From 6566e4aa117fbe248c5f5c7745c196fa0a9497d4 Mon Sep 17 00:00:00 2001
From: TOsmanov <54434686+TOsmanov@users.noreply.github.com>
Date: Thu, 7 May 2020 16:50:18 +0300
Subject: [PATCH 1/4] Update items Workspace and Types of shapes in User Guide
 (#1497)

---
 .../documentation/images/image007_DETRAC.jpg  | Bin 118322 -> 184672 bytes
 .../documentation/images/image013_DETRAC.JPG  | Bin 258974 -> 261515 bytes
 .../documentation/images/image015_DETRAC.jpg  | Bin 0 -> 38097 bytes
 .../images/image138_mapillary_vistas.jpg      | Bin 0 -> 137019 bytes
 .../images/image139_mapillary_vistas.jpg      | Bin 0 -> 8519 bytes
 .../static/documentation/images/image140.jpg  | Bin 0 -> 7753 bytes
 cvat/apps/documentation/user_guide.md         |  46 +++++++-----------
 7 files changed, 17 insertions(+), 29 deletions(-)
 create mode 100644 cvat/apps/documentation/static/documentation/images/image015_DETRAC.jpg
 create mode 100644 cvat/apps/documentation/static/documentation/images/image138_mapillary_vistas.jpg
 create mode 100644 cvat/apps/documentation/static/documentation/images/image139_mapillary_vistas.jpg
 create mode 100644 cvat/apps/documentation/static/documentation/images/image140.jpg

diff --git a/cvat/apps/documentation/static/documentation/images/image007_DETRAC.jpg b/cvat/apps/documentation/static/documentation/images/image007_DETRAC.jpg
index 662b739e284285a42a74c239afa5bc1ccd92b583..49c07ab6b9a59a5e62f8fc4eaa74984244f57243 100644
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HcmV?d00001

diff --git a/cvat/apps/documentation/user_guide.md b/cvat/apps/documentation/user_guide.md
index 7e4ec29dce0..4d8ef78b05d 100644
--- a/cvat/apps/documentation/user_guide.md
+++ b/cvat/apps/documentation/user_guide.md
@@ -14,7 +14,7 @@
     - [Downloading annotations](#downloading-annotations)
     - [Task synchronization with a repository](#task-synchronization-with-a-repository)
     - [Vocabulary](#vocabulary)
-    - [Workspace — Context menu](#workspace--context-menu)
+    - [Workspace](#workspace)
     - [Settings](#settings)
     - [Bottom Panel](#bottom-panel)
     - [Side panel](#side-panel)
@@ -383,11 +383,12 @@ The tool consists of:
 
 ### Types of shapes (basics)
 
-There are four shapes which you can annotate your images with:
+There are five shapes which you can annotate your images with:
 - ``Rectangle`` or ``Bounding box``
 - ``Polygon``
 - ``Polyline``
 - ``Points``
+- ``Cuboid``
 - ``Tag``
 
 And there is how they all look like:
@@ -396,7 +397,7 @@ And there is how they all look like:
 
 ![](static/documentation/images/image009_mapillary_vistas.jpg "Polyline") ![](static/documentation/images/image010_Affectnet.jpg "Points")
 
-![](static/documentation/images/image135.jpg "Tag")
+![](static/documentation/images/image015_DETRAC.jpg "Cuboid") ![](static/documentation/images/image135.jpg "Tag") 
 
 ``Tag`` - has no shape in the workspace, but is displayed in objects sidebar.
 
@@ -609,38 +610,25 @@ Tracks are created in ``Track mode``
 - _Automatic_ which is created automatically without a person in the loop
 
 ---
-### Workspace — Context menu
+### Workspace
 
-Press the ``Right mouse button`` to see the context menu.
+This is the main field in which drawing and editing objects takes place. 
+In addition the workspace also has the following functions: 
+-   Right-clicking on an object calls up the ``Object card`` - this is an element containing 
+    the necessary controls for changing the label and attributes of the object, as well as the action menu.
 
-Next options are available clicking inside bounding box:
-- ``Copy Object URL`` — copying to the buffer address of an object on the frame
-in the task
-- ``Change Color`` — change color of active shape
-- ``Remove Shape`` — deleting the shape
-- ``Switch Occluded`` — attribute is used if an object is occluded by another
-object or isn't fully visible on the frame. Use the ``Q`` shortcut to set the
-property quickly.
-- ``Switch Lock`` — block editing the active shape
-- ``Enable Dragging`` — (only for polygons) allows to adjust polygons position
-- ``Split`` — allows to split an interpolated track into two separate tracks. This function is the opposite
-of the merge function.
+    ![](static/documentation/images/image138_mapillary_vistas.jpg)
 
-![](static/documentation/images/image089.jpg)
-![](static/documentation/images/image090.jpg)
-![](static/documentation/images/image103.jpg)
+-   Right-clicking a point deletes it.
 
-Clicking on the points of poly-shapes, ``Remove`` option is available.
+    ![](static/documentation/images/image139_mapillary_vistas.jpg)
 
-![](static/documentation/images/image092.jpg)
+-   ``Z-axis slider`` - Allows you to switch annotation layers hiding the upper layers 
+    (slider is enabled if several z layers are on a frame). 
+    This element has a button for adding a new layer. When pressed, a new layer is added and switched to it.
+    You can move objects in layers using the ``+`` and ``-`` keys.
 
-Clicking outside any shapes, you can copy ``Frame URL`` (link to present frame) or ``Job URL`` (link from address bar)
-
-![](static/documentation/images/image091.jpg)
-
-Applying ``split`` into an interpolated track divides it into two separate tracks.
-
-![](static/documentation/images/gif010.gif)
+    ![](static/documentation/images/image140.jpg)
 
 ---
 ### Settings

From 5ab549956fd79a656b2185b6980f22b248b2def7 Mon Sep 17 00:00:00 2001
From: zhiltsov-max <zhiltsov.max35@gmail.com>
Date: Wed, 13 May 2020 11:15:46 +0300
Subject: [PATCH 2/4] Merge annotations and dataset_manager apps (#1352)

---
 .travis.yml                                   |    5 +-
 .vscode/settings.json                         |    3 +-
 CHANGELOG.md                                  |   20 +-
 CONTRIBUTING.md                               |    1 +
 README.md                                     |   36 +-
 cvat-core/package.json                        |    2 +-
 ...tation-format.js => annotation-formats.js} |  117 +-
 cvat-core/src/annotations.js                  |    2 +-
 cvat-core/src/api-implementation.js           |    9 +-
 cvat-core/src/api.js                          |   16 +-
 cvat-core/src/server-proxy.js                 |   24 +-
 cvat-core/src/session.js                      |   10 +-
 cvat-core/tests/api/server.js                 |   35 +-
 cvat-core/tests/mocks/dummy-data.mock.js      |   87 +-
 cvat-ui/package-lock.json                     |  161 ++-
 cvat-ui/package.json                          |    2 +-
 cvat-ui/src/actions/formats-actions.ts        |    7 +-
 cvat-ui/src/actions/tasks-actions.ts          |    4 +-
 .../components/actions-menu/actions-menu.tsx  |    4 +-
 .../components/actions-menu/dump-submenu.tsx  |    4 +-
 .../top-bar/annotation-menu.tsx               |    4 +-
 .../containers/actions-menu/actions-menu.tsx  |   21 +-
 .../top-bar/annotation-menu.tsx               |   20 +-
 cvat-ui/src/reducers/formats-reducer.ts       |    4 +-
 cvat-ui/src/reducers/interfaces.ts            |    3 +-
 cvat/apps/annotation/README.md                |  628 ----------
 cvat/apps/annotation/__init__.py              |    4 -
 cvat/apps/annotation/admin.py                 |    3 -
 cvat/apps/annotation/annotation.py            |  518 --------
 cvat/apps/annotation/apps.py                  |   18 -
 cvat/apps/annotation/format.py                |   41 -
 .../annotation/migrations/0001_initial.py     |   48 -
 .../migrations/0002_auto_20190805_0927.py     |   74 --
 cvat/apps/annotation/migrations/__init__.py   |    3 -
 cvat/apps/annotation/models.py                |   46 -
 cvat/apps/annotation/serializers.py           |   81 --
 cvat/apps/annotation/settings.py              |   17 -
 cvat/apps/annotation/tests.py                 |    3 -
 cvat/apps/annotation/views.py                 |    3 -
 cvat/apps/auto_annotation/model_manager.py    |    8 +-
 cvat/apps/auto_segmentation/views.py          |    6 +-
 cvat/apps/dataset_manager/__init__.py         |    0
 .../annotation.py}                            |  156 ++-
 cvat/apps/dataset_manager/bindings.py         |  497 ++++++--
 cvat/apps/dataset_manager/formats/README.md   |  753 ++++++++++++
 cvat/apps/dataset_manager/formats/__init__.py |    0
 cvat/apps/dataset_manager/formats/coco.py     |   76 +-
 cvat/apps/dataset_manager/formats/cvat.py     |   92 +-
 .../formats/datumaro/__init__.py              |   99 ++
 .../datumaro}/export_templates/README.md      |    0
 .../plugins/cvat_rest_api_task_images.py      |   53 +-
 cvat/apps/dataset_manager/formats/labelme.py  |   75 +-
 cvat/apps/dataset_manager/formats/mask.py     |   87 +-
 cvat/apps/dataset_manager/formats/mot.py      |   87 +-
 .../dataset_manager/formats/pascal_voc.py     |   99 +-
 cvat/apps/dataset_manager/formats/registry.py |   87 ++
 cvat/apps/dataset_manager/formats/tfrecord.py |   67 +-
 cvat/apps/dataset_manager/formats/yolo.py     |   82 +-
 cvat/apps/dataset_manager/serializers.py      |   15 +
 cvat/apps/dataset_manager/task.py             | 1060 +++++++++++------
 .../{_tests.py => tests/_test_formats.py}     |   80 +-
 .../tests/test_annotation.py}                 |    2 +-
 cvat/apps/dataset_manager/views.py            |  107 ++
 cvat/apps/documentation/user_guide.md         |   62 +-
 cvat/apps/engine/annotation.py                |  764 ------------
 .../migrations/0017_db_redesign_20190221.py   |    2 +-
 cvat/apps/engine/serializers.py               |    3 +
 .../engine/static/engine/js/annotationUI.js   |   29 +-
 cvat/apps/engine/static/engine/js/base.js     |   12 +-
 .../engine/static/engine/js/cvat-core.min.js  |    6 +-
 .../{test_rest_api.py => _test_rest_api.py}   |  291 +++--
 cvat/apps/engine/views.py                     |  411 +++----
 cvat/apps/git/git.py                          |   88 +-
 cvat/apps/tf_annotation/views.py              |    6 +-
 cvat/settings/base.py                         |    5 +-
 .../datumaro/cli/contexts/project/__init__.py |    1 -
 datumaro/datumaro/components/cli_plugin.py    |   14 +-
 .../datumaro/components/dataset_filter.py     |   13 +-
 datumaro/datumaro/components/extractor.py     |    4 +-
 datumaro/datumaro/components/project.py       |    2 +-
 .../datumaro/plugins/cvat_format/converter.py |    2 +-
 .../plugins/datumaro_format/converter.py      |   24 +
 datumaro/datumaro/util/__init__.py            |   19 +-
 datumaro/datumaro/util/image.py               |   41 +-
 datumaro/tests/test_image.py                  |    5 +-
 datumaro/tests/test_images.py                 |   18 +-
 utils/cli/README.md                           |    2 +-
 utils/cli/cli.py                              |    2 +-
 utils/cli/core/core.py                        |   11 +-
 utils/cli/core/definition.py                  |    4 +-
 utils/cli/tests/{test_cli.py => _test_cli.py} |   22 +-
 91 files changed, 3544 insertions(+), 3995 deletions(-)
 rename cvat-core/src/{annotation-format.js => annotation-formats.js} (50%)
 delete mode 100644 cvat/apps/annotation/README.md
 delete mode 100644 cvat/apps/annotation/__init__.py
 delete mode 100644 cvat/apps/annotation/admin.py
 delete mode 100644 cvat/apps/annotation/annotation.py
 delete mode 100644 cvat/apps/annotation/apps.py
 delete mode 100644 cvat/apps/annotation/format.py
 delete mode 100644 cvat/apps/annotation/migrations/0001_initial.py
 delete mode 100644 cvat/apps/annotation/migrations/0002_auto_20190805_0927.py
 delete mode 100644 cvat/apps/annotation/migrations/__init__.py
 delete mode 100644 cvat/apps/annotation/models.py
 delete mode 100644 cvat/apps/annotation/serializers.py
 delete mode 100644 cvat/apps/annotation/settings.py
 delete mode 100644 cvat/apps/annotation/tests.py
 delete mode 100644 cvat/apps/annotation/views.py
 delete mode 100644 cvat/apps/dataset_manager/__init__.py
 rename cvat/apps/{engine/data_manager.py => dataset_manager/annotation.py} (75%)
 create mode 100644 cvat/apps/dataset_manager/formats/README.md
 delete mode 100644 cvat/apps/dataset_manager/formats/__init__.py
 create mode 100644 cvat/apps/dataset_manager/formats/datumaro/__init__.py
 rename cvat/apps/dataset_manager/{ => formats/datumaro}/export_templates/README.md (100%)
 rename cvat/apps/dataset_manager/{ => formats/datumaro}/export_templates/plugins/cvat_rest_api_task_images.py (71%)
 create mode 100644 cvat/apps/dataset_manager/formats/registry.py
 create mode 100644 cvat/apps/dataset_manager/serializers.py
 rename cvat/apps/dataset_manager/{_tests.py => tests/_test_formats.py} (80%)
 rename cvat/apps/{engine/tests/test_data_manager.py => dataset_manager/tests/test_annotation.py} (94%)
 create mode 100644 cvat/apps/dataset_manager/views.py
 delete mode 100644 cvat/apps/engine/annotation.py
 rename cvat/apps/engine/tests/{test_rest_api.py => _test_rest_api.py} (94%)
 rename utils/cli/tests/{test_cli.py => _test_cli.py} (93%)

diff --git a/.travis.yml b/.travis.yml
index 7ea575eb2a9..3a2118d95ea 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -21,11 +21,12 @@ before_script:
   - mkdir -m a=rwx -p ${HOST_COVERAGE_DATA_DIR}
 
 script:
-  - docker-compose -f docker-compose.yml -f docker-compose.ci.yml run cvat_ci /bin/bash -c 'coverage run -a manage.py test cvat/apps utils/cli && coverage run -a --source cvat/apps/ manage.py test --pattern="_tests.py" cvat/apps/dataset_manager && mv .coverage ${CONTAINER_COVERAGE_DATA_DIR}'
+  # FIXME: Git package and application name conflict in PATH
+  - docker-compose -f docker-compose.yml -f docker-compose.ci.yml run cvat_ci /bin/bash -c 'coverage run -a manage.py test cvat/apps && coverage run -a manage.py test --pattern="_test*.py" cvat/apps/dataset_manager/tests cvat/apps/engine/tests utils/cli && coverage run -a manage.py test datumaro/ && mv .coverage ${CONTAINER_COVERAGE_DATA_DIR}'
   - docker-compose -f docker-compose.yml -f docker-compose.ci.yml run cvat_ci /bin/bash -c 'cd cvat-data && npm install && cd ../cvat-core && npm install && npm run test && mv ./reports/coverage/lcov.info ${CONTAINER_COVERAGE_DATA_DIR}'
 
 after_success:
   # https://coveralls-python.readthedocs.io/en/latest/usage/multilang.html
   - mv ${HOST_COVERAGE_DATA_DIR}/* .
   - coveralls-lcov -v -n lcov.info > coverage.json
-  - coveralls --merge=coverage.json
\ No newline at end of file
+  - coveralls --merge=coverage.json
diff --git a/.vscode/settings.json b/.vscode/settings.json
index d7f4a5984ff..3b796a0be54 100644
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -33,5 +33,6 @@
         "./datumaro",
     ],
     "licenser.license": "Custom",
-    "licenser.customHeader": "Copyright (C) @YEAR@ Intel Corporation\n\nSPDX-License-Identifier: MIT"
+    "licenser.customHeader": "Copyright (C) @YEAR@ Intel Corporation\n\nSPDX-License-Identifier: MIT",
+    "files.trimTrailingWhitespace": true
 }
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 87a6a475b66..e6b333bcc73 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -6,18 +6,32 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [1.0.0] - Unreleased
 ### Added
--
+- Added `datumaro_project` export format (https://github.com/opencv/cvat/pull/1352)
 
 ### Changed
-- cvat-core: session.annotations.put() now returns identificators of added objects (<https://github.com/opencv/cvat/pull/1493>)
+- Downloaded file name in annotations export became more informative (https://github.com/opencv/cvat/pull/1352)
+- Added auto trimming for trailing whitespaces style enforsement (https://github.com/opencv/cvat/pull/1352)
+- REST API: updated `GET /task/<id>/annotations`: parameters are `format`, `filename` (now optional), `action` (optional) (https://github.com/opencv/cvat/pull/1352)
+- REST API: removed `dataset/formats`, changed format of `annotation/formats` (https://github.com/opencv/cvat/pull/1352)
+- Exported annotations are stored for N hours instead of indefinitely (https://github.com/opencv/cvat/pull/1352)
+- Formats: CVAT format now accepts ZIP and XML (https://github.com/opencv/cvat/pull/1352)
+- Formats: COCO format now accepts ZIP and JSON (https://github.com/opencv/cvat/pull/1352)
+- Formats: most of formats renamed, no extension in title (https://github.com/opencv/cvat/pull/1352)
+- Formats: definitions are changed, are not stored in DB anymore (https://github.com/opencv/cvat/pull/1352)
+- cvat-core: session.annotations.put() now returns identificators of added objects (https://github.com/opencv/cvat/pull/1493)
 
 ### Deprecated
 -
 
 ### Removed
--
+- `annotation` application is replaced with `dataset_manager` (https://github.com/opencv/cvat/pull/1352)
 
 ### Fixed
+- Categories for empty projects with no sources are taken from own dataset (https://github.com/opencv/cvat/pull/1352)
+- Added directory removal on error during `extract` command (https://github.com/opencv/cvat/pull/1352)
+- Added debug error message on incorrect XPath (https://github.com/opencv/cvat/pull/1352)
+- Exporting frame stepped task (https://github.com/opencv/cvat/issues/1294, https://github.com/opencv/cvat/issues/1334)
+- Fixed broken command line interface for `cvat` export format in Datumaro (https://github.com/opencv/cvat/issues/1494)
 - Updated Rest API document, Swagger document serving instruction issue (https://github.com/opencv/cvat/issues/1495)
 
 ### Security
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 56accad6a1a..1b02c62cc65 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -75,6 +75,7 @@ for development
     - [ESLint](https://marketplace.visualstudio.com/items?itemName=dbaeumer.vscode-eslint)
     - [vscode-remark-lint](https://marketplace.visualstudio.com/items?itemName=drewbourne.vscode-remark-lint)
     - [licenser](https://marketplace.visualstudio.com/items?itemName=ymotongpoo.licenser)
+    - [Trailing Spaces](https://marketplace.visualstudio.com/items?itemName=shardulm94.trailing-spaces)
 
 -   Reload Visual Studio Code from virtual environment
 
diff --git a/README.md b/README.md
index c71325551f0..ccbebd4c42b 100644
--- a/README.md
+++ b/README.md
@@ -7,7 +7,10 @@
 [![codebeat badge](https://codebeat.co/badges/53cd0d16-fddc-46f8-903c-f43ed9abb6dd)](https://codebeat.co/projects/github-com-opencv-cvat-develop)
 [![DOI](https://zenodo.org/badge/139156354.svg)](https://zenodo.org/badge/latestdoi/139156354)
 
-CVAT is free, online, interactive video and image annotation tool for computer vision. It is being used by our team to annotate million of objects with different properties. Many UI and UX decisions are based on feedbacks from professional data annotation team.
+CVAT is free, online, interactive video and image annotation
+tool for computer vision. It is being used by our team to
+annotate million of objects with different properties. Many UI
+and UX decisions are based on feedbacks from professional data annotation team.
 
 ![CVAT screenshot](cvat/apps/documentation/static/documentation/images/cvat.jpg)
 
@@ -34,21 +37,23 @@ CVAT is free, online, interactive video and image annotation tool for computer v
 
 ## Supported annotation formats
 
-Format selection is possible after clicking on the Upload annotation / Dump annotation button.
-[Datumaro](datumaro/README.md) dataset framework allows additional dataset transformations
-via its command line tool.
+Format selection is possible after clicking on the Upload annotation
+and Dump annotation buttons. [Datumaro](datumaro/README.md) dataset
+framework allows additional dataset transformations
+via its command line tool and Python library.
 
-| Annotation format                                                                          | Dumper | Loader |
+| Annotation format                                                                          | Import | Export |
 | ------------------------------------------------------------------------------------------ | ------ | ------ |
-| [CVAT XML v1.1 for images](cvat/apps/documentation/xml_format.md#annotation)               | X      | X      |
-| [CVAT XML v1.1 for a video](cvat/apps/documentation/xml_format.md#interpolation)           | X      | X      |
-| [Pascal VOC](http://host.robots.ox.ac.uk/pascal/VOC/)                                      | X      | X      |
+| [CVAT for images](cvat/apps/documentation/xml_format.md#annotation)                        | X      | X      |
+| [CVAT for a video](cvat/apps/documentation/xml_format.md#interpolation)                    | X      | X      |
+| [Datumaro](datumaro/README.md)                                                             |        | X      |
+| [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/)                                      | X      | X      |
+| Segmentation masks from [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/)              | X      | X      |
 | [YOLO](https://pjreddie.com/darknet/yolo/)                                                 | X      | X      |
 | [MS COCO Object Detection](http://cocodataset.org/#format-data)                            | X      | X      |
-| PNG class mask + instance mask as in [Pascal VOC](http://host.robots.ox.ac.uk/pascal/VOC/) | X      | X      |
 | [TFrecord](https://www.tensorflow.org/tutorials/load_data/tf_records)                      | X      | X      |
 | [MOT](https://motchallenge.net/)                                                           | X      | X      |
-| [LabelMe](http://labelme.csail.mit.edu/Release3.0)                                         | X      | X      |
+| [LabelMe 3.0](http://labelme.csail.mit.edu/Release3.0)                                     | X      | X      |
 
 ## Links
 - [Intel AI blog: New Computer Vision Tool Accelerates Annotation of Digital Images and Video](https://www.intel.ai/introducing-cvat)
@@ -57,14 +62,19 @@ via its command line tool.
 
 ## Online Demo
 
-[Onepanel](https://www.onepanel.io/) has added CVAT as an environment into their platform and a running demo of CVAT can be accessed at [CVAT Public Demo](https://c.onepanel.io/onepanel-demo/projects/cvat-public-demo/workspaces?utm_source=cvat).
+[Onepanel](https://www.onepanel.io/) has added CVAT as an environment
+into their platform and a running demo of CVAT can be accessed at
+[CVAT Public Demo](https://c.onepanel.io/onepanel-demo/projects/cvat-public-demo/workspaces?utm_source=cvat).
 
-If you have any questions, please contact Onepanel directly at support@onepanel.io. If you are in the Onepanel application, you can also use the chat icon in the bottom right corner.
+If you have any questions, please contact Onepanel directly at
+support@onepanel.io. If you are in the Onepanel application, you can also
+use the chat icon in the bottom right corner.
 
 ## REST API
 
 Automatically generated Swagger documentation for Django REST API is
-available on ``<cvat_origin>/api/swagger`` (default: ``localhost:8080/api/swagger``).
+available on ``<cvat_origin>/api/swagger``
+(default: ``localhost:8080/api/swagger``).
 
 Swagger documentation is visiable on allowed hostes, Update environement variable in docker-compose.yml file with cvat hosted machine IP or domain name. Example - ``ALLOWED_HOSTS: 'localhost, 127.0.0.1'``)
 
diff --git a/cvat-core/package.json b/cvat-core/package.json
index 0a1dd9de0d7..de54337f9e8 100644
--- a/cvat-core/package.json
+++ b/cvat-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "cvat-core",
-  "version": "1.0.0",
+  "version": "2.0.0",
   "description": "Part of Computer Vision Tool which presents an interface for client-side integration",
   "main": "babel.config.js",
   "scripts": {
diff --git a/cvat-core/src/annotation-format.js b/cvat-core/src/annotation-formats.js
similarity index 50%
rename from cvat-core/src/annotation-format.js
rename to cvat-core/src/annotation-formats.js
index 5505ecf1a32..641f7bc0616 100644
--- a/cvat-core/src/annotation-format.js
+++ b/cvat-core/src/annotation-formats.js
@@ -12,9 +12,8 @@
     class Loader {
         constructor(initialData) {
             const data = {
-                display_name: initialData.display_name,
-                format: initialData.format,
-                handler: initialData.handler,
+                name: initialData.name,
+                format: initialData.ext,
                 version: initialData.version,
             };
 
@@ -27,7 +26,7 @@
                         * @readonly
                         * @instance
                     */
-                    get: () => data.display_name,
+                    get: () => data.name,
                 },
                 format: {
                     /**
@@ -39,16 +38,6 @@
                     */
                     get: () => data.format,
                 },
-                handler: {
-                    /**
-                        * @name handler
-                        * @type {string}
-                        * @memberof module:API.cvat.classes.Loader
-                        * @readonly
-                        * @instance
-                    */
-                    get: () => data.handler,
-                },
                 version: {
                     /**
                         * @name version
@@ -71,9 +60,8 @@
     class Dumper {
         constructor(initialData) {
             const data = {
-                display_name: initialData.display_name,
-                format: initialData.format,
-                handler: initialData.handler,
+                name: initialData.name,
+                format: initialData.ext,
                 version: initialData.version,
             };
 
@@ -86,7 +74,7 @@
                         * @readonly
                         * @instance
                     */
-                    get: () => data.display_name,
+                    get: () => data.name,
                 },
                 format: {
                     /**
@@ -98,16 +86,6 @@
                     */
                     get: () => data.format,
                 },
-                handler: {
-                    /**
-                        * @name handler
-                        * @type {string}
-                        * @memberof module:API.cvat.classes.Dumper
-                        * @readonly
-                        * @instance
-                    */
-                    get: () => data.handler,
-                },
                 version: {
                     /**
                         * @name version
@@ -127,108 +105,41 @@
         * @memberof module:API.cvat.classes
         * @hideconstructor
     */
-    class AnnotationFormat {
+    class AnnotationFormats {
         constructor(initialData) {
             const data = {
-                created_date: initialData.created_date,
-                updated_date: initialData.updated_date,
-                id: initialData.id,
-                owner: initialData.owner,
-                name: initialData.name,
-                handler_file: initialData.handler_file,
+                exporters: initialData.exporters.map((el) => new Dumper(el)),
+                importers: initialData.importers.map((el) => new Loader(el)),
             };
 
-            data.dumpers = initialData.dumpers.map((el) => new Dumper(el));
-            data.loaders = initialData.loaders.map((el) => new Loader(el));
-
             // Now all fields are readonly
             Object.defineProperties(this, {
-                id: {
-                    /**
-                        * @name id
-                        * @type {integer}
-                        * @memberof module:API.cvat.classes.AnnotationFormat
-                        * @readonly
-                        * @instance
-                    */
-                    get: () => data.id,
-                },
-                owner: {
-                    /**
-                        * @name owner
-                        * @type {integer}
-                        * @memberof module:API.cvat.classes.AnnotationFormat
-                        * @readonly
-                        * @instance
-                    */
-                    get: () => data.owner,
-                },
-                name: {
-                    /**
-                        * @name name
-                        * @type {string}
-                        * @memberof module:API.cvat.classes.AnnotationFormat
-                        * @readonly
-                        * @instance
-                    */
-                    get: () => data.name,
-                },
-                createdDate: {
-                    /**
-                        * @name createdDate
-                        * @type {string}
-                        * @memberof module:API.cvat.classes.AnnotationFormat
-                        * @readonly
-                        * @instance
-                    */
-                    get: () => data.created_date,
-                },
-                updatedDate: {
-                    /**
-                        * @name updatedDate
-                        * @type {string}
-                        * @memberof module:API.cvat.classes.AnnotationFormat
-                        * @readonly
-                        * @instance
-                    */
-                    get: () => data.updated_date,
-                },
-                handlerFile: {
-                    /**
-                        * @name handlerFile
-                        * @type {string}
-                        * @memberof module:API.cvat.classes.AnnotationFormat
-                        * @readonly
-                        * @instance
-                    */
-                    get: () => data.handler_file,
-                },
                 loaders: {
                     /**
                         * @name loaders
                         * @type {module:API.cvat.classes.Loader[]}
-                        * @memberof module:API.cvat.classes.AnnotationFormat
+                        * @memberof module:API.cvat.classes.AnnotationFormats
                         * @readonly
                         * @instance
                     */
-                    get: () => [...data.loaders],
+                    get: () => [...data.importers],
                 },
                 dumpers: {
                     /**
                         * @name dumpers
                         * @type {module:API.cvat.classes.Dumper[]}
-                        * @memberof module:API.cvat.classes.AnnotationFormat
+                        * @memberof module:API.cvat.classes.AnnotationFormats
                         * @readonly
                         * @instance
                     */
-                    get: () => [...data.dumpers],
+                    get: () => [...data.exporters],
                 },
             });
         }
     }
 
     module.exports = {
-        AnnotationFormat,
+        AnnotationFormats,
         Loader,
         Dumper,
     };
diff --git a/cvat-core/src/annotations.js b/cvat-core/src/annotations.js
index 608faf1eee9..e2f452a7137 100644
--- a/cvat-core/src/annotations.js
+++ b/cvat-core/src/annotations.js
@@ -17,7 +17,7 @@
     const {
         Loader,
         Dumper,
-    } = require('./annotation-format.js');
+    } = require('./annotation-formats.js');
     const {
         ScriptingError,
         DataError,
diff --git a/cvat-core/src/api-implementation.js b/cvat-core/src/api-implementation.js
index 4b7e2872719..2147c19c9cb 100644
--- a/cvat-core/src/api-implementation.js
+++ b/cvat-core/src/api-implementation.js
@@ -26,7 +26,7 @@
     } = require('./enums');
 
     const User = require('./user');
-    const { AnnotationFormat } = require('./annotation-format.js');
+    const { AnnotationFormats } = require('./annotation-formats.js');
     const { ArgumentError } = require('./exceptions');
     const { Task } = require('./session');
 
@@ -66,12 +66,7 @@
 
         cvat.server.formats.implementation = async () => {
             const result = await serverProxy.server.formats();
-            return result.map((el) => new AnnotationFormat(el));
-        };
-
-        cvat.server.datasetFormats.implementation = async () => {
-            const result = await serverProxy.server.datasetFormats();
-            return result;
+            return new AnnotationFormats(result);
         };
 
         cvat.server.register.implementation = async (username, firstName, lastName,
diff --git a/cvat-core/src/api.js b/cvat-core/src/api.js
index 4eb4e99af00..777d3fc0187 100644
--- a/cvat-core/src/api.js
+++ b/cvat-core/src/api.js
@@ -109,7 +109,7 @@ function build() {
                 * @method formats
                 * @async
                 * @memberof module:API.cvat.server
-                * @returns {module:API.cvat.classes.AnnotationFormat[]}
+                * @returns {module:API.cvat.classes.AnnotationFormats}
                 * @throws {module:API.cvat.exceptions.PluginError}
                 * @throws {module:API.cvat.exceptions.ServerError}
             */
@@ -118,20 +118,6 @@ function build() {
                     .apiWrapper(cvat.server.formats);
                 return result;
             },
-            /**
-                * Method returns available dataset export formats
-                * @method exportFormats
-                * @async
-                * @memberof module:API.cvat.server
-                * @returns {module:String[]}
-                * @throws {module:API.cvat.exceptions.PluginError}
-                * @throws {module:API.cvat.exceptions.ServerError}
-            */
-            async datasetFormats() {
-                const result = await PluginRegistry
-                    .apiWrapper(cvat.server.datasetFormats);
-                return result;
-            },
             /**
                 * Method allows to register on a server
                 * @method register
diff --git a/cvat-core/src/server-proxy.js b/cvat-core/src/server-proxy.js
index 8251328223d..2c28ea27d98 100644
--- a/cvat-core/src/server-proxy.js
+++ b/cvat-core/src/server-proxy.js
@@ -154,22 +154,6 @@
                 return response.data;
             }
 
-            async function datasetFormats() {
-                const { backendAPI } = config;
-
-                let response = null;
-                try {
-                    response = await Axios.get(`${backendAPI}/server/dataset/formats`, {
-                        proxy: config.proxy,
-                    });
-                    response = JSON.parse(response.data);
-                } catch (errorData) {
-                    throw generateError(errorData);
-                }
-
-                return response;
-            }
-
             async function register(username, firstName, lastName, email, password1, password2) {
                 let response = null;
                 try {
@@ -617,9 +601,12 @@
             // Session is 'task' or 'job'
             async function dumpAnnotations(id, name, format) {
                 const { backendAPI } = config;
-                const filename = name.replace(/\//g, '_');
-                const baseURL = `${backendAPI}/tasks/${id}/annotations/${encodeURIComponent(filename)}`;
+                const baseURL = `${backendAPI}/tasks/${id}/annotations`;
                 let query = `format=${encodeURIComponent(format)}`;
+                if (name) {
+                    const filename = name.replace(/\//g, '_');
+                    query += `&filename=${encodeURIComponent(filename)}`;
+                }
                 let url = `${baseURL}?${query}`;
 
                 return new Promise((resolve, reject) => {
@@ -664,7 +651,6 @@
                         about,
                         share,
                         formats,
-                        datasetFormats,
                         exception,
                         login,
                         logout,
diff --git a/cvat-core/src/session.js b/cvat-core/src/session.js
index 1726766d328..2af76d13758 100644
--- a/cvat-core/src/session.js
+++ b/cvat-core/src/session.js
@@ -39,9 +39,9 @@
                         return result;
                     },
 
-                    async dump(name, dumper) {
+                    async dump(dumper, name = null) {
                         const result = await PluginRegistry
-                            .apiWrapper.call(this, prototype.annotations.dump, name, dumper);
+                            .apiWrapper.call(this, prototype.annotations.dump, dumper, name);
                         return result;
                     },
 
@@ -255,8 +255,8 @@
                 * Method always dumps annotations for a whole task.
                 * @method dump
                 * @memberof Session.annotations
-                * @param {string} name - a name of a file with annotations
                 * @param {module:API.cvat.classes.Dumper} dumper - a dumper
+                * @param {string} [name = null] - a name of a file with annotations
                 * which will be used to dump
                 * @returns {string} URL which can be used in order to get a dump file
                 * @throws {module:API.cvat.exceptions.PluginError}
@@ -1541,7 +1541,7 @@
         return result;
     };
 
-    Job.prototype.annotations.dump.implementation = async function (name, dumper) {
+    Job.prototype.annotations.dump.implementation = async function (dumper, name) {
         const result = await dumpAnnotations(this, name, dumper);
         return result;
     };
@@ -1785,7 +1785,7 @@
         return result;
     };
 
-    Task.prototype.annotations.dump.implementation = async function (name, dumper) {
+    Task.prototype.annotations.dump.implementation = async function (dumper, name) {
         const result = await dumpAnnotations(this, name, dumper);
         return result;
     };
diff --git a/cvat-core/tests/api/server.js b/cvat-core/tests/api/server.js
index 6220e158dd5..80fb88685d8 100644
--- a/cvat-core/tests/api/server.js
+++ b/cvat-core/tests/api/server.js
@@ -18,10 +18,10 @@ jest.mock('../../src/server-proxy', () => {
 // Initialize api
 window.cvat = require('../../src/api');
 const {
-    AnnotationFormat,
+    AnnotationFormats,
     Loader,
     Dumper,
-} = require('../../src/annotation-format');
+} = require('../../src/annotation-formats');
 
 // Test cases
 describe('Feature: get info about cvat', () => {
@@ -58,24 +58,18 @@ describe('Feature: get share storage info', () => {
 describe('Feature: get annotation formats', () => {
     test('get annotation formats from a server', async () => {
         const result = await window.cvat.server.formats();
-        expect(Array.isArray(result)).toBeTruthy();
-        for (const format of result) {
-            expect(format).toBeInstanceOf(AnnotationFormat);
-        }
+        expect(result).toBeInstanceOf(AnnotationFormats);
     });
 });
 
 describe('Feature: get annotation loaders', () => {
     test('get annotation formats from a server', async () => {
         const result = await window.cvat.server.formats();
-        expect(Array.isArray(result)).toBeTruthy();
-        for (const format of result) {
-            expect(format).toBeInstanceOf(AnnotationFormat);
-            const { loaders } = format;
-            expect(Array.isArray(loaders)).toBeTruthy();
-            for (const loader of loaders) {
-                expect(loader).toBeInstanceOf(Loader);
-            }
+        expect(result).toBeInstanceOf(AnnotationFormats);
+        const { loaders } = result;
+        expect(Array.isArray(loaders)).toBeTruthy();
+        for (const loader of loaders) {
+            expect(loader).toBeInstanceOf(Loader);
         }
     });
 });
@@ -83,14 +77,11 @@ describe('Feature: get annotation loaders', () => {
 describe('Feature: get annotation dumpers', () => {
     test('get annotation formats from a server', async () => {
         const result = await window.cvat.server.formats();
-        expect(Array.isArray(result)).toBeTruthy();
-        for (const format of result) {
-            expect(format).toBeInstanceOf(AnnotationFormat);
-            const { dumpers } = format;
-            expect(Array.isArray(dumpers)).toBeTruthy();
-            for (const dumper of dumpers) {
-                expect(dumper).toBeInstanceOf(Dumper);
-            }
+        expect(result).toBeInstanceOf(AnnotationFormats);
+        const { dumpers } = result;
+        expect(Array.isArray(dumpers)).toBeTruthy();
+        for (const dumper of dumpers) {
+            expect(dumper).toBeInstanceOf(Dumper);
         }
     });
 });
\ No newline at end of file
diff --git a/cvat-core/tests/mocks/dummy-data.mock.js b/cvat-core/tests/mocks/dummy-data.mock.js
index d5c65e9bade..dd688e14b8b 100644
--- a/cvat-core/tests/mocks/dummy-data.mock.js
+++ b/cvat-core/tests/mocks/dummy-data.mock.js
@@ -6,84 +6,47 @@ const aboutDummyData = {
     "version": "0.5.dev20190516142240"
 }
 
-const formatsDummyData = [{
-    "id": 1,
-    "dumpers": [
+const formatsDummyData = {
+    "exporters": [
         {
-            "display_name": "CVAT XML 1.1 for videos",
-            "format": "XML",
+            "name": "CVAT for video 1.1",
+            "ext": "XML",
             "version": "1.1",
-            "handler": "dump_as_cvat_interpolation"
         },
         {
-            "display_name": "CVAT XML 1.1 for images",
-            "format": "XML",
+            "name": "CVAT for images 1.1",
+            "ext": "XML",
             "version": "1.1",
-            "handler": "dump_as_cvat_annotation"
-        }
-    ],
-    "loaders": [
-        {
-            "display_name": "CVAT XML 1.1",
-            "format": "XML",
-            "version": "1.1",
-            "handler": "load"
-        }
-    ],
-    "name": "CVAT",
-    "created_date": "2019-08-08T12:18:56.571488+03:00",
-    "updated_date": "2019-08-08T12:18:56.571533+03:00",
-    "handler_file": "cvat/apps/annotation/cvat.py",
-    "owner": null
-},
-{
-    "id": 2,
-    "dumpers": [
+        },
         {
-            "display_name": "PASCAL VOC ZIP 1.0",
-            "format": "ZIP",
+            "name": "PASCAL VOC 1.0",
+            "ext": "ZIP",
             "version": "1.0",
-            "handler": "dump"
-        }
-    ],
-    "loaders": [
+        },
         {
-            "display_name": "PASCAL VOC ZIP 1.0",
-            "format": "ZIP",
+            "name": "YOLO 1.0",
+            "ext": "ZIP",
             "version": "1.0",
-            "handler": "load"
-        }
+        },
     ],
-    "name": "PASCAL VOC",
-    "created_date": "2019-08-08T12:18:56.625025+03:00",
-    "updated_date": "2019-08-08T12:18:56.625071+03:00",
-    "handler_file": "cvat/apps/annotation/pascal_voc.py",
-    "owner": null
-},
-{
-    "id": 3,
-    "dumpers": [
+    "importers": [
+        {
+            "name": "CVAT 1.1",
+            "ext": "XML, ZIP",
+            "version": "1.1",
+        },
         {
-            "display_name": "YOLO ZIP 1.0",
-            "format": "ZIP",
+            "name": "PASCAL VOC 1.0",
+            "ext": "ZIP",
             "version": "1.0",
-            "handler": "dump"
-        }
-    ],
-    "loaders": [
+        },
         {
-            "display_name": "YOLO ZIP 1.0",
-            "format": "ZIP",
+            "name": "MYFORMAT 1.0",
+            "ext": "TXT",
             "version": "1.0",
-            "handler": "load"
         }
     ],
-    "name": "YOLO",
-    "created_date": "2019-08-08T12:18:56.667534+03:00",
-    "updated_date": "2019-08-08T12:18:56.667578+03:00",
-    "handler_file": "cvat/apps/annotation/yolo.py",
-    "owner": null
-}];
+};
 
 const usersDummyData = {
     "count": 2,
diff --git a/cvat-ui/package-lock.json b/cvat-ui/package-lock.json
index 634b919ea46..a799df3272d 100644
--- a/cvat-ui/package-lock.json
+++ b/cvat-ui/package-lock.json
@@ -1,6 +1,6 @@
 {
   "name": "cvat-ui",
-  "version": "1.0.0",
+  "version": "1.0.1",
   "lockfileVersion": 1,
   "requires": true,
   "dependencies": {
@@ -16327,22 +16327,26 @@
           "dependencies": {
             "abbrev": {
               "version": "1.1.1",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/abbrev/-/abbrev-1.1.1.tgz",
+              "integrity": "sha512-nne9/IiQ/hzIhY6pdDnbBtz7DjPTKrY00P/zvPSm5pOFkl6xuGrGnXn/VtTNNfNtAfZ9/1RtehkszU9qcTii0Q==",
               "optional": true
             },
             "ansi-regex": {
               "version": "2.1.1",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-2.1.1.tgz",
+              "integrity": "sha1-w7M6te42DYbg5ijwRorn7yfWVN8=",
               "optional": true
             },
             "aproba": {
               "version": "1.2.0",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/aproba/-/aproba-1.2.0.tgz",
+              "integrity": "sha512-Y9J6ZjXtoYh8RnXVCMOU/ttDmk1aBjunq9vO0ta5x85WDQiQfUF9sIPBITdbiiIVcBo03Hi3jMxigBtsddlXRw==",
               "optional": true
             },
             "are-we-there-yet": {
               "version": "1.1.5",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/are-we-there-yet/-/are-we-there-yet-1.1.5.tgz",
+              "integrity": "sha512-5hYdAkZlcG8tOLujVDTgCT+uPX0VnpAH28gWsLfzpXYm7wP6mp5Q/gYyR7YQ0cKVJcXJnl3j2kpBan13PtQf6w==",
               "optional": true,
               "requires": {
                 "delegates": "^1.0.0",
@@ -16351,12 +16355,14 @@
             },
             "balanced-match": {
               "version": "1.0.0",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.0.tgz",
+              "integrity": "sha1-ibTRmasr7kneFk6gK4nORi1xt2c=",
               "optional": true
             },
             "brace-expansion": {
               "version": "1.1.11",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.11.tgz",
+              "integrity": "sha512-iCuPHDFgrHX7H2vEI/5xpz07zSHB00TpugqhmYtVmMO6518mCuRMoOYFldEBl0g187ufozdaHgWKcYFb61qGiA==",
               "optional": true,
               "requires": {
                 "balanced-match": "^1.0.0",
@@ -16365,32 +16371,38 @@
             },
             "chownr": {
               "version": "1.1.4",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/chownr/-/chownr-1.1.4.tgz",
+              "integrity": "sha512-jJ0bqzaylmJtVnNgzTeSOs8DPavpbYgEr/b0YL8/2GO3xJEhInFmhKMUnEJQjZumK7KXGFhUy89PrsJWlakBVg==",
               "optional": true
             },
             "code-point-at": {
               "version": "1.1.0",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/code-point-at/-/code-point-at-1.1.0.tgz",
+              "integrity": "sha1-DQcLTQQ6W+ozovGkDi7bPZpMz3c=",
               "optional": true
             },
             "concat-map": {
               "version": "0.0.1",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/concat-map/-/concat-map-0.0.1.tgz",
+              "integrity": "sha1-2Klr13/Wjfd5OnMDajug1UBdR3s=",
               "optional": true
             },
             "console-control-strings": {
               "version": "1.1.0",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/console-control-strings/-/console-control-strings-1.1.0.tgz",
+              "integrity": "sha1-PXz0Rk22RG6mRL9LOVB/mFEAjo4=",
               "optional": true
             },
             "core-util-is": {
               "version": "1.0.2",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/core-util-is/-/core-util-is-1.0.2.tgz",
+              "integrity": "sha1-tf1UIgqivFq1eqtxQMlAdUUDwac=",
               "optional": true
             },
             "debug": {
               "version": "3.2.6",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/debug/-/debug-3.2.6.tgz",
+              "integrity": "sha512-mel+jf7nrtEl5Pn1Qx46zARXKDpBbvzezse7p7LqINmdoIk8PYP5SySaxEmYv6TZ0JyEKA1hsCId6DIhgITtWQ==",
               "optional": true,
               "requires": {
                 "ms": "^2.1.1"
@@ -16398,17 +16410,20 @@
             },
             "deep-extend": {
               "version": "0.6.0",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/deep-extend/-/deep-extend-0.6.0.tgz",
+              "integrity": "sha512-LOHxIOaPYdHlJRtCQfDIVZtfw/ufM8+rVj649RIHzcm/vGwQRXFt6OPqIFWsm2XEMrNIEtWR64sY1LEKD2vAOA==",
               "optional": true
             },
             "delegates": {
               "version": "1.0.0",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/delegates/-/delegates-1.0.0.tgz",
+              "integrity": "sha1-hMbhWbgZBP3KWaDvRM2HDTElD5o=",
               "optional": true
             },
             "detect-libc": {
               "version": "1.0.3",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/detect-libc/-/detect-libc-1.0.3.tgz",
+              "integrity": "sha1-+hN8S9aY7fVc1c0CrFWfkaTEups=",
               "optional": true
             },
             "fs-minipass": {
@@ -16422,7 +16437,8 @@
             },
             "fs.realpath": {
               "version": "1.0.0",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/fs.realpath/-/fs.realpath-1.0.0.tgz",
+              "integrity": "sha1-FQStJSMVjKpA20onh8sBQRmU6k8=",
               "optional": true
             },
             "gauge": {
@@ -16457,12 +16473,14 @@
             },
             "has-unicode": {
               "version": "2.0.1",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/has-unicode/-/has-unicode-2.0.1.tgz",
+              "integrity": "sha1-4Ob+aijPUROIVeCG0Wkedx3iqLk=",
               "optional": true
             },
             "iconv-lite": {
               "version": "0.4.24",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/iconv-lite/-/iconv-lite-0.4.24.tgz",
+              "integrity": "sha512-v3MXnZAcvnywkTUEZomIActle7RXXeedOR31wwl7VlyoXO4Qi9arvSenNQWne1TcRwhCL1HwLI21bEqdpj8/rA==",
               "optional": true,
               "requires": {
                 "safer-buffer": ">= 2.1.2 < 3"
@@ -16470,7 +16488,8 @@
             },
             "ignore-walk": {
               "version": "3.0.3",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/ignore-walk/-/ignore-walk-3.0.3.tgz",
+              "integrity": "sha512-m7o6xuOaT1aqheYHKf8W6J5pYH85ZI9w077erOzLje3JsB1gkafkAhHHY19dqjulgIZHFm32Cp5uNZgcQqdJKw==",
               "optional": true,
               "requires": {
                 "minimatch": "^3.0.4"
@@ -16488,17 +16507,20 @@
             },
             "inherits": {
               "version": "2.0.4",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/inherits/-/inherits-2.0.4.tgz",
+              "integrity": "sha512-k/vGaX4/Yla3WzyMCvTQOXYeIHvqOKtnqBduzTHpzpQZzAskKMhZ2K+EnBiSM9zGSoIFeMpXKxa4dYeZIQqewQ==",
               "optional": true
             },
             "ini": {
               "version": "1.3.5",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/ini/-/ini-1.3.5.tgz",
+              "integrity": "sha512-RZY5huIKCMRWDUqZlEi72f/lmXKMvuszcMBduliQ3nnWbx9X/ZBQO7DijMEYS9EhHBb2qacRUMtC7svLwe0lcw==",
               "optional": true
             },
             "is-fullwidth-code-point": {
               "version": "1.0.0",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/is-fullwidth-code-point/-/is-fullwidth-code-point-1.0.0.tgz",
+              "integrity": "sha1-754xOG8DGn8NZDr4L95QxFfvAMs=",
               "optional": true,
               "requires": {
                 "number-is-nan": "^1.0.0"
@@ -16506,12 +16528,14 @@
             },
             "isarray": {
               "version": "1.0.0",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/isarray/-/isarray-1.0.0.tgz",
+              "integrity": "sha1-u5NdSFgsuhaMBoNJV6VKPgcSTxE=",
               "optional": true
             },
             "minimatch": {
               "version": "3.0.4",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-3.0.4.tgz",
+              "integrity": "sha512-yJHVQEhyqPLUTgt9B83PXu6W3rx4MvvHvSUvToogpwoGDOUQ+yDrR0HRot+yOCdCO7u4hX3pWft6kWBBcqh0UA==",
               "optional": true,
               "requires": {
                 "brace-expansion": "^1.1.7"
@@ -16519,7 +16543,8 @@
             },
             "minimist": {
               "version": "1.2.5",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/minimist/-/minimist-1.2.5.tgz",
+              "integrity": "sha512-FM9nNUYrRBAELZQT3xeZQ7fmMOBg6nWNmJKTcgsJeaLstP/UODVpGsr5OhXhhXg6f+qtJ8uiZ+PUxkDWcgIXLw==",
               "optional": true
             },
             "minipass": {
@@ -16543,7 +16568,8 @@
             },
             "mkdirp": {
               "version": "0.5.3",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/mkdirp/-/mkdirp-0.5.3.tgz",
+              "integrity": "sha512-P+2gwrFqx8lhew375MQHHeTlY8AuOJSrGf0R5ddkEndUkmwpgUob/vQuBD1V22/Cw1/lJr4x+EjllSezBThzBg==",
               "optional": true,
               "requires": {
                 "minimist": "^1.2.5"
@@ -16551,12 +16577,14 @@
             },
             "ms": {
               "version": "2.1.2",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/ms/-/ms-2.1.2.tgz",
+              "integrity": "sha512-sGkPx+VjMtmA6MX27oA4FBFELFCZZ4S4XqeGOXCv68tT+jb3vk/RyaKWP0PTKyWtmLSM0b+adUTEvbs1PEaH2w==",
               "optional": true
             },
             "needle": {
               "version": "2.3.3",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/needle/-/needle-2.3.3.tgz",
+              "integrity": "sha512-EkY0GeSq87rWp1hoq/sH/wnTWgFVhYlnIkbJ0YJFfRgEFlz2RraCjBpFQ+vrEgEdp0ThfyHADmkChEhcb7PKyw==",
               "optional": true,
               "requires": {
                 "debug": "^3.2.6",
@@ -16584,7 +16612,8 @@
             },
             "nopt": {
               "version": "4.0.3",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/nopt/-/nopt-4.0.3.tgz",
+              "integrity": "sha512-CvaGwVMztSMJLOeXPrez7fyfObdZqNUK1cPAEzLHrTybIua9pMdmmPR5YwtfNftIOMv3DPUhFaxsZMNTQO20Kg==",
               "optional": true,
               "requires": {
                 "abbrev": "1",
@@ -16593,7 +16622,8 @@
             },
             "npm-bundled": {
               "version": "1.1.1",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/npm-bundled/-/npm-bundled-1.1.1.tgz",
+              "integrity": "sha512-gqkfgGePhTpAEgUsGEgcq1rqPXA+tv/aVBlgEzfXwA1yiUJF7xtEt3CtVwOjNYQOVknDk0F20w58Fnm3EtG0fA==",
               "optional": true,
               "requires": {
                 "npm-normalize-package-bin": "^1.0.1"
@@ -16601,12 +16631,14 @@
             },
             "npm-normalize-package-bin": {
               "version": "1.0.1",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/npm-normalize-package-bin/-/npm-normalize-package-bin-1.0.1.tgz",
+              "integrity": "sha512-EPfafl6JL5/rU+ot6P3gRSCpPDW5VmIzX959Ob1+ySFUuuYHWHekXpwdUZcKP5C+DS4GEtdJluwBjnsNDl+fSA==",
               "optional": true
             },
             "npm-packlist": {
               "version": "1.4.8",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/npm-packlist/-/npm-packlist-1.4.8.tgz",
+              "integrity": "sha512-5+AZgwru5IevF5ZdnFglB5wNlHG1AOOuw28WhUq8/8emhBmLv6jX5by4WJCh7lW0uSYZYS6DXqIsyZVIXRZU9A==",
               "optional": true,
               "requires": {
                 "ignore-walk": "^3.0.1",
@@ -16628,12 +16660,14 @@
             },
             "number-is-nan": {
               "version": "1.0.1",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/number-is-nan/-/number-is-nan-1.0.1.tgz",
+              "integrity": "sha1-CXtgK1NCKlIsGvuHkDGDNpQaAR0=",
               "optional": true
             },
             "object-assign": {
               "version": "4.1.1",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/object-assign/-/object-assign-4.1.1.tgz",
+              "integrity": "sha1-IQmtx5ZYh8/AXLvUQsrIv7s2CGM=",
               "optional": true
             },
             "once": {
@@ -16647,17 +16681,20 @@
             },
             "os-homedir": {
               "version": "1.0.2",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/os-homedir/-/os-homedir-1.0.2.tgz",
+              "integrity": "sha1-/7xJiDNuDoM94MFox+8VISGqf7M=",
               "optional": true
             },
             "os-tmpdir": {
               "version": "1.0.2",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/os-tmpdir/-/os-tmpdir-1.0.2.tgz",
+              "integrity": "sha1-u+Z0BseaqFxc/sdm/lc0VV36EnQ=",
               "optional": true
             },
             "osenv": {
               "version": "0.1.5",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/osenv/-/osenv-0.1.5.tgz",
+              "integrity": "sha512-0CWcCECdMVc2Rw3U5w9ZjqX6ga6ubk1xDVKxtBQPK7wis/0F2r9T6k4ydGYhecl7YUBxBVxhL5oisPsNxAPe2g==",
               "optional": true,
               "requires": {
                 "os-homedir": "^1.0.0",
@@ -16666,17 +16703,20 @@
             },
             "path-is-absolute": {
               "version": "1.0.1",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/path-is-absolute/-/path-is-absolute-1.0.1.tgz",
+              "integrity": "sha1-F0uSaHNVNP+8es5r9TpanhtcX18=",
               "optional": true
             },
             "process-nextick-args": {
               "version": "2.0.1",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/process-nextick-args/-/process-nextick-args-2.0.1.tgz",
+              "integrity": "sha512-3ouUOpQhtgrbOa17J7+uxOTpITYWaGP7/AhoR3+A+/1e9skrzelGi/dXzEYyvbxubEF6Wn2ypscTKiKJFFn1ag==",
               "optional": true
             },
             "rc": {
               "version": "1.2.8",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/rc/-/rc-1.2.8.tgz",
+              "integrity": "sha512-y3bGgqKj3QBdxLbLkomlohkvsA8gdAiUQlSBJnBhfn+BPxg4bc62d8TcBW15wavDfgexCgccckhcZvywyQYPOw==",
               "optional": true,
               "requires": {
                 "deep-extend": "^0.6.0",
@@ -16687,7 +16727,8 @@
             },
             "readable-stream": {
               "version": "2.3.7",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/readable-stream/-/readable-stream-2.3.7.tgz",
+              "integrity": "sha512-Ebho8K4jIbHAxnuxi7o42OrZgF/ZTNcsZj6nRKyUmkhLFq8CHItp/fy6hQZuZmP/n3yZ9VBUbp4zz/mX8hmYPw==",
               "optional": true,
               "requires": {
                 "core-util-is": "~1.0.0",
@@ -16710,37 +16751,44 @@
             },
             "safe-buffer": {
               "version": "5.1.2",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.1.2.tgz",
+              "integrity": "sha512-Gd2UZBJDkXlY7GbJxfsE8/nvKkUEU1G38c1siN6QP6a9PT9MmHB8GnpscSmMJSoF8LOIrt8ud/wPtojys4G6+g==",
               "optional": true
             },
             "safer-buffer": {
               "version": "2.1.2",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/safer-buffer/-/safer-buffer-2.1.2.tgz",
+              "integrity": "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg==",
               "optional": true
             },
             "sax": {
               "version": "1.2.4",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/sax/-/sax-1.2.4.tgz",
+              "integrity": "sha512-NqVDv9TpANUjFm0N8uM5GxL36UgKi9/atZw+x7YFnQ8ckwFGKrl4xX4yWtrey3UJm5nP1kUbnYgLopqWNSRhWw==",
               "optional": true
             },
             "semver": {
               "version": "5.7.1",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/semver/-/semver-5.7.1.tgz",
+              "integrity": "sha512-sauaDf/PZdVgrLTNYHRtpXa1iRiKcaebiKQ1BJdpQlWH2lCvexQdX55snPFyK7QzpudqbCI0qXFfOasHdyNDGQ==",
               "optional": true
             },
             "set-blocking": {
               "version": "2.0.0",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/set-blocking/-/set-blocking-2.0.0.tgz",
+              "integrity": "sha1-BF+XgtARrppoA93TgrJDkrPYkPc=",
               "optional": true
             },
             "signal-exit": {
               "version": "3.0.2",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/signal-exit/-/signal-exit-3.0.2.tgz",
+              "integrity": "sha1-tf3AjxKH6hF4Yo5BXiUTK3NkbG0=",
               "optional": true
             },
             "string-width": {
               "version": "1.0.2",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/string-width/-/string-width-1.0.2.tgz",
+              "integrity": "sha1-EYvfW4zcUaKn5w0hHgfisLmxB9M=",
               "optional": true,
               "requires": {
                 "code-point-at": "^1.0.0",
@@ -16750,7 +16798,8 @@
             },
             "string_decoder": {
               "version": "1.1.1",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/string_decoder/-/string_decoder-1.1.1.tgz",
+              "integrity": "sha512-n/ShnvDi6FHbbVfviro+WojiFzv+s8MPMHBczVePfUpDJLwoLT0ht1l4YwBCbi8pJAveEEdnkHyPyTP/mzRfwg==",
               "optional": true,
               "requires": {
                 "safe-buffer": "~5.1.0"
@@ -16758,7 +16807,8 @@
             },
             "strip-ansi": {
               "version": "3.0.1",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-3.0.1.tgz",
+              "integrity": "sha1-ajhfuIU9lS1f8F0Oiq+UJ43GPc8=",
               "optional": true,
               "requires": {
                 "ansi-regex": "^2.0.0"
@@ -16766,7 +16816,8 @@
             },
             "strip-json-comments": {
               "version": "2.0.1",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/strip-json-comments/-/strip-json-comments-2.0.1.tgz",
+              "integrity": "sha1-PFMZQukIwml8DsNEhYwobHygpgo=",
               "optional": true
             },
             "tar": {
@@ -16786,12 +16837,14 @@
             },
             "util-deprecate": {
               "version": "1.0.2",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
+              "integrity": "sha1-RQ1Nyfpw3nMnYvvS1KKJgUGaDM8=",
               "optional": true
             },
             "wide-align": {
               "version": "1.1.3",
-              "resolved": false,
+              "resolved": "https://registry.npmjs.org/wide-align/-/wide-align-1.1.3.tgz",
+              "integrity": "sha512-QGkOQc8XL6Bt5PwnsExKBPuMKBxnGxWWW3fU55Xt4feHozMUhdUMaBCk290qpm/wG5u/RSKzwdAC4i51YigihA==",
               "optional": true,
               "requires": {
                 "string-width": "^1.0.2 || 2"
diff --git a/cvat-ui/package.json b/cvat-ui/package.json
index 6608aa56dca..9a038b6496d 100644
--- a/cvat-ui/package.json
+++ b/cvat-ui/package.json
@@ -1,6 +1,6 @@
 {
   "name": "cvat-ui",
-  "version": "1.0.0",
+  "version": "1.0.1",
   "description": "CVAT single-page application",
   "main": "src/index.tsx",
   "scripts": {
diff --git a/cvat-ui/src/actions/formats-actions.ts b/cvat-ui/src/actions/formats-actions.ts
index d8e5a6568d0..0644d26b8c0 100644
--- a/cvat-ui/src/actions/formats-actions.ts
+++ b/cvat-ui/src/actions/formats-actions.ts
@@ -15,10 +15,9 @@ export enum FormatsActionTypes {
 
 const formatsActions = {
     getFormats: () => createAction(FormatsActionTypes.GET_FORMATS),
-    getFormatsSuccess: (annotationFormats: any[], datasetFormats: any[]) => (
+    getFormatsSuccess: (annotationFormats: any) => (
         createAction(FormatsActionTypes.GET_FORMATS_SUCCESS, {
             annotationFormats,
-            datasetFormats,
         })
     ),
     getFormatsFailed: (error: any) => (
@@ -32,14 +31,12 @@ export function getFormatsAsync(): ThunkAction {
     return async (dispatch): Promise<void> => {
         dispatch(formatsActions.getFormats());
         let annotationFormats = null;
-        let datasetFormats = null;
 
         try {
             annotationFormats = await cvat.server.formats();
-            datasetFormats = await cvat.server.datasetFormats();
 
             dispatch(
-                formatsActions.getFormatsSuccess(annotationFormats, datasetFormats),
+                formatsActions.getFormatsSuccess(annotationFormats),
             );
         } catch (error) {
             dispatch(formatsActions.getFormatsFailed(error));
diff --git a/cvat-ui/src/actions/tasks-actions.ts b/cvat-ui/src/actions/tasks-actions.ts
index 7291ffa8de6..fd1bfbc48ff 100644
--- a/cvat-ui/src/actions/tasks-actions.ts
+++ b/cvat-ui/src/actions/tasks-actions.ts
@@ -169,7 +169,7 @@ ThunkAction<Promise<void>, {}, {}, AnyAction> {
     return async (dispatch: ActionCreator<Dispatch>): Promise<void> => {
         try {
             dispatch(dumpAnnotation(task, dumper));
-            const url = await task.annotations.dump(task.name, dumper);
+            const url = await task.annotations.dump(dumper);
             const downloadAnchor = (window.document.getElementById('downloadAnchor') as HTMLAnchorElement);
             downloadAnchor.href = url;
             downloadAnchor.click();
@@ -280,7 +280,7 @@ ThunkAction<Promise<void>, {}, {}, AnyAction> {
         dispatch(exportDataset(task, exporter));
 
         try {
-            const url = await task.annotations.exportDataset(exporter.tag);
+            const url = await task.annotations.exportDataset(exporter.name);
             const downloadAnchor = (window.document.getElementById('downloadAnchor') as HTMLAnchorElement);
             downloadAnchor.href = url;
             downloadAnchor.click();
diff --git a/cvat-ui/src/components/actions-menu/actions-menu.tsx b/cvat-ui/src/components/actions-menu/actions-menu.tsx
index 31845d48d56..7d4f305bd50 100644
--- a/cvat-ui/src/components/actions-menu/actions-menu.tsx
+++ b/cvat-ui/src/components/actions-menu/actions-menu.tsx
@@ -18,7 +18,6 @@ interface Props {
 
     loaders: string[];
     dumpers: string[];
-    exporters: string[];
     loadActivity: string | null;
     dumpActivities: string[] | null;
     exportActivities: string[] | null;
@@ -53,7 +52,6 @@ export default function ActionsMenuComponent(props: Props): JSX.Element {
 
         dumpers,
         loaders,
-        exporters,
         onClickMenu,
         dumpActivities,
         exportActivities,
@@ -133,7 +131,7 @@ export default function ActionsMenuComponent(props: Props): JSX.Element {
             }
             {
                 ExportSubmenu({
-                    exporters,
+                    exporters: dumpers,
                     exportActivities,
                     menuKey: Actions.EXPORT_TASK_DATASET,
                 })
diff --git a/cvat-ui/src/components/actions-menu/dump-submenu.tsx b/cvat-ui/src/components/actions-menu/dump-submenu.tsx
index d443e192e26..23a6ab6c147 100644
--- a/cvat-ui/src/components/actions-menu/dump-submenu.tsx
+++ b/cvat-ui/src/components/actions-menu/dump-submenu.tsx
@@ -8,8 +8,8 @@ import Icon from 'antd/lib/icon';
 import Text from 'antd/lib/typography/Text';
 
 function isDefaultFormat(dumperName: string, taskMode: string): boolean {
-    return (dumperName === 'CVAT XML 1.1 for videos' && taskMode === 'interpolation')
-    || (dumperName === 'CVAT XML 1.1 for images' && taskMode === 'annotation');
+    return (dumperName === 'CVAT for video 1.1' && taskMode === 'interpolation')
+    || (dumperName === 'CVAT for images 1.1' && taskMode === 'annotation');
 }
 
 interface Props {
diff --git a/cvat-ui/src/components/annotation-page/top-bar/annotation-menu.tsx b/cvat-ui/src/components/annotation-page/top-bar/annotation-menu.tsx
index 3fb1c192722..7039abff7fc 100644
--- a/cvat-ui/src/components/annotation-page/top-bar/annotation-menu.tsx
+++ b/cvat-ui/src/components/annotation-page/top-bar/annotation-menu.tsx
@@ -15,7 +15,6 @@ interface Props {
     taskMode: string;
     loaders: string[];
     dumpers: string[];
-    exporters: string[];
     loadActivity: string | null;
     dumpActivities: string[] | null;
     exportActivities: string[] | null;
@@ -36,7 +35,6 @@ export default function AnnotationMenuComponent(props: Props): JSX.Element {
         taskMode,
         loaders,
         dumpers,
-        exporters,
         onClickMenu,
         loadActivity,
         dumpActivities,
@@ -111,7 +109,7 @@ export default function AnnotationMenuComponent(props: Props): JSX.Element {
             }
             {
                 ExportSubmenu({
-                    exporters,
+                    exporters: dumpers,
                     exportActivities,
                     menuKey: Actions.EXPORT_TASK_DATASET,
                 })
diff --git a/cvat-ui/src/containers/actions-menu/actions-menu.tsx b/cvat-ui/src/containers/actions-menu/actions-menu.tsx
index 77b1c6cd52b..c502eece148 100644
--- a/cvat-ui/src/containers/actions-menu/actions-menu.tsx
+++ b/cvat-ui/src/containers/actions-menu/actions-menu.tsx
@@ -24,8 +24,7 @@ interface OwnProps {
 }
 
 interface StateToProps {
-    annotationFormats: any[];
-    exporters: any[];
+    annotationFormats: any;
     loadActivity: string | null;
     dumpActivities: string[] | null;
     exportActivities: string[] | null;
@@ -53,7 +52,6 @@ function mapStateToProps(state: CombinedState, own: OwnProps): StateToProps {
     const {
         formats: {
             annotationFormats,
-            datasetFormats,
         },
         plugins: {
             list: {
@@ -79,7 +77,6 @@ function mapStateToProps(state: CombinedState, own: OwnProps): StateToProps {
         exportActivities: tid in activeExports ? activeExports[tid] : null,
         loadActivity: tid in loads ? loads[tid] : null,
         annotationFormats,
-        exporters: datasetFormats,
         inferenceIsActive: tid in state.models.inferences,
     };
 }
@@ -107,8 +104,10 @@ function mapDispatchToProps(dispatch: any): DispatchToProps {
 function ActionsMenuContainer(props: OwnProps & StateToProps & DispatchToProps): JSX.Element {
     const {
         taskInstance,
-        annotationFormats,
-        exporters,
+        annotationFormats: {
+            loaders,
+            dumpers,
+        },
         loadActivity,
         dumpActivities,
         exportActivities,
@@ -124,13 +123,6 @@ function ActionsMenuContainer(props: OwnProps & StateToProps & DispatchToProps):
         openRunModelWindow,
     } = props;
 
-
-    const loaders = annotationFormats
-        .map((format: any): any[] => format.loaders).flat();
-
-    const dumpers = annotationFormats
-        .map((format: any): any[] => format.dumpers).flat();
-
     function onClickMenu(params: ClickParam, file?: File): void {
         if (params.keyPath.length > 1) {
             const [additionalKey, action] = params.keyPath;
@@ -150,7 +142,7 @@ function ActionsMenuContainer(props: OwnProps & StateToProps & DispatchToProps):
                 }
             } else if (action === Actions.EXPORT_TASK_DATASET) {
                 const format = additionalKey;
-                const [exporter] = exporters
+                const [exporter] = dumpers
                     .filter((_exporter: any): boolean => _exporter.name === format);
                 if (exporter) {
                     exportDataset(taskInstance, exporter);
@@ -176,7 +168,6 @@ function ActionsMenuContainer(props: OwnProps & StateToProps & DispatchToProps):
             bugTracker={taskInstance.bugTracker}
             loaders={loaders.map((loader: any): string => `${loader.name}::${loader.format}`)}
             dumpers={dumpers.map((dumper: any): string => dumper.name)}
-            exporters={exporters.map((exporter: any): string => exporter.name)}
             loadActivity={loadActivity}
             dumpActivities={dumpActivities}
             exportActivities={exportActivities}
diff --git a/cvat-ui/src/containers/annotation-page/top-bar/annotation-menu.tsx b/cvat-ui/src/containers/annotation-page/top-bar/annotation-menu.tsx
index 8c73137d46f..20648a2b023 100644
--- a/cvat-ui/src/containers/annotation-page/top-bar/annotation-menu.tsx
+++ b/cvat-ui/src/containers/annotation-page/top-bar/annotation-menu.tsx
@@ -21,8 +21,7 @@ import {
 } from 'actions/annotation-actions';
 
 interface StateToProps {
-    annotationFormats: any[];
-    exporters: any[];
+    annotationFormats: any;
     jobInstance: any;
     loadActivity: string | null;
     dumpActivities: string[] | null;
@@ -49,7 +48,6 @@ function mapStateToProps(state: CombinedState): StateToProps {
         },
         formats: {
             annotationFormats,
-            datasetFormats: exporters,
         },
         tasks: {
             activities: {
@@ -73,7 +71,6 @@ function mapStateToProps(state: CombinedState): StateToProps {
             ? loads[taskID] || jobLoads[jobID] : null,
         jobInstance,
         annotationFormats,
-        exporters,
         installedReID: list.REID,
     };
 }
@@ -100,8 +97,10 @@ type Props = StateToProps & DispatchToProps & RouteComponentProps;
 function AnnotationMenuContainer(props: Props): JSX.Element {
     const {
         jobInstance,
-        annotationFormats,
-        exporters,
+        annotationFormats: {
+            loaders,
+            dumpers,
+        },
         loadAnnotations,
         dumpAnnotations,
         exportDataset,
@@ -113,12 +112,6 @@ function AnnotationMenuContainer(props: Props): JSX.Element {
         installedReID,
     } = props;
 
-    const loaders = annotationFormats
-        .map((format: any): any[] => format.loaders).flat();
-
-    const dumpers = annotationFormats
-        .map((format: any): any[] => format.dumpers).flat();
-
     const onClickMenu = (params: ClickParam, file?: File): void => {
         if (params.keyPath.length > 1) {
             const [additionalKey, action] = params.keyPath;
@@ -138,7 +131,7 @@ function AnnotationMenuContainer(props: Props): JSX.Element {
                 }
             } else if (action === Actions.EXPORT_TASK_DATASET) {
                 const format = additionalKey;
-                const [exporter] = exporters
+                const [exporter] = dumpers
                     .filter((_exporter: any): boolean => _exporter.name === format);
                 if (exporter) {
                     exportDataset(jobInstance.task, exporter);
@@ -159,7 +152,6 @@ function AnnotationMenuContainer(props: Props): JSX.Element {
             taskMode={jobInstance.task.mode}
             loaders={loaders.map((loader: any): string => loader.name)}
             dumpers={dumpers.map((dumper: any): string => dumper.name)}
-            exporters={exporters.map((exporter: any): string => exporter.name)}
             loadActivity={loadActivity}
             dumpActivities={dumpActivities}
             exportActivities={exportActivities}
diff --git a/cvat-ui/src/reducers/formats-reducer.ts b/cvat-ui/src/reducers/formats-reducer.ts
index f807b809966..3429fc2fa75 100644
--- a/cvat-ui/src/reducers/formats-reducer.ts
+++ b/cvat-ui/src/reducers/formats-reducer.ts
@@ -9,8 +9,7 @@ import { AuthActionTypes, AuthActions } from 'actions/auth-actions';
 import { FormatsState } from './interfaces';
 
 const defaultState: FormatsState = {
-    annotationFormats: [],
-    datasetFormats: [],
+    annotationFormats: null,
     initialized: false,
     fetching: false,
 };
@@ -33,7 +32,6 @@ export default (
                 initialized: true,
                 fetching: false,
                 annotationFormats: action.payload.annotationFormats,
-                datasetFormats: action.payload.datasetFormats,
             };
         case FormatsActionTypes.GET_FORMATS_FAILED:
             return {
diff --git a/cvat-ui/src/reducers/interfaces.ts b/cvat-ui/src/reducers/interfaces.ts
index 63d46154c9e..dad3cdb8f46 100644
--- a/cvat-ui/src/reducers/interfaces.ts
+++ b/cvat-ui/src/reducers/interfaces.ts
@@ -63,8 +63,7 @@ export interface TasksState {
 }
 
 export interface FormatsState {
-    annotationFormats: any[];
-    datasetFormats: any[];
+    annotationFormats: any;
     fetching: boolean;
     initialized: boolean;
 }
diff --git a/cvat/apps/annotation/README.md b/cvat/apps/annotation/README.md
deleted file mode 100644
index 101a28ac2f2..00000000000
--- a/cvat/apps/annotation/README.md
+++ /dev/null
@@ -1,628 +0,0 @@
-<!--lint disable list-item-indent-->
-<!--lint disable no-duplicate-headings-->
-## Description
-
-The purpose of this application is to add support for multiple annotation formats for CVAT.
-It allows to download and upload annotations in different formats and easily add support for new.
-
-## How to add a new annotation format support
-
-1.  Write a python script that will be executed via exec() function. Following items must be defined inside at code:
-    - **format_spec** - a dictionary with the following structure:
-      ```python
-      format_spec = {
-        "name": "CVAT",
-        "dumpers": [
-            {
-                "display_name": "{name} {format} {version} for videos",
-                "format": "XML",
-                "version": "1.1",
-                "handler": "dump_as_cvat_interpolation"
-            },
-            {
-                "display_name": "{name} {format} {version} for images",
-                "format": "XML",
-                "version": "1.1",
-                "handler": "dump_as_cvat_annotation"
-            }
-        ],
-        "loaders": [
-            {
-                "display_name": "{name} {format} {version}",
-                "format": "XML",
-                "version": "1.1",
-                "handler": "load",
-            }
-        ],
-      }
-      ```
-      - **name** - unique name for each format
-      - **dumpers and loaders** - lists of objects that describes exposed dumpers and loaders and must
-        have following keys:
-        1. display_name - **unique** string used as ID for dumpers and loaders.
-           Also this string is displayed in CVAT UI.
-           Possible to use a named placeholders like the python format function
-           (supports only name, format and version variables).
-        1. format - a string, used as extension for a dumped annotation.
-        1. version - just string with version.
-        1. handler - function that will be called and should be defined at top scope.
-    - dumper/loader handler functions. Each function should have the following signature:
-      ```python
-      def dump_handler(file_object, annotations):
-      ```
-
-    Inside of the script environment 2 variables are available:
-    - **file_object** - python's standard file object returned by open() function and exposing a file-oriented API
-    (with methods such as read() or write()) to an underlying resource.
-    - **annotations** - instance of [Annotation](annotation.py#L106) class.
-
-    Annotation class expose API and some additional pre-defined types that allow to get/add shapes inside
-    a loader/dumper code.
-
-    Short description of the public methods:
-    - **Annotation.shapes** - property, returns a generator of Annotation.LabeledShape objects
-    - **Annotation.tracks** - property, returns a generator of Annotation.Track objects
-    - **Annotation.tags** - property, returns a generator of Annotation.Tag objects
-    - **Annotation.group_by_frame()** - method, returns an iterator on Annotation.Frame object,
-      which groups annotation objects by frame. Note that TrackedShapes will be represented as Annotation.LabeledShape.
-    - **Annotation.meta** - property, returns dictionary which represent a task meta information,
-      for example - video source name, number of frames, number of jobs, etc
-    - **Annotation.add_tag(tag)** - tag should be a instance of the Annotation.Tag class
-    - **Annotation.add_shape(shape)** - shape should be a instance of the Annotation.Shape class
-    - **Annotation.add_track(track)** - track should be a instance of the Annotation.Track class
-    - **Annotation.Attribute** = namedtuple('Attribute', 'name, value')
-      - name - String, name of the attribute
-      - value - String, value of the attribute
-    - **Annotation.LabeledShape** = namedtuple('LabeledShape', 'type, frame, label, points, occluded, attributes,
-      group, z_order')
-      LabeledShape.\__new\__.\__defaults\__ = (0, None)
-    - **TrackedShape** = namedtuple('TrackedShape', 'type, points, occluded, frame, attributes, outside,
-      keyframe, z_order')
-      TrackedShape.\__new\__.\__defaults\__ = (None, )
-    - **Track** = namedtuple('Track', 'label, group, shapes')
-    - **Tag** = namedtuple('Tag', 'frame, label, attributes, group')
-      Tag.\__new\__.\__defaults\__ = (0, )
-    - **Frame** = namedtuple('Frame', 'frame, name, width, height, labeled_shapes, tags')
-
-    Pseudocode for a dumper script
-    ```python
-    ...
-    # dump meta info if necessary
-    ...
-
-    # iterate over all frames
-    for frame_annotation in annotations.group_by_frame():
-        # get frame info
-        image_name = frame_annotation.name
-        image_width = frame_annotation.width
-        image_height = frame_annotation.height
-
-        # iterate over all shapes on the frame
-        for shape in frame_annotation.labeled_shapes:
-            label = shape.label
-            xtl = shape.points[0]
-            ytl = shape.points[1]
-            xbr = shape.points[2]
-            ybr = shape.points[3]
-
-            # iterate over shape attributes
-            for attr in shape.attributes:
-                attr_name = attr.name
-                attr_value = attr.value
-    ...
-    # dump annotation code
-    file_object.write(...)
-    ...
-    ```
-    Pseudocode for a loader code
-    ```python
-    ...
-    #read file_object
-    ...
-
-    for parsed_shape in parsed_shapes:
-        shape = annotations.LabeledShape(
-            type="rectangle",
-            points=[0, 0, 100, 100],
-            occluded=False,
-            attributes=[],
-            label="car",
-            outside=False,
-            frame=99,
-        )
-
-        annotations.add_shape(shape)
-    ```
-    Full examples can be found in corrseponding *.py files (cvat.py, coco.py, yolo.py, etc.).
-1.  Add path to a new python script to the annotation app settings:
-
-    ```python
-    BUILTIN_FORMATS = (
-      os.path.join(path_prefix, 'cvat.py'),
-      os.path.join(path_prefix,'pascal_voc.py'),
-    )
-    ```
-
-## Ideas for improvements
-
-- Annotation format manager like DL Model manager with which the user can add custom format support by
-  writing dumper/loader scripts.
-- Often a custom loader/dumper requires additional python packages and it would be useful if CVAT provided some API
-  that allows the user to install a python dependencies from their own code without changing the source code.
-  Possible solutions: install additional modules via pip call to a separate directory for each Annotation Format
-  to reduce version conflicts, etc. Thus, custom code can be run in an extended environment, and core CVAT modules
-  should not be affected. As well, this functionality can be useful for Auto Annotation module.
-
-## Format specifications
-
-### CVAT
-This is native CVAT annotation format.
-[Detailed format description](cvat/apps/documentation/xml_format.md)
-
-#### CVAT XML for images dumper
-- downloaded file: Single unpacked XML
-- supported shapes - Rectangles, Polygons, Polylines, Points
-
-#### CVAT XML for videos dumper
-- downloaded file: Single unpacked XML
-- supported shapes - Rectangles, Polygons, Polylines, Points
-
-#### CVAT XML Loader
-- uploaded file: Single unpacked XML
-- supported shapes - Rectangles, Polygons, Polylines, Points
-
-### [Pascal VOC](http://host.robots.ox.ac.uk/pascal/VOC/)
-- [Format specification](http://host.robots.ox.ac.uk/pascal/VOC/voc2012/devkit_doc.pdf)
-
-#### Pascal dumper description
-- downloaded file: a zip archive of the following structure:
-  ```bash
-  taskname.zip/
-  ├── Annotations/
-  │   ├── <image_name1>.xml
-  │   ├── <image_name2>.xml
-  │   └── <image_nameN>.xml
-  ├── ImageSets/
-  │   └── Main/
-  │       └── default.txt
-  └── labelmap.txt
-  ```
-
-- supported shapes: Rectangles
-- additional comments: If you plan to use `truncated` and `difficult` attributes please add the corresponding
-  items to the CVAT label attributes:
-  `~checkbox=difficult:false ~checkbox=truncated:false`
-
-#### Pascal loader description
-- uploaded file: a zip archive of the structure declared above or the following:
-  ```bash
-  taskname.zip/
-  ├── <image_name1>.xml
-  ├── <image_name2>.xml
-  ├── <image_nameN>.xml
-  └── labelmap.txt # optional
-  ```
-
-  The `labelmap.txt` file contains dataset labels. It **must** be included
-  if dataset labels **differ** from VOC default labels. The file structure:
-  ```bash
-  # label : color_rgb : 'body' parts : actions
-  background:::
-  aeroplane:::
-  bicycle:::
-  bird:::
-  ```
-
-  It must be possible for CVAT to match the frame (image name) and file name from annotation \*.xml
-  file (the tag filename, e.g. `<filename>2008_004457.jpg</filename>`). There are 2 options:
-  1. full match between image name and filename from annotation \*.xml
-      (in cases when task was created from images or image archive).
-  1. match by frame number (if CVAT cannot match by name). File name should
-      be in the following format `<number>.jpg`.
-      It should be used when task was created from a video.
-
-- supported shapes: Rectangles
-- limitations: Support of Pascal VOC object detection format
-- additional comments: the CVAT task should be created with the full label set that may be in the annotation files
-
-#### How to create a task from Pascal VOC dataset
-1.  Download the Pascal Voc dataset (Can be downloaded from the
-    [PASCAL VOC website](http://host.robots.ox.ac.uk/pascal/VOC/))
-1.  Create a CVAT task with the following labels:
-    ```bash
-    aeroplane bicycle bird boat bottle bus car cat chair cow diningtable dog horse motorbike person pottedplant sheep sofa train tvmonitor
-    ```
-    You can add `~checkbox=difficult:false ~checkbox=truncated:false` attributes for each label if you want to use them.
-
-    Select interesting image files
-    (See [Creating an annotation task](cvat/apps/documentation/user_guide.md#creating-an-annotation-task)
-    guide for details)
-1.  zip the corresponding annotation files
-1.  click `Upload annotation` button, choose `Pascal VOC ZIP 1.1`
-and select the *.zip file with annotations from previous step.
-It may take some time.
-
-### [YOLO](https://pjreddie.com/darknet/yolo/)
-#### Yolo dumper description
-- downloaded file: a zip archive with following structure:
-  [Format specification](https://github.com/AlexeyAB/darknet#how-to-train-to-detect-your-custom-objects)
-  ```bash
-  archive.zip/
-  ├── obj.data
-  ├── obj.names
-  ├── obj_<subset>_data
-  │   ├── image1.txt
-  │   └── image2.txt
-  └── train.txt # list of subset image paths
-
-  # the only valid subsets are: train, valid
-  # train.txt and valid.txt:
-  obj_<subset>_data/image1.jpg
-  obj_<subset>_data/image2.jpg
-
-  # obj.data:
-  classes = 3 # optional
-  names = obj.names
-  train = train.txt
-  valid = valid.txt # optional
-  backup = backup/ # optional
-
-  # obj.names:
-  cat
-  dog
-  airplane
-
-  # image_name.txt:
-  # label_id - id from obj.names
-  # cx, cy - relative coordinates of the bbox center
-  # rw, rh - relative size of the bbox
-  # label_id cx cy rw rh
-  1 0.3 0.8 0.1 0.3
-  2 0.7 0.2 0.3 0.1
-  ```
-  Each annotation `*.txt` file has a name that corresponds to the name of the image file
-  (e.g. `frame_000001.txt` is the annotation for the `frame_000001.jpg` image).
-  The `*.txt` file structure: each line describes label and bounding box
-  in the following format `label_id cx cy w h`.
-  `obj.names` contains the ordered list of label names.
-- supported shapes - Rectangles
-
-#### Yolo loader description
--   uploaded file: a zip archive of the same structure as above
-    It must be possible to match the CVAT frame (image name) and annotation file name
-    There are 2 options:
-    1. full match between image name and name of annotation `*.txt` file
-       (in cases when a task was created from images or archive of images).
-    1. match by frame number (if CVAT cannot match by name). File name should be in the following format `<number>.jpg`.
-       It should be used when task was created from a video.
-
--   supported shapes: Rectangles
--   additional comments: the CVAT task should be created with the full label set that may be in the annotation files
-
-#### How to create a task from YOLO formatted dataset (from VOC for example)
-1. Follow the official [guide](https://pjreddie.com/darknet/yolo/)(see Training YOLO on VOC section)
-   and prepare the YOLO formatted annotation files.
-1. Zip train images
-   ```bash
-   zip images.zip -j -@ < train.txt
-   ```
-1. Create a CVAT task with the following labels:
-   ```bash
-   aeroplane bicycle bird boat bottle bus car cat chair cow diningtable dog horse motorbike person pottedplant sheep sofa train tvmonitor
-   ```
-   Select images.zip as data. Most likely you should use `share`
-   functionality because size of images.zip is more than 500Mb.
-   See [Creating an annotation task](cvat/apps/documentation/user_guide.md#creating-an-annotation-task)
-   guide for details.
-1. Create `obj.names` with the following content:
-   ```bash
-   aeroplane
-   bicycle
-   bird
-   boat
-   bottle
-   bus
-   car
-   cat
-   chair
-   cow
-   diningtable
-   dog
-   horse
-   motorbike
-   person
-   pottedplant
-   sheep
-   sofa
-   train
-   tvmonitor
-   ```
-1. Zip all label files together (we need to add only label files that correspond to the train subset)
-   ```bash
-   cat train.txt | while read p; do echo ${p%/*/*}/labels/${${p##*/}%%.*}.txt; done | zip labels.zip -j -@ obj.names
-   ```
-1. Click `Upload annotation` button, choose `YOLO ZIP 1.1` and select the *.zip file with labels from previous step.
-   It may take some time.
-
-### [MS COCO Object Detection](http://cocodataset.org/#format-data)
-#### COCO dumper description
-- downloaded file: single unpacked `json`. Detailed description of the MS COCO format can be found [here](http://cocodataset.org/#format-data)
-- supported shapes - Polygons, Rectangles (interpreted as polygons)
-
-#### COCO loader description
-- uploaded file: single unpacked `*.json`.
-- supported shapes: object is interpreted as Polygon if the `segmentation` field of annotation is not empty
-  else as Rectangle with coordinates from `bbox` field.
-- additional comments: the CVAT task should be created with the full label set that may be in the annotation files
-
-#### How to create a task from MS COCO dataset
-1.  Download the [MS COCO dataset](http://cocodataset.org/#download).
-    For example [2017 Val images](http://images.cocodataset.org/zips/val2017.zip)
-    and [2017 Train/Val annotations](http://images.cocodataset.org/annotations/annotations_trainval2017.zip).
-1.  Create a CVAT task with the following labels:
-      ```bash
-      person bicycle car motorcycle airplane bus train truck boat "traffic light" "fire hydrant" "stop sign" "parking meter" bench bird cat dog horse sheep cow elephant bear zebra giraffe backpack umbrella handbag tie suitcase frisbee skis snowboard "sports ball" kite "baseball bat" "baseball glove" skateboard surfboard "tennis racket" bottle "wine glass" cup fork knife spoon bowl banana apple sandwich orange broccoli carrot "hot dog" pizza donut cake chair couch "potted plant" bed "dining table" toilet tv laptop mouse remote keyboard "cell phone" microwave oven toaster sink refrigerator book clock vase scissors "teddy bear" "hair drier" toothbrush
-      ```
-
-      Select val2017.zip as data
-      (See [Creating an annotation task](cvat/apps/documentation/user_guide.md#creating-an-annotation-task)
-      guide for details)
-1.  unpack annotations_trainval2017.zip
-1.  click `Upload annotation` button,
-    choose `COCO JSON 1.0` and select `instances_val2017.json.json` annotation file. It may take some time.
-
-### [TFRecord](https://www.tensorflow.org/tutorials/load_data/tf_records)
-TFRecord is a very flexible format, but we try to correspond the format that used in
-[TF object detection](https://github.com/tensorflow/models/tree/master/research/object_detection)
-with minimal modifications.
-Used feature description:
-```python
-image_feature_description = {
-    'image/filename': tf.io.FixedLenFeature([], tf.string),
-    'image/source_id': tf.io.FixedLenFeature([], tf.string),
-    'image/height': tf.io.FixedLenFeature([], tf.int64),
-    'image/width': tf.io.FixedLenFeature([], tf.int64),
-    # Object boxes and classes.
-    'image/object/bbox/xmin': tf.io.VarLenFeature(tf.float32),
-    'image/object/bbox/xmax': tf.io.VarLenFeature(tf.float32),
-    'image/object/bbox/ymin': tf.io.VarLenFeature(tf.float32),
-    'image/object/bbox/ymax': tf.io.VarLenFeature(tf.float32),
-    'image/object/class/label': tf.io.VarLenFeature(tf.int64),
-    'image/object/class/text': tf.io.VarLenFeature(tf.string),
-}
-```
-#### TFRecord dumper description
-- downloaded file: a zip archive with following structure:
-  ```bash
-  taskname.zip
-  ├── task2.tfrecord
-  └── label_map.pbtxt
-  ```
-- supported shapes - Rectangles
-
-#### TFRecord loader description
-- uploaded file: a zip archive with following structure:
-  ```bash
-  taskname.zip
-  └── task2.tfrecord
-  ```
-- supported shapes: Rectangles
-- additional comments: the CVAT task should be created with the full label set that may be in the annotation files
-
-#### How to create a task from TFRecord dataset (from VOC2007 for example)
-1. Create label_map.pbtxt file with the following content:
-```js
-item {
-	id: 1
-	name: 'aeroplane'
-}
-item {
-	id: 2
-	name: 'bicycle'
-}
-item {
-	id: 3
-	name: 'bird'
-}
-item {
-	id: 4
-	name: 'boat'
-}
-item {
-	id: 5
-	name: 'bottle'
-}
-item {
-	id: 6
-	name: 'bus'
-}
-item {
-	id: 7
-	name: 'car'
-}
-item {
-	id: 8
-	name: 'cat'
-}
-item {
-	id: 9
-	name: 'chair'
-}
-item {
-	id: 10
-	name: 'cow'
-}
-item {
-	id: 11
-	name: 'diningtable'
-}
-item {
-	id: 12
-	name: 'dog'
-}
-item {
-	id: 13
-	name: 'horse'
-}
-item {
-	id: 14
-	name: 'motorbike'
-}
-item {
-	id: 15
-	name: 'person'
-}
-item {
-	id: 16
-	name: 'pottedplant'
-}
-item {
-	id: 17
-	name: 'sheep'
-}
-item {
-	id: 18
-	name: 'sofa'
-}
-item {
-	id: 19
-	name: 'train'
-}
-item {
-	id: 20
-	name: 'tvmonitor'
-}
-```
-1. Use [create_pascal_tf_record.py](https://github.com/tensorflow/models/blob/master/research/object_detection/dataset_tools/create_pascal_tf_record.py)
-to convert VOC2007 dataset to TFRecord format.
-As example:
-```bash
-python create_pascal_tf_record.py --data_dir <path to VOCdevkit> --set train --year VOC2007 --output_path pascal.tfrecord --label_map_path label_map.pbtxt
-```
-1. Zip train images
-   ```bash
-   cat <path to VOCdevkit>/VOC2007/ImageSets/Main/train.txt | while read p; do echo <path to VOCdevkit>/VOC2007/JPEGImages/${p}.jpg  ; done | zip images.zip -j -@
-   ```
-1. Create a CVAT task with the following labels:
-   ```bash
-   aeroplane bicycle bird boat bottle bus car cat chair cow diningtable dog horse motorbike person pottedplant sheep sofa train tvmonitor
-   ```
-   Select images.zip as data.
-   See [Creating an annotation task](cvat/apps/documentation/user_guide.md#creating-an-annotation-task)
-   guide for details.
-1. Zip pascal.tfrecord and label_map.pbtxt files together
-   ```bash
-   zip anno.zip -j <path to pascal.tfrecord> <path to label_map.pbtxt>
-   ```
-1. Click `Upload annotation` button, choose `TFRecord ZIP 1.0` and select the *.zip file
-   with labels from previous step. It may take some time.
-
-### PNG mask
-#### Mask dumper description
-- downloaded file: a zip archive with the following structure:
-  ```bash
-  taskname.zip
-  ├── labelmap.txt # optional, required for non-VOC labels
-  ├── ImageSets/
-  │   └── Segmentation/
-  │       └── default.txt # list of image names without extension
-  ├── SegmentationClass/ # merged class masks
-  │   ├── image1.png
-  │   └── image2.png
-  └── SegmentationObject/ # merged instance masks
-      ├── image1.png
-      └── image2.png
-  ```
-  Mask is a png image with several (RGB) channels where each pixel has own color which corresponds to a label.
-  Color generation correspond to the Pascal VOC color generation
-  [algorithm](http://host.robots.ox.ac.uk/pascal/VOC/voc2012/htmldoc/devkit_doc.html#sec:voclabelcolormap).
-  (0, 0, 0) is used for background.
-  `labelmap.txt` file contains the values of the used colors in RGB format. The file structure:
-  ```bash
-  # label:color_rgb:parts:actions
-  background:0,128,0::
-  aeroplane:10,10,128::
-  bicycle:10,128,0::
-  bird:0,108,128::
-  boat:108,0,100::
-  bottle:18,0,8::
-  bus:12,28,0::
-  ```
-- supported shapes - Rectangles, Polygons
-
-#### Mask loader description
-- uploaded file: a zip archive of the following structure:
-  ```bash
-  name.zip
-  ├── labelmap.txt # optional, required for non-VOC labels
-  ├── ImageSets/
-  │   └── Segmentation/
-  │       └── <any_subset_name>.txt
-  ├── SegmentationClass/
-  │   ├── image1.png
-  │   └── image2.png
-  └── SegmentationObject/
-      ├── image1.png
-      └── image2.png
-  ```
-- supported shapes: Polygons
-- additional comments: the CVAT task should be created with the full label set that may be in the annotation files
-
-### [MOT sequence](https://arxiv.org/pdf/1906.04567.pdf)
-#### Dumper
-- downloaded file: a zip archive of the following structure:
-  ```bash
-  taskname.zip/
-  ├── img1/
-  |   ├── imgage1.jpg
-  |   └── imgage2.jpg
-  └── gt/
-      ├── labels.txt
-      └── gt.txt
-
-  # labels.txt
-  cat
-  dog
-  person
-  ...
-
-  # gt.txt
-  # frame_id, track_id, x, y, w, h, "not ignored", class_id, visibility, <skipped>
-  1,1,1363,569,103,241,1,1,0.86014
-  ...
-
-  ```
-- supported annotations: Rectangle shapes and tracks
-- supported attributes: `visibility` (number), `ignored` (checkbox)
-
-#### Loader
-- uploaded file: a zip archive of the structure above or:
-  ```bash
-  taskname.zip/
-  ├── labels.txt # optional, mandatory for non-official labels
-  └── gt.txt
-  ```
-- supported annotations: Rectangle tracks
-
-### [LabelMe](http://labelme.csail.mit.edu/Release3.0)
-#### Dumper
-- downloaded file: a zip archive of the following structure:
-  ```bash
-  taskname.zip/
-  ├── img1.jpg
-  └── img1.xml
-  ```
-- supported annotations: Rectangles, Polygons (with attributes)
-
-#### Loader
-- uploaded file: a zip archive of the following structure:
-  ```bash
-  taskname.zip/
-  ├── Masks/
-  |   ├── img1_mask1.png
-  |   └── img1_mask2.png
-  ├── img1.xml
-  ├── img2.xml
-  └── img3.xml
-  ```
-- supported annotations: Rectangles, Polygons, Masks (as polygons)
diff --git a/cvat/apps/annotation/__init__.py b/cvat/apps/annotation/__init__.py
deleted file mode 100644
index a6b8e925df1..00000000000
--- a/cvat/apps/annotation/__init__.py
+++ /dev/null
@@ -1,4 +0,0 @@
-# Copyright (C) 2018 Intel Corporation
-#
-# SPDX-License-Identifier: MIT
-default_app_config = 'cvat.apps.annotation.apps.AnnotationConfig'
diff --git a/cvat/apps/annotation/admin.py b/cvat/apps/annotation/admin.py
deleted file mode 100644
index b66dde17a5c..00000000000
--- a/cvat/apps/annotation/admin.py
+++ /dev/null
@@ -1,3 +0,0 @@
-# Copyright (C) 2018 Intel Corporation
-#
-# SPDX-License-Identifier: MIT
diff --git a/cvat/apps/annotation/annotation.py b/cvat/apps/annotation/annotation.py
deleted file mode 100644
index 86cdeb52aa5..00000000000
--- a/cvat/apps/annotation/annotation.py
+++ /dev/null
@@ -1,518 +0,0 @@
-# Copyright (C) 2018 Intel Corporation
-#
-# SPDX-License-Identifier: MIT
-
-import os
-import copy
-from collections import OrderedDict, namedtuple
-
-from django.utils import timezone
-
-from cvat.apps.engine.data_manager import DataManager, TrackManager
-from cvat.apps.engine.serializers import LabeledDataSerializer
-
-class AnnotationIR:
-    def __init__(self, data=None):
-        self.reset()
-        if data:
-            self._tags   = getattr(data, 'tags', []) or data['tags']
-            self._shapes = getattr(data, 'shapes', []) or data['shapes']
-            self._tracks = getattr(data, 'tracks', []) or data['tracks']
-
-    def add_tag(self, tag):
-        self._tags.append(tag)
-
-    def add_shape(self, shape):
-        self._shapes.append(shape)
-
-    def add_track(self, track):
-        self._tracks.append(track)
-
-    @property
-    def tags(self):
-        return self._tags
-
-    @property
-    def shapes(self):
-        return self._shapes
-
-    @property
-    def tracks(self):
-        return self._tracks
-
-    @property
-    def version(self):
-        return self._version
-
-    @tags.setter
-    def tags(self, tags):
-        self._tags = tags
-
-    @shapes.setter
-    def shapes(self, shapes):
-        self._shapes = shapes
-
-    @tracks.setter
-    def tracks(self, tracks):
-        self._tracks = tracks
-
-    @version.setter
-    def version(self, version):
-        self._version = version
-
-    def __getitem__(self, key):
-        return getattr(self, key)
-
-    @property
-    def data(self):
-        return {
-            'version': self.version,
-            'tags': self.tags,
-            'shapes': self.shapes,
-            'tracks': self.tracks,
-        }
-
-    def serialize(self):
-        serializer = LabeledDataSerializer(data=self.data)
-        if serializer.is_valid(raise_exception=True):
-            return serializer.data
-
-    @staticmethod
-    def _is_shape_inside(shape, start, stop):
-        return start <= int(shape['frame']) <= stop
-
-    @staticmethod
-    def _is_track_inside(track, start, stop):
-        # a <= b
-        def has_overlap(a, b):
-            return 0 <= min(b, stop) - max(a, start)
-
-        prev_shape = None
-        for shape in track['shapes']:
-            if prev_shape and not prev_shape['outside'] and \
-                has_overlap(prev_shape['frame'], shape['frame']):
-                    return True
-            prev_shape = shape
-
-        if not prev_shape['outside'] and prev_shape['frame'] <= stop:
-            return True
-
-        return False
-
-    @staticmethod
-    def _slice_track(track_, start, stop):
-        def filter_track_shapes(shapes):
-            shapes = [s for s in shapes if AnnotationIR._is_shape_inside(s, start, stop)]
-            drop_count = 0
-            for s in shapes:
-                if s['outside']:
-                    drop_count += 1
-                else:
-                    break
-            # Need to leave the last shape if all shapes are outside
-            if drop_count == len(shapes):
-                drop_count -= 1
-
-            return shapes[drop_count:]
-
-        track = copy.deepcopy(track_)
-        segment_shapes = filter_track_shapes(track['shapes'])
-
-        if len(segment_shapes) < len(track['shapes']):
-            interpolated_shapes = TrackManager.get_interpolated_shapes(track, start, stop)
-            scoped_shapes = filter_track_shapes(interpolated_shapes)
-
-            if scoped_shapes:
-                if not scoped_shapes[0]['keyframe']:
-                    segment_shapes.insert(0, scoped_shapes[0])
-                if not scoped_shapes[-1]['keyframe']:
-                    segment_shapes.append(scoped_shapes[-1])
-
-            # Should delete 'interpolation_shapes' and 'keyframe' keys because
-            # Track and TrackedShape models don't expect these fields
-            del track['interpolated_shapes']
-            for shape in segment_shapes:
-                del shape['keyframe']
-
-        track['shapes'] = segment_shapes
-        track['frame'] = track['shapes'][0]['frame']
-        return track
-
-    #makes a data copy from specified frame interval
-    def slice(self, start, stop):
-        splitted_data = AnnotationIR()
-        splitted_data.tags = [copy.deepcopy(t) for t in self.tags if self._is_shape_inside(t, start, stop)]
-        splitted_data.shapes = [copy.deepcopy(s) for s in self.shapes if self._is_shape_inside(s, start, stop)]
-        splitted_data.tracks = [self._slice_track(t, start, stop) for t in self.tracks if self._is_track_inside(t, start, stop)]
-
-        return splitted_data
-
-    @data.setter
-    def data(self, data):
-        self.version = data['version']
-        self.tags = data['tags']
-        self.shapes = data['shapes']
-        self.tracks = data['tracks']
-
-    def reset(self):
-        self._version = 0
-        self._tags = []
-        self._shapes = []
-        self._tracks = []
-
-class Annotation:
-    Attribute = namedtuple('Attribute', 'name, value')
-    LabeledShape = namedtuple('LabeledShape', 'type, frame, label, points, occluded, attributes, group, z_order')
-    LabeledShape.__new__.__defaults__ = (0, 0)
-    TrackedShape = namedtuple('TrackedShape', 'type, frame, points, occluded, outside, keyframe, attributes, group, z_order, label, track_id')
-    TrackedShape.__new__.__defaults__ = (0, 0, None, 0)
-    Track = namedtuple('Track', 'label, group, shapes')
-    Tag = namedtuple('Tag', 'frame, label, attributes, group')
-    Tag.__new__.__defaults__ = (0, )
-    Frame = namedtuple('Frame', 'frame, name, width, height, labeled_shapes, tags')
-
-    def __init__(self, annotation_ir, db_task, scheme='', host='', create_callback=None):
-        self._annotation_ir = annotation_ir
-        self._db_task = db_task
-        self._scheme = scheme
-        self._host = host
-        self._create_callback=create_callback
-        self._MAX_ANNO_SIZE=30000
-        self._frame_info = {}
-        self._frame_mapping = {}
-        self._frame_step = db_task.data.get_frame_step()
-
-        db_labels = self._db_task.label_set.all().prefetch_related('attributespec_set').order_by('pk')
-
-        self._label_mapping = OrderedDict((db_label.id, db_label) for db_label in db_labels)
-
-        self._attribute_mapping = {db_label.id: {'mutable': {}, 'immutable': {}} for db_label in db_labels}
-
-        for db_label in db_labels:
-            for db_attribute in db_label.attributespec_set.all():
-                if db_attribute.mutable:
-                    self._attribute_mapping[db_label.id]['mutable'][db_attribute.id] = db_attribute.name
-                else:
-                    self._attribute_mapping[db_label.id]['immutable'][db_attribute.id] = db_attribute.name
-
-        self._attribute_mapping_merged = {}
-        for label_id, attr_mapping in self._attribute_mapping.items():
-            self._attribute_mapping_merged[label_id] = {
-                **attr_mapping['mutable'],
-                **attr_mapping['immutable'],
-            }
-
-        self._init_frame_info()
-        self._init_meta()
-
-    def _get_label_id(self, label_name):
-        for db_label in self._label_mapping.values():
-            if label_name == db_label.name:
-                return db_label.id
-        return None
-
-    def _get_label_name(self, label_id):
-        return self._label_mapping[label_id].name
-
-    def _get_attribute_name(self, attribute_id):
-        for attribute_mapping in self._attribute_mapping_merged.values():
-            if attribute_id in attribute_mapping:
-                return attribute_mapping[attribute_id]
-
-    def _get_attribute_id(self, label_id, attribute_name, attribute_type=None):
-        if attribute_type:
-            container = self._attribute_mapping[label_id][attribute_type]
-        else:
-            container = self._attribute_mapping_merged[label_id]
-
-        for attr_id, attr_name in container.items():
-            if attribute_name == attr_name:
-                return attr_id
-        return None
-
-    def _get_mutable_attribute_id(self, label_id, attribute_name):
-        return self._get_attribute_id(label_id, attribute_name, 'mutable')
-
-    def _get_immutable_attribute_id(self, label_id, attribute_name):
-        return self._get_attribute_id(label_id, attribute_name, 'immutable')
-
-    def _init_frame_info(self):
-        if hasattr(self._db_task.data, 'video'):
-            self._frame_info = {
-                frame: {
-                    "path": "frame_{:06d}".format(frame),
-                    "width": self._db_task.data.video.width,
-                    "height": self._db_task.data.video.height,
-                } for frame in range(self._db_task.data.size)
-            }
-        else:
-            self._frame_info = {db_image.frame: {
-                "path": db_image.path,
-                "width": db_image.width,
-                "height": db_image.height,
-            } for db_image in self._db_task.data.images.all()}
-
-        self._frame_mapping = {
-            self._get_filename(info["path"]): frame for frame, info in self._frame_info.items()
-        }
-
-    def _init_meta(self):
-        db_segments = self._db_task.segment_set.all().prefetch_related('job_set')
-        self._meta = OrderedDict([
-            ("task", OrderedDict([
-                ("id", str(self._db_task.id)),
-                ("name", self._db_task.name),
-                ("size", str(self._db_task.data.size)),
-                ("mode", self._db_task.mode),
-                ("overlap", str(self._db_task.overlap)),
-                ("bugtracker", self._db_task.bug_tracker),
-                ("created", str(timezone.localtime(self._db_task.created_date))),
-                ("updated", str(timezone.localtime(self._db_task.updated_date))),
-                ("start_frame", str(self._db_task.data.start_frame)),
-                ("stop_frame", str(self._db_task.data.stop_frame)),
-                ("frame_filter", self._db_task.data.frame_filter),
-                ("z_order", str(self._db_task.z_order)),
-
-                ("labels", [
-                    ("label", OrderedDict([
-                        ("name", db_label.name),
-                        ("attributes", [
-                            ("attribute", OrderedDict([
-                                ("name", db_attr.name),
-                                ("mutable", str(db_attr.mutable)),
-                                ("input_type", db_attr.input_type),
-                                ("default_value", db_attr.default_value),
-                                ("values", db_attr.values)]))
-                            for db_attr in db_label.attributespec_set.all()])
-                    ])) for db_label in self._label_mapping.values()
-                ]),
-
-                ("segments", [
-                    ("segment", OrderedDict([
-                        ("id", str(db_segment.id)),
-                        ("start", str(db_segment.start_frame)),
-                        ("stop", str(db_segment.stop_frame)),
-                        ("url", "{0}://{1}/?id={2}".format(
-                            self._scheme, self._host, db_segment.job_set.all()[0].id))]
-                    )) for db_segment in db_segments
-                ]),
-
-                ("owner", OrderedDict([
-                    ("username", self._db_task.owner.username),
-                    ("email", self._db_task.owner.email)
-                ]) if self._db_task.owner else ""),
-
-                ("assignee", OrderedDict([
-                    ("username", self._db_task.assignee.username),
-                    ("email", self._db_task.assignee.email)
-                ]) if self._db_task.assignee else ""),
-            ])),
-            ("dumped", str(timezone.localtime(timezone.now())))
-        ])
-
-        if hasattr(self._db_task.data, "video"):
-            self._meta["task"]["original_size"] = OrderedDict([
-                ("width", str(self._db_task.data.video.width)),
-                ("height", str(self._db_task.data.video.height))
-            ])
-            # Add source to dumped file
-            self._meta["source"] = str(os.path.basename(self._db_task.data.video.path))
-
-    def _export_attributes(self, attributes):
-        exported_attributes = []
-        for attr in attributes:
-            attribute_name = self._get_attribute_name(attr["spec_id"])
-            exported_attributes.append(Annotation.Attribute(
-                name=attribute_name,
-                value=attr["value"],
-            ))
-        return exported_attributes
-
-    def _export_tracked_shape(self, shape):
-        return Annotation.TrackedShape(
-            type=shape["type"],
-            frame=self._db_task.data.start_frame + shape["frame"] * self._frame_step,
-            label=self._get_label_name(shape["label_id"]),
-            points=shape["points"],
-            occluded=shape["occluded"],
-            z_order=shape.get("z_order", 0),
-            group=shape.get("group", 0),
-            outside=shape.get("outside", False),
-            keyframe=shape.get("keyframe", True),
-            track_id=shape["track_id"],
-            attributes=self._export_attributes(shape["attributes"]),
-        )
-
-    def _export_labeled_shape(self, shape):
-        return Annotation.LabeledShape(
-            type=shape["type"],
-            label=self._get_label_name(shape["label_id"]),
-            frame=self._db_task.data.start_frame + shape["frame"] * self._frame_step,
-            points=shape["points"],
-            occluded=shape["occluded"],
-            z_order=shape.get("z_order", 0),
-            group=shape.get("group", 0),
-            attributes=self._export_attributes(shape["attributes"]),
-        )
-
-    def _export_tag(self, tag):
-        return Annotation.Tag(
-            frame=self._db_task.data.start_frame + tag["frame"] * self._frame_step,
-            label=self._get_label_name(tag["label_id"]),
-            group=tag.get("group", 0),
-            attributes=self._export_attributes(tag["attributes"]),
-        )
-
-    def group_by_frame(self):
-        def _get_frame(annotations, shape):
-            db_image = self._frame_info[shape["frame"]]
-            frame = self._db_task.data.start_frame + shape["frame"] * self._frame_step
-            if frame not in annotations:
-                annotations[frame] = Annotation.Frame(
-                    frame=frame,
-                    name=db_image['path'],
-                    height=db_image["height"],
-                    width=db_image["width"],
-                    labeled_shapes=[],
-                    tags=[],
-                )
-            return annotations[frame]
-
-        annotations = {}
-        data_manager = DataManager(self._annotation_ir)
-        for shape in sorted(data_manager.to_shapes(self._db_task.data.size), key=lambda shape: shape.get("z_order", 0)):
-            if 'track_id' in shape:
-                exported_shape = self._export_tracked_shape(shape)
-            else:
-                exported_shape = self._export_labeled_shape(shape)
-            _get_frame(annotations, shape).labeled_shapes.append(exported_shape)
-
-        for tag in self._annotation_ir.tags:
-            _get_frame(annotations, tag).tags.append(self._export_tag(tag))
-
-        return iter(annotations.values())
-
-    @property
-    def shapes(self):
-        for shape in self._annotation_ir.shapes:
-            yield self._export_labeled_shape(shape)
-
-    @property
-    def tracks(self):
-        for idx, track in enumerate(self._annotation_ir.tracks):
-            tracked_shapes = TrackManager.get_interpolated_shapes(track, 0, self._db_task.data.size)
-            for tracked_shape in tracked_shapes:
-                tracked_shape["attributes"] += track["attributes"]
-                tracked_shape["track_id"] = idx
-                tracked_shape["group"] = track["group"]
-                tracked_shape["label_id"] = track["label_id"]
-
-            yield Annotation.Track(
-                label=self._get_label_name(track["label_id"]),
-                group=track["group"],
-                shapes=[self._export_tracked_shape(shape) for shape in tracked_shapes],
-            )
-
-    @property
-    def tags(self):
-        for tag in self._annotation_ir.tags:
-            yield self._export_tag(tag)
-
-    @property
-    def meta(self):
-        return self._meta
-
-    def _import_tag(self, tag):
-        _tag = tag._asdict()
-        label_id = self._get_label_id(_tag.pop('label'))
-        _tag['frame'] = (int(_tag['frame']) - self._db_task.data.start_frame) // self._frame_step
-        _tag['label_id'] = label_id
-        _tag['attributes'] = [self._import_attribute(label_id, attrib) for attrib in _tag['attributes']
-                                  if self._get_attribute_id(label_id, attrib.name)]
-        return _tag
-
-    def _import_attribute(self, label_id, attribute):
-        return {
-            'spec_id': self._get_attribute_id(label_id, attribute.name),
-            'value': attribute.value,
-        }
-
-    def _import_shape(self, shape):
-        _shape = shape._asdict()
-        label_id = self._get_label_id(_shape.pop('label'))
-        _shape['frame'] = (int(_shape['frame']) - self._db_task.data.start_frame) // self._frame_step
-        _shape['label_id'] = label_id
-        _shape['attributes'] = [self._import_attribute(label_id, attrib) for attrib in _shape['attributes']
-                                    if self._get_attribute_id(label_id, attrib.name)]
-        return _shape
-
-    def _import_track(self, track):
-        _track = track._asdict()
-        label_id = self._get_label_id(_track.pop('label'))
-        _track['frame'] = (min(int(shape.frame) for shape in _track['shapes']) - \
-            self._db_task.data.start_frame) // self._frame_step
-        _track['label_id'] = label_id
-        _track['attributes'] = []
-        _track['shapes'] = [shape._asdict() for shape in _track['shapes']]
-        for shape in _track['shapes']:
-            shape['frame'] = (int(shape['frame']) - self._db_task.data.start_frame) // self._frame_step
-            _track['attributes'] = [self._import_attribute(label_id, attrib) for attrib in shape['attributes']
-                                        if self._get_immutable_attribute_id(label_id, attrib.name)]
-            shape['attributes']  = [self._import_attribute(label_id, attrib) for attrib in shape['attributes']
-                                        if self._get_mutable_attribute_id(label_id, attrib.name)]
-
-        return _track
-
-    def _call_callback(self):
-        if self._len() > self._MAX_ANNO_SIZE:
-            self._create_callback(self._annotation_ir.serialize())
-            self._annotation_ir.reset()
-
-    def add_tag(self, tag):
-        imported_tag = self._import_tag(tag)
-        if imported_tag['label_id']:
-            self._annotation_ir.add_tag(imported_tag)
-            self._call_callback()
-
-    def add_shape(self, shape):
-        imported_shape = self._import_shape(shape)
-        if imported_shape['label_id']:
-            self._annotation_ir.add_shape(imported_shape)
-            self._call_callback()
-
-    def add_track(self, track):
-        imported_track = self._import_track(track)
-        if imported_track['label_id']:
-            self._annotation_ir.add_track(imported_track)
-            self._call_callback()
-
-    @property
-    def data(self):
-        return self._annotation_ir
-
-    def _len(self):
-        track_len = 0
-        for track in self._annotation_ir.tracks:
-            track_len += len(track['shapes'])
-
-        return len(self._annotation_ir.tags) + len(self._annotation_ir.shapes) + track_len
-
-    @property
-    def frame_info(self):
-        return self._frame_info
-
-    @property
-    def frame_step(self):
-        return self._frame_step
-
-    @staticmethod
-    def _get_filename(path):
-        return os.path.splitext(os.path.basename(path))[0]
-
-    def match_frame(self, filename):
-        # try to match by filename
-        _filename = self._get_filename(filename)
-        if _filename in self._frame_mapping:
-            return self._frame_mapping[_filename]
-
-        raise Exception("Cannot match filename or determinate framenumber for {} filename".format(filename))
diff --git a/cvat/apps/annotation/apps.py b/cvat/apps/annotation/apps.py
deleted file mode 100644
index 6a14bfef6b8..00000000000
--- a/cvat/apps/annotation/apps.py
+++ /dev/null
@@ -1,18 +0,0 @@
-# Copyright (C) 2018 Intel Corporation
-#
-# SPDX-License-Identifier: MIT
-
-from django.apps import AppConfig
-from django.db.models.signals import post_migrate
-from cvat.apps.annotation.settings import BUILTIN_FORMATS
-
-def register_builtins_callback(sender, **kwargs):
-    from .format import register_format
-    for builtin_format in BUILTIN_FORMATS:
-        register_format(builtin_format)
-
-class AnnotationConfig(AppConfig):
-    name = 'cvat.apps.annotation'
-
-    def ready(self):
-        post_migrate.connect(register_builtins_callback, sender=self)
diff --git a/cvat/apps/annotation/format.py b/cvat/apps/annotation/format.py
deleted file mode 100644
index 9ac2a00ca1b..00000000000
--- a/cvat/apps/annotation/format.py
+++ /dev/null
@@ -1,41 +0,0 @@
-# Copyright (C) 2018 Intel Corporation
-#
-# SPDX-License-Identifier: MIT
-
-from cvat.apps.annotation import models
-from django.core.exceptions import ObjectDoesNotExist
-from cvat.apps.annotation.serializers import AnnotationFormatSerializer
-from django.core.files import File
-
-from copy import deepcopy
-
-def register_format(format_file):
-    source_code = open(format_file, 'r').read()
-    global_vars = {}
-    exec(source_code, global_vars)
-    if "format_spec" not in global_vars or not isinstance(global_vars["format_spec"], dict):
-        raise Exception("Could not find 'format_spec' definition in format file specification")
-
-    format_spec = deepcopy(global_vars["format_spec"])
-    format_spec["handler_file"] = File(open(format_file))
-    for spec in format_spec["loaders"] + format_spec["dumpers"]:
-        spec["display_name"] = spec["display_name"].format(
-            name=format_spec["name"],
-            format=spec["format"],
-            version=spec["version"],
-            )
-
-    try:
-        annotation_format = models.AnnotationFormat.objects.get(name=format_spec["name"])
-        serializer = AnnotationFormatSerializer(annotation_format, data=format_spec)
-        if serializer.is_valid(raise_exception=True):
-            serializer.save()
-    except ObjectDoesNotExist:
-        serializer = AnnotationFormatSerializer(data=format_spec)
-        if serializer.is_valid(raise_exception=True):
-            serializer.save()
-
-def get_annotation_formats():
-    return AnnotationFormatSerializer(
-        models.AnnotationFormat.objects.all(),
-        many=True).data
diff --git a/cvat/apps/annotation/migrations/0001_initial.py b/cvat/apps/annotation/migrations/0001_initial.py
deleted file mode 100644
index 9c331fee941..00000000000
--- a/cvat/apps/annotation/migrations/0001_initial.py
+++ /dev/null
@@ -1,48 +0,0 @@
-# Generated by Django 2.1.9 on 2019-07-31 15:20
-
-import cvat.apps.annotation.models
-import cvat.apps.engine.models
-from django.conf import settings
-import django.core.files.storage
-from django.db import migrations, models
-import django.db.models.deletion
-
-
-class Migration(migrations.Migration):
-
-    initial = True
-
-    dependencies = [
-        migrations.swappable_dependency(settings.AUTH_USER_MODEL),
-    ]
-
-    operations = [
-        migrations.CreateModel(
-            name='AnnotationFormat',
-            fields=[
-                ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
-                ('name', cvat.apps.engine.models.SafeCharField(max_length=256)),
-                ('created_date', models.DateTimeField(auto_now_add=True)),
-                ('updated_date', models.DateTimeField(auto_now_add=True)),
-                ('handler_file', models.FileField(storage=django.core.files.storage.FileSystemStorage(location=settings.BASE_DIR), upload_to=cvat.apps.annotation.models.upload_file_handler)),
-                ('owner', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL)),
-            ],
-            options={
-                'default_permissions': (),
-            },
-        ),
-        migrations.CreateModel(
-            name='AnnotationHandler',
-            fields=[
-                ('type', models.CharField(choices=[('dumper', 'DUMPER'), ('loader', 'LOADER')], max_length=16)),
-                ('display_name', cvat.apps.engine.models.SafeCharField(max_length=256, primary_key=True, serialize=False)),
-                ('format', models.CharField(max_length=16)),
-                ('version', models.CharField(max_length=16)),
-                ('handler', models.CharField(max_length=256)),
-                ('annotation_format', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='annotation.AnnotationFormat')),
-            ],
-            options={
-                'default_permissions': (),
-            },
-        ),
-    ]
diff --git a/cvat/apps/annotation/migrations/0002_auto_20190805_0927.py b/cvat/apps/annotation/migrations/0002_auto_20190805_0927.py
deleted file mode 100644
index 6b289864020..00000000000
--- a/cvat/apps/annotation/migrations/0002_auto_20190805_0927.py
+++ /dev/null
@@ -1,74 +0,0 @@
-# Generated by Django 2.1.9 on 2019-08-05 06:27
-
-import cvat.apps.engine.models
-from django.db import migrations, models
-import django.db.models.deletion
-
-def split_handlers(apps, schema_editor):
-    db_alias = schema_editor.connection.alias
-    handler_model = apps.get_model('annotation', 'AnnotationHandler')
-    dumper_model = apps.get_model('annotation', "AnnotationDumper")
-    loader_model = apps.get_model('annotation', 'AnnotationLoader')
-
-
-    for db_handler in handler_model.objects.all():
-        if db_handler.type == "dumper":
-            new_handler = dumper_model()
-        else:
-            new_handler = loader_model()
-
-        new_handler.display_name = db_handler.display_name
-        new_handler.format = db_handler.format
-        new_handler.version = db_handler.version
-        new_handler.handler = db_handler.handler
-        new_handler.annotation_format = db_handler.annotation_format
-
-        new_handler.save()
-        db_handler.delete()
-
-class Migration(migrations.Migration):
-
-    dependencies = [
-        ('annotation', '0001_initial'),
-    ]
-
-    operations = [
-        migrations.CreateModel(
-            name='AnnotationDumper',
-            fields=[
-                ('display_name', cvat.apps.engine.models.SafeCharField(max_length=256, primary_key=True, serialize=False)),
-                ('format', models.CharField(max_length=16)),
-                ('version', models.CharField(max_length=16)),
-                ('handler', models.CharField(max_length=256)),
-                ('annotation_format', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='annotation.AnnotationFormat')),
-            ],
-            options={
-                'abstract': False,
-                'default_permissions': (),
-            },
-        ),
-        migrations.CreateModel(
-            name='AnnotationLoader',
-            fields=[
-                ('display_name', cvat.apps.engine.models.SafeCharField(max_length=256, primary_key=True, serialize=False)),
-                ('format', models.CharField(max_length=16)),
-                ('version', models.CharField(max_length=16)),
-                ('handler', models.CharField(max_length=256)),
-                ('annotation_format', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='annotation.AnnotationFormat')),
-            ],
-            options={
-                'abstract': False,
-                'default_permissions': (),
-            },
-        ),
-        migrations.RunPython(
-            code=split_handlers,
-        ),
-        migrations.RemoveField(
-            model_name='annotationhandler',
-            name='annotation_format',
-        ),
-        migrations.DeleteModel(
-            name='AnnotationHandler',
-        ),
-    ]
diff --git a/cvat/apps/annotation/migrations/__init__.py b/cvat/apps/annotation/migrations/__init__.py
deleted file mode 100644
index b66dde17a5c..00000000000
--- a/cvat/apps/annotation/migrations/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-# Copyright (C) 2018 Intel Corporation
-#
-# SPDX-License-Identifier: MIT
diff --git a/cvat/apps/annotation/models.py b/cvat/apps/annotation/models.py
deleted file mode 100644
index 3595327dca5..00000000000
--- a/cvat/apps/annotation/models.py
+++ /dev/null
@@ -1,46 +0,0 @@
-# Copyright (C) 2018 Intel Corporation
-#
-# SPDX-License-Identifier: MIT
-
-import os
-
-from django.db import models
-from django.conf import settings
-from django.core.files.storage import FileSystemStorage
-from django.contrib.auth.models import User
-
-from cvat.apps.engine.models import SafeCharField
-
-def upload_file_handler(instance, filename):
-    return os.path.join('formats', str(instance.id), filename)
-
-class AnnotationFormat(models.Model):
-    name = SafeCharField(max_length=256)
-    owner = models.ForeignKey(User, null=True, blank=True,
-        on_delete=models.SET_NULL)
-    created_date = models.DateTimeField(auto_now_add=True)
-    updated_date = models.DateTimeField(auto_now_add=True)
-    handler_file = models.FileField(
-        upload_to=upload_file_handler,
-        storage=FileSystemStorage(location=os.path.join(settings.BASE_DIR)),
-    )
-
-    class Meta:
-        default_permissions = ()
-
-class AnnotationHandler(models.Model):
-    display_name = SafeCharField(max_length=256, primary_key=True)
-    format = models.CharField(max_length=16)
-    version = models.CharField(max_length=16)
-    handler = models.CharField(max_length=256)
-    annotation_format = models.ForeignKey(AnnotationFormat, on_delete=models.CASCADE)
-
-    class Meta:
-        default_permissions = ()
-        abstract = True
-
-class AnnotationDumper(AnnotationHandler):
-    pass
-
-class AnnotationLoader(AnnotationHandler):
-    pass
diff --git a/cvat/apps/annotation/serializers.py b/cvat/apps/annotation/serializers.py
deleted file mode 100644
index 7284c0414a0..00000000000
--- a/cvat/apps/annotation/serializers.py
+++ /dev/null
@@ -1,81 +0,0 @@
-# Copyright (C) 2018-2020 Intel Corporation
-#
-# SPDX-License-Identifier: MIT
-
-from django.utils import timezone
-from rest_framework import serializers
-
-from cvat.apps.annotation import models
-
-class AnnotationDumperSerializer(serializers.ModelSerializer):
-    class Meta:
-        model = models.AnnotationDumper
-        exclude = ('annotation_format',)
-        # https://www.django-rest-framework.org/api-guide/validators/#updating-nested-serializers
-        extra_kwargs = {
-            'display_name': {
-                'validators': [],
-            },
-        }
-
-class AnnotationLoaderSerializer(serializers.ModelSerializer):
-    class Meta:
-        model = models.AnnotationLoader
-        exclude = ('annotation_format',)
-        # https://www.django-rest-framework.org/api-guide/validators/#updating-nested-serializers
-        extra_kwargs = {
-            'display_name': {
-                'validators': [],
-            },
-        }
-
-class AnnotationFormatSerializer(serializers.ModelSerializer):
-    dumpers = AnnotationDumperSerializer(many=True, source="annotationdumper_set")
-    loaders = AnnotationLoaderSerializer(many=True, source="annotationloader_set")
-
-    class Meta:
-        model = models.AnnotationFormat
-        fields = "__all__"
-
-    # pylint: disable=no-self-use
-    def create(self, validated_data):
-        dumpers = validated_data.pop("annotationdumper_set")
-        loaders = validated_data.pop("annotationloader_set")
-
-        annotation_format = models.AnnotationFormat()
-        annotation_format.name = validated_data["name"]
-        annotation_format.handler_file = validated_data["handler_file"].name
-        annotation_format.save()
-
-        for dumper in dumpers:
-            models.AnnotationDumper(annotation_format=annotation_format, **dumper).save()
-
-        for loader in loaders:
-            models.AnnotationLoader(annotation_format=annotation_format, **loader).save()
-
-        return annotation_format
-
-    # pylint: disable=no-self-use
-    def update(self, instance, validated_data):
-        dumper_names = [handler["display_name"] for handler in validated_data["annotationdumper_set"]]
-        loader_names = [handler["display_name"] for handler in validated_data["annotationloader_set"]]
-        instance.handler_file = validated_data.get('handler_file', instance.handler_file)
-        instance.owner = validated_data.get('owner', instance.owner)
-        instance.updated_date = timezone.localtime(timezone.now())
-
-        handlers_to_delete = [d for d in instance.annotationdumper_set.all() if d.display_name not in dumper_names] + \
-            [l for l in instance.annotationloader_set.all() if l.display_name not in loader_names]
-
-        for db_handler in handlers_to_delete:
-            db_handler.delete()
-
-        for dumper in validated_data["annotationdumper_set"]:
-            models.AnnotationDumper(annotation_format=instance, **dumper).save()
-        for loader in validated_data["annotationloader_set"]:
-            models.AnnotationLoader(annotation_format=instance, **loader).save()
-
-        instance.save()
-        return instance
-
-class AnnotationFileSerializer(serializers.Serializer):
-    annotation_file = serializers.FileField()
diff --git a/cvat/apps/annotation/settings.py b/cvat/apps/annotation/settings.py
deleted file mode 100644
index 9099a387c05..00000000000
--- a/cvat/apps/annotation/settings.py
+++ /dev/null
@@ -1,17 +0,0 @@
-# Copyright (C) 2018 Intel Corporation
-#
-# SPDX-License-Identifier: MIT
-
-import os
-
-path_prefix = os.path.join('cvat', 'apps', 'dataset_manager', 'formats')
-BUILTIN_FORMATS = (
-    os.path.join(path_prefix, 'cvat.py'),
-    os.path.join(path_prefix, 'pascal_voc.py'),
-    os.path.join(path_prefix, 'yolo.py'),
-    os.path.join(path_prefix, 'coco.py'),
-    os.path.join(path_prefix, 'mask.py'),
-    os.path.join(path_prefix, 'tfrecord.py'),
-    os.path.join(path_prefix, 'mot.py'),
-    os.path.join(path_prefix, 'labelme.py'),
-)
diff --git a/cvat/apps/annotation/tests.py b/cvat/apps/annotation/tests.py
deleted file mode 100644
index b66dde17a5c..00000000000
--- a/cvat/apps/annotation/tests.py
+++ /dev/null
@@ -1,3 +0,0 @@
-# Copyright (C) 2018 Intel Corporation
-#
-# SPDX-License-Identifier: MIT
diff --git a/cvat/apps/annotation/views.py b/cvat/apps/annotation/views.py
deleted file mode 100644
index b66dde17a5c..00000000000
--- a/cvat/apps/annotation/views.py
+++ /dev/null
@@ -1,3 +0,0 @@
-# Copyright (C) 2018 Intel Corporation
-#
-# SPDX-License-Identifier: MIT
diff --git a/cvat/apps/auto_annotation/model_manager.py b/cvat/apps/auto_annotation/model_manager.py
index 66467100a14..37f6cc059bc 100644
--- a/cvat/apps/auto_annotation/model_manager.py
+++ b/cvat/apps/auto_annotation/model_manager.py
@@ -1,4 +1,4 @@
-# Copyright (C) 2018-2019 Intel Corporation
+# Copyright (C) 2018-2020 Intel Corporation
 #
 # SPDX-License-Identifier: MIT
 
@@ -17,7 +17,7 @@
 from cvat.apps.engine.models import Task as TaskModel
 from cvat.apps.authentication.auth import has_admin_role
 from cvat.apps.engine.serializers import LabeledDataSerializer
-from cvat.apps.engine.annotation import put_task_data, patch_task_data
+from cvat.apps.dataset_manager.task import put_task_data, patch_task_data
 from cvat.apps.engine.frame_provider import FrameProvider
 
 from .models import AnnotationModel, FrameworkChoice
@@ -248,9 +248,9 @@ def update_progress(job, progress):
             serializer = LabeledDataSerializer(data = result)
             if serializer.is_valid(raise_exception=True):
                 if reset:
-                    put_task_data(tid, user, result)
+                    put_task_data(tid, result)
                 else:
-                    patch_task_data(tid, user, result, "create")
+                    patch_task_data(tid, result, "create")
 
             slogger.glob.info("auto annotation for task {} done".format(tid))
     except Exception as e:
diff --git a/cvat/apps/auto_segmentation/views.py b/cvat/apps/auto_segmentation/views.py
index e6ff702513d..1a9ce062581 100644
--- a/cvat/apps/auto_segmentation/views.py
+++ b/cvat/apps/auto_segmentation/views.py
@@ -1,5 +1,5 @@
 
-# Copyright (C) 2018-2019 Intel Corporation
+# Copyright (C) 2018-2020 Intel Corporation
 #
 # SPDX-License-Identifier: MIT
 
@@ -8,9 +8,9 @@
 from rest_framework.decorators import api_view
 from rules.contrib.views import permission_required, objectgetter
 from cvat.apps.authentication.decorators import login_required
+from cvat.apps.dataset_manager.task import put_task_data
 from cvat.apps.engine.models import Task as TaskModel
 from cvat.apps.engine.serializers import LabeledDataSerializer
-from cvat.apps.engine.annotation import put_task_data
 from cvat.apps.engine.frame_provider import FrameProvider
 
 import django_rq
@@ -161,7 +161,7 @@ def create_thread(tid, labels_mapping, user):
         result = convert_to_cvat_format(result)
         serializer = LabeledDataSerializer(data = result)
         if serializer.is_valid(raise_exception=True):
-            put_task_data(tid, user, result)
+            put_task_data(tid, result)
         slogger.glob.info('auto segmentation for task {} done'.format(tid))
     except Exception as ex:
         try:
diff --git a/cvat/apps/dataset_manager/__init__.py b/cvat/apps/dataset_manager/__init__.py
deleted file mode 100644
index e69de29bb2d..00000000000
diff --git a/cvat/apps/engine/data_manager.py b/cvat/apps/dataset_manager/annotation.py
similarity index 75%
rename from cvat/apps/engine/data_manager.py
rename to cvat/apps/dataset_manager/annotation.py
index 7da117c1f04..d0ed61f523a 100644
--- a/cvat/apps/engine/data_manager.py
+++ b/cvat/apps/dataset_manager/annotation.py
@@ -2,16 +2,138 @@
 #
 # SPDX-License-Identifier: MIT
 
-import copy
+from copy import copy, deepcopy
 
 import numpy as np
 from scipy.optimize import linear_sum_assignment
 from shapely import geometry
 
-from . import models
+from cvat.apps.engine.models import ShapeType
+from cvat.apps.engine.serializers import LabeledDataSerializer
 
 
-class DataManager:
+class AnnotationIR:
+    def __init__(self, data=None):
+        self.reset()
+        if data:
+            self.tags = getattr(data, 'tags', []) or data['tags']
+            self.shapes = getattr(data, 'shapes', []) or data['shapes']
+            self.tracks = getattr(data, 'tracks', []) or data['tracks']
+
+    def add_tag(self, tag):
+        self.tags.append(tag)
+
+    def add_shape(self, shape):
+        self.shapes.append(shape)
+
+    def add_track(self, track):
+        self.tracks.append(track)
+
+    @property
+    def data(self):
+        return {
+            'version': self.version,
+            'tags': self.tags,
+            'shapes': self.shapes,
+            'tracks': self.tracks,
+        }
+
+    def __getitem__(self, key):
+        return getattr(self, key)
+
+    @data.setter
+    def data(self, data):
+        self.version = data['version']
+        self.tags = data['tags']
+        self.shapes = data['shapes']
+        self.tracks = data['tracks']
+
+    def serialize(self):
+        serializer = LabeledDataSerializer(data=self.data)
+        if serializer.is_valid(raise_exception=True):
+            return serializer.data
+
+    @staticmethod
+    def _is_shape_inside(shape, start, stop):
+        return start <= int(shape['frame']) <= stop
+
+    @staticmethod
+    def _is_track_inside(track, start, stop):
+        def has_overlap(a, b):
+            # a <= b
+            return 0 <= min(b, stop) - max(a, start)
+
+        prev_shape = None
+        for shape in track['shapes']:
+            if prev_shape and not prev_shape['outside'] and \
+                has_overlap(prev_shape['frame'], shape['frame']):
+                    return True
+            prev_shape = shape
+
+        if not prev_shape['outside'] and prev_shape['frame'] <= stop:
+            return True
+
+        return False
+
+    @classmethod
+    def _slice_track(cls, track_, start, stop):
+        def filter_track_shapes(shapes):
+            shapes = [s for s in shapes if cls._is_shape_inside(s, start, stop)]
+            drop_count = 0
+            for s in shapes:
+                if s['outside']:
+                    drop_count += 1
+                else:
+                    break
+            # Need to leave the last shape if all shapes are outside
+            if drop_count == len(shapes):
+                drop_count -= 1
+
+            return shapes[drop_count:]
+
+        track = deepcopy(track_)
+        segment_shapes = filter_track_shapes(track['shapes'])
+
+        if len(segment_shapes) < len(track['shapes']):
+            interpolated_shapes = TrackManager.get_interpolated_shapes(
+                track, start, stop)
+            scoped_shapes = filter_track_shapes(interpolated_shapes)
+
+            if scoped_shapes:
+                if not scoped_shapes[0]['keyframe']:
+                    segment_shapes.insert(0, scoped_shapes[0])
+                if not scoped_shapes[-1]['keyframe']:
+                    segment_shapes.append(scoped_shapes[-1])
+
+            # Should delete 'interpolation_shapes' and 'keyframe' keys because
+            # Track and TrackedShape models don't expect these fields
+            del track['interpolated_shapes']
+            for shape in segment_shapes:
+                del shape['keyframe']
+
+        track['shapes'] = segment_shapes
+        track['frame'] = track['shapes'][0]['frame']
+        return track
+
+    def slice(self, start, stop):
+        #makes a data copy from specified frame interval
+        splitted_data = AnnotationIR()
+        splitted_data.tags = [deepcopy(t)
+            for t in self.tags if self._is_shape_inside(t, start, stop)]
+        splitted_data.shapes = [deepcopy(s)
+            for s in self.shapes if self._is_shape_inside(s, start, stop)]
+        splitted_data.tracks = [self._slice_track(t, start, stop)
+            for t in self.tracks if self._is_track_inside(t, start, stop)]
+
+        return splitted_data
+
+    def reset(self):
+        self.version = 0
+        self.tags = []
+        self.shapes = []
+        self.tracks = []
+
+class AnnotationManager:
     def __init__(self, data):
         self.data = data
 
@@ -164,13 +286,13 @@ class ShapeManager(ObjectManager):
     def to_tracks(self):
         tracks = []
         for shape in self.objects:
-            shape0 = copy.copy(shape)
+            shape0 = copy(shape)
             shape0["keyframe"] = True
             shape0["outside"] = False
             # TODO: Separate attributes on mutable and unmutable
             shape0["attributes"] = []
             shape0.pop("group", None)
-            shape1 = copy.copy(shape0)
+            shape1 = copy(shape0)
             shape1["outside"] = True
             shape1["frame"] += 1
 
@@ -198,12 +320,12 @@ def _calc_polygons_similarity(p0, p1):
         has_same_type  = obj0["type"] == obj1["type"]
         has_same_label = obj0.get("label_id") == obj1.get("label_id")
         if has_same_type and has_same_label:
-            if obj0["type"] == models.ShapeType.RECTANGLE:
+            if obj0["type"] == ShapeType.RECTANGLE:
                 p0 = geometry.box(*obj0["points"])
                 p1 = geometry.box(*obj1["points"])
 
                 return _calc_polygons_similarity(p0, p1)
-            elif obj0["type"] == models.ShapeType.POLYGON:
+            elif obj0["type"] == ShapeType.POLYGON:
                 p0 = geometry.Polygon(pairwise(obj0["points"]))
                 p1 = geometry.Polygon(pairwise(obj0["points"]))
 
@@ -286,7 +408,7 @@ def _calc_objects_similarity(obj0, obj1, start_frame, overlap):
     def _modify_unmached_object(obj, end_frame):
         shape = obj["shapes"][-1]
         if not shape["outside"]:
-            shape = copy.deepcopy(shape)
+            shape = deepcopy(shape)
             shape["frame"] = end_frame
             shape["outside"] = True
             obj["shapes"].append(shape)
@@ -295,7 +417,7 @@ def _modify_unmached_object(obj, end_frame):
             if obj.get("interpolated_shapes"):
                 last_interpolated_shape = obj["interpolated_shapes"][-1]
                 for frame in range(last_interpolated_shape["frame"] + 1, end_frame):
-                    last_interpolated_shape = copy.deepcopy(last_interpolated_shape)
+                    last_interpolated_shape = deepcopy(last_interpolated_shape)
                     last_interpolated_shape["frame"] = frame
                     obj["interpolated_shapes"].append(last_interpolated_shape)
                 obj["interpolated_shapes"].append(shape)
@@ -313,7 +435,7 @@ def normalize_shape(shape):
             points.append(p.x)
             points.append(p.y)
 
-        shape = copy.copy(shape)
+        shape = copy(shape)
         shape["points"] = points
 
         return shape
@@ -323,8 +445,8 @@ def get_interpolated_shapes(track, start_frame, end_frame):
         def interpolate(shape0, shape1):
             shapes = []
             is_same_type = shape0["type"] == shape1["type"]
-            is_polygon = shape0["type"] == models.ShapeType.POLYGON
-            is_polyline = shape0["type"] == models.ShapeType.POLYLINE
+            is_polygon = shape0["type"] == ShapeType.POLYGON
+            is_polyline = shape0["type"] == ShapeType.POLYLINE
             is_same_size = len(shape0["points"]) == len(shape1["points"])
             if not is_same_type or is_polygon or is_polyline or not is_same_size:
                 shape0 = TrackManager.normalize_shape(shape0)
@@ -338,7 +460,7 @@ def interpolate(shape0, shape1):
                     points = np.asarray(shape0["points"]).reshape(-1, 2)
                 else:
                     points = (shape0["points"] + step * off).reshape(-1, 2)
-                shape = copy.deepcopy(shape0)
+                shape = deepcopy(shape0)
                 if len(points) == 1:
                     shape["points"] = points.flatten()
                 else:
@@ -362,7 +484,7 @@ def interpolate(shape0, shape1):
                 assert shape["frame"] > curr_frame
                 for attr in prev_shape["attributes"]:
                     if attr["spec_id"] not in map(lambda el: el["spec_id"], shape["attributes"]):
-                        shape["attributes"].append(copy.deepcopy(attr))
+                        shape["attributes"].append(deepcopy(attr))
                 if not prev_shape["outside"]:
                     shapes.extend(interpolate(prev_shape, shape))
 
@@ -372,9 +494,9 @@ def interpolate(shape0, shape1):
             prev_shape = shape
 
         # TODO: Need to modify a client and a database (append "outside" shapes for polytracks)
-        if not prev_shape["outside"] and (prev_shape["type"] == models.ShapeType.RECTANGLE
-               or prev_shape["type"] == models.ShapeType.POINTS):
-            shape = copy.copy(prev_shape)
+        if not prev_shape["outside"] and (prev_shape["type"] == ShapeType.RECTANGLE
+               or prev_shape["type"] == ShapeType.POINTS):
+            shape = copy(prev_shape)
             shape["frame"] = end_frame
             shapes.extend(interpolate(prev_shape, shape))
 
diff --git a/cvat/apps/dataset_manager/bindings.py b/cvat/apps/dataset_manager/bindings.py
index 53a103f02a6..b598cac3e8d 100644
--- a/cvat/apps/dataset_manager/bindings.py
+++ b/cvat/apps/dataset_manager/bindings.py
@@ -3,79 +3,439 @@
 #
 # SPDX-License-Identifier: MIT
 
-from collections import OrderedDict
+import os.path as osp
+from collections import OrderedDict, namedtuple
 
-from django.db import transaction
-
-from cvat.apps.annotation.annotation import Annotation
-from cvat.apps.engine.annotation import TaskAnnotation
-from cvat.apps.engine.models import ShapeType, AttributeType
+from django.utils import timezone
 
 import datumaro.components.extractor as datumaro
+from cvat.apps.engine.frame_provider import FrameProvider
+from cvat.apps.engine.models import AttributeType, ShapeType
 from datumaro.util.image import Image
 
+from .annotation import AnnotationManager, TrackManager
+
+
+class TaskData:
+    Attribute = namedtuple('Attribute', 'name, value')
+    LabeledShape = namedtuple(
+        'LabeledShape', 'type, frame, label, points, occluded, attributes, group, z_order')
+    LabeledShape.__new__.__defaults__ = (0, 0)
+    TrackedShape = namedtuple(
+        'TrackedShape', 'type, frame, points, occluded, outside, keyframe, attributes, group, z_order, label, track_id')
+    TrackedShape.__new__.__defaults__ = (0, 0, None, 0)
+    Track = namedtuple('Track', 'label, group, shapes')
+    Tag = namedtuple('Tag', 'frame, label, attributes, group')
+    Tag.__new__.__defaults__ = (0, )
+    Frame = namedtuple(
+        'Frame', 'idx, frame, name, width, height, labeled_shapes, tags')
+
+    def __init__(self, annotation_ir, db_task, host='', create_callback=None):
+        self._annotation_ir = annotation_ir
+        self._db_task = db_task
+        self._host = host
+        self._create_callback = create_callback
+        self._MAX_ANNO_SIZE = 30000
+        self._frame_info = {}
+        self._frame_mapping = {}
+        self._frame_step = db_task.data.get_frame_step()
+
+        db_labels = self._db_task.label_set.all().prefetch_related(
+            'attributespec_set').order_by('pk')
+
+        self._label_mapping = OrderedDict(
+            (db_label.id, db_label) for db_label in db_labels)
+
+        self._attribute_mapping = {db_label.id: {
+            'mutable': {}, 'immutable': {}} for db_label in db_labels}
+
+        for db_label in db_labels:
+            for db_attribute in db_label.attributespec_set.all():
+                if db_attribute.mutable:
+                    self._attribute_mapping[db_label.id]['mutable'][db_attribute.id] = db_attribute.name
+                else:
+                    self._attribute_mapping[db_label.id]['immutable'][db_attribute.id] = db_attribute.name
+
+        self._attribute_mapping_merged = {}
+        for label_id, attr_mapping in self._attribute_mapping.items():
+            self._attribute_mapping_merged[label_id] = {
+                **attr_mapping['mutable'],
+                **attr_mapping['immutable'],
+            }
+
+        self._init_frame_info()
+        self._init_meta()
+
+    def _get_label_id(self, label_name):
+        for db_label in self._label_mapping.values():
+            if label_name == db_label.name:
+                return db_label.id
+        return None
+
+    def _get_label_name(self, label_id):
+        return self._label_mapping[label_id].name
+
+    def _get_attribute_name(self, attribute_id):
+        for attribute_mapping in self._attribute_mapping_merged.values():
+            if attribute_id in attribute_mapping:
+                return attribute_mapping[attribute_id]
+
+    def _get_attribute_id(self, label_id, attribute_name, attribute_type=None):
+        if attribute_type:
+            container = self._attribute_mapping[label_id][attribute_type]
+        else:
+            container = self._attribute_mapping_merged[label_id]
+
+        for attr_id, attr_name in container.items():
+            if attribute_name == attr_name:
+                return attr_id
+        return None
+
+    def _get_mutable_attribute_id(self, label_id, attribute_name):
+        return self._get_attribute_id(label_id, attribute_name, 'mutable')
+
+    def _get_immutable_attribute_id(self, label_id, attribute_name):
+        return self._get_attribute_id(label_id, attribute_name, 'immutable')
+
+    def _init_frame_info(self):
+        if hasattr(self._db_task.data, 'video'):
+            self._frame_info = {frame: {
+                "path": "frame_{:06d}".format(
+                    self._db_task.data.start_frame + frame * self._frame_step),
+                "width": self._db_task.data.video.width,
+                "height": self._db_task.data.video.height,
+            } for frame in range(self._db_task.data.size)}
+        else:
+            self._frame_info = {db_image.frame: {
+                "path": db_image.path,
+                "width": db_image.width,
+                "height": db_image.height,
+            } for db_image in self._db_task.data.images.all()}
+
+        self._frame_mapping = {
+            self._get_filename(info["path"]): frame
+            for frame, info in self._frame_info.items()
+        }
 
-class CvatImagesExtractor(datumaro.Extractor):
-    def __init__(self, url, frame_provider):
-        super().__init__()
+    def _init_meta(self):
+        db_segments = self._db_task.segment_set.all().prefetch_related('job_set')
+        self._meta = OrderedDict([
+            ("task", OrderedDict([
+                ("id", str(self._db_task.id)),
+                ("name", self._db_task.name),
+                ("size", str(self._db_task.data.size)),
+                ("mode", self._db_task.mode),
+                ("overlap", str(self._db_task.overlap)),
+                ("bugtracker", self._db_task.bug_tracker),
+                ("created", str(timezone.localtime(self._db_task.created_date))),
+                ("updated", str(timezone.localtime(self._db_task.updated_date))),
+                ("start_frame", str(self._db_task.data.start_frame)),
+                ("stop_frame", str(self._db_task.data.stop_frame)),
+                ("frame_filter", self._db_task.data.frame_filter),
+                ("z_order", str(self._db_task.z_order)),
+
+                ("labels", [
+                    ("label", OrderedDict([
+                        ("name", db_label.name),
+                        ("attributes", [
+                            ("attribute", OrderedDict([
+                                ("name", db_attr.name),
+                                ("mutable", str(db_attr.mutable)),
+                                ("input_type", db_attr.input_type),
+                                ("default_value", db_attr.default_value),
+                                ("values", db_attr.values)]))
+                            for db_attr in db_label.attributespec_set.all()])
+                    ])) for db_label in self._label_mapping.values()
+                ]),
+
+                ("segments", [
+                    ("segment", OrderedDict([
+                        ("id", str(db_segment.id)),
+                        ("start", str(db_segment.start_frame)),
+                        ("stop", str(db_segment.stop_frame)),
+                        ("url", "{}/?id={}".format(
+                            self._host, db_segment.job_set.all()[0].id))]
+                    )) for db_segment in db_segments
+                ]),
+
+                ("owner", OrderedDict([
+                    ("username", self._db_task.owner.username),
+                    ("email", self._db_task.owner.email)
+                ]) if self._db_task.owner else ""),
+
+                ("assignee", OrderedDict([
+                    ("username", self._db_task.assignee.username),
+                    ("email", self._db_task.assignee.email)
+                ]) if self._db_task.assignee else ""),
+            ])),
+            ("dumped", str(timezone.localtime(timezone.now())))
+        ])
+
+        if hasattr(self._db_task.data, "video"):
+            self._meta["task"]["original_size"] = OrderedDict([
+                ("width", str(self._db_task.data.video.width)),
+                ("height", str(self._db_task.data.video.height))
+            ])
+            # Add source to dumped file
+            self._meta["source"] = str(
+                osp.basename(self._db_task.data.video.path))
+
+    def _export_attributes(self, attributes):
+        exported_attributes = []
+        for attr in attributes:
+            attribute_name = self._get_attribute_name(attr["spec_id"])
+            exported_attributes.append(TaskData.Attribute(
+                name=attribute_name,
+                value=attr["value"],
+            ))
+        return exported_attributes
+
+    def _export_tracked_shape(self, shape):
+        return TaskData.TrackedShape(
+            type=shape["type"],
+            frame=self._db_task.data.start_frame +
+                shape["frame"] * self._frame_step,
+            label=self._get_label_name(shape["label_id"]),
+            points=shape["points"],
+            occluded=shape["occluded"],
+            z_order=shape.get("z_order", 0),
+            group=shape.get("group", 0),
+            outside=shape.get("outside", False),
+            keyframe=shape.get("keyframe", True),
+            track_id=shape["track_id"],
+            attributes=self._export_attributes(shape["attributes"]),
+        )
 
-        self._frame_provider = frame_provider
-        self._subsets = None
+    def _export_labeled_shape(self, shape):
+        return TaskData.LabeledShape(
+            type=shape["type"],
+            label=self._get_label_name(shape["label_id"]),
+            frame=self._db_task.data.start_frame +
+                shape["frame"] * self._frame_step,
+            points=shape["points"],
+            occluded=shape["occluded"],
+            z_order=shape.get("z_order", 0),
+            group=shape.get("group", 0),
+            attributes=self._export_attributes(shape["attributes"]),
+        )
 
-    def __iter__(self):
-        frames = self._frame_provider.get_frames(
-            self._frame_provider.Quality.ORIGINAL,
-            self._frame_provider.Type.NUMPY_ARRAY)
-        for item_id, (image, _) in enumerate(frames):
-            yield datumaro.DatasetItem(
-                id=item_id,
-                image=Image(image),
+    def _export_tag(self, tag):
+        return TaskData.Tag(
+            frame=self._db_task.data.start_frame +
+                tag["frame"] * self._frame_step,
+            label=self._get_label_name(tag["label_id"]),
+            group=tag.get("group", 0),
+            attributes=self._export_attributes(tag["attributes"]),
+        )
+
+    def group_by_frame(self, include_empty=False):
+        frames = {}
+        def get_frame(idx):
+            frame_info = self._frame_info[idx]
+            frame = self._db_task.data.start_frame + idx * self._frame_step
+            if frame not in frames:
+                frames[frame] = TaskData.Frame(
+                    idx=idx,
+                    frame=frame,
+                    name=frame_info['path'],
+                    height=frame_info["height"],
+                    width=frame_info["width"],
+                    labeled_shapes=[],
+                    tags=[],
+                )
+            return frames[frame]
+
+        if include_empty:
+            for idx in self._frame_info:
+                get_frame(idx)
+
+        anno_manager = AnnotationManager(self._annotation_ir)
+        for shape in sorted(anno_manager.to_shapes(self._db_task.data.size),
+                key=lambda shape: shape.get("z_order", 0)):
+            if 'track_id' in shape:
+                exported_shape = self._export_tracked_shape(shape)
+            else:
+                exported_shape = self._export_labeled_shape(shape)
+            get_frame(shape['frame']).labeled_shapes.append(
+                exported_shape)
+
+        for tag in self._annotation_ir.tags:
+            get_frame(tag['frame']).tags.append(self._export_tag(tag))
+
+        return iter(frames.values())
+
+    @property
+    def shapes(self):
+        for shape in self._annotation_ir.shapes:
+            yield self._export_labeled_shape(shape)
+
+    @property
+    def tracks(self):
+        for idx, track in enumerate(self._annotation_ir.tracks):
+            tracked_shapes = TrackManager.get_interpolated_shapes(
+                track, 0, self._db_task.data.size)
+            for tracked_shape in tracked_shapes:
+                tracked_shape["attributes"] += track["attributes"]
+                tracked_shape["track_id"] = idx
+                tracked_shape["group"] = track["group"]
+                tracked_shape["label_id"] = track["label_id"]
+
+            yield TaskData.Track(
+                label=self._get_label_name(track["label_id"]),
+                group=track["group"],
+                shapes=[self._export_tracked_shape(shape)
+                    for shape in tracked_shapes],
             )
 
-    def __len__(self):
-        return len(self._frame_provider)
+    @property
+    def tags(self):
+        for tag in self._annotation_ir.tags:
+            yield self._export_tag(tag)
+
+    @property
+    def meta(self):
+        return self._meta
+
+    def _import_tag(self, tag):
+        _tag = tag._asdict()
+        label_id = self._get_label_id(_tag.pop('label'))
+        _tag['frame'] = (int(_tag['frame']) -
+            self._db_task.data.start_frame) // self._frame_step
+        _tag['label_id'] = label_id
+        _tag['attributes'] = [self._import_attribute(label_id, attrib)
+            for attrib in _tag['attributes']
+            if self._get_attribute_id(label_id, attrib.name)]
+        return _tag
+
+    def _import_attribute(self, label_id, attribute):
+        return {
+            'spec_id': self._get_attribute_id(label_id, attribute.name),
+            'value': attribute.value,
+        }
 
-    def subsets(self):
-        return self._subsets
+    def _import_shape(self, shape):
+        _shape = shape._asdict()
+        label_id = self._get_label_id(_shape.pop('label'))
+        _shape['frame'] = (int(_shape['frame']) -
+            self._db_task.data.start_frame) // self._frame_step
+        _shape['label_id'] = label_id
+        _shape['attributes'] = [self._import_attribute(label_id, attrib)
+            for attrib in _shape['attributes']
+            if self._get_attribute_id(label_id, attrib.name)]
+        return _shape
+
+    def _import_track(self, track):
+        _track = track._asdict()
+        label_id = self._get_label_id(_track.pop('label'))
+        _track['frame'] = (min(int(shape.frame) for shape in _track['shapes']) -
+            self._db_task.data.start_frame) // self._frame_step
+        _track['label_id'] = label_id
+        _track['attributes'] = []
+        _track['shapes'] = [shape._asdict() for shape in _track['shapes']]
+        for shape in _track['shapes']:
+            shape['frame'] = (int(shape['frame']) - \
+                self._db_task.data.start_frame) // self._frame_step
+            _track['attributes'] = [self._import_attribute(label_id, attrib)
+                for attrib in shape['attributes']
+                if self._get_immutable_attribute_id(label_id, attrib.name)]
+            shape['attributes'] = [self._import_attribute(label_id, attrib)
+                for attrib in shape['attributes']
+                if self._get_mutable_attribute_id(label_id, attrib.name)]
+
+        return _track
+
+    def _call_callback(self):
+        if self._len() > self._MAX_ANNO_SIZE:
+            self._create_callback(self._annotation_ir.serialize())
+            self._annotation_ir.reset()
+
+    def add_tag(self, tag):
+        imported_tag = self._import_tag(tag)
+        if imported_tag['label_id']:
+            self._annotation_ir.add_tag(imported_tag)
+            self._call_callback()
+
+    def add_shape(self, shape):
+        imported_shape = self._import_shape(shape)
+        if imported_shape['label_id']:
+            self._annotation_ir.add_shape(imported_shape)
+            self._call_callback()
+
+    def add_track(self, track):
+        imported_track = self._import_track(track)
+        if imported_track['label_id']:
+            self._annotation_ir.add_track(imported_track)
+            self._call_callback()
+
+    @property
+    def data(self):
+        return self._annotation_ir
+
+    def _len(self):
+        track_len = 0
+        for track in self._annotation_ir.tracks:
+            track_len += len(track['shapes'])
+
+        return len(self._annotation_ir.tags) + len(self._annotation_ir.shapes) + track_len
+
+    @property
+    def frame_info(self):
+        return self._frame_info
+
+    @property
+    def frame_step(self):
+        return self._frame_step
+
+    @property
+    def db_task(self):
+        return self._db_task
 
-    def get(self, item_id, subset=None, path=None):
-        if path or subset:
-            raise KeyError()
-        return datumaro.DatasetItem(
-            id=item_id,
-            image=self._frame_provider[item_id].getvalue()
-        )
+    @staticmethod
+    def _get_filename(path):
+        return osp.splitext(osp.basename(path))[0]
+
+    def match_frame(self, filename):
+        # try to match by filename
+        _filename = self._get_filename(filename)
+        if _filename in self._frame_mapping:
+            return self._frame_mapping[_filename]
+
+        raise Exception(
+            "Cannot match filename or determine frame number for {} filename".format(filename))
 
-class CvatAnnotationsExtractor(datumaro.Extractor):
-    def __init__(self, url, cvat_annotations):
-        self._categories = self._load_categories(cvat_annotations)
+class CvatTaskDataExtractor(datumaro.SourceExtractor):
+    def __init__(self, task_data, include_images=False):
+        super().__init__()
+        self._categories = self._load_categories(task_data)
+
+        dm_items = []
 
-        dm_annotations = []
+        if include_images:
+            frame_provider = FrameProvider(task_data.db_task.data)
 
-        for cvat_frame_anno in cvat_annotations.group_by_frame():
-            dm_anno = self._read_cvat_anno(cvat_frame_anno, cvat_annotations)
-            dm_image = Image(path=cvat_frame_anno.name, size=(
-                cvat_frame_anno.height, cvat_frame_anno.width)
+        for frame_data in task_data.group_by_frame(include_empty=include_images):
+            loader = None
+            if include_images:
+                loader = lambda p, i=frame_data.idx: frame_provider.get_frame(i,
+                    quality=frame_provider.Quality.ORIGINAL,
+                    out_type=frame_provider.Type.NUMPY_ARRAY)[0]
+            dm_image = Image(path=frame_data.name, loader=loader,
+                size=(frame_data.height, frame_data.width)
             )
-            dm_item = datumaro.DatasetItem(id=cvat_frame_anno.frame,
+            dm_anno = self._read_cvat_anno(frame_data, task_data)
+            dm_item = datumaro.DatasetItem(id=frame_data.frame,
                 annotations=dm_anno, image=dm_image)
-            dm_annotations.append((dm_item.id, dm_item))
+            dm_items.append(dm_item)
 
-        dm_annotations = sorted(dm_annotations, key=lambda e: int(e[0]))
-        self._items = OrderedDict(dm_annotations)
+        self._items = dm_items
 
     def __iter__(self):
-        for item in self._items.values():
+        for item in self._items:
             yield item
 
     def __len__(self):
         return len(self._items)
 
-    # pylint: disable=no-self-use
-    def subsets(self):
-        return []
-    # pylint: enable=no-self-use
-
     def categories(self):
         return self._categories
 
@@ -95,15 +455,15 @@ def _load_categories(cvat_anno):
 
         return categories
 
-    def _read_cvat_anno(self, cvat_frame_anno, cvat_task_anno):
+    def _read_cvat_anno(self, cvat_frame_anno, task_data):
         item_anno = []
 
         categories = self.categories()
         label_cat = categories[datumaro.AnnotationType.label]
-        map_label = lambda name: label_cat.find(name)[0]
+        def map_label(name): return label_cat.find(name)[0]
         label_attrs = {
             label['name']: label['attributes']
-            for _, label in cvat_task_anno.meta['task']['labels']
+            for _, label in task_data.meta['task']['labels']
         }
 
         def convert_attrs(label, cvat_attrs):
@@ -165,27 +525,18 @@ def convert_attrs(label, cvat_attrs):
 
         return item_anno
 
-class CvatTaskExtractor(CvatAnnotationsExtractor):
-    def __init__(self, url, db_task, user):
-        cvat_annotations = TaskAnnotation(db_task.id, user)
-        with transaction.atomic():
-            cvat_annotations.init_from_db()
-        cvat_annotations = Annotation(cvat_annotations.ir_data, db_task)
-        super().__init__(url, cvat_annotations)
-
-
-def match_frame(item, cvat_task_anno):
-    is_video = cvat_task_anno.meta['task']['mode'] == 'interpolation'
+def match_frame(item, task_data):
+    is_video = task_data.meta['task']['mode'] == 'interpolation'
 
     frame_number = None
     if frame_number is None:
         try:
-            frame_number = cvat_task_anno.match_frame(item.id)
+            frame_number = task_data.match_frame(item.id)
         except Exception:
             pass
     if frame_number is None and item.has_image:
         try:
-            frame_number = cvat_task_anno.match_frame(item.image.filename)
+            frame_number = task_data.match_frame(item.image.filename)
         except Exception:
             pass
     if frame_number is None:
@@ -195,12 +546,12 @@ def match_frame(item, cvat_task_anno):
             pass
     if frame_number is None and is_video and item.id.startswith('frame_'):
         frame_number = int(item.id[len('frame_'):])
-    if not frame_number in cvat_task_anno.frame_info:
+    if not frame_number in task_data.frame_info:
         raise Exception("Could not match item id: '%s' with any task frame" %
             item.id)
     return frame_number
 
-def import_dm_annotations(dm_dataset, cvat_task_anno):
+def import_dm_annotations(dm_dataset, task_data):
     shapes = {
         datumaro.AnnotationType.bbox: ShapeType.RECTANGLE,
         datumaro.AnnotationType.polygon: ShapeType.POLYGON,
@@ -211,11 +562,11 @@ def import_dm_annotations(dm_dataset, cvat_task_anno):
     label_cat = dm_dataset.categories()[datumaro.AnnotationType.label]
 
     for item in dm_dataset:
-        frame_number = match_frame(item, cvat_task_anno)
+        frame_number = match_frame(item, task_data)
 
         # do not store one-item groups
-        group_map = { 0: 0 }
-        group_size = { 0: 0 }
+        group_map = {0: 0}
+        group_size = {0: 0}
         for ann in item.annotations:
             if ann.type in shapes:
                 group = group_map.get(ann.group)
@@ -231,21 +582,21 @@ def import_dm_annotations(dm_dataset, cvat_task_anno):
 
         for ann in item.annotations:
             if ann.type in shapes:
-                cvat_task_anno.add_shape(cvat_task_anno.LabeledShape(
+                task_data.add_shape(task_data.LabeledShape(
                     type=shapes[ann.type],
                     frame=frame_number,
                     label=label_cat.items[ann.label].name,
                     points=ann.points,
                     occluded=ann.attributes.get('occluded') == True,
                     group=group_map.get(ann.group, 0),
-                    attributes=[cvat_task_anno.Attribute(name=n, value=str(v))
+                    attributes=[task_data.Attribute(name=n, value=str(v))
                         for n, v in ann.attributes.items()],
                 ))
             elif ann.type == datumaro.AnnotationType.label:
-                cvat_task_anno.add_tag(cvat_task_anno.Tag(
+                task_data.add_tag(task_data.Tag(
                     frame=frame_number,
                     label=label_cat.items[ann.label].name,
                     group=group_map.get(ann.group, 0),
-                    attributes=[cvat_task_anno.Attribute(name=n, value=str(v))
+                    attributes=[task_data.Attribute(name=n, value=str(v))
                         for n, v in ann.attributes.items()],
                 ))
diff --git a/cvat/apps/dataset_manager/formats/README.md b/cvat/apps/dataset_manager/formats/README.md
new file mode 100644
index 00000000000..56a5dfad50e
--- /dev/null
+++ b/cvat/apps/dataset_manager/formats/README.md
@@ -0,0 +1,753 @@
+<!--lint disable list-item-indent-->
+<!--lint disable list-item-spacing-->
+<!--lint disable emphasis-marker-->
+<!--lint disable maximum-line-length-->
+<!--lint disable list-item-spacing-->
+
+# Dataset and annotation formats
+
+## Contents
+
+- [How to add a format](#how-to-add)
+- [Format descriptions](#formats)
+  - [CVAT](#cvat)
+  - [LabelMe](#labelme)
+  - [MOT](#mot)
+  - [COCO](#coco)
+  - [PASCAL VOC and mask](#voc)
+  - [YOLO](#yolo)
+  - [TF detection API](#tfrecord)
+
+## How to add a new annotation format support<a id="how-to-add"></a>
+
+1. Add a python script to `dataset_manager/formats`
+1. Add an import statement to [registry.py](./registry.py).
+1. Implement some importers and exporters as the format requires.
+
+Each format is supported by an importer and exporter.
+
+It can be a function or a class decorated with
+`importer` or `exporter` from [registry.py](./registry.py). Examples:
+
+``` python
+@importer(name="MyFormat", version="1.0", ext="ZIP")
+def my_importer(file_object, task_data, **options):
+  ...
+
+@importer(name="MyFormat", version="2.0", ext="XML")
+class my_importer(file_object, task_data, **options):
+  def __call__(self, file_object, task_data, **options):
+    ...
+
+@exporter(name="MyFormat", version="1.0", ext="ZIP"):
+def my_exporter(file_object, task_data, **options):
+  ...
+```
+
+Each decorator defines format parameters such as:
+
+- *name*
+
+- *version*
+
+- *file extension*. For the `importer` it can be a comma-separated list.
+  These parameters are combined to produce a visible name. It can be
+  set explicitly by the `display_name` argument.
+
+Importer arguments:
+
+- *file_object* - a file with annotations or dataset
+- *task_data* - an instance of `TaskData` class.
+
+Exporter arguments:
+
+- *file_object* - a file for annotations or dataset
+
+- *task_data* - an instance of `TaskData` class.
+
+- *options* - format-specific options. `save_images` is the option to
+distinguish if dataset or just annotations are requested.
+
+[`TaskData`](../bindings.py) provides many task properties and interfaces
+to add and read task annotations.
+
+Public members:
+
+- **TaskData. Attribute** - class, `namedtuple('Attribute', 'name, value')`
+
+- **TaskData. LabeledShape** - class, `namedtuple('LabeledShape',
+  'type, frame, label, points, occluded, attributes, group, z_order')`
+
+- **TrackedShape** - `namedtuple('TrackedShape',
+  'type, points, occluded, frame, attributes, outside, keyframe, z_order')`
+
+- **Track** - class, `namedtuple('Track', 'label, group, shapes')`
+
+- **Tag** - class, `namedtuple('Tag', 'frame, label, attributes, group')`
+
+- **Frame** - class, `namedtuple('Frame',
+  'frame, name, width, height, labeled_shapes, tags')`
+
+- **TaskData. shapes** - property, an iterator over `LabeledShape` objects
+
+- **TaskData. tracks** - property, an iterator over `Track` objects
+
+- **TaskData. tags** - property, an iterator over `Tag` objects
+
+- **TaskData. meta** - property, a dictionary with task information
+
+- **TaskData. group_by_frame()** - method, returns
+  an iterator over `Frame` objects, which groups annotation objects by frame.
+  Note that `TrackedShape` s will be represented as `LabeledShape` s.
+
+- **TaskData. add_tag(tag)** - method,
+  tag should be an instance of the `Tag` class
+
+- **TaskData. add_shape(shape)** - method,
+  shape should be an instance of the `Shape` class
+
+- **TaskData. add_track(track)** - method,
+  track should be an instance of the `Track` class
+
+Sample exporter code:
+
+``` python
+...
+# dump meta info if necessary
+...
+# iterate over all frames
+for frame_annotation in task_data.group_by_frame():
+  # get frame info
+  image_name = frame_annotation.name
+  image_width = frame_annotation.width
+  image_height = frame_annotation.height
+  # iterate over all shapes on the frame
+  for shape in frame_annotation.labeled_shapes:
+    label = shape.label
+    xtl = shape.points[0]
+    ytl = shape.points[1]
+    xbr = shape.points[2]
+    ybr = shape.points[3]
+    # iterate over shape attributes
+    for attr in shape.attributes:
+      attr_name = attr.name
+      attr_value = attr.value
+...
+# dump annotation code
+file_object.write(...)
+...
+```
+
+Sample importer code:
+
+``` python
+...
+#read file_object
+...
+for parsed_shape in parsed_shapes:
+  shape = task_data.LabeledShape(
+    type="rectangle",
+    points=[0, 0, 100, 100],
+    occluded=False,
+    attributes=[],
+    label="car",
+    outside=False,
+    frame=99,
+  )
+task_data.add_shape(shape)
+```
+
+## Format specifications<a id="formats" />
+
+### CVAT<a id="cvat" />
+
+This is the native CVAT annotation format. It supports all CVAT annotations
+features, so it can be used to make data backups.
+
+- supported annotations: Rectangles, Polygons, Polylines,
+  Points, Cuboids, Tags, Tracks
+
+- attributes are supported
+
+- [Format specification](/cvat/apps/documentation/xml_format.md)
+
+#### CVAT for images dumper
+
+Downloaded file: a ZIP file of the following structure:
+
+``` bash
+taskname.zip/
+├── images/
+|   ├── img1.png
+|   └── img2.jpg
+└── annotations.xml
+```
+
+- tracks are split by frames
+
+#### CVAT for videos dumper
+
+Downloaded file: a ZIP file of the following structure:
+
+``` bash
+taskname.zip/
+├── images/
+|   ├── frame_000000.png
+|   └── frame_000001.png
+└── annotations.xml
+```
+
+- shapes are exported as single-frame tracks
+
+#### CVAT loader
+
+Uploaded file: an XML file or a ZIP file of the structures above
+
+### [Pascal VOC](http://host.robots.ox.ac.uk/pascal/VOC/)<a id="voc" />
+
+- [Format specification](http://host.robots.ox.ac.uk/pascal/VOC/voc2012/devkit_doc.pdf)
+
+- supported annotations:
+
+  - Rectangles (detection and layout tasks)
+  - Tags (action- and classification tasks)
+  - Polygons (segmentation task)
+
+- supported attributes:
+
+  - `occluded`
+  - `truncated` and `difficult` (should be defined for labels as `checkbox` -es)
+  - action attributes (import only, should be defined as `checkbox` -es)
+
+#### Pascal VOC export
+
+Downloaded file: a zip archive of the following structure:
+
+``` bash
+taskname.zip/
+├── JpegImages/
+│   ├── <image_name1>.jpg
+│   ├── <image_name2>.jpg
+│   └── <image_nameN>.jpg
+├── Annotations/
+│   ├── <image_name1>.xml
+│   ├── <image_name2>.xml
+│   └── <image_nameN>.xml
+├── ImageSets/
+│   └── Main/
+│       └── default.txt
+└── labelmap.txt
+
+# labelmap.txt
+# label : color_rgb : 'body' parts : actions
+background:::
+aeroplane:::
+bicycle:::
+bird:::
+```
+
+#### Pascal VOC import
+
+Uploaded file: a zip archive of the structure declared above or the following:
+
+``` bash
+taskname.zip/
+├── <image_name1>.xml
+├── <image_name2>.xml
+└── <image_nameN>.xml
+```
+
+It must be possible for CVAT to match the frame name and file name
+from annotation `.xml` file (the `filename` tag, e. g.
+`<filename>2008_004457.jpg</filename>` ).
+
+There are 2 options:
+
+1. full match between frame name and file name from annotation `.xml`
+   (in cases when task was created from images or image archive).
+
+1. match by frame number. File name should be `<number>.jpg`
+   or `frame_000000.jpg`. It should be used when task was created from video.
+
+#### Segmentation mask export
+
+Downloaded file: a zip archive of the following structure:
+
+``` bash
+taskname.zip/
+├── labelmap.txt # optional, required for non-VOC labels
+├── ImageSets/
+│   └── Segmentation/
+│       └── default.txt # list of image names without extension
+├── SegmentationClass/ # merged class masks
+│   ├── image1.png
+│   └── image2.png
+└── SegmentationObject/ # merged instance masks
+    ├── image1.png
+    └── image2.png
+
+# labelmap.txt
+# label : color (RGB) : 'body' parts : actions
+background:0,128,0::
+aeroplane:10,10,128::
+bicycle:10,128,0::
+bird:0,108,128::
+boat:108,0,100::
+bottle:18,0,8::
+bus:12,28,0::
+```
+
+Mask is a `png` image with 1 or 3 channels where each pixel
+has own color which corresponds to a label.
+Colors are generated following to Pascal VOC [algorithm](http://host.robots.ox.ac.uk/pascal/VOC/voc2012/htmldoc/devkit_doc.html#sec:voclabelcolormap).
+`(0, 0, 0)` is used for background by default.
+
+- supported shapes: Rectangles, Polygons
+
+#### Segmentation mask import
+
+Uploaded file: a zip archive of the following structure:
+
+``` bash
+  taskname.zip/
+  ├── labelmap.txt # optional, required for non-VOC labels
+  ├── ImageSets/
+  │   └── Segmentation/
+  │       └── <any_subset_name>.txt
+  ├── SegmentationClass/
+  │   ├── image1.png
+  │   └── image2.png
+  └── SegmentationObject/
+      ├── image1.png
+      └── image2.png
+  ```
+
+- supported shapes: Polygons
+
+#### How to create a task from Pascal VOC dataset
+
+1. Download the Pascal Voc dataset (Can be downloaded from the
+   [PASCAL VOC website](http://host.robots.ox.ac.uk/pascal/VOC/))
+
+1. Create a CVAT task with the following labels:
+
+   ``` bash
+   aeroplane bicycle bird boat bottle bus car cat chair cow diningtable
+   dog horse motorbike person pottedplant sheep sofa train tvmonitor
+   ```
+
+   You can add `~checkbox=difficult:false ~checkbox=truncated:false`
+   attributes for each label if you want to use them.
+
+   Select interesting image files (See [Creating an annotation task](cvat/apps/documentation/user_guide.md#creating-an-annotation-task) guide for details)
+
+1. zip the corresponding annotation files
+
+1. click `Upload annotation` button, choose `Pascal VOC ZIP 1.1`
+
+   and select the zip file with annotations from previous step.
+   It may take some time.
+
+### [YOLO](https://pjreddie.com/darknet/yolo/)<a id="yolo" />
+
+- [Format specification](https://github.com/AlexeyAB/darknet#how-to-train-to-detect-your-custom-objects)
+- supported annotations: Rectangles
+
+#### YOLO export
+
+Downloaded file: a zip archive with following structure:
+
+``` bash
+archive.zip/
+├── obj.data
+├── obj.names
+├── obj_<subset>_data
+│   ├── image1.txt
+│   └── image2.txt
+└── train.txt # list of subset image paths
+
+# the only valid subsets are: train, valid
+# train.txt and valid.txt:
+obj_<subset>_data/image1.jpg
+obj_<subset>_data/image2.jpg
+
+# obj.data:
+classes = 3 # optional
+names = obj.names
+train = train.txt
+valid = valid.txt # optional
+backup = backup/ # optional
+
+# obj.names:
+cat
+dog
+airplane
+
+# image_name.txt:
+# label_id - id from obj.names
+# cx, cy - relative coordinates of the bbox center
+# rw, rh - relative size of the bbox
+# label_id cx cy rw rh
+1 0.3 0.8 0.1 0.3
+2 0.7 0.2 0.3 0.1
+```
+
+Each annotation `*.txt` file has a name that corresponds to the name of
+the image file (e. g. `frame_000001.txt` is the annotation
+for the `frame_000001.jpg` image).
+The `*.txt` file structure: each line describes label and bounding box
+in the following format `label_id cx cy w h`.
+`obj.names` contains the ordered list of label names.
+
+#### YOLO import
+
+Uploaded file: a zip archive of the same structure as above
+It must be possible to match the CVAT frame (image name)
+and annotation file name. There are 2 options:
+
+1. full match between image name and name of annotation `*.txt` file
+   (in cases when a task was created from images or archive of images).
+
+1. match by frame number (if CVAT cannot match by name). File name
+   should be in the following format `<number>.jpg` .
+   It should be used when task was created from a video.
+
+#### How to create a task from YOLO formatted dataset (from VOC for example)
+
+1. Follow the official [guide](https://pjreddie.com/darknet/yolo/)(see Training YOLO on VOC section)
+   and prepare the YOLO formatted annotation files.
+
+1. Zip train images
+
+``` bash
+zip images.zip -j -@ < train.txt
+```
+
+1. Create a CVAT task with the following labels:
+
+   ``` bash
+   aeroplane bicycle bird boat bottle bus car cat chair cow diningtable dog
+   horse motorbike person pottedplant sheep sofa train tvmonitor
+   ```
+
+   Select images. zip as data. Most likely you should use `share`
+   functionality because size of images. zip is more than 500Mb.
+   See [Creating an annotation task](cvat/apps/documentation/user_guide.md#creating-an-annotation-task)
+   guide for details.
+
+1. Create `obj.names` with the following content:
+
+   ``` bash
+   aeroplane
+   bicycle
+   bird
+   boat
+   bottle
+   bus
+   car
+   cat
+   chair
+   cow
+   diningtable
+   dog
+   horse
+   motorbike
+   person
+   pottedplant
+   sheep
+   sofa
+   train
+   tvmonitor
+   ```
+
+1. Zip all label files together (we need to add only label files that correspond to the train subset)
+
+   ``` bash
+   cat train.txt | while read p; do echo ${p%/*/*}/labels/${${p##*/}%%.*}.txt; done | zip labels.zip -j -@ obj.names
+   ```
+
+1. Click `Upload annotation` button, choose `YOLO 1.1` and select the zip
+
+   file with labels from the previous step.
+
+### [MS COCO Object Detection](http://cocodataset.org/#format-data)<a id="coco" />
+
+- [Format specification](http://cocodataset.org/#format-data)
+
+#### COCO dumper description
+
+Downloaded file: single unpacked `json`.
+
+- supported annotations: Polygons, Rectangles
+
+#### COCO loader description
+
+Uploaded file: single unpacked `*.json` .
+
+- supported annotations: Polygons, Rectangles (if `segmentation` field is empty)
+
+#### How to create a task from MS COCO dataset
+
+1. Download the [MS COCO dataset](http://cocodataset.org/#download).
+
+   For example [2017 Val images](http://images.cocodataset.org/zips/val2017.zip)
+   and [2017 Train/Val annotations](http://images.cocodataset.org/annotations/annotations_trainval2017.zip).
+
+1. Create a CVAT task with the following labels:
+
+   ``` bash
+   person bicycle car motorcycle airplane bus train truck boat "traffic light" "fire hydrant" "stop sign" "parking meter" bench bird cat dog horse sheep cow elephant bear zebra giraffe backpack umbrella handbag tie suitcase frisbee skis snowboard "sports ball" kite "baseball bat" "baseball glove" skateboard surfboard "tennis racket" bottle "wine glass" cup fork knife spoon bowl banana apple sandwich orange broccoli carrot "hot dog" pizza donut cake chair couch "potted plant" bed "dining table" toilet tv laptop mouse remote keyboard "cell phone" microwave oven toaster sink refrigerator book clock vase scissors "teddy bear" "hair drier" toothbrush
+   ```
+
+1. Select val2017.zip as data
+   (See [Creating an annotation task](cvat/apps/documentation/user_guide.md#creating-an-annotation-task)
+   guide for details)
+
+1. Unpack `annotations_trainval2017.zip`
+
+1. click `Upload annotation` button,
+   choose `COCO 1.1` and select `instances_val2017.json.json`
+   annotation file. It can take some time.
+
+### [TFRecord](https://www.tensorflow.org/tutorials/load_data/tf_records)<a id="tfrecord" />
+
+TFRecord is a very flexible format, but we try to correspond the
+format that used in
+[TF object detection](https://github.com/tensorflow/models/tree/master/research/object_detection)
+with minimal modifications.
+
+Used feature description:
+
+``` python
+image_feature_description = {
+    'image/filename': tf.io.FixedLenFeature([], tf.string),
+    'image/source_id': tf.io.FixedLenFeature([], tf.string),
+    'image/height': tf.io.FixedLenFeature([], tf.int64),
+    'image/width': tf.io.FixedLenFeature([], tf.int64),
+    # Object boxes and classes.
+    'image/object/bbox/xmin': tf.io.VarLenFeature(tf.float32),
+    'image/object/bbox/xmax': tf.io.VarLenFeature(tf.float32),
+    'image/object/bbox/ymin': tf.io.VarLenFeature(tf.float32),
+    'image/object/bbox/ymax': tf.io.VarLenFeature(tf.float32),
+    'image/object/class/label': tf.io.VarLenFeature(tf.int64),
+    'image/object/class/text': tf.io.VarLenFeature(tf.string),
+}
+```
+
+#### TFRecord dumper description
+
+Downloaded file: a zip archive with following structure:
+
+``` bash
+taskname.zip/
+├── task2.tfrecord
+└── label_map.pbtxt
+```
+
+- supported annotations: Rectangles
+
+#### TFRecord loader description
+
+Uploaded file: a zip archive of following structure:
+
+``` bash
+taskname.zip/
+└── task2.tfrecord
+```
+
+- supported annotations: Rectangles
+
+#### How to create a task from TFRecord dataset (from VOC2007 for example)
+
+1. Create `label_map.pbtxt` file with the following content:
+
+``` js
+item {
+    id: 1
+    name: 'aeroplane'
+}
+item {
+    id: 2
+    name: 'bicycle'
+}
+item {
+    id: 3
+    name: 'bird'
+}
+item {
+    id: 4
+    name: 'boat'
+}
+item {
+    id: 5
+    name: 'bottle'
+}
+item {
+    id: 6
+    name: 'bus'
+}
+item {
+    id: 7
+    name: 'car'
+}
+item {
+    id: 8
+    name: 'cat'
+}
+item {
+    id: 9
+    name: 'chair'
+}
+item {
+    id: 10
+    name: 'cow'
+}
+item {
+    id: 11
+    name: 'diningtable'
+}
+item {
+    id: 12
+    name: 'dog'
+}
+item {
+    id: 13
+    name: 'horse'
+}
+item {
+    id: 14
+    name: 'motorbike'
+}
+item {
+    id: 15
+    name: 'person'
+}
+item {
+    id: 16
+    name: 'pottedplant'
+}
+item {
+    id: 17
+    name: 'sheep'
+}
+item {
+    id: 18
+    name: 'sofa'
+}
+item {
+    id: 19
+    name: 'train'
+}
+item {
+    id: 20
+    name: 'tvmonitor'
+}
+```
+
+1. Use [create_pascal_tf_record.py](https://github.com/tensorflow/models/blob/master/research/object_detection/dataset_tools/create_pascal_tf_record.py)
+
+to convert VOC2007 dataset to TFRecord format.
+As example:
+
+``` bash
+python create_pascal_tf_record.py --data_dir <path to VOCdevkit> --set train --year VOC2007 --output_path pascal.tfrecord --label_map_path label_map.pbtxt
+```
+
+1. Zip train images
+
+   ``` bash
+   cat <path to VOCdevkit>/VOC2007/ImageSets/Main/train.txt | while read p; do echo <path to VOCdevkit>/VOC2007/JPEGImages/${p}.jpg  ; done | zip images.zip -j -@
+   ```
+
+1. Create a CVAT task with the following labels:
+
+   ``` bash
+   aeroplane bicycle bird boat bottle bus car cat chair cow diningtable dog horse motorbike person pottedplant sheep sofa train tvmonitor
+   ```
+
+   Select images. zip as data.
+   See [Creating an annotation task](cvat/apps/documentation/user_guide.md#creating-an-annotation-task)
+   guide for details.
+
+1. Zip `pascal.tfrecord` and `label_map.pbtxt` files together
+
+   ``` bash
+   zip anno.zip -j <path to pascal.tfrecord> <path to label_map.pbtxt>
+   ```
+
+1. Click `Upload annotation` button, choose `TFRecord 1.0` and select the zip file
+
+   with labels from the previous step. It may take some time.
+
+### [MOT sequence](https://arxiv.org/pdf/1906.04567.pdf)<a id="mot" />
+
+#### MOT Dumper
+
+Downloaded file: a zip archive of the following structure:
+
+``` bash
+taskname.zip/
+├── img1/
+|   ├── imgage1.jpg
+|   └── imgage2.jpg
+└── gt/
+    ├── labels.txt
+    └── gt.txt
+
+# labels.txt
+cat
+dog
+person
+...
+
+# gt.txt
+# frame_id, track_id, x, y, w, h, "not ignored", class_id, visibility, <skipped>
+1,1,1363,569,103,241,1,1,0.86014
+...
+
+```
+
+- supported annotations: Rectangle shapes and tracks
+- supported attributes: `visibility` (number), `ignored` (checkbox)
+
+#### MOT Loader
+
+Uploaded file: a zip archive of the structure above or:
+
+``` bash
+taskname.zip/
+├── labels.txt # optional, mandatory for non-official labels
+└── gt.txt
+```
+
+- supported annotations: Rectangle tracks
+
+### [LabelMe](http://labelme.csail.mit.edu/Release3.0)<a id="labelme" />
+
+#### LabelMe Dumper
+
+Downloaded file: a zip archive of the following structure:
+
+``` bash
+taskname.zip/
+├── img1.jpg
+└── img1.xml
+```
+
+- supported annotations: Rectangles, Polygons (with attributes)
+
+#### LabelMe Loader
+
+Uploaded file: a zip archive of the following structure:
+
+``` bash
+taskname.zip/
+├── Masks/
+|   ├── img1_mask1.png
+|   └── img1_mask2.png
+├── img1.xml
+├── img2.xml
+└── img3.xml
+```
+
+- supported annotations: Rectangles, Polygons, Masks (as polygons)
diff --git a/cvat/apps/dataset_manager/formats/__init__.py b/cvat/apps/dataset_manager/formats/__init__.py
deleted file mode 100644
index e69de29bb2d..00000000000
diff --git a/cvat/apps/dataset_manager/formats/coco.py b/cvat/apps/dataset_manager/formats/coco.py
index fe323b645db..41d6343a3dc 100644
--- a/cvat/apps/dataset_manager/formats/coco.py
+++ b/cvat/apps/dataset_manager/formats/coco.py
@@ -2,52 +2,36 @@
 #
 # SPDX-License-Identifier: MIT
 
-format_spec = {
-    "name": "COCO",
-    "dumpers": [
-        {
-            "display_name": "{name} {format} {version}",
-            "format": "JSON",
-            "version": "1.0",
-            "handler": "dump"
-        },
-    ],
-    "loaders": [
-        {
-            "display_name": "{name} {format} {version}",
-            "format": "JSON",
-            "version": "1.0",
-            "handler": "load"
-        },
-    ],
-}
-
-def load(file_object, annotations):
-    from datumaro.plugins.coco_format.extractor import CocoInstancesExtractor
-    from cvat.apps.dataset_manager.bindings import import_dm_annotations
-
-    dm_dataset = CocoInstancesExtractor(file_object.name)
-    import_dm_annotations(dm_dataset, annotations)
-
-from datumaro.plugins.coco_format.converter import \
-    CocoInstancesConverter as _CocoInstancesConverter
-class CvatCocoConverter(_CocoInstancesConverter):
-    NAME = 'cvat_coco'
-
-def dump(file_object, annotations):
-    import os.path as osp
-    import shutil
-    from cvat.apps.dataset_manager.bindings import CvatAnnotationsExtractor
-    from tempfile import TemporaryDirectory
-
-    extractor = CvatAnnotationsExtractor('', annotations)
-    converter = CvatCocoConverter()
+import zipfile
+from tempfile import TemporaryDirectory
+
+from datumaro.components.project import Dataset
+from cvat.apps.dataset_manager.bindings import CvatTaskDataExtractor, \
+    import_dm_annotations
+from cvat.apps.dataset_manager.util import make_zip_archive
+
+from .registry import dm_env, exporter, importer
+
+
+@exporter(name='COCO', ext='ZIP', version='1.0')
+def _export(dst_file, task_data, save_images=False):
+    extractor = CvatTaskDataExtractor(task_data, include_images=save_images)
+    extractor = Dataset.from_extractors(extractor) # apply lazy transforms
     with TemporaryDirectory() as temp_dir:
+        converter = dm_env.make_converter('coco_instances',
+            save_images=save_images)
         converter(extractor, save_dir=temp_dir)
 
-        # HACK: file_object should not be used this way, however,
-        # it is the most efficient way. The correct approach would be to copy
-        # file contents.
-        file_object.close()
-        shutil.move(osp.join(temp_dir, 'annotations', 'instances_default.json'),
-            file_object.name)
\ No newline at end of file
+        make_zip_archive(temp_dir, dst_file)
+
+@importer(name='COCO', ext='JSON, ZIP', version='1.0')
+def _import(src_file, task_data):
+    if zipfile.is_zipfile(src_file):
+        with TemporaryDirectory() as tmp_dir:
+            zipfile.ZipFile(src_file).extractall(tmp_dir)
+
+            dataset = dm_env.make_importer('coco')(tmp_dir).make_dataset()
+            import_dm_annotations(dataset, task_data)
+    else:
+        dataset = dm_env.make_extractor('coco_instances', src_file.name)
+        import_dm_annotations(dataset, task_data)
\ No newline at end of file
diff --git a/cvat/apps/dataset_manager/formats/cvat.py b/cvat/apps/dataset_manager/formats/cvat.py
index 4e89f2a437c..e2fa3d80c22 100644
--- a/cvat/apps/dataset_manager/formats/cvat.py
+++ b/cvat/apps/dataset_manager/formats/cvat.py
@@ -2,31 +2,19 @@
 #
 # SPDX-License-Identifier: MIT
 
-format_spec = {
-    "name": "CVAT",
-    "dumpers": [
-        {
-            "display_name": "{name} {format} {version} for videos",
-            "format": "XML",
-            "version": "1.1",
-            "handler": "dump_as_cvat_interpolation"
-        },
-        {
-            "display_name": "{name} {format} {version} for images",
-            "format": "XML",
-            "version": "1.1",
-            "handler": "dump_as_cvat_annotation"
-        }
-    ],
-    "loaders": [
-        {
-            "display_name": "{name} {format} {version}",
-            "format": "XML",
-            "version": "1.1",
-            "handler": "load",
-        }
-    ],
-}
+import os
+import os.path as osp
+import zipfile
+from collections import OrderedDict
+from glob import glob
+from tempfile import TemporaryDirectory
+
+from cvat.apps.dataset_manager.util import make_zip_archive
+from cvat.apps.engine.frame_provider import FrameProvider
+from datumaro.util.image import save_image
+
+from .registry import exporter, importer
+
 
 def pairwise(iterable):
     a = iter(iterable)
@@ -34,7 +22,6 @@ def pairwise(iterable):
 
 def create_xml_dumper(file_object):
     from xml.sax.saxutils import XMLGenerator
-    from collections import OrderedDict
     class XmlAnnotationWriter:
         def __init__(self, file):
             self.version = "1.1"
@@ -184,7 +171,6 @@ def close_root(self):
     return XmlAnnotationWriter(file_object)
 
 def dump_as_cvat_annotation(file_object, annotations):
-    from collections import OrderedDict
     dumper = create_xml_dumper(file_object)
     dumper.open_root()
     dumper.add_meta(annotations.meta)
@@ -298,7 +284,6 @@ def dump_as_cvat_annotation(file_object, annotations):
     dumper.close_root()
 
 def dump_as_cvat_interpolation(file_object, annotations):
-    from collections import OrderedDict
     dumper = create_xml_dumper(file_object)
     dumper.open_root()
     dumper.add_meta(annotations.meta)
@@ -425,8 +410,8 @@ def dump_track(idx, track):
     dumper.close_root()
 
 def load(file_object, annotations):
-    import xml.etree.ElementTree as et
-    context = et.iterparse(file_object, events=("start", "end"))
+    from defusedxml import ElementTree
+    context = ElementTree.iterparse(file_object, events=("start", "end"))
     context = iter(context)
     ev, _ = next(context)
 
@@ -525,3 +510,50 @@ def load(file_object, annotations):
                 annotations.add_tag(annotations.Tag(**tag))
                 tag = None
             el.clear()
+
+def _export(dst_file, task_data, anno_callback, save_images=False):
+    with TemporaryDirectory() as temp_dir:
+        with open(osp.join(temp_dir, 'annotations.xml'), 'wb') as f:
+            anno_callback(f, task_data)
+
+        if save_images:
+            img_dir = osp.join(temp_dir, 'images')
+            os.makedirs(img_dir)
+            frame_provider = FrameProvider(task_data.db_task.data)
+            frames = frame_provider.get_frames(
+                frame_provider.Quality.ORIGINAL,
+                frame_provider.Type.NUMPY_ARRAY)
+            for frame_id, (frame_data, _) in enumerate(frames):
+                frame_name = task_data.frame_info[frame_id]['path']
+                if '.' in frame_name:
+                    save_image(osp.join(img_dir, frame_name),
+                        frame_data, jpeg_quality=100)
+                else:
+                    save_image(osp.join(img_dir, frame_name + '.png'),
+                        frame_data)
+
+        make_zip_archive(temp_dir, dst_file)
+
+@exporter(name='CVAT for video', ext='ZIP', version='1.1')
+def _export_video(dst_file, task_data, save_images=False):
+    _export(dst_file, task_data,
+        anno_callback=dump_as_cvat_interpolation, save_images=save_images)
+
+@exporter(name='CVAT for images', ext='ZIP', version='1.1')
+def _export_images(dst_file, task_data, save_images=False):
+    _export(dst_file, task_data,
+        anno_callback=dump_as_cvat_annotation, save_images=save_images)
+
+@importer(name='CVAT', ext='XML, ZIP', version='1.1')
+def _import(src_file, task_data):
+    is_zip = zipfile.is_zipfile(src_file)
+    src_file.seek(0)
+    if is_zip:
+        with TemporaryDirectory() as tmp_dir:
+            zipfile.ZipFile(src_file).extractall(tmp_dir)
+
+            anno_paths = glob(osp.join(tmp_dir, '**', '*.xml'), recursive=True)
+            for p in anno_paths:
+                load(p, task_data)
+    else:
+        load(src_file, task_data)
\ No newline at end of file
diff --git a/cvat/apps/dataset_manager/formats/datumaro/__init__.py b/cvat/apps/dataset_manager/formats/datumaro/__init__.py
new file mode 100644
index 00000000000..59c423d0716
--- /dev/null
+++ b/cvat/apps/dataset_manager/formats/datumaro/__init__.py
@@ -0,0 +1,99 @@
+# Copyright (C) 2019 Intel Corporation
+#
+# SPDX-License-Identifier: MIT
+
+import json
+import os
+import os.path as osp
+import shutil
+from tempfile import TemporaryDirectory
+
+from cvat.apps.dataset_manager.bindings import (CvatTaskDataExtractor,
+    import_dm_annotations)
+from cvat.apps.dataset_manager.util import make_zip_archive
+from cvat.settings.base import BASE_DIR, DATUMARO_PATH
+from datumaro.components.project import Project
+
+from ..registry import dm_env, exporter
+
+
+@exporter(name="Datumaro", ext="ZIP", version="1.0")
+class DatumaroProjectExporter:
+    _REMOTE_IMAGES_EXTRACTOR = 'cvat_rest_api_task_images'
+    _TEMPLATES_DIR = osp.join(osp.dirname(__file__), 'export_templates')
+
+    @staticmethod
+    def _save_image_info(save_dir, task_data):
+        os.makedirs(save_dir, exist_ok=True)
+
+        config = {
+            'server_url': task_data._host or 'localhost',
+            'task_id': task_data.db_task.id,
+        }
+
+        images = []
+        images_meta = { 'images': images, }
+        for frame_id, frame in task_data.frame_info.items():
+            images.append({
+                'id': frame_id,
+                'name': osp.basename(frame['path']),
+                'width': frame['width'],
+                'height': frame['height'],
+            })
+
+        with open(osp.join(save_dir, 'config.json'), 'w') as config_file:
+            json.dump(config, config_file)
+        with open(osp.join(save_dir, 'images_meta.json'), 'w') as images_file:
+            json.dump(images_meta, images_file)
+
+    def _export(self, task_data, save_dir, save_images=False):
+        dataset = CvatTaskDataExtractor(task_data, include_images=save_images)
+        converter = dm_env.make_converter('datumaro_project',
+            save_images=save_images,
+            config={ 'project_name': task_data.db_task.name, }
+        )
+        converter(dataset, save_dir=save_dir)
+
+        project = Project.load(save_dir)
+        target_dir = project.config.project_dir
+        os.makedirs(target_dir, exist_ok=True)
+        shutil.copyfile(
+            osp.join(self._TEMPLATES_DIR, 'README.md'),
+            osp.join(target_dir, 'README.md'))
+
+        if not save_images:
+            # add remote links to images
+            source_name = 'task_%s_images' % task_data.db_task.id
+            project.add_source(source_name, {
+                'format': self._REMOTE_IMAGES_EXTRACTOR,
+            })
+            self._save_image_info(
+                osp.join(save_dir, project.local_source_dir(source_name)),
+                task_data)
+            project.save()
+
+            templates_dir = osp.join(self._TEMPLATES_DIR, 'plugins')
+            target_dir = osp.join(project.config.project_dir,
+                project.config.env_dir, project.config.plugins_dir)
+            os.makedirs(target_dir, exist_ok=True)
+            shutil.copyfile(
+                osp.join(templates_dir, self._REMOTE_IMAGES_EXTRACTOR + '.py'),
+                osp.join(target_dir, self._REMOTE_IMAGES_EXTRACTOR + '.py'))
+
+        # Make Datumaro and CVAT CLI modules available to the user
+        shutil.copytree(DATUMARO_PATH, osp.join(save_dir, 'datumaro'),
+            ignore=lambda src, names: ['__pycache__'] + [
+                n for n in names
+                if sum([int(n.endswith(ext)) for ext in
+                        ['.pyx', '.pyo', '.pyd', '.pyc']])
+            ])
+
+        cvat_utils_dst_dir = osp.join(save_dir, 'cvat', 'utils')
+        os.makedirs(cvat_utils_dst_dir)
+        shutil.copytree(osp.join(BASE_DIR, 'utils', 'cli'),
+            osp.join(cvat_utils_dst_dir, 'cli'))
+
+    def __call__(self, dst_file, task_data, save_images=False):
+        with TemporaryDirectory() as temp_dir:
+            self._export(task_data, save_dir=temp_dir, save_images=save_images)
+            make_zip_archive(temp_dir, dst_file)
diff --git a/cvat/apps/dataset_manager/export_templates/README.md b/cvat/apps/dataset_manager/formats/datumaro/export_templates/README.md
similarity index 100%
rename from cvat/apps/dataset_manager/export_templates/README.md
rename to cvat/apps/dataset_manager/formats/datumaro/export_templates/README.md
diff --git a/cvat/apps/dataset_manager/export_templates/plugins/cvat_rest_api_task_images.py b/cvat/apps/dataset_manager/formats/datumaro/export_templates/plugins/cvat_rest_api_task_images.py
similarity index 71%
rename from cvat/apps/dataset_manager/export_templates/plugins/cvat_rest_api_task_images.py
rename to cvat/apps/dataset_manager/formats/datumaro/export_templates/plugins/cvat_rest_api_task_images.py
index a4e92f8cd59..b54cce3fbd3 100644
--- a/cvat/apps/dataset_manager/export_templates/plugins/cvat_rest_api_task_images.py
+++ b/cvat/apps/dataset_manager/formats/datumaro/export_templates/plugins/cvat_rest_api_task_images.py
@@ -1,34 +1,28 @@
 
-# Copyright (C) 2019-2020 Intel Corporation
+# Copyright (C) 2020 Intel Corporation
 #
 # SPDX-License-Identifier: MIT
 
-from collections import OrderedDict
 import getpass
 import json
-import os, os.path as osp
-import requests
-
-from datumaro.components.config import (Config,
-    SchemaBuilder as _SchemaBuilder,
-)
-import datumaro.components.extractor as datumaro
-from datumaro.util.image import lazy_image, load_image, Image
+import os
+import os.path as osp
+from collections import OrderedDict
 
-from cvat.utils.cli.core import CLI as CVAT_CLI, CVAT_API_V1
+import requests
 
+from cvat.utils.cli.core import CLI as CVAT_CLI
+from cvat.utils.cli.core import CVAT_API_V1
+from datumaro.components.config import Config, SchemaBuilder
+from datumaro.components.extractor import SourceExtractor, DatasetItem
+from datumaro.util.image import Image, lazy_image, load_image
 
-CONFIG_SCHEMA = _SchemaBuilder() \
+CONFIG_SCHEMA = SchemaBuilder() \
     .add('task_id', int) \
-    .add('server_host', str) \
-    .add('server_port', int) \
+    .add('server_url', str) \
     .build()
 
-DEFAULT_CONFIG = Config({
-    'server_port': 80
-}, schema=CONFIG_SCHEMA, mutable=False)
-
-class cvat_rest_api_task_images(datumaro.SourceExtractor):
+class cvat_rest_api_task_images(SourceExtractor):
     def _image_local_path(self, item_id):
         task_id = self._config.task_id
         return osp.join(self._cache_dir,
@@ -53,16 +47,15 @@ def _connect(self):
 
         session = None
         try:
-            print("Enter credentials for '%s:%s' to read task data:" % \
-                (self._config.server_host, self._config.server_port))
+            print("Enter credentials for '%s' to read task data:" % \
+                (self._config.server_url))
             username = input('User: ')
             password = getpass.getpass()
 
             session = requests.Session()
             session.auth = (username, password)
 
-            api = CVAT_API_V1(self._config.server_host,
-                self._config.server_port)
+            api = CVAT_API_V1(self._config.server_url)
             cli = CVAT_CLI(session, api)
 
             self._session = session
@@ -92,8 +85,7 @@ def __init__(self, url):
 
         with open(osp.join(url, 'config.json'), 'r') as config_file:
             config = json.load(config_file)
-            config = Config(config,
-                fallback=DEFAULT_CONFIG, schema=CONFIG_SCHEMA)
+            config = Config(config, schema=CONFIG_SCHEMA)
         self._config = config
 
         with open(osp.join(url, 'images_meta.json'), 'r') as images_file:
@@ -109,7 +101,7 @@ def __init__(self, url):
                 size = (entry['height'], entry['width'])
             image = Image(data=self._make_image_loader(item_id),
                 path=item_filename, size=size)
-            item = datumaro.DatasetItem(id=item_id, image=image)
+            item = DatasetItem(id=item_id, image=image)
             items.append((item.id, item))
 
         items = sorted(items, key=lambda e: int(e[0]))
@@ -125,12 +117,3 @@ def __iter__(self):
 
     def __len__(self):
         return len(self._items)
-
-    # pylint: disable=no-self-use
-    def subsets(self):
-        return None
-
-    def get(self, item_id, subset=None, path=None):
-        if path or subset:
-            raise KeyError()
-        return self._items[item_id]
diff --git a/cvat/apps/dataset_manager/formats/labelme.py b/cvat/apps/dataset_manager/formats/labelme.py
index 8cc0d880cc1..9ea1a76b800 100644
--- a/cvat/apps/dataset_manager/formats/labelme.py
+++ b/cvat/apps/dataset_manager/formats/labelme.py
@@ -2,67 +2,36 @@
 #
 # SPDX-License-Identifier: MIT
 
-format_spec = {
-    "name": "LabelMe",
-    "dumpers": [
-        {
-            "display_name": "{name} {format} {version}",
-            "format": "ZIP",
-            "version": "3.0",
-            "handler": "dump"
-        }
-    ],
-    "loaders": [
-        {
-            "display_name": "{name} {format} {version}",
-            "format": "ZIP",
-            "version": "3.0",
-            "handler": "load",
-        }
-    ],
-}
+from tempfile import TemporaryDirectory
 
+from pyunpack import Archive
 
-from datumaro.components.converter import Converter
-class CvatLabelMeConverter(Converter):
-    def __init__(self, save_images=False):
-        self._save_images = save_images
+from cvat.apps.dataset_manager.bindings import (CvatTaskDataExtractor,
+    import_dm_annotations)
+from cvat.apps.dataset_manager.util import make_zip_archive
+from datumaro.components.project import Dataset
 
-    def __call__(self, extractor, save_dir):
-        from datumaro.components.project import Environment, Dataset
+from .registry import dm_env, exporter, importer
 
-        env = Environment()
-        id_from_image = env.transforms.get('id_from_image_name')
 
-        extractor = extractor.transform(id_from_image)
-        extractor = Dataset.from_extractors(extractor) # apply lazy transforms
-
-        converter = env.make_converter('label_me', save_images=self._save_images)
-        converter(extractor, save_dir=save_dir)
-
-def dump(file_object, annotations):
-    from cvat.apps.dataset_manager.bindings import CvatAnnotationsExtractor
-    from cvat.apps.dataset_manager.util import make_zip_archive
-    from tempfile import TemporaryDirectory
-
-    extractor = CvatAnnotationsExtractor('', annotations)
-    converter = CvatLabelMeConverter()
+@exporter(name='LabelMe', ext='ZIP', version='3.0')
+def _export(dst_file, task_data, save_images=False):
+    extractor = CvatTaskDataExtractor(task_data, include_images=save_images)
+    envt = dm_env.transforms
+    extractor = extractor.transform(envt.get('id_from_image_name'))
+    extractor = Dataset.from_extractors(extractor) # apply lazy transforms
     with TemporaryDirectory() as temp_dir:
+        converter = dm_env.make_converter('label_me', save_images=save_images)
         converter(extractor, save_dir=temp_dir)
-        make_zip_archive(temp_dir, file_object)
 
-def load(file_object, annotations):
-    from pyunpack import Archive
-    from tempfile import TemporaryDirectory
-    from datumaro.plugins.labelme_format import LabelMeImporter
-    from datumaro.components.project import Environment
-    from cvat.apps.dataset_manager.bindings import import_dm_annotations
+        make_zip_archive(temp_dir, dst_file)
 
-    archive_file = file_object if isinstance(file_object, str) else getattr(file_object, "name")
+@importer(name='LabelMe', ext='ZIP', version='3.0')
+def _import(src_file, task_data):
     with TemporaryDirectory() as tmp_dir:
-        Archive(archive_file).extractall(tmp_dir)
+        Archive(src_file.name).extractall(tmp_dir)
 
-        dm_dataset = LabelMeImporter()(tmp_dir).make_dataset()
-        masks_to_polygons = Environment().transforms.get('masks_to_polygons')
-        dm_dataset = dm_dataset.transform(masks_to_polygons)
-        import_dm_annotations(dm_dataset, annotations)
+        dataset = dm_env.make_importer('label_me')(tmp_dir).make_dataset()
+        masks_to_polygons = dm_env.transforms.get('masks_to_polygons')
+        dataset = dataset.transform(masks_to_polygons)
+        import_dm_annotations(dataset, task_data)
diff --git a/cvat/apps/dataset_manager/formats/mask.py b/cvat/apps/dataset_manager/formats/mask.py
index c18553b3265..492fed38aae 100644
--- a/cvat/apps/dataset_manager/formats/mask.py
+++ b/cvat/apps/dataset_manager/formats/mask.py
@@ -2,75 +2,40 @@
 #
 # SPDX-License-Identifier: MIT
 
-format_spec = {
-    "name": "MASK",
-    "dumpers": [
-        {
-            "display_name": "{name} {format} {version}",
-            "format": "ZIP",
-            "version": "1.1",
-            "handler": "dump",
-        },
-    ],
-    "loaders": [
-        {
-            "display_name": "{name} {format} {version}",
-            "format": "ZIP",
-            "version": "1.1",
-            "handler": "load",
-        },
-    ],
-}
+from tempfile import TemporaryDirectory
 
-from datumaro.components.converter import Converter
-class CvatMaskConverter(Converter):
-    def __init__(self, save_images=False):
-        self._save_images = save_images
+from pyunpack import Archive
 
-    def __call__(self, extractor, save_dir):
-        from datumaro.components.project import Environment, Dataset
+from cvat.apps.dataset_manager.bindings import (CvatTaskDataExtractor,
+    import_dm_annotations)
+from cvat.apps.dataset_manager.util import make_zip_archive
+from datumaro.components.project import Dataset
 
-        env = Environment()
-        polygons_to_masks = env.transforms.get('polygons_to_masks')
-        boxes_to_masks = env.transforms.get('boxes_to_masks')
-        merge_instance_segments = env.transforms.get('merge_instance_segments')
-        id_from_image = env.transforms.get('id_from_image_name')
+from .registry import dm_env, exporter, importer
 
-        extractor = extractor.transform(polygons_to_masks)
-        extractor = extractor.transform(boxes_to_masks)
-        extractor = extractor.transform(merge_instance_segments)
-        extractor = extractor.transform(id_from_image)
-        extractor = Dataset.from_extractors(extractor) # apply lazy transforms
 
-        converter = env.make_converter('voc_segmentation',
-            apply_colormap=True, label_map='source',
-            save_images=self._save_images)
-        converter(extractor, save_dir=save_dir)
-
-def dump(file_object, annotations):
-    from cvat.apps.dataset_manager.bindings import CvatAnnotationsExtractor
-    from cvat.apps.dataset_manager.util import make_zip_archive
-    from tempfile import TemporaryDirectory
-
-    extractor = CvatAnnotationsExtractor('', annotations)
-    converter = CvatMaskConverter()
+@exporter(name='Segmentation mask', ext='ZIP', version='1.1')
+def _export(dst_file, task_data, save_images=False):
+    extractor = CvatTaskDataExtractor(task_data, include_images=save_images)
+    envt = dm_env.transforms
+    extractor = extractor.transform(envt.get('polygons_to_masks'))
+    extractor = extractor.transform(envt.get('boxes_to_masks'))
+    extractor = extractor.transform(envt.get('merge_instance_segments'))
+    extractor = extractor.transform(envt.get('id_from_image_name'))
+    extractor = Dataset.from_extractors(extractor) # apply lazy transforms
     with TemporaryDirectory() as temp_dir:
+        converter = dm_env.make_converter('voc_segmentation',
+            apply_colormap=True, label_map='source', save_images=save_images)
         converter(extractor, save_dir=temp_dir)
-        make_zip_archive(temp_dir, file_object)
 
-def load(file_object, annotations):
-    from pyunpack import Archive
-    from tempfile import TemporaryDirectory
-    from datumaro.plugins.voc_format.importer import VocImporter
-    from datumaro.components.project import Environment
-    from cvat.apps.dataset_manager.bindings import import_dm_annotations
+        make_zip_archive(temp_dir, dst_file)
 
-    archive_file = file_object if isinstance(file_object, str) else getattr(file_object, "name")
+@importer(name='Segmentation mask', ext='ZIP', version='1.1')
+def _import(src_file, task_data):
     with TemporaryDirectory() as tmp_dir:
-        Archive(archive_file).extractall(tmp_dir)
+        Archive(src_file.name).extractall(tmp_dir)
 
-        dm_project = VocImporter()(tmp_dir)
-        dm_dataset = dm_project.make_dataset()
-        masks_to_polygons = Environment().transforms.get('masks_to_polygons')
-        dm_dataset = dm_dataset.transform(masks_to_polygons)
-        import_dm_annotations(dm_dataset, annotations)
+        dataset = dm_env.make_importer('voc')(tmp_dir).make_dataset()
+        masks_to_polygons = dm_env.transforms.get('masks_to_polygons')
+        dataset = dataset.transform(masks_to_polygons)
+        import_dm_annotations(dataset, task_data)
diff --git a/cvat/apps/dataset_manager/formats/mot.py b/cvat/apps/dataset_manager/formats/mot.py
index ced2fccabfe..e8b2ea82a13 100644
--- a/cvat/apps/dataset_manager/formats/mot.py
+++ b/cvat/apps/dataset_manager/formats/mot.py
@@ -1,60 +1,45 @@
+# Copyright (C) 2019 Intel Corporation
+#
 # SPDX-License-Identifier: MIT
-format_spec = {
-    "name": "MOT",
-    "dumpers": [
-        {
-            "display_name": "{name} {format} {version}",
-            "format": "ZIP",
-            "version": "1.1",
-            "handler": "dump"
-        },
-    ],
-    "loaders": [
-        {
-            "display_name": "{name} {format} {version}",
-            "format": "ZIP",
-            "version": "1.1",
-            "handler": "load",
-        }
-    ],
-}
-
-
-from datumaro.plugins.mot_format import \
-    MotSeqGtConverter as _MotConverter
-class CvatMotConverter(_MotConverter):
-    NAME = 'cvat_mot'
-
-def dump(file_object, annotations):
-    from cvat.apps.dataset_manager.bindings import CvatAnnotationsExtractor
-    from cvat.apps.dataset_manager.util import make_zip_archive
-    from tempfile import TemporaryDirectory
-
-    extractor = CvatAnnotationsExtractor('', annotations)
-    converter = CvatMotConverter()
+
+from tempfile import TemporaryDirectory
+
+from pyunpack import Archive
+
+import datumaro.components.extractor as datumaro
+from cvat.apps.dataset_manager.bindings import (CvatTaskDataExtractor,
+    match_frame)
+from cvat.apps.dataset_manager.util import make_zip_archive
+from datumaro.components.project import Dataset
+
+from .registry import dm_env, exporter, importer
+
+
+@exporter(name='MOT', ext='ZIP', version='1.1')
+def _export(dst_file, task_data, save_images=False):
+    extractor = CvatTaskDataExtractor(task_data, include_images=save_images)
+    envt = dm_env.transforms
+    extractor = extractor.transform(envt.get('id_from_image_name'))
+    extractor = Dataset.from_extractors(extractor) # apply lazy transforms
     with TemporaryDirectory() as temp_dir:
+        converter = dm_env.make_converter('mot_seq_gt',
+            save_images=save_images)
         converter(extractor, save_dir=temp_dir)
-        make_zip_archive(temp_dir, file_object)
-
 
-def load(file_object, annotations):
-    from pyunpack import Archive
-    from tempfile import TemporaryDirectory
-    from datumaro.plugins.mot_format import MotSeqImporter
-    import datumaro.components.extractor as datumaro
-    from cvat.apps.dataset_manager.bindings import match_frame
+        make_zip_archive(temp_dir, dst_file)
 
-    archive_file = file_object if isinstance(file_object, str) else getattr(file_object, "name")
+@importer(name='MOT', ext='ZIP', version='1.1')
+def _import(src_file, task_data):
     with TemporaryDirectory() as tmp_dir:
-        Archive(archive_file).extractall(tmp_dir)
+        Archive(src_file.name).extractall(tmp_dir)
 
-        tracks = {}
+        dataset = dm_env.make_importer('mot_seq')(tmp_dir).make_dataset()
 
-        dm_dataset = MotSeqImporter()(tmp_dir).make_dataset()
-        label_cat = dm_dataset.categories()[datumaro.AnnotationType.label]
+        tracks = {}
+        label_cat = dataset.categories()[datumaro.AnnotationType.label]
 
-        for item in dm_dataset:
-            frame_id = match_frame(item, annotations)
+        for item in dataset:
+            frame_id = match_frame(item, task_data)
 
             for ann in item.annotations:
                 if ann.type != datumaro.AnnotationType.bbox:
@@ -64,7 +49,7 @@ def load(file_object, annotations):
                 if track_id is None:
                     continue
 
-                shape = annotations.TrackedShape(
+                shape = task_data.TrackedShape(
                     type='rectangle',
                     points=ann.points,
                     occluded=ann.attributes.get('occluded') == True,
@@ -77,7 +62,7 @@ def load(file_object, annotations):
 
                 # build trajectories as lists of shapes in track dict
                 if track_id not in tracks:
-                    tracks[track_id] = annotations.Track(
+                    tracks[track_id] = task_data.Track(
                         label_cat.items[ann.label].name, 0, [])
                 tracks[track_id].shapes.append(shape)
 
@@ -86,4 +71,4 @@ def load(file_object, annotations):
             track.shapes.sort(key=lambda t: t.frame)
             # Set outside=True for the last shape in a track to finish the track
             track.shapes[-1] = track.shapes[-1]._replace(outside=True)
-            annotations.add_track(track)
+            task_data.add_track(track)
diff --git a/cvat/apps/dataset_manager/formats/pascal_voc.py b/cvat/apps/dataset_manager/formats/pascal_voc.py
index a74d14ba3f2..429696baad5 100644
--- a/cvat/apps/dataset_manager/formats/pascal_voc.py
+++ b/cvat/apps/dataset_manager/formats/pascal_voc.py
@@ -1,46 +1,46 @@
-# Copyright (C) 2018 Intel Corporation
+# Copyright (C) 2020 Intel Corporation
 #
 # SPDX-License-Identifier: MIT
 
-format_spec = {
-    "name": "PASCAL VOC",
-    "dumpers": [
-        {
-            "display_name": "{name} {format} {version}",
-            "format": "ZIP",
-            "version": "1.1",
-            "handler": "dump"
-        },
-    ],
-    "loaders": [
-        {
-            "display_name": "{name} {format} {version}",
-            "format": "ZIP",
-            "version": "1.1",
-            "handler": "load"
-        },
-    ],
-}
+import os.path as osp
+import shutil
+from glob import glob
 
-def load(file_object, annotations):
-    from glob import glob
-    import os
-    import os.path as osp
-    import shutil
-    from pyunpack import Archive
-    from tempfile import TemporaryDirectory
-    from datumaro.plugins.voc_format.importer import VocImporter
-    from cvat.apps.dataset_manager.bindings import import_dm_annotations
+from tempfile import TemporaryDirectory
 
-    archive_file = file_object if isinstance(file_object, str) else getattr(file_object, "name")
+from pyunpack import Archive
+
+from cvat.apps.dataset_manager.bindings import (CvatTaskDataExtractor,
+    import_dm_annotations)
+from cvat.apps.dataset_manager.util import make_zip_archive
+from datumaro.components.project import Dataset
+
+from .registry import dm_env, exporter, importer
+
+
+@exporter(name='PASCAL VOC', ext='ZIP', version='1.1')
+def _export(dst_file, task_data, save_images=False):
+    extractor = CvatTaskDataExtractor(task_data, include_images=save_images)
+    envt = dm_env.transforms
+    extractor = extractor.transform(envt.get('id_from_image_name'))
+    extractor = Dataset.from_extractors(extractor) # apply lazy transforms
+    with TemporaryDirectory() as temp_dir:
+        converter = dm_env.make_converter('voc', label_map='source',
+            save_images=save_images)
+        converter(extractor, save_dir=temp_dir)
+
+        make_zip_archive(temp_dir, dst_file)
+
+@importer(name='PASCAL VOC', ext='ZIP', version='1.1')
+def _import(src_file, task_data):
     with TemporaryDirectory() as tmp_dir:
-        Archive(archive_file).extractall(tmp_dir)
+        Archive(src_file.name).extractall(tmp_dir)
 
         # put label map from the task if not present
         labelmap_file = osp.join(tmp_dir, 'labelmap.txt')
         if not osp.isfile(labelmap_file):
             labels = (label['name'] + ':::'
-                for _, label in annotations.meta['task']['labels'])
+                for _, label in task_data.meta['task']['labels'])
             with open(labelmap_file, 'w') as f:
                 f.write('\n'.join(labels))
 
@@ -58,34 +58,7 @@ def load(file_object, annotations):
             for f in anno_files:
                 shutil.move(f, anno_dir)
 
-        dm_project = VocImporter()(tmp_dir)
-        dm_dataset = dm_project.make_dataset()
-        import_dm_annotations(dm_dataset, annotations)
-
-from datumaro.components.converter import Converter
-class CvatVocConverter(Converter):
-    def __init__(self, save_images=False):
-        self._save_images = save_images
-
-    def __call__(self, extractor, save_dir):
-        from datumaro.components.project import Environment, Dataset
-        env = Environment()
-        id_from_image = env.transforms.get('id_from_image_name')
-
-        extractor = extractor.transform(id_from_image)
-        extractor = Dataset.from_extractors(extractor) # apply lazy transforms
-
-        converter = env.make_converter('voc', label_map='source',
-            save_images=self._save_images)
-        converter(extractor, save_dir=save_dir)
-
-def dump(file_object, annotations):
-    from cvat.apps.dataset_manager.bindings import CvatAnnotationsExtractor
-    from cvat.apps.dataset_manager.util import make_zip_archive
-    from tempfile import TemporaryDirectory
-
-    extractor = CvatAnnotationsExtractor('', annotations)
-    converter = CvatVocConverter()
-    with TemporaryDirectory() as temp_dir:
-        converter(extractor, save_dir=temp_dir)
-        make_zip_archive(temp_dir, file_object)
\ No newline at end of file
+        dataset = dm_env.make_importer('voc')(tmp_dir).make_dataset()
+        masks_to_polygons = dm_env.transforms.get('masks_to_polygons')
+        dataset = dataset.transform(masks_to_polygons)
+        import_dm_annotations(dataset, task_data)
diff --git a/cvat/apps/dataset_manager/formats/registry.py b/cvat/apps/dataset_manager/formats/registry.py
new file mode 100644
index 00000000000..20377dd6703
--- /dev/null
+++ b/cvat/apps/dataset_manager/formats/registry.py
@@ -0,0 +1,87 @@
+
+# Copyright (C) 2020 Intel Corporation
+#
+# SPDX-License-Identifier: MIT
+
+from datumaro.components.project import Environment
+
+
+dm_env = Environment()
+
+class _Format:
+    NAME = ''
+    EXT = ''
+    VERSION = ''
+    DISPLAY_NAME = '{NAME} {VERSION}'
+
+class Exporter(_Format):
+    def __call__(self, dst_file, task_data, **options):
+        raise NotImplementedError()
+
+class Importer(_Format):
+    def __call__(self, src_file, task_data, **options):
+        raise NotImplementedError()
+
+def _wrap_format(f_or_cls, klass, name, version, ext, display_name):
+    import inspect
+    assert inspect.isclass(f_or_cls) or inspect.isfunction(f_or_cls)
+    if inspect.isclass(f_or_cls):
+        assert hasattr(f_or_cls, '__call__')
+        target = f_or_cls
+    elif inspect.isfunction(f_or_cls):
+        class wrapper(klass):
+            # pylint: disable=arguments-differ
+            def __call__(self, *args, **kwargs):
+                f_or_cls(*args, **kwargs)
+
+        wrapper.__name__ = f_or_cls.__name__
+        wrapper.__module__ = f_or_cls.__module__
+        target = wrapper
+
+    target.NAME = name or klass.NAME or f_or_cls.__name__
+    target.VERSION = version or klass.VERSION
+    target.EXT = ext or klass.EXT
+    target.DISPLAY_NAME = (display_name or klass.DISPLAY_NAME).format(
+        NAME=name, VERSION=version, EXT=ext)
+    assert all([target.NAME, target.VERSION, target.EXT, target.DISPLAY_NAME])
+    return target
+
+EXPORT_FORMATS = {}
+def exporter(name, version, ext, display_name=None):
+    assert name not in EXPORT_FORMATS, "Export format '%s' already registered" % name
+    def wrap_with_params(f_or_cls):
+        t = _wrap_format(f_or_cls, Exporter,
+            name=name, ext=ext, version=version, display_name=display_name)
+        key = t.DISPLAY_NAME
+        assert key not in EXPORT_FORMATS, "Export format '%s' already registered" % name
+        EXPORT_FORMATS[key] = t
+        return t
+    return wrap_with_params
+
+IMPORT_FORMATS = {}
+def importer(name, version, ext, display_name=None):
+    def wrap_with_params(f_or_cls):
+        t = _wrap_format(f_or_cls, Importer,
+            name=name, ext=ext, version=version, display_name=display_name)
+        key = t.DISPLAY_NAME
+        assert key not in IMPORT_FORMATS, "Import format '%s' already registered" % name
+        IMPORT_FORMATS[key] = t
+        return t
+    return wrap_with_params
+
+def make_importer(name):
+    return IMPORT_FORMATS[name]()
+
+def make_exporter(name):
+    return EXPORT_FORMATS[name]()
+
+# pylint: disable=unused-import
+import cvat.apps.dataset_manager.formats.coco
+import cvat.apps.dataset_manager.formats.cvat
+import cvat.apps.dataset_manager.formats.datumaro
+import cvat.apps.dataset_manager.formats.labelme
+import cvat.apps.dataset_manager.formats.mask
+import cvat.apps.dataset_manager.formats.mot
+import cvat.apps.dataset_manager.formats.pascal_voc
+import cvat.apps.dataset_manager.formats.tfrecord
+import cvat.apps.dataset_manager.formats.yolo
\ No newline at end of file
diff --git a/cvat/apps/dataset_manager/formats/tfrecord.py b/cvat/apps/dataset_manager/formats/tfrecord.py
index db6dee6944f..0e4962fa6c4 100644
--- a/cvat/apps/dataset_manager/formats/tfrecord.py
+++ b/cvat/apps/dataset_manager/formats/tfrecord.py
@@ -2,52 +2,33 @@
 #
 # SPDX-License-Identifier: MIT
 
-format_spec = {
-    "name": "TFRecord",
-    "dumpers": [
-        {
-            "display_name": "{name} {format} {version}",
-            "format": "ZIP",
-            "version": "1.0",
-            "handler": "dump"
-        },
-    ],
-    "loaders": [
-        {
-            "display_name": "{name} {format} {version}",
-            "format": "ZIP",
-            "version": "1.0",
-            "handler": "load"
-        },
-    ],
-}
-
-from datumaro.plugins.tf_detection_api_format.converter import \
-    TfDetectionApiConverter as _TfDetectionApiConverter
-class CvatTfrecordConverter(_TfDetectionApiConverter):
-    NAME = 'cvat_tfrecord'
-
-def dump(file_object, annotations):
-    from cvat.apps.dataset_manager.bindings import CvatAnnotationsExtractor
-    from cvat.apps.dataset_manager.util import make_zip_archive
-    from tempfile import TemporaryDirectory
-
-    extractor = CvatAnnotationsExtractor('', annotations)
-    converter = CvatTfrecordConverter()
+from tempfile import TemporaryDirectory
+
+from pyunpack import Archive
+
+from cvat.apps.dataset_manager.bindings import (CvatTaskDataExtractor,
+    import_dm_annotations)
+from cvat.apps.dataset_manager.util import make_zip_archive
+from datumaro.components.project import Dataset
+
+from .registry import dm_env, exporter, importer
+
+
+@exporter(name='TFRecord', ext='ZIP', version='1.0')
+def _export(dst_file, task_data, save_images=False):
+    extractor = CvatTaskDataExtractor(task_data, include_images=save_images)
+    extractor = Dataset.from_extractors(extractor) # apply lazy transforms
     with TemporaryDirectory() as temp_dir:
+        converter = dm_env.make_converter('tf_detection_api',
+            save_images=save_images)
         converter(extractor, save_dir=temp_dir)
-        make_zip_archive(temp_dir, file_object)
 
-def load(file_object, annotations):
-    from pyunpack import Archive
-    from tempfile import TemporaryDirectory
-    from datumaro.plugins.tf_detection_api_format.importer import TfDetectionApiImporter
-    from cvat.apps.dataset_manager.bindings import import_dm_annotations
+        make_zip_archive(temp_dir, dst_file)
 
-    archive_file = file_object if isinstance(file_object, str) else getattr(file_object, "name")
+@importer(name='TFRecord', ext='ZIP', version='1.0')
+def _import(src_file, task_data):
     with TemporaryDirectory() as tmp_dir:
-        Archive(archive_file).extractall(tmp_dir)
+        Archive(src_file.name).extractall(tmp_dir)
 
-        dm_project = TfDetectionApiImporter()(tmp_dir)
-        dm_dataset = dm_project.make_dataset()
-        import_dm_annotations(dm_dataset, annotations)
+        dataset = dm_env.make_importer('tf_detection_api')(tmp_dir).make_dataset()
+        import_dm_annotations(dataset, task_data)
diff --git a/cvat/apps/dataset_manager/formats/yolo.py b/cvat/apps/dataset_manager/formats/yolo.py
index f21ebe43634..688ff903482 100644
--- a/cvat/apps/dataset_manager/formats/yolo.py
+++ b/cvat/apps/dataset_manager/formats/yolo.py
@@ -1,39 +1,36 @@
-# Copyright (C) 2018 Intel Corporation
+# Copyright (C) 2019 Intel Corporation
 #
 # SPDX-License-Identifier: MIT
 
-format_spec = {
-    "name": "YOLO",
-    "dumpers": [
-        {
-            "display_name": "{name} {format} {version}",
-            "format": "ZIP",
-            "version": "1.1",
-            "handler": "dump"
-        },
-    ],
-    "loaders": [
-        {
-            "display_name": "{name} {format} {version}",
-            "format": "ZIP",
-            "version": "1.1",
-            "handler": "load"
-        },
-    ],
-}
+import os.path as osp
+from glob import glob
+from tempfile import TemporaryDirectory
 
-def load(file_object, annotations):
-    from pyunpack import Archive
-    import os.path as osp
-    from tempfile import TemporaryDirectory
-    from glob import glob
-    from datumaro.components.extractor import DatasetItem
-    from datumaro.plugins.yolo_format.importer import YoloImporter
-    from cvat.apps.dataset_manager.bindings import import_dm_annotations, match_frame
+from pyunpack import Archive
 
-    archive_file = file_object if isinstance(file_object, str) else getattr(file_object, "name")
+from cvat.apps.dataset_manager.bindings import (CvatTaskDataExtractor,
+    import_dm_annotations, match_frame)
+from cvat.apps.dataset_manager.util import make_zip_archive
+from datumaro.components.extractor import DatasetItem
+from datumaro.components.project import Dataset
+
+from .registry import dm_env, exporter, importer
+
+
+@exporter(name='YOLO', ext='ZIP', version='1.1')
+def _export(dst_file, task_data, save_images=False):
+    extractor = CvatTaskDataExtractor(task_data, include_images=save_images)
+    extractor = Dataset.from_extractors(extractor) # apply lazy transforms
+    with TemporaryDirectory() as temp_dir:
+        converter = dm_env.make_converter('yolo', save_images=save_images)
+        converter(extractor, save_dir=temp_dir)
+
+        make_zip_archive(temp_dir, dst_file)
+
+@importer(name='YOLO', ext='ZIP', version='1.1')
+def _import(src_file, task_data):
     with TemporaryDirectory() as tmp_dir:
-        Archive(archive_file).extractall(tmp_dir)
+        Archive(src_file.name).extractall(tmp_dir)
 
         image_info = {}
         anno_files = glob(osp.join(tmp_dir, '**', '*.txt'), recursive=True)
@@ -41,28 +38,13 @@ def load(file_object, annotations):
             filename = osp.splitext(osp.basename(filename))[0]
             frame_info = None
             try:
-                frame_id = match_frame(DatasetItem(id=filename), annotations)
-                frame_info = annotations.frame_info[frame_id]
+                frame_id = match_frame(DatasetItem(id=filename), task_data)
+                frame_info = task_data.frame_info[frame_id]
             except Exception:
                 pass
             if frame_info is not None:
                 image_info[filename] = (frame_info['height'], frame_info['width'])
 
-        dm_project = YoloImporter()(tmp_dir, image_info=image_info)
-        dm_dataset = dm_project.make_dataset()
-        import_dm_annotations(dm_dataset, annotations)
-
-from datumaro.plugins.yolo_format.converter import \
-    YoloConverter as _YoloConverter
-class CvatYoloConverter(_YoloConverter):
-    NAME = 'cvat_yolo'
-
-def dump(file_object, annotations):
-    from cvat.apps.dataset_manager.bindings import CvatAnnotationsExtractor
-    from cvat.apps.dataset_manager.util import make_zip_archive
-    from tempfile import TemporaryDirectory
-    extractor = CvatAnnotationsExtractor('', annotations)
-    converter = CvatYoloConverter()
-    with TemporaryDirectory() as temp_dir:
-        converter(extractor, save_dir=temp_dir)
-        make_zip_archive(temp_dir, file_object)
+        dataset = dm_env.make_importer('yolo')(tmp_dir, image_info=image_info) \
+            .make_dataset()
+        import_dm_annotations(dataset, task_data)
diff --git a/cvat/apps/dataset_manager/serializers.py b/cvat/apps/dataset_manager/serializers.py
new file mode 100644
index 00000000000..51cf71ca8da
--- /dev/null
+++ b/cvat/apps/dataset_manager/serializers.py
@@ -0,0 +1,15 @@
+# Copyright (C) 2020 Intel Corporation
+#
+# SPDX-License-Identifier: MIT
+
+from rest_framework import serializers
+
+
+class DatasetFormatSerializer(serializers.Serializer):
+    name = serializers.CharField(max_length=64, source='DISPLAY_NAME')
+    ext = serializers.CharField(max_length=64, source='EXT')
+    version = serializers.CharField(max_length=64, source='VERSION')
+
+class DatasetFormatsSerializer(serializers.Serializer):
+    importers = DatasetFormatSerializer(many=True)
+    exporters = DatasetFormatSerializer(many=True)
\ No newline at end of file
diff --git a/cvat/apps/dataset_manager/task.py b/cvat/apps/dataset_manager/task.py
index 688f7792c10..0d9985b724d 100644
--- a/cvat/apps/dataset_manager/task.py
+++ b/cvat/apps/dataset_manager/task.py
@@ -3,361 +3,739 @@
 #
 # SPDX-License-Identifier: MIT
 
-from datetime import timedelta
-import json
-import os
-import os.path as osp
-import shutil
-import tempfile
+from collections import OrderedDict
+from enum import Enum
 
+from django.conf import settings
+from django.db import transaction
 from django.utils import timezone
-import django_rq
 
-from cvat.settings.base import DATUMARO_PATH as _DATUMARO_REPO_PATH, \
-    BASE_DIR as _CVAT_ROOT_DIR
-from cvat.apps.engine.log import slogger
-from cvat.apps.engine.models import Task
-from cvat.apps.engine.frame_provider import FrameProvider
-from .util import current_function_name, make_zip_archive
+from cvat.apps.engine import models, serializers
+from cvat.apps.engine.plugins import plugin_decorator
+from cvat.apps.profiler import silk_profile
 
-from datumaro.components.project import Project, Environment
-import datumaro.components.extractor as datumaro
-from .bindings import CvatImagesExtractor, CvatTaskExtractor
+from .annotation import AnnotationIR, AnnotationManager
+from .bindings import TaskData
+from .formats.registry import make_exporter, make_importer
 
-_FORMATS_DIR = osp.join(osp.dirname(__file__), 'formats')
 
-_MODULE_NAME = __package__ + '.' + osp.splitext(osp.basename(__file__))[0]
-def log_exception(logger=None, exc_info=True):
-    if logger is None:
-        logger = slogger
-    logger.exception("[%s @ %s]: exception occurred" % \
-            (_MODULE_NAME, current_function_name(2)),
-        exc_info=exc_info)
+class dotdict(OrderedDict):
+    """dot.notation access to dictionary attributes"""
+    __getattr__ = OrderedDict.get
+    __setattr__ = OrderedDict.__setitem__
+    __delattr__ = OrderedDict.__delitem__
+    __eq__ = lambda self, other: self.id == other.id
+    __hash__ = lambda self: self.id
 
-_TASK_IMAGES_EXTRACTOR = '_cvat_task_images'
-_TASK_ANNO_EXTRACTOR = '_cvat_task_anno'
-_TASK_IMAGES_REMOTE_EXTRACTOR = 'cvat_rest_api_task_images'
+class PatchAction(str, Enum):
+    CREATE = "create"
+    UPDATE = "update"
+    DELETE = "delete"
 
-def get_export_cache_dir(db_task):
-    return osp.join(db_task.get_task_dirname(), 'export_cache')
+    @classmethod
+    def values(cls):
+        return [item.value for item in cls]
 
-EXPORT_FORMAT_DATUMARO_PROJECT = "datumaro_project"
+    def __str__(self):
+        return self.value
 
+def bulk_create(db_model, objects, flt_param):
+    if objects:
+        if flt_param:
+            if 'postgresql' in settings.DATABASES["default"]["ENGINE"]:
+                return db_model.objects.bulk_create(objects)
+            else:
+                ids = list(db_model.objects.filter(**flt_param).values_list('id', flat=True))
+                db_model.objects.bulk_create(objects)
 
-class TaskProject:
-    @staticmethod
-    def _get_datumaro_project_dir(db_task):
-        return osp.join(db_task.get_task_dirname(), 'datumaro')
+                return list(db_model.objects.exclude(id__in=ids).filter(**flt_param))
+        else:
+            return db_model.objects.bulk_create(objects)
+
+    return []
+
+def _merge_table_rows(rows, keys_for_merge, field_id):
+    # It is necessary to keep a stable order of original rows
+    # (e.g. for tracked boxes). Otherwise prev_box.frame can be bigger
+    # than next_box.frame.
+    merged_rows = OrderedDict()
+
+    # Group all rows by field_id. In grouped rows replace fields in
+    # accordance with keys_for_merge structure.
+    for row in rows:
+        row_id = row[field_id]
+        if not row_id in merged_rows:
+            merged_rows[row_id] = dotdict(row)
+            for key in keys_for_merge:
+                merged_rows[row_id][key] = []
+
+        for key in keys_for_merge:
+            item = dotdict({v.split('__', 1)[-1]:row[v] for v in keys_for_merge[key]})
+            if item.id is not None:
+                merged_rows[row_id][key].append(item)
+
+    # Remove redundant keys from final objects
+    redundant_keys = [item for values in keys_for_merge.values() for item in values]
+    for i in merged_rows:
+        for j in redundant_keys:
+            del merged_rows[i][j]
+
+    return list(merged_rows.values())
+
+class JobAnnotation:
+    def __init__(self, pk):
+        self.db_job = models.Job.objects.select_related('segment__task') \
+            .select_for_update().get(id=pk)
+
+        db_segment = self.db_job.segment
+        self.start_frame = db_segment.start_frame
+        self.stop_frame = db_segment.stop_frame
+        self.ir_data = AnnotationIR()
+
+        self.db_labels = {db_label.id:db_label
+            for db_label in db_segment.task.label_set.all()}
+
+        self.db_attributes = {}
+        for db_label in self.db_labels.values():
+            self.db_attributes[db_label.id] = {
+                "mutable": OrderedDict(),
+                "immutable": OrderedDict(),
+                "all": OrderedDict(),
+            }
+            for db_attr in db_label.attributespec_set.all():
+                default_value = dotdict([
+                    ('spec_id', db_attr.id),
+                    ('value', db_attr.default_value),
+                ])
+                if db_attr.mutable:
+                    self.db_attributes[db_label.id]["mutable"][db_attr.id] = default_value
+                else:
+                    self.db_attributes[db_label.id]["immutable"][db_attr.id] = default_value
+
+                self.db_attributes[db_label.id]["all"][db_attr.id] = default_value
+
+    def reset(self):
+        self.ir_data.reset()
+
+    def _save_tracks_to_db(self, tracks):
+        db_tracks = []
+        db_track_attrvals = []
+        db_shapes = []
+        db_shape_attrvals = []
+
+        for track in tracks:
+            track_attributes = track.pop("attributes", [])
+            shapes = track.pop("shapes")
+            db_track = models.LabeledTrack(job=self.db_job, **track)
+            if db_track.label_id not in self.db_labels:
+                raise AttributeError("label_id `{}` is invalid".format(db_track.label_id))
+
+            for attr in track_attributes:
+                db_attrval = models.LabeledTrackAttributeVal(**attr)
+                if db_attrval.spec_id not in self.db_attributes[db_track.label_id]["immutable"]:
+                    raise AttributeError("spec_id `{}` is invalid".format(db_attrval.spec_id))
+                db_attrval.track_id = len(db_tracks)
+                db_track_attrvals.append(db_attrval)
+
+            for shape in shapes:
+                shape_attributes = shape.pop("attributes", [])
+                # FIXME: need to clamp points (be sure that all of them inside the image)
+                # Should we check here or implement a validator?
+                db_shape = models.TrackedShape(**shape)
+                db_shape.track_id = len(db_tracks)
+
+                for attr in shape_attributes:
+                    db_attrval = models.TrackedShapeAttributeVal(**attr)
+                    if db_attrval.spec_id not in self.db_attributes[db_track.label_id]["mutable"]:
+                        raise AttributeError("spec_id `{}` is invalid".format(db_attrval.spec_id))
+                    db_attrval.shape_id = len(db_shapes)
+                    db_shape_attrvals.append(db_attrval)
+
+                db_shapes.append(db_shape)
+                shape["attributes"] = shape_attributes
+
+            db_tracks.append(db_track)
+            track["attributes"] = track_attributes
+            track["shapes"] = shapes
+
+        db_tracks = bulk_create(
+            db_model=models.LabeledTrack,
+            objects=db_tracks,
+            flt_param={"job_id": self.db_job.id}
+        )
+
+        for db_attrval in db_track_attrvals:
+            db_attrval.track_id = db_tracks[db_attrval.track_id].id
+        bulk_create(
+            db_model=models.LabeledTrackAttributeVal,
+            objects=db_track_attrvals,
+            flt_param={}
+        )
+
+        for db_shape in db_shapes:
+            db_shape.track_id = db_tracks[db_shape.track_id].id
+
+        db_shapes = bulk_create(
+            db_model=models.TrackedShape,
+            objects=db_shapes,
+            flt_param={"track__job_id": self.db_job.id}
+        )
+
+        for db_attrval in db_shape_attrvals:
+            db_attrval.shape_id = db_shapes[db_attrval.shape_id].id
+
+        bulk_create(
+            db_model=models.TrackedShapeAttributeVal,
+            objects=db_shape_attrvals,
+            flt_param={}
+        )
+
+        shape_idx = 0
+        for track, db_track in zip(tracks, db_tracks):
+            track["id"] = db_track.id
+            for shape in track["shapes"]:
+                shape["id"] = db_shapes[shape_idx].id
+                shape_idx += 1
+
+        self.ir_data.tracks = tracks
+
+    def _save_shapes_to_db(self, shapes):
+        db_shapes = []
+        db_attrvals = []
+
+        for shape in shapes:
+            attributes = shape.pop("attributes", [])
+            # FIXME: need to clamp points (be sure that all of them inside the image)
+            # Should we check here or implement a validator?
+            db_shape = models.LabeledShape(job=self.db_job, **shape)
+            if db_shape.label_id not in self.db_labels:
+                raise AttributeError("label_id `{}` is invalid".format(db_shape.label_id))
+
+            for attr in attributes:
+                db_attrval = models.LabeledShapeAttributeVal(**attr)
+                if db_attrval.spec_id not in self.db_attributes[db_shape.label_id]["all"]:
+                    raise AttributeError("spec_id `{}` is invalid".format(db_attrval.spec_id))
+
+                db_attrval.shape_id = len(db_shapes)
+                db_attrvals.append(db_attrval)
+
+            db_shapes.append(db_shape)
+            shape["attributes"] = attributes
+
+        db_shapes = bulk_create(
+            db_model=models.LabeledShape,
+            objects=db_shapes,
+            flt_param={"job_id": self.db_job.id}
+        )
+
+        for db_attrval in db_attrvals:
+            db_attrval.shape_id = db_shapes[db_attrval.shape_id].id
+
+        bulk_create(
+            db_model=models.LabeledShapeAttributeVal,
+            objects=db_attrvals,
+            flt_param={}
+        )
+
+        for shape, db_shape in zip(shapes, db_shapes):
+            shape["id"] = db_shape.id
+
+        self.ir_data.shapes = shapes
+
+    def _save_tags_to_db(self, tags):
+        db_tags = []
+        db_attrvals = []
+
+        for tag in tags:
+            attributes = tag.pop("attributes", [])
+            db_tag = models.LabeledImage(job=self.db_job, **tag)
+            if db_tag.label_id not in self.db_labels:
+                raise AttributeError("label_id `{}` is invalid".format(db_tag.label_id))
+
+            for attr in attributes:
+                db_attrval = models.LabeledImageAttributeVal(**attr)
+                if db_attrval.spec_id not in self.db_attributes[db_tag.label_id]["all"]:
+                    raise AttributeError("spec_id `{}` is invalid".format(db_attrval.spec_id))
+                db_attrval.tag_id = len(db_tags)
+                db_attrvals.append(db_attrval)
+
+            db_tags.append(db_tag)
+            tag["attributes"] = attributes
+
+        db_tags = bulk_create(
+            db_model=models.LabeledImage,
+            objects=db_tags,
+            flt_param={"job_id": self.db_job.id}
+        )
+
+        for db_attrval in db_attrvals:
+            db_attrval.image_id = db_tags[db_attrval.tag_id].id
+
+        bulk_create(
+            db_model=models.LabeledImageAttributeVal,
+            objects=db_attrvals,
+            flt_param={}
+        )
+
+        for tag, db_tag in zip(tags, db_tags):
+            tag["id"] = db_tag.id
+
+        self.ir_data.tags = tags
+
+    def _commit(self):
+        db_prev_commit = self.db_job.commits.last()
+        db_curr_commit = models.JobCommit()
+        if db_prev_commit:
+            db_curr_commit.version = db_prev_commit.version + 1
+        else:
+            db_curr_commit.version = 1
+        db_curr_commit.job = self.db_job
+        db_curr_commit.message = "Changes: tags - {}; shapes - {}; tracks - {}".format(
+            len(self.ir_data.tags), len(self.ir_data.shapes), len(self.ir_data.tracks))
+        db_curr_commit.save()
+        self.ir_data.version = db_curr_commit.version
+
+    def _set_updated_date(self):
+        db_task = self.db_job.segment.task
+        db_task.updated_date = timezone.now()
+        db_task.save()
+
+    def _save_to_db(self, data):
+        self.reset()
+        self._save_tags_to_db(data["tags"])
+        self._save_shapes_to_db(data["shapes"])
+        self._save_tracks_to_db(data["tracks"])
+
+        return self.ir_data.tags or self.ir_data.shapes or self.ir_data.tracks
+
+    def _create(self, data):
+        if self._save_to_db(data):
+            self._set_updated_date()
+            self.db_job.save()
+
+    def create(self, data):
+        self._create(data)
+        self._commit()
+
+    def put(self, data):
+        self._delete()
+        self._create(data)
+        self._commit()
+
+    def update(self, data):
+        self._delete(data)
+        self._create(data)
+        self._commit()
+
+    def _delete(self, data=None):
+        deleted_shapes = 0
+        if data is None:
+            deleted_shapes += self.db_job.labeledimage_set.all().delete()[0]
+            deleted_shapes += self.db_job.labeledshape_set.all().delete()[0]
+            deleted_shapes += self.db_job.labeledtrack_set.all().delete()[0]
+        else:
+            labeledimage_ids = [image["id"] for image in data["tags"]]
+            labeledshape_ids = [shape["id"] for shape in data["shapes"]]
+            labeledtrack_ids = [track["id"] for track in data["tracks"]]
+            labeledimage_set = self.db_job.labeledimage_set
+            labeledimage_set = labeledimage_set.filter(pk__in=labeledimage_ids)
+            labeledshape_set = self.db_job.labeledshape_set
+            labeledshape_set = labeledshape_set.filter(pk__in=labeledshape_ids)
+            labeledtrack_set = self.db_job.labeledtrack_set
+            labeledtrack_set = labeledtrack_set.filter(pk__in=labeledtrack_ids)
+
+            # It is not important for us that data had some "invalid" objects
+            # which were skipped (not acutally deleted). The main idea is to
+            # say that all requested objects are absent in DB after the method.
+            self.ir_data.tags = data['tags']
+            self.ir_data.shapes = data['shapes']
+            self.ir_data.tracks = data['tracks']
+
+            deleted_shapes += labeledimage_set.delete()[0]
+            deleted_shapes += labeledshape_set.delete()[0]
+            deleted_shapes += labeledtrack_set.delete()[0]
+
+        if deleted_shapes:
+            self._set_updated_date()
+
+    def delete(self, data=None):
+        self._delete(data)
+        self._commit()
 
     @staticmethod
-    def create(db_task):
-        task_project = TaskProject(db_task)
-        task_project._create()
-        return task_project
+    def _extend_attributes(attributeval_set, default_attribute_values):
+        shape_attribute_specs_set = set(attr.spec_id for attr in attributeval_set)
+        for db_attr in default_attribute_values:
+            if db_attr.spec_id not in shape_attribute_specs_set:
+                attributeval_set.append(dotdict([
+                    ('spec_id', db_attr.spec_id),
+                    ('value', db_attr.value),
+                ]))
+
+    def _init_tags_from_db(self):
+        db_tags = self.db_job.labeledimage_set.prefetch_related(
+            "label",
+            "labeledimageattributeval_set"
+        ).values(
+            'id',
+            'frame',
+            'label_id',
+            'group',
+            'labeledimageattributeval__spec_id',
+            'labeledimageattributeval__value',
+            'labeledimageattributeval__id',
+        ).order_by('frame')
+
+        db_tags = _merge_table_rows(
+            rows=db_tags,
+            keys_for_merge={
+                "labeledimageattributeval_set": [
+                    'labeledimageattributeval__spec_id',
+                    'labeledimageattributeval__value',
+                    'labeledimageattributeval__id',
+                ],
+            },
+            field_id='id',
+        )
+
+        for db_tag in db_tags:
+            self._extend_attributes(db_tag.labeledimageattributeval_set,
+                self.db_attributes[db_tag.label_id]["all"].values())
+
+        serializer = serializers.LabeledImageSerializer(db_tags, many=True)
+        self.ir_data.tags = serializer.data
+
+    def _init_shapes_from_db(self):
+        db_shapes = self.db_job.labeledshape_set.prefetch_related(
+            "label",
+            "labeledshapeattributeval_set"
+        ).values(
+            'id',
+            'label_id',
+            'type',
+            'frame',
+            'group',
+            'occluded',
+            'z_order',
+            'points',
+            'labeledshapeattributeval__spec_id',
+            'labeledshapeattributeval__value',
+            'labeledshapeattributeval__id',
+            ).order_by('frame')
+
+        db_shapes = _merge_table_rows(
+            rows=db_shapes,
+            keys_for_merge={
+                'labeledshapeattributeval_set': [
+                    'labeledshapeattributeval__spec_id',
+                    'labeledshapeattributeval__value',
+                    'labeledshapeattributeval__id',
+                ],
+            },
+            field_id='id',
+        )
+        for db_shape in db_shapes:
+            self._extend_attributes(db_shape.labeledshapeattributeval_set,
+                self.db_attributes[db_shape.label_id]["all"].values())
+
+        serializer = serializers.LabeledShapeSerializer(db_shapes, many=True)
+        self.ir_data.shapes = serializer.data
+
+    def _init_tracks_from_db(self):
+        db_tracks = self.db_job.labeledtrack_set.prefetch_related(
+            "label",
+            "labeledtrackattributeval_set",
+            "trackedshape_set__trackedshapeattributeval_set"
+        ).values(
+            "id",
+            "frame",
+            "label_id",
+            "group",
+            "labeledtrackattributeval__spec_id",
+            "labeledtrackattributeval__value",
+            "labeledtrackattributeval__id",
+            "trackedshape__type",
+            "trackedshape__occluded",
+            "trackedshape__z_order",
+            "trackedshape__points",
+            "trackedshape__id",
+            "trackedshape__frame",
+            "trackedshape__outside",
+            "trackedshape__trackedshapeattributeval__spec_id",
+            "trackedshape__trackedshapeattributeval__value",
+            "trackedshape__trackedshapeattributeval__id",
+        ).order_by('id', 'trackedshape__frame')
+
+        db_tracks = _merge_table_rows(
+            rows=db_tracks,
+            keys_for_merge={
+                "labeledtrackattributeval_set": [
+                    "labeledtrackattributeval__spec_id",
+                    "labeledtrackattributeval__value",
+                    "labeledtrackattributeval__id",
+                ],
+                "trackedshape_set":[
+                    "trackedshape__type",
+                    "trackedshape__occluded",
+                    "trackedshape__z_order",
+                    "trackedshape__points",
+                    "trackedshape__id",
+                    "trackedshape__frame",
+                    "trackedshape__outside",
+                    "trackedshape__trackedshapeattributeval__spec_id",
+                    "trackedshape__trackedshapeattributeval__value",
+                    "trackedshape__trackedshapeattributeval__id",
+                ],
+            },
+            field_id="id",
+        )
+
+        for db_track in db_tracks:
+            db_track["trackedshape_set"] = _merge_table_rows(db_track["trackedshape_set"], {
+                'trackedshapeattributeval_set': [
+                    'trackedshapeattributeval__value',
+                    'trackedshapeattributeval__spec_id',
+                    'trackedshapeattributeval__id',
+                ]
+            }, 'id')
+
+            # A result table can consist many equal rows for track/shape attributes
+            # We need filter unique attributes manually
+            db_track["labeledtrackattributeval_set"] = list(set(db_track["labeledtrackattributeval_set"]))
+            self._extend_attributes(db_track.labeledtrackattributeval_set,
+                self.db_attributes[db_track.label_id]["immutable"].values())
+
+            default_attribute_values = self.db_attributes[db_track.label_id]["mutable"].values()
+            for db_shape in db_track["trackedshape_set"]:
+                db_shape["trackedshapeattributeval_set"] = list(
+                    set(db_shape["trackedshapeattributeval_set"])
+                )
+                # in case of trackedshapes need to interpolate attriute values and extend it
+                # by previous shape attribute values (not default values)
+                self._extend_attributes(db_shape["trackedshapeattributeval_set"], default_attribute_values)
+                default_attribute_values = db_shape["trackedshapeattributeval_set"]
+
+
+        serializer = serializers.LabeledTrackSerializer(db_tracks, many=True)
+        self.ir_data.tracks = serializer.data
+
+    def _init_version_from_db(self):
+        db_commit = self.db_job.commits.last()
+        self.ir_data.version = db_commit.version if db_commit else 0
+
+    def init_from_db(self):
+        self._init_tags_from_db()
+        self._init_shapes_from_db()
+        self._init_tracks_from_db()
+        self._init_version_from_db()
+
+    @property
+    def data(self):
+        return self.ir_data.data
+
+    def import_annotations(self, src_file, importer):
+        task_data = TaskData(
+            annotation_ir=AnnotationIR(),
+            db_task=self.db_job.segment.task,
+            create_callback=self.create,
+        )
+        self.delete()
+
+        importer(src_file, task_data)
+
+        self.create(task_data.data.slice(self.start_frame, self.stop_frame).serialize())
+
+class TaskAnnotation:
+    def __init__(self, pk):
+        self.db_task = models.Task.objects.prefetch_related("data__images").get(id=pk)
+
+        # Postgres doesn't guarantee an order by default without explicit order_by
+        self.db_jobs = models.Job.objects.select_related("segment").filter(segment__task_id=pk).order_by('id')
+        self.ir_data = AnnotationIR()
+
+    def reset(self):
+        self.ir_data.reset()
+
+    def _patch_data(self, data, action):
+        _data = data if isinstance(data, AnnotationIR) else AnnotationIR(data)
+        splitted_data = {}
+        jobs = {}
+        for db_job in self.db_jobs:
+            jid = db_job.id
+            start = db_job.segment.start_frame
+            stop = db_job.segment.stop_frame
+            jobs[jid] = { "start": start, "stop": stop }
+            splitted_data[jid] = _data.slice(start, stop)
+
+        for jid, job_data in splitted_data.items():
+            _data = AnnotationIR()
+            if action is None:
+                _data.data = put_job_data(jid, job_data)
+            else:
+                _data.data = patch_job_data(jid, job_data, action)
+            if _data.version > self.ir_data.version:
+                self.ir_data.version = _data.version
+            self._merge_data(_data, jobs[jid]["start"], self.db_task.overlap)
 
-    @staticmethod
-    def load(db_task):
-        task_project = TaskProject(db_task)
-        task_project._load()
-        task_project._init_dataset()
-        return task_project
+    def _merge_data(self, data, start_frame, overlap):
+        annotation_manager = AnnotationManager(self.ir_data)
+        annotation_manager.merge(data, start_frame, overlap)
 
-    @staticmethod
-    def from_task(db_task, user):
-        task_project = TaskProject(db_task)
-        task_project._import_from_task(user)
-        return task_project
-
-    def __init__(self, db_task):
-        self._db_task = db_task
-        self._project_dir = self._get_datumaro_project_dir(db_task)
-        self._project = None
-        self._dataset = None
-
-    def _create(self):
-        self._project = Project.generate(self._project_dir)
-        self._project.add_source('task_%s' % self._db_task.id, {
-            'format': _TASK_IMAGES_EXTRACTOR,
-        })
-        self._project.env.extractors.register(_TASK_IMAGES_EXTRACTOR,
-            lambda url: CvatImagesExtractor(url,
-                FrameProvider(self._db_task.data)))
-
-        self._init_dataset()
-        self._dataset.define_categories(self._generate_categories())
-
-        self.save()
-
-    def _load(self):
-        self._project = Project.load(self._project_dir)
-        self._project.env.extractors.register(_TASK_IMAGES_EXTRACTOR,
-            lambda url: CvatImagesExtractor(url,
-                FrameProvider(self._db_task.data)))
-
-    def _import_from_task(self, user):
-        self._project = Project.generate(self._project_dir, config={
-            'project_name': self._db_task.name,
-            'plugins_dir': _FORMATS_DIR,
-        })
-
-        self._project.add_source('task_%s_images' % self._db_task.id, {
-            'format': _TASK_IMAGES_EXTRACTOR,
-        })
-        self._project.env.extractors.register(_TASK_IMAGES_EXTRACTOR,
-            lambda url: CvatImagesExtractor(url,
-                FrameProvider(self._db_task.data)))
-
-        self._project.add_source('task_%s_anno' % self._db_task.id, {
-            'format': _TASK_ANNO_EXTRACTOR,
-        })
-        self._project.env.extractors.register(_TASK_ANNO_EXTRACTOR,
-            lambda url: CvatTaskExtractor(url,
-                db_task=self._db_task, user=user))
-
-        self._init_dataset()
-
-    def _init_dataset(self):
-        self._dataset = self._project.make_dataset()
-
-    def _generate_categories(self):
-        categories = {}
-        label_categories = datumaro.LabelCategories()
-
-        db_labels = self._db_task.label_set.all()
-        for db_label in db_labels:
-            db_attributes = db_label.attributespec_set.all()
-            label_categories.add(db_label.name)
-
-            for db_attr in db_attributes:
-                label_categories.attributes.add(db_attr.name)
-
-        categories[datumaro.AnnotationType.label] = label_categories
-
-        return categories
-
-    def put_annotations(self, annotations):
-        raise NotImplementedError()
-
-    def save(self, save_dir=None, save_images=False):
-        if self._dataset is not None:
-            self._dataset.save(save_dir=save_dir, save_images=save_images)
-        else:
-            self._project.save(save_dir=save_dir)
+    def put(self, data):
+        self._patch_data(data, None)
 
-    def export(self, dst_format, save_dir, save_images=False, server_url=None):
-        if self._dataset is None:
-            self._init_dataset()
-        if dst_format == EXPORT_FORMAT_DATUMARO_PROJECT:
-            self._remote_export(save_dir=save_dir, server_url=server_url)
-        else:
-            converter = self._dataset.env.make_converter(dst_format,
-                save_images=save_images)
-            self._dataset.export_project(converter=converter, save_dir=save_dir)
-
-    def _remote_image_converter(self, save_dir, server_url=None):
-        os.makedirs(save_dir, exist_ok=True)
-
-        db_task = self._db_task
-        items = []
-        config = {
-            'server_host': 'localhost',
-            'task_id': db_task.id,
-        }
-        if server_url:
-            if ':' in server_url:
-                host, port = server_url.rsplit(':', maxsplit=1)
-            else:
-                host = server_url
-                port = None
-            config['server_host'] = host
-            if port is not None:
-                config['server_port'] = int(port)
-
-        images_meta = {
-            'images': items,
-        }
-        db_video = getattr(self._db_task.data, 'video', None)
-        if db_video is not None:
-            for i in range(self._db_task.data.size):
-                frame_info = {
-                    'id': i,
-                    'width': db_video.width,
-                    'height': db_video.height,
-                }
-                items.append(frame_info)
+    def create(self, data):
+        self._patch_data(data, PatchAction.CREATE)
+
+    def update(self, data):
+        self._patch_data(data, PatchAction.UPDATE)
+
+    def delete(self, data=None):
+        if data:
+            self._patch_data(data, PatchAction.DELETE)
         else:
-            for db_image in self._db_task.data.images.all():
-                frame_info = {
-                    'id': db_image.frame,
-                    'name': osp.basename(db_image.path),
-                    'width': db_image.width,
-                    'height': db_image.height,
-                }
-                items.append(frame_info)
-
-        with open(osp.join(save_dir, 'config.json'), 'w') as config_file:
-            json.dump(config, config_file)
-        with open(osp.join(save_dir, 'images_meta.json'), 'w') as images_file:
-            json.dump(images_meta, images_file)
-
-    def _remote_export(self, save_dir, server_url=None):
-        if self._dataset is None:
-            self._init_dataset()
-
-        os.makedirs(save_dir, exist_ok=True)
-        self._dataset.save(save_dir=save_dir, save_images=False, merge=True)
-
-        exported_project = Project.load(save_dir)
-        source_name = 'task_%s_images' % self._db_task.id
-        exported_project.add_source(source_name, {
-            'format': _TASK_IMAGES_REMOTE_EXTRACTOR,
-        })
-        self._remote_image_converter(
-            osp.join(save_dir, exported_project.local_source_dir(source_name)),
-            server_url=server_url)
-        exported_project.save()
-
-
-        templates_dir = osp.join(osp.dirname(__file__), 'export_templates')
-        target_dir = exported_project.config.project_dir
-        os.makedirs(target_dir, exist_ok=True)
-        shutil.copyfile(
-            osp.join(templates_dir, 'README.md'),
-            osp.join(target_dir, 'README.md'))
-
-        templates_dir = osp.join(templates_dir, 'plugins')
-        target_dir = osp.join(target_dir,
-            exported_project.config.env_dir,
-            exported_project.config.plugins_dir)
-        os.makedirs(target_dir, exist_ok=True)
-        shutil.copyfile(
-            osp.join(templates_dir, _TASK_IMAGES_REMOTE_EXTRACTOR + '.py'),
-            osp.join(target_dir, _TASK_IMAGES_REMOTE_EXTRACTOR + '.py'))
-
-        # NOTE: put datumaro component to the archive so that
-        # it was available to the user
-        shutil.copytree(_DATUMARO_REPO_PATH, osp.join(save_dir, 'datumaro'),
-            ignore=lambda src, names: ['__pycache__'] + [
-                n for n in names
-                if sum([int(n.endswith(ext)) for ext in
-                        ['.pyx', '.pyo', '.pyd', '.pyc']])
-            ])
-
-        # include CVAT CLI module also
-        cvat_utils_dst_dir = osp.join(save_dir, 'cvat', 'utils')
-        os.makedirs(cvat_utils_dst_dir)
-        shutil.copytree(osp.join(_CVAT_ROOT_DIR, 'utils', 'cli'),
-            osp.join(cvat_utils_dst_dir, 'cli'))
-
-
-DEFAULT_FORMAT = EXPORT_FORMAT_DATUMARO_PROJECT
-DEFAULT_CACHE_TTL = timedelta(hours=10)
-CACHE_TTL = DEFAULT_CACHE_TTL
-
-def export_project(task_id, user, dst_format=None, server_url=None):
-    try:
-        db_task = Task.objects.get(pk=task_id)
-
-        if not dst_format:
-            dst_format = DEFAULT_FORMAT
-
-        cache_dir = get_export_cache_dir(db_task)
-        save_dir = osp.join(cache_dir, dst_format)
-        archive_path = osp.normpath(save_dir) + '.zip'
-
-        task_time = timezone.localtime(db_task.updated_date).timestamp()
-        if not (osp.exists(archive_path) and \
-                task_time <= osp.getmtime(archive_path)):
-            os.makedirs(cache_dir, exist_ok=True)
-            with tempfile.TemporaryDirectory(
-                    dir=cache_dir, prefix=dst_format + '_') as temp_dir:
-                project = TaskProject.from_task(db_task, user)
-                project.export(dst_format, save_dir=temp_dir, save_images=True,
-                    server_url=server_url)
-
-                os.makedirs(cache_dir, exist_ok=True)
-                make_zip_archive(temp_dir, archive_path)
-
-            archive_ctime = osp.getctime(archive_path)
-            scheduler = django_rq.get_scheduler()
-            cleaning_job = scheduler.enqueue_in(time_delta=CACHE_TTL,
-                func=clear_export_cache,
-                task_id=task_id,
-                file_path=archive_path, file_ctime=archive_ctime)
-            slogger.task[task_id].info(
-                "The task '{}' is exported as '{}' "
-                "and available for downloading for next '{}'. "
-                "Export cache cleaning job is enqueued, "
-                "id '{}', start in '{}'".format(
-                    db_task.name, dst_format, CACHE_TTL,
-                    cleaning_job.id, CACHE_TTL))
-
-        return archive_path
-    except Exception:
-        log_exception(slogger.task[task_id])
-        raise
-
-def clear_export_cache(task_id, file_path, file_ctime):
-    try:
-        if osp.exists(file_path) and osp.getctime(file_path) == file_ctime:
-            os.remove(file_path)
-            slogger.task[task_id].info(
-                "Export cache file '{}' successfully removed" \
-                .format(file_path))
-    except Exception:
-        log_exception(slogger.task[task_id])
-        raise
-
-
-EXPORT_FORMATS = [
-    {
-        'name': 'Datumaro',
-        'tag': EXPORT_FORMAT_DATUMARO_PROJECT,
-        'is_default': True,
-    },
-    {
-        'name': 'PASCAL VOC 2012',
-        'tag': 'cvat_voc',
-        'is_default': False,
-    },
-    {
-        'name': 'MS COCO',
-        'tag': 'cvat_coco',
-        'is_default': False,
-    },
-    {
-        'name': 'YOLO',
-        'tag': 'cvat_yolo',
-        'is_default': False,
-    },
-    {
-        'name': 'TF Detection API',
-        'tag': 'cvat_tfrecord',
-        'is_default': False,
-    },
-    {
-        'name': 'MOT',
-        'tag': 'cvat_mot',
-        'is_default': False,
-    },
-    {
-        'name': 'LabelMe',
-        'tag': 'cvat_label_me',
-        'is_default': False,
-    },
-]
-
-def get_export_formats():
-    converters = Environment(config={
-        'plugins_dir': _FORMATS_DIR
-    }).converters
-
-    available_formats = set(converters.items)
-    available_formats.add(EXPORT_FORMAT_DATUMARO_PROJECT)
-
-    public_formats = []
-    for fmt in EXPORT_FORMATS:
-        if fmt['tag'] in available_formats:
-            public_formats.append(fmt)
-
-    return public_formats
+            for db_job in self.db_jobs:
+                delete_job_data(db_job.id)
+
+    def init_from_db(self):
+        self.reset()
+
+        for db_job in self.db_jobs:
+            annotation = JobAnnotation(db_job.id)
+            annotation.init_from_db()
+            if annotation.ir_data.version > self.ir_data.version:
+                self.ir_data.version = annotation.ir_data.version
+            db_segment = db_job.segment
+            start_frame = db_segment.start_frame
+            overlap = self.db_task.overlap
+            self._merge_data(annotation.ir_data, start_frame, overlap)
+
+    def export(self, dst_file, exporter, host='', **options):
+        task_data = TaskData(
+            annotation_ir=self.ir_data,
+            db_task=self.db_task,
+            host=host,
+        )
+        exporter(dst_file, task_data, **options)
+
+    def import_annotations(self, src_file, importer, **options):
+        task_data = TaskData(
+            annotation_ir=AnnotationIR(),
+            db_task=self.db_task,
+            create_callback=self.create,
+        )
+        self.delete()
+
+        importer(src_file, task_data, **options)
+
+        self.create(task_data.data.serialize())
+
+    @property
+    def data(self):
+        return self.ir_data.data
+
+
+@silk_profile(name="GET job data")
+@transaction.atomic
+def get_job_data(pk):
+    annotation = JobAnnotation(pk)
+    annotation.init_from_db()
+
+    return annotation.data
+
+@silk_profile(name="POST job data")
+@transaction.atomic
+def put_job_data(pk, data):
+    annotation = JobAnnotation(pk)
+    annotation.put(data)
+
+    return annotation.data
+
+@silk_profile(name="UPDATE job data")
+@plugin_decorator
+@transaction.atomic
+def patch_job_data(pk, data, action):
+    annotation = JobAnnotation(pk)
+    if action == PatchAction.CREATE:
+        annotation.create(data)
+    elif action == PatchAction.UPDATE:
+        annotation.update(data)
+    elif action == PatchAction.DELETE:
+        annotation.delete(data)
+
+    return annotation.data
+
+@silk_profile(name="DELETE job data")
+@transaction.atomic
+def delete_job_data(pk):
+    annotation = JobAnnotation(pk)
+    annotation.delete()
+
+@silk_profile(name="GET task data")
+@transaction.atomic
+def get_task_data(pk):
+    annotation = TaskAnnotation(pk)
+    annotation.init_from_db()
+
+    return annotation.data
+
+@silk_profile(name="POST task data")
+@transaction.atomic
+def put_task_data(pk, data):
+    annotation = TaskAnnotation(pk)
+    annotation.put(data)
+
+    return annotation.data
+
+@silk_profile(name="UPDATE task data")
+@transaction.atomic
+def patch_task_data(pk, data, action):
+    annotation = TaskAnnotation(pk)
+    if action == PatchAction.CREATE:
+        annotation.create(data)
+    elif action == PatchAction.UPDATE:
+        annotation.update(data)
+    elif action == PatchAction.DELETE:
+        annotation.delete(data)
+
+    return annotation.data
+
+@silk_profile(name="DELETE task data")
+@transaction.atomic
+def delete_task_data(pk):
+    annotation = TaskAnnotation(pk)
+    annotation.delete()
+
+def export_task(task_id, dst_file, format_name,
+        server_url=None, save_images=False):
+    # For big tasks dump function may run for a long time and
+    # we dont need to acquire lock after the task has been initialized from DB.
+    # But there is the bug with corrupted dump file in case 2 or
+    # more dump request received at the same time:
+    # https://github.com/opencv/cvat/issues/217
+    with transaction.atomic():
+        task = TaskAnnotation(task_id)
+        task.init_from_db()
+
+    exporter = make_exporter(format_name)
+    with open(dst_file, 'wb') as f:
+        task.export(f, exporter, host=server_url,
+            save_images=save_images)
+
+@transaction.atomic
+def import_task_annotations(task_id, src_file, format_name):
+    task = TaskAnnotation(task_id)
+    task.init_from_db()
+
+    importer = make_importer(format_name)
+    with open(src_file, 'rb') as f:
+        task.import_annotations(f, importer)
+
+@transaction.atomic
+def import_job_annotations(job_id, src_file, format_name):
+    job = JobAnnotation(job_id)
+    job.init_from_db()
+
+    importer = make_importer(format_name)
+    with open(src_file, 'rb') as f:
+        job.import_annotations(f, importer)
diff --git a/cvat/apps/dataset_manager/_tests.py b/cvat/apps/dataset_manager/tests/_test_formats.py
similarity index 80%
rename from cvat/apps/dataset_manager/_tests.py
rename to cvat/apps/dataset_manager/tests/_test_formats.py
index 1a5300756e1..1a001a122cc 100644
--- a/cvat/apps/dataset_manager/_tests.py
+++ b/cvat/apps/dataset_manager/tests/_test_formats.py
@@ -3,6 +3,7 @@
 #
 # SPDX-License-Identifier: MIT
 
+# FIXME: Git application and package name clash in tests
 class _GitImportFix:
     import sys
     former_path = sys.path[:]
@@ -47,19 +48,17 @@ def restore(cls):
 
 def _setUpModule():
     _GitImportFix.apply()
-    import cvat.apps.dataset_manager.task as dm
-    from cvat.apps.engine.models import Task
+    import cvat.apps.dataset_manager as dm
     globals()['dm'] = dm
-    globals()['Task'] = Task
 
     import sys
     sys.path.insert(0, __file__[:__file__.rfind('/dataset_manager/')])
 
-def tearDownModule():
-    _GitImportFix.restore()
+# def tearDownModule():
+    # _GitImportFix.restore()
 
 from io import BytesIO
-import os
+import os.path as osp
 import random
 import tempfile
 
@@ -184,6 +183,24 @@ def _generate_task(self):
                     "type": "polygon",
                     "occluded": False
                 },
+                {
+                    "frame": 1,
+                    "label_id": task["labels"][0]["id"],
+                    "group": 1,
+                    "attributes": [],
+                    "points": [100, 300.222, 400, 500, 1, 3],
+                    "type": "points",
+                    "occluded": False
+                },
+                {
+                    "frame": 1,
+                    "label_id": task["labels"][0]["id"],
+                    "group": 1,
+                    "attributes": [],
+                    "points": [2.0, 2.1, 400, 500, 1, 3],
+                    "type": "polyline",
+                    "occluded": False
+                },
             ],
             "tracks": [
                 {
@@ -269,41 +286,52 @@ def _put_api_v1_task_id_annotations(self, tid, data):
         return response
 
     def _test_export(self, format_name, save_images=False):
-        self.assertTrue(format_name in [f['tag'] for f in dm.EXPORT_FORMATS])
-
         task, _ = self._generate_task()
-        project = dm.TaskProject.from_task(
-            Task.objects.get(pk=task["id"]), self.user.username)
 
-        with tempfile.TemporaryDirectory() as test_dir:
-            project.export(format_name, test_dir, save_images=save_images)
+        with tempfile.TemporaryDirectory() as temp_dir:
+            file_path = osp.join(temp_dir, format_name)
+            dm.task.export_task(task["id"], file_path,
+                format_name, save_images=save_images)
 
-            self.assertTrue(os.listdir(test_dir))
+            with open(file_path, 'rb') as f:
+                self.assertTrue(len(f.read()) != 0)
 
     def test_datumaro(self):
-        self._test_export(dm.EXPORT_FORMAT_DATUMARO_PROJECT, save_images=False)
+        self._test_export('Datumaro 1.0', save_images=False)
 
     def test_coco(self):
-        self._test_export('cvat_coco', save_images=True)
+        self._test_export('COCO 1.0', save_images=True)
 
     def test_voc(self):
-        self._test_export('cvat_voc', save_images=True)
+        self._test_export('PASCAL VOC 1.1', save_images=True)
 
-    def test_tf_detection_api(self):
-        self._test_export('cvat_tfrecord', save_images=True)
+    def test_tf_record(self):
+        self._test_export('TFRecord 1.0', save_images=True)
 
     def test_yolo(self):
-        self._test_export('cvat_yolo', save_images=True)
+        self._test_export('YOLO 1.1', save_images=True)
 
     def test_mot(self):
-        self._test_export('cvat_mot', save_images=True)
+        self._test_export('MOT 1.1', save_images=True)
 
     def test_labelme(self):
-        self._test_export('cvat_label_me', save_images=True)
+        self._test_export('LabelMe 3.0', save_images=True)
+
+    def test_mask(self):
+        self._test_export('Segmentation mask 1.1', save_images=True)
+
+    def test_cvat_video(self):
+        self._test_export('CVAT for video 1.1', save_images=True)
+
+    def test_cvat_images(self):
+        self._test_export('CVAT for images 1.1', save_images=True)
+
+    def test_export_formats_query(self):
+        formats = dm.views.get_export_formats()
+
+        self.assertEqual(len(formats), 10)
 
-    def test_formats_query(self):
-        formats = dm.get_export_formats()
+    def test_import_formats_query(self):
+        formats = dm.views.get_import_formats()
 
-        expected = set(f['tag'] for f in dm.EXPORT_FORMATS)
-        actual = set(f['tag'] for f in formats)
-        self.assertSetEqual(expected, actual)
+        self.assertEqual(len(formats), 8)
diff --git a/cvat/apps/engine/tests/test_data_manager.py b/cvat/apps/dataset_manager/tests/test_annotation.py
similarity index 94%
rename from cvat/apps/engine/tests/test_data_manager.py
rename to cvat/apps/dataset_manager/tests/test_annotation.py
index 968b57525f6..2db3969906a 100644
--- a/cvat/apps/engine/tests/test_data_manager.py
+++ b/cvat/apps/dataset_manager/tests/test_annotation.py
@@ -2,7 +2,7 @@
 #
 # SPDX-License-Identifier: MIT
 
-from cvat.apps.engine.data_manager import TrackManager
+from cvat.apps.dataset_manager.annotation import TrackManager
 
 from unittest import TestCase
 
diff --git a/cvat/apps/dataset_manager/views.py b/cvat/apps/dataset_manager/views.py
new file mode 100644
index 00000000000..3d77809b1c5
--- /dev/null
+++ b/cvat/apps/dataset_manager/views.py
@@ -0,0 +1,107 @@
+# Copyright (C) 2019-2020 Intel Corporation
+#
+# SPDX-License-Identifier: MIT
+
+import os
+import os.path as osp
+import tempfile
+from datetime import timedelta
+
+import django_rq
+from django.utils import timezone
+
+import cvat.apps.dataset_manager.task as task
+from cvat.apps.engine.log import slogger
+from cvat.apps.engine.models import Task
+from datumaro.cli.util import make_file_name
+from datumaro.util import to_snake_case
+
+from .formats.registry import EXPORT_FORMATS, IMPORT_FORMATS
+from .util import current_function_name
+
+
+_MODULE_NAME = __package__ + '.' + osp.splitext(osp.basename(__file__))[0]
+def log_exception(logger=None, exc_info=True):
+    if logger is None:
+        logger = slogger
+    logger.exception("[%s @ %s]: exception occurred" % \
+            (_MODULE_NAME, current_function_name(2)),
+        exc_info=exc_info)
+
+
+def get_export_cache_dir(db_task):
+    return osp.join(db_task.get_task_dirname(), 'export_cache')
+
+DEFAULT_CACHE_TTL = timedelta(hours=10)
+CACHE_TTL = DEFAULT_CACHE_TTL
+
+
+def export_task(task_id, dst_format, server_url=None, save_images=False):
+    try:
+        db_task = Task.objects.get(pk=task_id)
+
+        cache_dir = get_export_cache_dir(db_task)
+
+        exporter = EXPORT_FORMATS[dst_format]
+        output_base = '%s_%s' % ('dataset' if save_images else 'task',
+            make_file_name(to_snake_case(dst_format)))
+        output_path = '%s.%s' % (output_base, exporter.EXT)
+        output_path = osp.join(cache_dir, output_path)
+
+        task_time = timezone.localtime(db_task.updated_date).timestamp()
+        if not (osp.exists(output_path) and \
+                task_time <= osp.getmtime(output_path)):
+            os.makedirs(cache_dir, exist_ok=True)
+            with tempfile.TemporaryDirectory(dir=cache_dir) as temp_dir:
+                temp_file = osp.join(temp_dir, 'result')
+                task.export_task(task_id, temp_file, dst_format,
+                    server_url=server_url, save_images=save_images)
+                os.replace(temp_file, output_path)
+
+            archive_ctime = osp.getctime(output_path)
+            scheduler = django_rq.get_scheduler()
+            cleaning_job = scheduler.enqueue_in(time_delta=CACHE_TTL,
+                func=clear_export_cache,
+                task_id=task_id,
+                file_path=output_path, file_ctime=archive_ctime)
+            slogger.task[task_id].info(
+                "The task '{}' is exported as '{}' at '{}' "
+                "and available for downloading for the next {}. "
+                "Export cache cleaning job is enqueued, id '{}'".format(
+                db_task.name, dst_format, output_path, CACHE_TTL,
+                cleaning_job.id))
+
+        return output_path
+    except Exception:
+        log_exception(slogger.task[task_id])
+        raise
+
+def export_task_as_dataset(task_id, dst_format=None, server_url=None):
+    return export_task(task_id, dst_format, server_url=server_url, save_images=True)
+
+def export_task_annotations(task_id, dst_format=None, server_url=None):
+    return export_task(task_id, dst_format, server_url=server_url, save_images=False)
+
+def clear_export_cache(task_id, file_path, file_ctime):
+    try:
+        if osp.exists(file_path) and osp.getctime(file_path) == file_ctime:
+            os.remove(file_path)
+            slogger.task[task_id].info(
+                "Export cache file '{}' successfully removed" \
+                .format(file_path))
+    except Exception:
+        log_exception(slogger.task[task_id])
+        raise
+
+
+def get_export_formats():
+    return list(EXPORT_FORMATS.values())
+
+def get_import_formats():
+    return list(IMPORT_FORMATS.values())
+
+def get_all_formats():
+    return {
+        'importers': get_import_formats(),
+        'exporters': get_export_formats(),
+    }
\ No newline at end of file
diff --git a/cvat/apps/documentation/user_guide.md b/cvat/apps/documentation/user_guide.md
index 4d8ef78b05d..b19e960273a 100644
--- a/cvat/apps/documentation/user_guide.md
+++ b/cvat/apps/documentation/user_guide.md
@@ -223,28 +223,24 @@ Go to the [Django administration panel](http://localhost:8080/admin). There you
 1.  The Dashboard contains elements and each of them relates to a separate task. They are sorted in creation order.
     Each element contains: task name, preview, progress bar, button ``Open``, and menu ``Actions``.
     Each button is responsible for a in menu ``Actions`` specific function:
-    - ``Dump Annotation`` — download an annotation file from a task. Several formats are available:
-      - [CVAT XML 1.1 for video](/cvat/apps/documentation/xml_format.md#interpolation)
+    - ``Dump Annotation`` and ``Export as a dataset`` — download annotations or
+        annotations and images in a specific format. The following formats are available:
+      - [CVAT for video](/cvat/apps/documentation/xml_format.md#interpolation)
       is highlighted if a task has the interpolation mode.
-      - [CVAT XML 1.1 for images](/cvat/apps/documentation/xml_format.md#annotation)
+      - [CVAT for images](/cvat/apps/documentation/xml_format.md#annotation)
       is highlighted if a task has the annotation mode. 
-      - [PASCAL VOC ZIP 1.1](http://host.robots.ox.ac.uk/pascal/VOC/)
-      - [YOLO ZIP 1.1](https://pjreddie.com/darknet/yolo/)
-      - [COCO JSON 1.0](http://cocodataset.org/#format-data)
-      - ``MASK ZIP 1.0`` — archive contains a mask of each frame in the png format and a text file
-      with the value of each color.
-      - [TFRecord ZIP 1.0](https://www.tensorflow.org/tutorials/load_data/tf_records)
-      - [MOT CSV 1.0](https://motchallenge.net/)
-      - [LabelMe ZIP 3.0 for image](http://labelme.csail.mit.edu/Release3.0/)
-    - ``Upload annotation`` is possible in same format as ``Dump annotation``, with exception of ``MASK ZIP 1.0``
-      format and without choosing whether [CVAT XML 1.1](/cvat/apps/documentation/xml_format.md) 
-      and [LabelMe ZIP 3.0](http://labelme.csail.mit.edu/Release3.0/)
-      refers to an image or video.
-    - ``Export as a dataset`` — download a data set from a task. Several formats are available:
-      - [Datumaro](https://github.com/opencv/cvat/blob/develop/datumaro/docs/design.md)
-      - [Pascal VOC 2012](http://host.robots.ox.ac.uk/pascal/VOC/)
-      - [MS COCO](http://cocodataset.org/#format-data)
+      - [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/)
+      - [(VOC) Segmentation mask](http://host.robots.ox.ac.uk/pascal/VOC/) —
+          archive contains class and instance masks for each frame in the png
+          format and a text file with the value of each color.
       - [YOLO](https://pjreddie.com/darknet/yolo/)
+      - [COCO](http://cocodataset.org/#format-data)
+      - [TFRecord](https://www.tensorflow.org/tutorials/load_data/tf_records)
+      - [MOT](https://motchallenge.net/)
+      - [LabelMe 3.0](http://labelme.csail.mit.edu/Release3.0/)
+      - [Datumaro](https://github.com/opencv/cvat/blob/develop/datumaro/)
+    - ``Upload annotation`` is available in the same formats as in ``Dump annotation``.
+      - [CVAT](/cvat/apps/documentation/xml_format.md) accepts both video and image sub-formats.
     - ``Automatic Annotation`` — automatic annotation with  OpenVINO toolkit.
       Presence depends on how you build CVAT instance.
     - ``Open bug tracker`` — opens a link to Issue tracker.
@@ -543,22 +539,24 @@ Read more in the section [attribute annotation mode (advanced)](#attribute-annot
 
     ![](static/documentation/images/image028.jpg)
 
-1.  Choose the format dump of the annotation file. Several formats are available:
-    - [CVAT XML 1.1 for video](/cvat/apps/documentation/xml_format.md#interpolation)
-    is highlighted if a task has the interpolation mode
-    - [CVAT XML 1.1 for images](/cvat/apps/documentation/xml_format.md#annotation)
-    is highlighted if a task has the annotation mode
+1.  Choose format dump annotation file. Dump annotation are available in several formats:
+    - [CVAT for video](/cvat/apps/documentation/xml_format.md#interpolation)
+      is highlighted if a task has the interpolation mode.
+    - [CVAT for images](/cvat/apps/documentation/xml_format.md#annotation)
+      is highlighted if a task has the annotation mode.
 
     ![](static/documentation/images/image029.jpg "Example XML format") 
 
-    - [PASCAL VOC ZIP 1.1](http://host.robots.ox.ac.uk/pascal/VOC/)
-    - [YOLO ZIP 1.1](https://pjreddie.com/darknet/yolo/)
-    - [COCO JSON 1.0](http://cocodataset.org/#format-data)
-    - ``MASK ZIP 1.1`` — archive contains a mask of each frame in the png format and a text file with
-    the value of each color
-    - [TFRecord ZIP 1.0](https://www.tensorflow.org/tutorials/load_data/tf_records) 
-    - [MOT ZIP 1.1](https://motchallenge.net/)
-    - [LabelMe ZIP 3.0 for image](http://labelme.csail.mit.edu/Release3.0/)
+    - [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/)
+    - [(VOC) Segmentation mask](http://host.robots.ox.ac.uk/pascal/VOC/) —
+      archive contains class and instance masks for each frame in the png
+      format and a text file with the value of each color.
+    - [YOLO](https://pjreddie.com/darknet/yolo/)
+    - [COCO](http://cocodataset.org/#format-data)
+    - [TFRecord](https://www.tensorflow.org/tutorials/load_data/tf_records)
+    - [MOT](https://motchallenge.net/)
+    - [LabelMe 3.0](http://labelme.csail.mit.edu/Release3.0/)
+    - [Datumaro](https://github.com/opencv/cvat/blob/develop/datumaro/)
 
 ### Task synchronization with a repository
 
diff --git a/cvat/apps/engine/annotation.py b/cvat/apps/engine/annotation.py
deleted file mode 100644
index ad005bd13ec..00000000000
--- a/cvat/apps/engine/annotation.py
+++ /dev/null
@@ -1,764 +0,0 @@
-# Copyright (C) 2018 Intel Corporation
-#
-# SPDX-License-Identifier: MIT
-
-import os
-from enum import Enum
-from collections import OrderedDict
-from django.utils import timezone
-
-from django.conf import settings
-from django.db import transaction
-
-from cvat.apps.profiler import silk_profile
-from cvat.apps.engine.plugins import plugin_decorator
-from cvat.apps.annotation.annotation import AnnotationIR, Annotation
-from cvat.apps.engine.utils import execute_python_code, import_modules
-
-from . import models
-from .data_manager import DataManager
-from .log import slogger
-from . import serializers
-
-"""dot.notation access to dictionary attributes"""
-class dotdict(OrderedDict):
-    __getattr__ = OrderedDict.get
-    __setattr__ = OrderedDict.__setitem__
-    __delattr__ = OrderedDict.__delitem__
-    __eq__ = lambda self, other: self.id == other.id
-    __hash__ = lambda self: self.id
-
-class PatchAction(str, Enum):
-    CREATE = "create"
-    UPDATE = "update"
-    DELETE = "delete"
-
-    @classmethod
-    def values(cls):
-        return [item.value for item in cls]
-
-    def __str__(self):
-        return self.value
-
-@silk_profile(name="GET job data")
-@transaction.atomic
-def get_job_data(pk, user):
-    annotation = JobAnnotation(pk, user)
-    annotation.init_from_db()
-
-    return annotation.data
-
-@silk_profile(name="POST job data")
-@transaction.atomic
-def put_job_data(pk, user, data):
-    annotation = JobAnnotation(pk, user)
-    annotation.put(data)
-
-    return annotation.data
-
-@silk_profile(name="UPDATE job data")
-@plugin_decorator
-@transaction.atomic
-def patch_job_data(pk, user, data, action):
-    annotation = JobAnnotation(pk, user)
-    if action == PatchAction.CREATE:
-        annotation.create(data)
-    elif action == PatchAction.UPDATE:
-        annotation.update(data)
-    elif action == PatchAction.DELETE:
-        annotation.delete(data)
-
-    return annotation.data
-
-@silk_profile(name="DELETE job data")
-@transaction.atomic
-def delete_job_data(pk, user):
-    annotation = JobAnnotation(pk, user)
-    annotation.delete()
-
-@silk_profile(name="GET task data")
-@transaction.atomic
-def get_task_data(pk, user):
-    annotation = TaskAnnotation(pk, user)
-    annotation.init_from_db()
-
-    return annotation.data
-
-@silk_profile(name="POST task data")
-@transaction.atomic
-def put_task_data(pk, user, data):
-    annotation = TaskAnnotation(pk, user)
-    annotation.put(data)
-
-    return annotation.data
-
-@silk_profile(name="UPDATE task data")
-@transaction.atomic
-def patch_task_data(pk, user, data, action):
-    annotation = TaskAnnotation(pk, user)
-    if action == PatchAction.CREATE:
-        annotation.create(data)
-    elif action == PatchAction.UPDATE:
-        annotation.update(data)
-    elif action == PatchAction.DELETE:
-        annotation.delete(data)
-
-    return annotation.data
-
-@transaction.atomic
-def load_task_data(pk, user, filename, loader):
-    annotation = TaskAnnotation(pk, user)
-    annotation.upload(filename, loader)
-
-@transaction.atomic
-def load_job_data(pk, user, filename, loader):
-    annotation = JobAnnotation(pk, user)
-    annotation.upload(filename, loader)
-
-@silk_profile(name="DELETE task data")
-@transaction.atomic
-def delete_task_data(pk, user):
-    annotation = TaskAnnotation(pk, user)
-    annotation.delete()
-
-def dump_task_data(pk, user, filename, dumper, scheme, host):
-    # For big tasks dump function may run for a long time and
-    # we dont need to acquire lock after _AnnotationForTask instance
-    # has been initialized from DB.
-    # But there is the bug with corrupted dump file in case 2 or more dump request received at the same time.
-    # https://github.com/opencv/cvat/issues/217
-    with transaction.atomic():
-        annotation = TaskAnnotation(pk, user)
-        annotation.init_from_db()
-
-    annotation.dump(filename, dumper, scheme, host)
-
-def bulk_create(db_model, objects, flt_param):
-    if objects:
-        if flt_param:
-            if 'postgresql' in settings.DATABASES["default"]["ENGINE"]:
-                return db_model.objects.bulk_create(objects)
-            else:
-                ids = list(db_model.objects.filter(**flt_param).values_list('id', flat=True))
-                db_model.objects.bulk_create(objects)
-
-                return list(db_model.objects.exclude(id__in=ids).filter(**flt_param))
-        else:
-            return db_model.objects.bulk_create(objects)
-
-    return []
-
-def _merge_table_rows(rows, keys_for_merge, field_id):
-    # It is necessary to keep a stable order of original rows
-    # (e.g. for tracked boxes). Otherwise prev_box.frame can be bigger
-    # than next_box.frame.
-    merged_rows = OrderedDict()
-
-    # Group all rows by field_id. In grouped rows replace fields in
-    # accordance with keys_for_merge structure.
-    for row in rows:
-        row_id = row[field_id]
-        if not row_id in merged_rows:
-            merged_rows[row_id] = dotdict(row)
-            for key in keys_for_merge:
-                merged_rows[row_id][key] = []
-
-        for key in keys_for_merge:
-            item = dotdict({v.split('__', 1)[-1]:row[v] for v in keys_for_merge[key]})
-            if item.id is not None:
-                merged_rows[row_id][key].append(item)
-
-    # Remove redundant keys from final objects
-    redundant_keys = [item for values in keys_for_merge.values() for item in values]
-    for i in merged_rows:
-        for j in redundant_keys:
-            del merged_rows[i][j]
-
-    return list(merged_rows.values())
-
-class JobAnnotation:
-    def __init__(self, pk, user):
-        self.user = user
-        self.db_job = models.Job.objects.select_related('segment__task') \
-            .select_for_update().get(id=pk)
-
-        db_segment = self.db_job.segment
-        self.start_frame = db_segment.start_frame
-        self.stop_frame = db_segment.stop_frame
-        self.ir_data = AnnotationIR()
-
-        # pylint: disable=bad-continuation
-        self.logger = slogger.job[self.db_job.id]
-        self.db_labels = {db_label.id:db_label
-            for db_label in db_segment.task.label_set.all()}
-
-        self.db_attributes = {}
-        for db_label in self.db_labels.values():
-            self.db_attributes[db_label.id] = {
-                "mutable": OrderedDict(),
-                "immutable": OrderedDict(),
-                "all": OrderedDict(),
-            }
-            for db_attr in db_label.attributespec_set.all():
-                default_value = dotdict([
-                    ('spec_id', db_attr.id),
-                    ('value', db_attr.default_value),
-                ])
-                if db_attr.mutable:
-                    self.db_attributes[db_label.id]["mutable"][db_attr.id] = default_value
-                else:
-                    self.db_attributes[db_label.id]["immutable"][db_attr.id] = default_value
-
-                self.db_attributes[db_label.id]["all"][db_attr.id] = default_value
-
-    def reset(self):
-        self.ir_data.reset()
-
-    def _save_tracks_to_db(self, tracks):
-        db_tracks = []
-        db_track_attrvals = []
-        db_shapes = []
-        db_shape_attrvals = []
-
-        for track in tracks:
-            track_attributes = track.pop("attributes", [])
-            shapes = track.pop("shapes")
-            db_track = models.LabeledTrack(job=self.db_job, **track)
-            if db_track.label_id not in self.db_labels:
-                raise AttributeError("label_id `{}` is invalid".format(db_track.label_id))
-
-            for attr in track_attributes:
-                db_attrval = models.LabeledTrackAttributeVal(**attr)
-                if db_attrval.spec_id not in self.db_attributes[db_track.label_id]["immutable"]:
-                    raise AttributeError("spec_id `{}` is invalid".format(db_attrval.spec_id))
-                db_attrval.track_id = len(db_tracks)
-                db_track_attrvals.append(db_attrval)
-
-            for shape in shapes:
-                shape_attributes = shape.pop("attributes", [])
-                # FIXME: need to clamp points (be sure that all of them inside the image)
-                # Should we check here or implement a validator?
-                db_shape = models.TrackedShape(**shape)
-                db_shape.track_id = len(db_tracks)
-
-                for attr in shape_attributes:
-                    db_attrval = models.TrackedShapeAttributeVal(**attr)
-                    if db_attrval.spec_id not in self.db_attributes[db_track.label_id]["mutable"]:
-                        raise AttributeError("spec_id `{}` is invalid".format(db_attrval.spec_id))
-                    db_attrval.shape_id = len(db_shapes)
-                    db_shape_attrvals.append(db_attrval)
-
-                db_shapes.append(db_shape)
-                shape["attributes"] = shape_attributes
-
-            db_tracks.append(db_track)
-            track["attributes"] = track_attributes
-            track["shapes"] = shapes
-
-        db_tracks = bulk_create(
-            db_model=models.LabeledTrack,
-            objects=db_tracks,
-            flt_param={"job_id": self.db_job.id}
-        )
-
-        for db_attrval in db_track_attrvals:
-            db_attrval.track_id = db_tracks[db_attrval.track_id].id
-        bulk_create(
-            db_model=models.LabeledTrackAttributeVal,
-            objects=db_track_attrvals,
-            flt_param={}
-        )
-
-        for db_shape in db_shapes:
-            db_shape.track_id = db_tracks[db_shape.track_id].id
-
-        db_shapes = bulk_create(
-            db_model=models.TrackedShape,
-            objects=db_shapes,
-            flt_param={"track__job_id": self.db_job.id}
-        )
-
-        for db_attrval in db_shape_attrvals:
-            db_attrval.shape_id = db_shapes[db_attrval.shape_id].id
-
-        bulk_create(
-            db_model=models.TrackedShapeAttributeVal,
-            objects=db_shape_attrvals,
-            flt_param={}
-        )
-
-        shape_idx = 0
-        for track, db_track in zip(tracks, db_tracks):
-            track["id"] = db_track.id
-            for shape in track["shapes"]:
-                shape["id"] = db_shapes[shape_idx].id
-                shape_idx += 1
-
-        self.ir_data.tracks = tracks
-
-    def _save_shapes_to_db(self, shapes):
-        db_shapes = []
-        db_attrvals = []
-
-        for shape in shapes:
-            attributes = shape.pop("attributes", [])
-            # FIXME: need to clamp points (be sure that all of them inside the image)
-            # Should we check here or implement a validator?
-            db_shape = models.LabeledShape(job=self.db_job, **shape)
-            if db_shape.label_id not in self.db_labels:
-                raise AttributeError("label_id `{}` is invalid".format(db_shape.label_id))
-
-            for attr in attributes:
-                db_attrval = models.LabeledShapeAttributeVal(**attr)
-                if db_attrval.spec_id not in self.db_attributes[db_shape.label_id]["all"]:
-                    raise AttributeError("spec_id `{}` is invalid".format(db_attrval.spec_id))
-
-                db_attrval.shape_id = len(db_shapes)
-                db_attrvals.append(db_attrval)
-
-            db_shapes.append(db_shape)
-            shape["attributes"] = attributes
-
-        db_shapes = bulk_create(
-            db_model=models.LabeledShape,
-            objects=db_shapes,
-            flt_param={"job_id": self.db_job.id}
-        )
-
-        for db_attrval in db_attrvals:
-            db_attrval.shape_id = db_shapes[db_attrval.shape_id].id
-
-        bulk_create(
-            db_model=models.LabeledShapeAttributeVal,
-            objects=db_attrvals,
-            flt_param={}
-        )
-
-        for shape, db_shape in zip(shapes, db_shapes):
-            shape["id"] = db_shape.id
-
-        self.ir_data.shapes = shapes
-
-    def _save_tags_to_db(self, tags):
-        db_tags = []
-        db_attrvals = []
-
-        for tag in tags:
-            attributes = tag.pop("attributes", [])
-            db_tag = models.LabeledImage(job=self.db_job, **tag)
-            if db_tag.label_id not in self.db_labels:
-                raise AttributeError("label_id `{}` is invalid".format(db_tag.label_id))
-
-            for attr in attributes:
-                db_attrval = models.LabeledImageAttributeVal(**attr)
-                if db_attrval.spec_id not in self.db_attributes[db_tag.label_id]["all"]:
-                    raise AttributeError("spec_id `{}` is invalid".format(db_attrval.spec_id))
-                db_attrval.tag_id = len(db_tags)
-                db_attrvals.append(db_attrval)
-
-            db_tags.append(db_tag)
-            tag["attributes"] = attributes
-
-        db_tags = bulk_create(
-            db_model=models.LabeledImage,
-            objects=db_tags,
-            flt_param={"job_id": self.db_job.id}
-        )
-
-        for db_attrval in db_attrvals:
-            db_attrval.image_id = db_tags[db_attrval.tag_id].id
-
-        bulk_create(
-            db_model=models.LabeledImageAttributeVal,
-            objects=db_attrvals,
-            flt_param={}
-        )
-
-        for tag, db_tag in zip(tags, db_tags):
-            tag["id"] = db_tag.id
-
-        self.ir_data.tags = tags
-
-    def _commit(self):
-        db_prev_commit = self.db_job.commits.last()
-        db_curr_commit = models.JobCommit()
-        if db_prev_commit:
-            db_curr_commit.version = db_prev_commit.version + 1
-        else:
-            db_curr_commit.version = 1
-        db_curr_commit.job = self.db_job
-        db_curr_commit.message = "Changes: tags - {}; shapes - {}; tracks - {}".format(
-            len(self.ir_data.tags), len(self.ir_data.shapes), len(self.ir_data.tracks))
-        db_curr_commit.save()
-        self.ir_data.version = db_curr_commit.version
-
-    def _set_updated_date(self):
-        db_task = self.db_job.segment.task
-        db_task.updated_date = timezone.now()
-        db_task.save()
-
-    def _save_to_db(self, data):
-        self.reset()
-        self._save_tags_to_db(data["tags"])
-        self._save_shapes_to_db(data["shapes"])
-        self._save_tracks_to_db(data["tracks"])
-
-        return self.ir_data.tags or self.ir_data.shapes or self.ir_data.tracks
-
-    def _create(self, data):
-        if self._save_to_db(data):
-            self._set_updated_date()
-            self.db_job.save()
-
-    def create(self, data):
-        self._create(data)
-        self._commit()
-
-    def put(self, data):
-        self._delete()
-        self._create(data)
-        self._commit()
-
-    def update(self, data):
-        self._delete(data)
-        self._create(data)
-        self._commit()
-
-    def _delete(self, data=None):
-        deleted_shapes = 0
-        if data is None:
-            deleted_shapes += self.db_job.labeledimage_set.all().delete()[0]
-            deleted_shapes += self.db_job.labeledshape_set.all().delete()[0]
-            deleted_shapes += self.db_job.labeledtrack_set.all().delete()[0]
-        else:
-            labeledimage_ids = [image["id"] for image in data["tags"]]
-            labeledshape_ids = [shape["id"] for shape in data["shapes"]]
-            labeledtrack_ids = [track["id"] for track in data["tracks"]]
-            labeledimage_set = self.db_job.labeledimage_set
-            labeledimage_set = labeledimage_set.filter(pk__in=labeledimage_ids)
-            labeledshape_set = self.db_job.labeledshape_set
-            labeledshape_set = labeledshape_set.filter(pk__in=labeledshape_ids)
-            labeledtrack_set = self.db_job.labeledtrack_set
-            labeledtrack_set = labeledtrack_set.filter(pk__in=labeledtrack_ids)
-
-            # It is not important for us that data had some "invalid" objects
-            # which were skipped (not acutally deleted). The main idea is to
-            # say that all requested objects are absent in DB after the method.
-            self.ir_data.tags = data['tags']
-            self.ir_data.shapes = data['shapes']
-            self.ir_data.tracks = data['tracks']
-
-            deleted_shapes += labeledimage_set.delete()[0]
-            deleted_shapes += labeledshape_set.delete()[0]
-            deleted_shapes += labeledtrack_set.delete()[0]
-
-        if deleted_shapes:
-            self._set_updated_date()
-
-    def delete(self, data=None):
-        self._delete(data)
-        self._commit()
-
-    @staticmethod
-    def _extend_attributes(attributeval_set, default_attribute_values):
-        shape_attribute_specs_set = set(attr.spec_id for attr in attributeval_set)
-        for db_attr in default_attribute_values:
-            if db_attr.spec_id not in shape_attribute_specs_set:
-                attributeval_set.append(dotdict([
-                    ('spec_id', db_attr.spec_id),
-                    ('value', db_attr.value),
-                ]))
-
-    def _init_tags_from_db(self):
-        db_tags = self.db_job.labeledimage_set.prefetch_related(
-            "label",
-            "labeledimageattributeval_set"
-        ).values(
-            'id',
-            'frame',
-            'label_id',
-            'group',
-            'labeledimageattributeval__spec_id',
-            'labeledimageattributeval__value',
-            'labeledimageattributeval__id',
-        ).order_by('frame')
-
-        db_tags = _merge_table_rows(
-            rows=db_tags,
-            keys_for_merge={
-                "labeledimageattributeval_set": [
-                    'labeledimageattributeval__spec_id',
-                    'labeledimageattributeval__value',
-                    'labeledimageattributeval__id',
-                ],
-            },
-            field_id='id',
-        )
-
-        for db_tag in db_tags:
-            self._extend_attributes(db_tag.labeledimageattributeval_set,
-                self.db_attributes[db_tag.label_id]["all"].values())
-
-        serializer = serializers.LabeledImageSerializer(db_tags, many=True)
-        self.ir_data.tags = serializer.data
-
-    def _init_shapes_from_db(self):
-        db_shapes = self.db_job.labeledshape_set.prefetch_related(
-            "label",
-            "labeledshapeattributeval_set"
-        ).values(
-            'id',
-            'label_id',
-            'type',
-            'frame',
-            'group',
-            'occluded',
-            'z_order',
-            'points',
-            'labeledshapeattributeval__spec_id',
-            'labeledshapeattributeval__value',
-            'labeledshapeattributeval__id',
-            ).order_by('frame')
-
-        db_shapes = _merge_table_rows(
-            rows=db_shapes,
-            keys_for_merge={
-                'labeledshapeattributeval_set': [
-                    'labeledshapeattributeval__spec_id',
-                    'labeledshapeattributeval__value',
-                    'labeledshapeattributeval__id',
-                ],
-            },
-            field_id='id',
-        )
-        for db_shape in db_shapes:
-            self._extend_attributes(db_shape.labeledshapeattributeval_set,
-                self.db_attributes[db_shape.label_id]["all"].values())
-
-        serializer = serializers.LabeledShapeSerializer(db_shapes, many=True)
-        self.ir_data.shapes = serializer.data
-
-    def _init_tracks_from_db(self):
-        db_tracks = self.db_job.labeledtrack_set.prefetch_related(
-            "label",
-            "labeledtrackattributeval_set",
-            "trackedshape_set__trackedshapeattributeval_set"
-        ).values(
-            "id",
-            "frame",
-            "label_id",
-            "group",
-            "labeledtrackattributeval__spec_id",
-            "labeledtrackattributeval__value",
-            "labeledtrackattributeval__id",
-            "trackedshape__type",
-            "trackedshape__occluded",
-            "trackedshape__z_order",
-            "trackedshape__points",
-            "trackedshape__id",
-            "trackedshape__frame",
-            "trackedshape__outside",
-            "trackedshape__trackedshapeattributeval__spec_id",
-            "trackedshape__trackedshapeattributeval__value",
-            "trackedshape__trackedshapeattributeval__id",
-        ).order_by('id', 'trackedshape__frame')
-
-        db_tracks = _merge_table_rows(
-            rows=db_tracks,
-            keys_for_merge={
-                "labeledtrackattributeval_set": [
-                    "labeledtrackattributeval__spec_id",
-                    "labeledtrackattributeval__value",
-                    "labeledtrackattributeval__id",
-                ],
-                "trackedshape_set":[
-                    "trackedshape__type",
-                    "trackedshape__occluded",
-                    "trackedshape__z_order",
-                    "trackedshape__points",
-                    "trackedshape__id",
-                    "trackedshape__frame",
-                    "trackedshape__outside",
-                    "trackedshape__trackedshapeattributeval__spec_id",
-                    "trackedshape__trackedshapeattributeval__value",
-                    "trackedshape__trackedshapeattributeval__id",
-                ],
-            },
-            field_id="id",
-        )
-
-        for db_track in db_tracks:
-            db_track["trackedshape_set"] = _merge_table_rows(db_track["trackedshape_set"], {
-                'trackedshapeattributeval_set': [
-                    'trackedshapeattributeval__value',
-                    'trackedshapeattributeval__spec_id',
-                    'trackedshapeattributeval__id',
-                ]
-            }, 'id')
-
-            # A result table can consist many equal rows for track/shape attributes
-            # We need filter unique attributes manually
-            db_track["labeledtrackattributeval_set"] = list(set(db_track["labeledtrackattributeval_set"]))
-            self._extend_attributes(db_track.labeledtrackattributeval_set,
-                self.db_attributes[db_track.label_id]["immutable"].values())
-
-            default_attribute_values = self.db_attributes[db_track.label_id]["mutable"].values()
-            for db_shape in db_track["trackedshape_set"]:
-                db_shape["trackedshapeattributeval_set"] = list(
-                    set(db_shape["trackedshapeattributeval_set"])
-                )
-                # in case of trackedshapes need to interpolate attriute values and extend it
-                # by previous shape attribute values (not default values)
-                self._extend_attributes(db_shape["trackedshapeattributeval_set"], default_attribute_values)
-                default_attribute_values = db_shape["trackedshapeattributeval_set"]
-
-
-        serializer = serializers.LabeledTrackSerializer(db_tracks, many=True)
-        self.ir_data.tracks = serializer.data
-
-    def _init_version_from_db(self):
-        db_commit = self.db_job.commits.last()
-        self.ir_data.version = db_commit.version if db_commit else 0
-
-    def init_from_db(self):
-        self._init_tags_from_db()
-        self._init_shapes_from_db()
-        self._init_tracks_from_db()
-        self._init_version_from_db()
-
-    @property
-    def data(self):
-        return self.ir_data.data
-
-    def upload(self, annotation_file, loader):
-        annotation_importer = Annotation(
-            annotation_ir=self.ir_data,
-            db_task=self.db_job.segment.task,
-            create_callback=self.create,
-            )
-        self.delete()
-        db_format = loader.annotation_format
-        with open(annotation_file, 'rb') as file_object:
-            source_code = open(os.path.join(settings.BASE_DIR, db_format.handler_file.name)).read()
-            global_vars = globals()
-            imports = import_modules(source_code)
-            global_vars.update(imports)
-
-            execute_python_code(source_code, global_vars)
-
-            global_vars["file_object"] = file_object
-            global_vars["annotations"] = annotation_importer
-
-            execute_python_code("{}(file_object, annotations)".format(loader.handler), global_vars)
-        self.create(annotation_importer.data.slice(self.start_frame, self.stop_frame).serialize())
-
-class TaskAnnotation:
-    def __init__(self, pk, user):
-        self.user = user
-        self.db_task = models.Task.objects.prefetch_related("data__images").get(id=pk)
-
-        # Postgres doesn't guarantee an order by default without explicit order_by
-        self.db_jobs = models.Job.objects.select_related("segment").filter(segment__task_id=pk).order_by('id')
-        self.ir_data = AnnotationIR()
-
-    def reset(self):
-        self.ir_data.reset()
-
-    def _patch_data(self, data, action):
-        _data = data if isinstance(data, AnnotationIR) else AnnotationIR(data)
-        splitted_data = {}
-        jobs = {}
-        for db_job in self.db_jobs:
-            jid = db_job.id
-            start = db_job.segment.start_frame
-            stop = db_job.segment.stop_frame
-            jobs[jid] = { "start": start, "stop": stop }
-            splitted_data[jid] = _data.slice(start, stop)
-
-        for jid, job_data in splitted_data.items():
-            _data = AnnotationIR()
-            if action is None:
-                _data.data = put_job_data(jid, self.user, job_data)
-            else:
-                _data.data = patch_job_data(jid, self.user, job_data, action)
-            if _data.version > self.ir_data.version:
-                self.ir_data.version = _data.version
-            self._merge_data(_data, jobs[jid]["start"], self.db_task.overlap)
-
-    def _merge_data(self, data, start_frame, overlap):
-        data_manager = DataManager(self.ir_data)
-        data_manager.merge(data, start_frame, overlap)
-
-    def put(self, data):
-        self._patch_data(data, None)
-
-    def create(self, data):
-        self._patch_data(data, PatchAction.CREATE)
-
-    def update(self, data):
-        self._patch_data(data, PatchAction.UPDATE)
-
-    def delete(self, data=None):
-        if data:
-            self._patch_data(data, PatchAction.DELETE)
-        else:
-            for db_job in self.db_jobs:
-                delete_job_data(db_job.id, self.user)
-
-    def init_from_db(self):
-        self.reset()
-
-        for db_job in self.db_jobs:
-            annotation = JobAnnotation(db_job.id, self.user)
-            annotation.init_from_db()
-            if annotation.ir_data.version > self.ir_data.version:
-                self.ir_data.version = annotation.ir_data.version
-            db_segment = db_job.segment
-            start_frame = db_segment.start_frame
-            overlap = self.db_task.overlap
-            self._merge_data(annotation.ir_data, start_frame, overlap)
-
-    def dump(self, filename, dumper, scheme, host):
-        anno_exporter = Annotation(
-            annotation_ir=self.ir_data,
-            db_task=self.db_task,
-            scheme=scheme,
-            host=host,
-        )
-        db_format = dumper.annotation_format
-
-        with open(filename, 'wb') as dump_file:
-            source_code = open(os.path.join(settings.BASE_DIR, db_format.handler_file.name)).read()
-            global_vars = globals()
-            imports = import_modules(source_code)
-            global_vars.update(imports)
-            execute_python_code(source_code, global_vars)
-            global_vars["file_object"] = dump_file
-            global_vars["annotations"] = anno_exporter
-
-            execute_python_code("{}(file_object, annotations)".format(dumper.handler), global_vars)
-
-    def upload(self, annotation_file, loader):
-        annotation_importer = Annotation(
-            annotation_ir=AnnotationIR(),
-            db_task=self.db_task,
-            create_callback=self.create,
-            )
-        self.delete()
-        db_format = loader.annotation_format
-        with open(annotation_file, 'rb') as file_object:
-            source_code = open(os.path.join(settings.BASE_DIR, db_format.handler_file.name)).read()
-            global_vars = globals()
-            imports = import_modules(source_code)
-            global_vars.update(imports)
-            execute_python_code(source_code, global_vars)
-
-            global_vars["file_object"] = file_object
-            global_vars["annotations"] = annotation_importer
-
-            execute_python_code("{}(file_object, annotations)".format(loader.handler), global_vars)
-        self.create(annotation_importer.data.serialize())
-
-    @property
-    def data(self):
-        return self.ir_data.data
diff --git a/cvat/apps/engine/migrations/0017_db_redesign_20190221.py b/cvat/apps/engine/migrations/0017_db_redesign_20190221.py
index 9c54bacd493..60f6b32218d 100644
--- a/cvat/apps/engine/migrations/0017_db_redesign_20190221.py
+++ b/cvat/apps/engine/migrations/0017_db_redesign_20190221.py
@@ -4,7 +4,7 @@
 from django.db import migrations, models
 import django.db.models.deletion
 from django.conf import settings
-from cvat.apps.engine.annotation import _merge_table_rows
+from cvat.apps.dataset_manager.task import _merge_table_rows
 
 # some modified functions to transer annotation
 def _bulk_create(db_model, db_alias, objects, flt_param):
diff --git a/cvat/apps/engine/serializers.py b/cvat/apps/engine/serializers.py
index 5c8cd9c052b..20791520149 100644
--- a/cvat/apps/engine/serializers.py
+++ b/cvat/apps/engine/serializers.py
@@ -467,3 +467,6 @@ class LogEventSerializer(serializers.Serializer):
     message = serializers.CharField(max_length=4096, required=False)
     payload = serializers.DictField(required=False)
     is_active = serializers.BooleanField()
+
+class AnnotationFileSerializer(serializers.Serializer):
+    annotation_file = serializers.FileField()
\ No newline at end of file
diff --git a/cvat/apps/engine/static/engine/js/annotationUI.js b/cvat/apps/engine/static/engine/js/annotationUI.js
index bc763dfe9af..676e7ce9f4e 100644
--- a/cvat/apps/engine/static/engine/js/annotationUI.js
+++ b/cvat/apps/engine/static/engine/js/annotationUI.js
@@ -67,7 +67,8 @@ function blurAllElements() {
 
 function uploadAnnotation(jobId, shapeCollectionModel, historyModel, annotationSaverModel,
     uploadAnnotationButton, format) {
-    $('#annotationFileSelector').attr('accept', `.${format.format}`);
+    $('#annotationFileSelector').attr('accept',
+        format.ext.split(',').map(x => '.' + x.trimStart()).join(', '));
     $('#annotationFileSelector').one('change', async (changedFileEvent) => {
         const file = changedFileEvent.target.files['0'];
         changedFileEvent.target.value = '';
@@ -76,7 +77,7 @@ function uploadAnnotation(jobId, shapeCollectionModel, historyModel, annotationS
         const annotationData = new FormData();
         annotationData.append('annotation_file', file);
         try {
-            await uploadJobAnnotationRequest(jobId, annotationData, format.display_name);
+            await uploadJobAnnotationRequest(jobId, annotationData, format.name);
             historyModel.empty();
             shapeCollectionModel.empty();
             const data = await $.get(`/api/v1/jobs/${jobId}/annotations`);
@@ -403,21 +404,19 @@ function setupMenu(job, task, shapeCollectionModel,
 
     const loaders = {};
 
-    for (const format of annotationFormats) {
-        for (const dumper of format.dumpers) {
-            const item = $(`<option>${dumper.display_name}</li>`);
+    for (const dumper of annotationFormats.exporters) {
+        const item = $(`<option>${dumper.name}</li>`);
 
-            if (!isDefaultFormat(dumper.display_name, window.cvat.job.mode)) {
-                item.addClass('regular');
-            }
-
-            item.appendTo(downloadButton);
+        if (!isDefaultFormat(dumper.name, window.cvat.job.mode)) {
+            item.addClass('regular');
         }
 
-        for (const loader of format.loaders) {
-            loaders[loader.display_name] = loader;
-            $(`<option class="regular">${loader.display_name}</li>`).appendTo(uploadButton);
-        }
+        item.appendTo(downloadButton);
+    }
+
+    for (const loader of annotationFormats.importers) {
+        loaders[loader.name] = loader;
+        $(`<option class="regular">${loader.name}</li>`).appendTo(uploadButton);
     }
 
     downloadButton.on('change', async (e) => {
@@ -425,7 +424,7 @@ function setupMenu(job, task, shapeCollectionModel,
         downloadButton.prop('value', 'Dump Annotation');
         try {
             downloadButton.prop('disabled', true);
-            await dumpAnnotationRequest(task.id, task.name, dumper);
+            await dumpAnnotationRequest(task.id, dumper);
         } catch (error) {
             showMessage(error.message);
         } finally {
diff --git a/cvat/apps/engine/static/engine/js/base.js b/cvat/apps/engine/static/engine/js/base.js
index 434892aca54..cb1de069c22 100644
--- a/cvat/apps/engine/static/engine/js/base.js
+++ b/cvat/apps/engine/static/engine/js/base.js
@@ -130,14 +130,12 @@ function showOverlay(message) {
     return overlayWindow[0];
 }
 
-async function dumpAnnotationRequest(tid, taskName, format) {
+async function dumpAnnotationRequest(tid, format) {
     // URL Router on the server doesn't work correctly with slashes.
     // So, we have to replace them on the client side
-    taskName = taskName.replace(/\//g, '_');
-    const name = encodeURIComponent(`${tid}_${taskName}`);
     return new Promise((resolve, reject) => {
-        const url = `/api/v1/tasks/${tid}/annotations/${name}`;
-        let queryString = `format=${format}`;
+        const url = `/api/v1/tasks/${tid}/annotations`;
+        let queryString = `format=${encodeURIComponent(format)}`;
 
         async function request() {
             $.get(`${url}?${queryString}`)
@@ -224,6 +222,6 @@ $(document).ready(() => {
 });
 
 function isDefaultFormat(dumperName, taskMode) {
-    return (dumperName === 'CVAT XML 1.1 for videos' && taskMode === 'interpolation')
-    || (dumperName === 'CVAT XML 1.1 for images' && taskMode === 'annotation');
+    return (dumperName === 'CVAT for video 1.1' && taskMode === 'interpolation')
+    || (dumperName === 'CVAT for images 1.1' && taskMode === 'annotation');
 }
diff --git a/cvat/apps/engine/static/engine/js/cvat-core.min.js b/cvat/apps/engine/static/engine/js/cvat-core.min.js
index 1d85f74d2eb..12ccfb2d855 100644
--- a/cvat/apps/engine/static/engine/js/cvat-core.min.js
+++ b/cvat/apps/engine/static/engine/js/cvat-core.min.js
@@ -1,15 +1,15 @@
-window.cvat=function(e){var t={};function n(r){if(t[r])return t[r].exports;var i=t[r]={i:r,l:!1,exports:{}};return e[r].call(i.exports,i,i.exports,n),i.l=!0,i.exports}return n.m=e,n.c=t,n.d=function(e,t,r){n.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:r})},n.r=function(e){"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(e,"__esModule",{value:!0})},n.t=function(e,t){if(1&t&&(e=n(e)),8&t)return e;if(4&t&&"object"==typeof e&&e&&e.__esModule)return e;var r=Object.create(null);if(n.r(r),Object.defineProperty(r,"default",{enumerable:!0,value:e}),2&t&&"string"!=typeof e)for(var i in e)n.d(r,i,function(t){return e[t]}.bind(null,i));return r},n.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return n.d(t,"a",t),t},n.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},n.p="",n(n.s=22)}([function(e,t,n){(()=>{const t=n(23),r=n(25),i=n(10);class s extends Error{constructor(e){super(e);const n=(new Date).toISOString(),s=t.os.toString(),a="".concat(t.name," ").concat(t.version),o=r.parse(this)[0],c="".concat(o.fileName),u=o.lineNumber,l=o.columnNumber,{jobID:p,taskID:h,clientID:f}=i;Object.defineProperties(this,Object.freeze({system:{get:()=>s},client:{get:()=>a},time:{get:()=>n},jobID:{get:()=>p},taskID:{get:()=>h},projID:{get:()=>void 0},clientID:{get:()=>f},filename:{get:()=>c},line:{get:()=>u},column:{get:()=>l}}))}async save(){const e={system:this.system,client:this.client,time:this.time,job_id:this.jobID,task_id:this.taskID,proj_id:this.projID,client_id:this.clientID,message:this.message,filename:this.filename,line:this.line,column:this.column,stack:this.stack};try{const t=n(3);await t.server.exception(e)}catch(e){}}}e.exports={Exception:s,ArgumentError:class extends s{constructor(e){super(e)}},DataError:class extends s{constructor(e){super(e)}},ScriptingError:class extends s{constructor(e){super(e)}},PluginError:class extends s{constructor(e){super(e)}},ServerError:class extends s{constructor(e,t){super(e),Object.defineProperties(this,Object.freeze({code:{get:()=>t}}))}}}})()},function(e,t,n){"use strict";var r=n(14),i=n(42),s=Object.prototype.toString;function a(e){return"[object Array]"===s.call(e)}function o(e){return null!==e&&"object"==typeof e}function c(e){return"[object Function]"===s.call(e)}function u(e,t){if(null!=e)if("object"!=typeof e&&(e=[e]),a(e))for(var n=0,r=e.length;n<r;n++)t.call(null,e[n],n,e);else for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&t.call(null,e[i],i,e)}e.exports={isArray:a,isArrayBuffer:function(e){return"[object ArrayBuffer]"===s.call(e)},isBuffer:i,isFormData:function(e){return"undefined"!=typeof FormData&&e instanceof FormData},isArrayBufferView:function(e){return"undefined"!=typeof ArrayBuffer&&ArrayBuffer.isView?ArrayBuffer.isView(e):e&&e.buffer&&e.buffer instanceof ArrayBuffer},isString:function(e){return"string"==typeof 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t=Object.freeze({DIR:"DIR",REG:"REG"}),n=Object.freeze({ANNOTATION:"annotation",VALIDATION:"validation",COMPLETED:"completed"}),r=Object.freeze({ANNOTATION:"annotation",INTERPOLATION:"interpolation"}),i=Object.freeze({CHECKBOX:"checkbox",RADIO:"radio",SELECT:"select",NUMBER:"number",TEXT:"text"}),s=Object.freeze({TAG:"tag",SHAPE:"shape",TRACK:"track"}),a=Object.freeze({RECTANGLE:"rectangle",POLYGON:"polygon",POLYLINE:"polyline",POINTS:"points"}),o=Object.freeze({CHANGED_LABEL:"Changed label",CHANGED_ATTRIBUTES:"Changed attributes",CHANGED_POINTS:"Changed points",CHANGED_OUTSIDE:"Changed outside",CHANGED_OCCLUDED:"Changed occluded",CHANGED_ZORDER:"Changed z-order",CHANGED_KEYFRAME:"Changed keyframe",CHANGED_LOCK:"Changed lock",CHANGED_PINNED:"Changed pinned",CHANGED_COLOR:"Changed color",CHANGED_HIDDEN:"Changed hidden",MERGED_OBJECTS:"Merged objects",SPLITTED_TRACK:"Splitted track",GROUPED_OBJECTS:"Grouped objects",CREATED_OBJECTS:"Created objects",REMOVED_OBJECT:"Removed object"});e.exports={ShareFileType:t,TaskStatus:n,TaskMode:r,AttributeType:i,ObjectType:s,ObjectShape:a,LogType:{pasteObject:0,changeAttribute:1,dragObject:2,deleteObject:3,pressShortcut:4,resizeObject:5,sendLogs:6,saveJob:7,jumpFrame:8,drawObject:9,changeLabel:10,sendTaskInfo:11,loadJob:12,moveImage:13,zoomImage:14,lockObject:15,mergeObjects:16,copyObject:17,propagateObject:18,undoAction:19,redoAction:20,sendUserActivity:21,sendException:22,changeFrame:23,debugInfo:24,fitImage:25,rotateImage:26},HistoryActions:o,colors:["#FF355E","#E936A7","#FD5B78","#FF007C","#FF00CC","#66FF66","#50BFE6","#CCFF00","#FFFF66","#FF9966","#FF6037","#FFCC33","#AAF0D1","#FF3855","#FFF700","#A7F432","#FF5470","#FAFA37","#FF7A00","#FF9933","#AFE313","#00CC99","#FF5050","#733380"]}})()},function(e,t,n){(()=>{const t=n(27),{ServerError:r}=n(0),i=n(28),s=n(10),a=n(39);function o(e){if(e.response){const t="".concat(e.message,". 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save(){return await t.apiWrapper.call(this,d.prototype.save)}}class m extends f{constructor(e){super();const t={id:void 0,name:void 0,status:void 0,size:void 0,mode:void 0,owner:void 0,assignee:void 0,created_date:void 0,updated_date:void 0,bug_tracker:void 0,overlap:void 0,segment_size:void 0,z_order:void 0,image_quality:void 0,start_frame:void 0,stop_frame:void 0,frame_filter:void 0,data_chunk_size:void 0,data_compressed_chunk_type:void 0,data_original_chunk_type:void 0,use_zip_chunks:void 0};for(const n in t)Object.prototype.hasOwnProperty.call(t,n)&&n in e&&(t[n]=e[n]);if(t.labels=[],t.jobs=[],t.files=Object.freeze({server_files:[],client_files:[],remote_files:[]}),Array.isArray(e.segments))for(const n of e.segments)if(Array.isArray(n.jobs))for(const e of n.jobs){const r=new d({url:e.url,id:e.id,assignee:e.assignee,status:e.status,start_frame:n.start_frame,stop_frame:n.stop_frame,task:this});t.jobs.push(r)}if(Array.isArray(e.labels))for(const n of e.labels){const e=new l(n);t.labels.push(e)}Object.defineProperties(this,Object.freeze({id:{get:()=>t.id},name:{get:()=>t.name,set:e=>{if(!e.trim().length)throw new c("Value must not be empty");t.name=e}},status:{get:()=>t.status},size:{get:()=>t.size},mode:{get:()=>t.mode},owner:{get:()=>t.owner},assignee:{get:()=>t.assignee,set:e=>{if(null!==e&&!(e instanceof h))throw new c("Value must be a user instance");t.assignee=e}},createdDate:{get:()=>t.created_date},updatedDate:{get:()=>t.updated_date},bugTracker:{get:()=>t.bug_tracker,set:e=>{t.bug_tracker=e}},overlap:{get:()=>t.overlap,set:e=>{if(!Number.isInteger(e)||e<0)throw new c("Value must be a non negative integer");t.overlap=e}},segmentSize:{get:()=>t.segment_size,set:e=>{if(!Number.isInteger(e)||e<0)throw new c("Value must be a positive integer");t.segment_size=e}},zOrder:{get:()=>t.z_order,set:e=>{if("boolean"!=typeof e)throw new c("Value must be a boolean");t.z_order=e}},imageQuality:{get:()=>t.image_quality,set:e=>{if(!Number.isInteger(e)||e<0)throw new c("Value must be a positive integer");t.image_quality=e}},useZipChunks:{get:()=>t.use_zip_chunks,set:e=>{if("boolean"!=typeof e)throw new c("Value must be a boolean");t.use_zip_chunks=e}},labels:{get:()=>[...t.labels],set:e=>{if(!Array.isArray(e))throw new c("Value must be an array of Labels");for(const t of e)if(!(t instanceof l))throw new c("Each array value must be an instance of Label. 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But value ${e} has been got.`);t.data_chunk_size=e}},dataChunkType:{get:()=>t.data_compressed_chunk_type}})),this.annotations={get:Object.getPrototypeOf(this).annotations.get.bind(this),put:Object.getPrototypeOf(this).annotations.put.bind(this),save:Object.getPrototypeOf(this).annotations.save.bind(this),dump:Object.getPrototypeOf(this).annotations.dump.bind(this),merge:Object.getPrototypeOf(this).annotations.merge.bind(this),split:Object.getPrototypeOf(this).annotations.split.bind(this),group:Object.getPrototypeOf(this).annotations.group.bind(this),clear:Object.getPrototypeOf(this).annotations.clear.bind(this),search:Object.getPrototypeOf(this).annotations.search.bind(this),upload:Object.getPrototypeOf(this).annotations.upload.bind(this),select:Object.getPrototypeOf(this).annotations.select.bind(this),import:Object.getPrototypeOf(this).annotations.import.bind(this),export:Object.getPrototypeOf(this).annotations.export.bind(this),statistics:Object.getPrototypeOf(this).annotations.statistics.bind(this),hasUnsavedChanges:Object.getPrototypeOf(this).annotations.hasUnsavedChanges.bind(this),exportDataset:Object.getPrototypeOf(this).annotations.exportDataset.bind(this)},this.actions={undo:Object.getPrototypeOf(this).actions.undo.bind(this),redo:Object.getPrototypeOf(this).actions.redo.bind(this),clear:Object.getPrototypeOf(this).actions.clear.bind(this),get:Object.getPrototypeOf(this).actions.get.bind(this)},this.frames={get:Object.getPrototypeOf(this).frames.get.bind(this),ranges:Object.getPrototypeOf(this).frames.ranges.bind(this),preview:Object.getPrototypeOf(this).frames.preview.bind(this)},this.logger={log:Object.getPrototypeOf(this).logger.log.bind(this)}}async save(e=(()=>{})){return await t.apiWrapper.call(this,m.prototype.save,e)}async delete(){return await t.apiWrapper.call(this,m.prototype.delete)}}e.exports={Job:d,Task:m};const{getAnnotations:b,putAnnotations:y,saveAnnotations:g,hasUnsavedChanges:v,searchAnnotations:w,mergeAnnotations:k,splitAnnotations:S,groupAnnotations:x,clearAnnotations:O,selectObject:_,annotationsStatistics:E,uploadAnnotations:C,dumpAnnotations:j,importAnnotations:T,exportAnnotations:I,exportDataset:A,undoActions:P,redoActions:N,clearActions:D,getActions:R}=n(69);p(d.prototype),p(m.prototype),d.prototype.save.implementation=async function(){if(this.id){const e={status:this.status,assignee:this.assignee?this.assignee.id:null};return await i.jobs.saveJob(this.id,e),this}throw new c("Can not save job without and id")},d.prototype.frames.get.implementation=async function(e,t,n){if(!Number.isInteger(e)||e<0)throw new c(`Frame must be a positive integer. Got: "${e}"`);if(e<this.startFrame||e>this.stopFrame)throw new c(`The frame with number ${e} is out of the job`);return await s(this.task.id,this.task.dataChunkSize,this.task.dataChunkType,this.task.mode,e,this.startFrame,this.stopFrame,t,n)},d.prototype.frames.ranges.implementation=async function(){return await a(this.task.id)},d.prototype.annotations.get.implementation=async function(e,t,n){if(!Array.isArray(n)||n.some(e=>"string"!=typeof e))throw new c("The filters argument must be an array of strings");if(!Number.isInteger(e))throw new c("The frame argument must be an integer");if(e<this.startFrame||e>this.stopFrame)throw new c(`Frame ${e} does not exist in the job`);return await b(this,e,t,n)},d.prototype.annotations.search.implementation=function(e,t,n){if(!Array.isArray(e)||e.some(e=>"string"!=typeof e))throw new c("The filters argument must be an array of strings");if(!Number.isInteger(t)||!Number.isInteger(n))throw new c("The start and end frames both must be an integer");if(t<this.startFrame||t>this.stopFrame)throw new c("The start frame is out of the job");if(n<this.startFrame||n>this.stopFrame)throw new c("The stop frame is out of the job");return w(this,e,t,n)},d.prototype.annotations.save.implementation=async function(e){return await g(this,e)},d.prototype.annotations.merge.implementation=async function(e){return await k(this,e)},d.prototype.annotations.split.implementation=async function(e,t){return await S(this,e,t)},d.prototype.annotations.group.implementation=async function(e,t){return await x(this,e,t)},d.prototype.annotations.hasUnsavedChanges.implementation=function(){return v(this)},d.prototype.annotations.clear.implementation=async function(e){return await O(this,e)},d.prototype.annotations.select.implementation=function(e,t,n){return _(this,e,t,n)},d.prototype.annotations.statistics.implementation=function(){return E(this)},d.prototype.annotations.put.implementation=function(e){return y(this,e)},d.prototype.annotations.upload.implementation=async function(e,t){return await C(this,e,t)},d.prototype.annotations.import.implementation=function(e){return T(this,e)},d.prototype.annotations.export.implementation=function(){return I(this)},d.prototype.annotations.dump.implementation=async function(e,t){return await j(this,t,e)},d.prototype.annotations.exportDataset.implementation=async function(e){return await A(this.task,e)},d.prototype.actions.undo.implementation=function(e){return P(this,e)},d.prototype.actions.redo.implementation=function(e){return N(this,e)},d.prototype.actions.clear.implementation=function(){return D(this)},d.prototype.actions.get.implementation=function(){return R(this)},d.prototype.logger.log.implementation=async function(e,t,n){return await this.task.logger.log(e,{...t,job_id:this.id},n)},m.prototype.save.implementation=async function(e){if(void 0!==this.id){const e={assignee:this.assignee?this.assignee.id:null,name:this.name,bug_tracker:this.bugTracker,z_order:this.zOrder,labels:[...this.labels.map(e=>e.toJSON())]};return await i.tasks.saveTask(this.id,e),this}const t={name:this.name,labels:this.labels.map(e=>e.toJSON()),z_order:Boolean(this.zOrder)};void 0!==this.bugTracker&&(t.bug_tracker=this.bugTracker),void 0!==this.segmentSize&&(t.segment_size=this.segmentSize),void 0!==this.overlap&&(t.overlap=this.overlap);const n={client_files:this.clientFiles,server_files:this.serverFiles,remote_files:this.remoteFiles,image_quality:this.imageQuality,use_zip_chunks:this.useZipChunks};void 0!==this.startFrame&&(n.start_frame=this.startFrame),void 0!==this.stopFrame&&(n.stop_frame=this.stopFrame),void 0!==this.frameFilter&&(n.frame_filter=this.frameFilter),void 0!==this.dataChunkSize&&(n.chunk_size=this.dataChunkSize);const r=await i.tasks.createTask(t,n,e);return new m(r)},m.prototype.delete.implementation=async function(){return await i.tasks.deleteTask(this.id)},m.prototype.frames.get.implementation=async function(e,t,n){if(!Number.isInteger(e)||e<0)throw new c(`Frame must be a positive integer. Got: "${e}"`);if(e>=this.size)throw new c(`The frame with number ${e} is out of the task`);return await s(this.id,this.dataChunkSize,this.dataChunkType,this.mode,e,0,this.size-1,t,n)},d.prototype.frames.preview.implementation=async function(){return await o(this.task.id)},m.prototype.frames.ranges.implementation=async function(){return await a(this.id)},m.prototype.frames.preview.implementation=async function(){return await o(this.id)},m.prototype.annotations.get.implementation=async function(e,t,n){if(!Array.isArray(n)||n.some(e=>"string"!=typeof e))throw new c("The filters argument must be an array of strings");if(!Number.isInteger(e)||e<0)throw new c(`Frame must be a positive integer. Got: "${e}"`);if(e>=this.size)throw new c(`Frame ${e} does not exist in the task`);return await b(this,e,t,n)},m.prototype.annotations.search.implementation=function(e,t,n){if(!Array.isArray(e)||e.some(e=>"string"!=typeof e))throw new c("The filters argument must be an array of strings");if(!Number.isInteger(t)||!Number.isInteger(n))throw new c("The start and end frames both must be an integer");if(t<0||t>=this.size)throw new c("The start frame is out of the task");if(n<0||n>=this.size)throw new c("The stop frame is out of the task");return w(this,e,t,n)},m.prototype.annotations.save.implementation=async function(e){return await g(this,e)},m.prototype.annotations.merge.implementation=async function(e){return await k(this,e)},m.prototype.annotations.split.implementation=async function(e,t){return await S(this,e,t)},m.prototype.annotations.group.implementation=async function(e,t){return await x(this,e,t)},m.prototype.annotations.hasUnsavedChanges.implementation=function(){return v(this)},m.prototype.annotations.clear.implementation=async function(e){return await O(this,e)},m.prototype.annotations.select.implementation=function(e,t,n){return _(this,e,t,n)},m.prototype.annotations.statistics.implementation=function(){return E(this)},m.prototype.annotations.put.implementation=function(e){return y(this,e)},m.prototype.annotations.upload.implementation=async function(e,t){return await C(this,e,t)},m.prototype.annotations.dump.implementation=async function(e,t){return await j(this,t,e)},m.prototype.annotations.import.implementation=function(e){return T(this,e)},m.prototype.annotations.export.implementation=function(){return I(this)},m.prototype.annotations.exportDataset.implementation=async function(e){return await A(this,e)},m.prototype.actions.undo.implementation=function(e){return P(this,e)},m.prototype.actions.redo.implementation=function(e){return N(this,e)},m.prototype.actions.clear.implementation=function(){return 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r=n(1),i=n(47),s=n(49),a=n(50),o=n(51),c=n(17);e.exports=function(e){return new Promise((function(t,u){var l=e.data,h=e.headers;r.isFormData(l)&&delete h["Content-Type"];var p=new XMLHttpRequest;if(e.auth){var f=e.auth.username||"",d=e.auth.password||"";h.Authorization="Basic "+btoa(f+":"+d)}if(p.open(e.method.toUpperCase(),s(e.url,e.params,e.paramsSerializer),!0),p.timeout=e.timeout,p.onreadystatechange=function(){if(p&&4===p.readyState&&(0!==p.status||p.responseURL&&0===p.responseURL.indexOf("file:"))){var n="getAllResponseHeaders"in p?a(p.getAllResponseHeaders()):null,r={data:e.responseType&&"text"!==e.responseType?p.response:p.responseText,status:p.status,statusText:p.statusText,headers:n,config:e,request:p};i(t,u,r),p=null}},p.onerror=function(){u(c("Network Error",e,null,p)),p=null},p.ontimeout=function(){u(c("timeout of "+e.timeout+"ms exceeded",e,"ECONNABORTED",p)),p=null},r.isStandardBrowserEnv()){var m=n(52),b=(e.withCredentials||o(e.url))&&e.xsrfCookieName?m.read(e.xsrfCookieName):void 0;b&&(h[e.xsrfHeaderName]=b)}if("setRequestHeader"in p&&r.forEach(h,(function(e,t){void 0===l&&"content-type"===t.toLowerCase()?delete h[t]:p.setRequestHeader(t,e)})),e.withCredentials&&(p.withCredentials=!0),e.responseType)try{p.responseType=e.responseType}catch(t){if("json"!==e.responseType)throw t}"function"==typeof e.onDownloadProgress&&p.addEventListener("progress",e.onDownloadProgress),"function"==typeof e.onUploadProgress&&p.upload&&p.upload.addEventListener("progress",e.onUploadProgress),e.cancelToken&&e.cancelToken.promise.then((function(e){p&&(p.abort(),u(e),p=null)})),void 0===l&&(l=null),p.send(l)}))}},function(e,t,n){"use strict";var r=n(48);e.exports=function(e,t,n,i,s){var a=new Error(e);return r(a,t,n,i,s)}},function(e,t,n){"use strict";e.exports=function(e){return!(!e||!e.__CANCEL__)}},function(e,t,n){"use strict";function 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object");try{JSON.stringify(this.payload)}catch(e){const t=`Log payload must be JSON serializable. ${e.toString()}`;throw new s(t)}}dump(){const e={...this.payload},t={name:this.type,time:this.time.toISOString()};for(const n of["client_id","job_id","task_id","is_active"])n in e&&(t[n]=e[n],delete e[n]);return{...t,payload:e}}async close(e={}){return await i.apiWrapper.call(this,o.prototype.close,e)}}o.prototype.close.implementation=function(e){this.payload.duration=Date.now()-this.time.getTime(),this.payload={...this.payload,...e},this.onCloseCallback&&this.onCloseCallback()};class c extends o{validatePayload(){if(o.prototype.validatePayload.call(this),!Number.isInteger(this.payload.count)||this.payload.count<1){const e=`The field "count" is required for "${this.type}" log`+"It must be a positive integer";throw new s(e)}}}class u extends o{validatePayload(){const e=(e,t)=>{const n=`The field "${e}" is required for "${this.type}" log. ${t}`;throw new s(n)};(!Number.isInteger(this.payload["track count"])||this.payload["track count"]<0)&&e("track count","It must be an integer not less than 0"),(!Number.isInteger(this.payload["tag count"])||this.payload["tag count"]<0)&&e("tag count","It must be an integer not less than 0"),(!Number.isInteger(this.payload["object count"])||this.payload["object count"]<0)&&e("object count","It must be an integer not less than 0"),(!Number.isInteger(this.payload["frame count"])||this.payload["frame count"]<1)&&e("frame count","It must be an integer not less than 1"),(!Number.isInteger(this.payload["box count"])||this.payload["box count"]<0)&&e("box count","It must be an integer not less than 0"),(!Number.isInteger(this.payload["polygon count"])||this.payload["polygon count"]<0)&&e("polygon count","It must be an integer not less than 0"),(!Number.isInteger(this.payload["polyline count"])||this.payload["polyline count"]<0)&&e("polyline count","It must be an integer not less than 0"),(!Number.isInteger(this.payload["points count"])||this.payload["points count"]<0)&&e("points count","It must be an integer not less than 0")}}class l extends o{validatePayload(){if(o.prototype.validatePayload.call(this),!("working_time"in this.payload)||"number"===(this.payload.working_time,!1)||this.payload.working_time<0){const e=`The field "working_time" is required for ${this.type} log. `+"It must be a number not less than 0";throw new s(e)}}}class h extends o{validatePayload(){if(o.prototype.validatePayload.call(this),"string"!=typeof this.payload.message){const e=`The field "message" is required for ${this.type} log. `+"It must be a string";throw new s(e)}if("string"!=typeof this.payload.filename){const e=`The field "filename" is required for ${this.type} log. `+"It must be a string";throw new s(e)}if("number"!=typeof this.payload.line){const e=`The field "line" is required for ${this.type} log. `+"It must be a number";throw new s(e)}if("number"!=typeof this.payload.column){const e=`The field "column" is required for ${this.type} log. `+"It must be a number";throw new s(e)}if("string"!=typeof this.payload.stack){const e=`The field "stack" is required for ${this.type} log. `+"It must be a string";throw new s(e)}}dump(){let e=super.dump();const t=e.payload,n=r();return e={...e,message:t.message,filename:t.filename,line:t.line,column:t.column,stack:t.stack,system:n.os,client:n.name,version:n.version},delete t.message,delete t.filename,delete t.line,delete t.column,delete t.stack,e}}e.exports=function(e,t){return[a.deleteObject,a.mergeObjects,a.copyObject,a.undoAction,a.redoAction].includes(e)?new c(e,t):[a.sendTaskInfo,a.loadJob,a.uploadAnnotations].includes(e)?new u(e,t):e===a.sendUserActivity?new l(e,t):e===a.sendException?new h(e,t):new o(e,t)}},function(e,t){e.exports=class{constructor(e,t){Object.defineProperties(this,Object.freeze({label:{get:()=>JSON.parse(JSON.stringify(e))},total:{get:()=>JSON.parse(JSON.stringify(t))}}))}}},function(e,t){(()=>{class t{constructor(e){const t={name:e.name,format:e.ext,version:e.version};Object.defineProperties(this,{name:{get:()=>t.name},format:{get:()=>t.format},version:{get:()=>t.version}})}}class n{constructor(e){const t={name:e.name,format:e.ext,version:e.version};Object.defineProperties(this,{name:{get:()=>t.name},format:{get:()=>t.format},version:{get:()=>t.version}})}}e.exports={AnnotationFormats:class{constructor(e){const r={exporters:e.exporters.map(e=>new n(e)),importers:e.importers.map(e=>new t(e))};Object.defineProperties(this,{loaders:{get:()=>[...r.importers]},dumpers:{get:()=>[...r.exporters]}})}},Loader:t,Dumper:n}})()},function(e,t,n){e.exports=function(){const 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 /*!
  * Platform.js <https://mths.be/platform>
  * Copyright 2014-2018 Benjamin Tan <https://bnjmnt4n.now.sh/>
  * Copyright 2011-2013 John-David Dalton <http://allyoucanleet.com/>
  * Available under MIT license <https://mths.be/mit>
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e=l[this.tid],t=e.activeChunkRequest;t.request=s.frames.getData(this.tid,t.chunkNumber).then(t=>{l[this.tid].activeChunkRequest.completed=!0,e.nextChunkRequest||i.requestDecodeBlock(t,e.activeChunkRequest.start,e.activeChunkRequest.stop,e.activeChunkRequest.onDecodeAll,e.activeChunkRequest.rejectRequestAll)}).catch(e=>{n(e instanceof c?e:new c(e.message))}).finally(()=>{if(e.nextChunkRequest){if(e.activeChunkRequest)for(const t of e.activeChunkRequest.callbacks)t.reject(t.frameNumber);e.activeChunkRequest=e.nextChunkRequest,e.nextChunkRequest=null,b()}})};o?t("Dummy data"):a&&i.frame(this.number).then(t=>{if(null===t){e();const t=l[this.tid].activeChunkRequest;if(i.isChunkCached(p,h))t.callbacks.push({resolve:r,reject:n,frameNumber:this.number}),i.requestDecodeBlock(null,p,h,d,m);else if(!t||t&&t.completed&&t.chunkNumber!==f)t&&t.rejectRequestAll&&t.rejectRequestAll(),l[this.tid].activeChunkRequest={request:null,chunkNumber:f,start:p,stop:h,onDecodeAll:d,rejectRequestAll:m,completed:!1,callbacks:[{resolve:r,reject:n,frameNumber:this.number}]},b();else if(t.chunkNumber===f)t.onDecodeAll||t.rejectRequestAll||(t.onDecodeAll=d,t.rejectRequestAll=m),t.callbacks.push({resolve:r,reject:n,frameNumber:this.number});else{if(l[this.tid].nextChunkRequest){const{callbacks:e}=l[this.tid].nextChunkRequest;for(const t of e)t.reject(t.frameNumber)}l[this.tid].nextChunkRequest={request:null,chunkNumber:f,start:p,stop:h,onDecodeAll:d,rejectRequestAll:m,completed:!1,callbacks:[{resolve:r,reject:n,frameNumber:this.number}]}}}else{if(this.number%u>u/4&&i.decodedBlocksCacheSize>1&&this.decodeForward&&!i.isNextChunkExists(this.number)){const e=Math.floor(this.number/u)+1;if(e*u<this.stopFrame){i.setReadyToLoading(e);const t=e*u,n=(e+1)*u-1;i.isChunkCached(t,n)?i.requestDecodeBlock(null,t,n,null,null):l[this.tid].activeChunkRequest||(l[this.tid].activeChunkRequest={request:null,chunkNumber:e,start:t,stop:n,onDecodeAll:null,rejectRequestAll:null,completed:!1,callbacks:[]},b())}}r(t)}}).catch(e=>{n(e instanceof c?e:new c(e.message))})})};const h=(e,t)=>{const{meta:n,mode:r}=l[e];let i=null;if("interpolation"===r)[i]=n.frames;else{if("annotation"!==r)throw new u("Invalid mode is specified ".concat(r));if(t>=n.size)throw new u("Meta information about frame ".concat(t," can't be received from the server"));i=n.frames[t]}return i};class f{constructor(e,t,n,r){this._size=e,this._buffer={},this._requestedChunks={},this._chunkSize=t,this._stopFrame=n,this._activeFillBufferRequest=!1,this._taskID=r}getFreeBufferSize(){let e=0;for(const t of Object.values(this._requestedChunks))e+=t.requestedFrames.size;return this._size-Object.keys(this._buffer).length-e}requestOneChunkFrames(e){return new Promise((t,n)=>{this._requestedChunks[e]={...this._requestedChunks[e],resolve:t,reject:n};for(const t of this._requestedChunks[e].requestedFrames.entries()){const r=t[1],i=h(this._taskID,r),s=new p(i.width,i.height,this._taskID,r,l[this._taskID].startFrame,l[this._taskID].stopFrame);s.data().then(()=>{if(e in this._requestedChunks&&this._requestedChunks[e].requestedFrames.has(r)){if(this._requestedChunks[e].requestedFrames.delete(r),this._requestedChunks[e].buffer[r]=s,0===this._requestedChunks[e].requestedFrames.size){const t=Object.keys(this._requestedChunks[e].buffer).map(e=>+e);this._requestedChunks[e].resolve(new Set(t))}}else n(e)}).catch(()=>{n(e)})}})}fillBuffer(e,t=1,n=null){const r=this.getFreeBufferSize(),i=n?n*t:r*t,s=Math.min(e+i,this._stopFrame+1);for(let n=e;n<s;n+=t){const e=Math.floor(n/this._chunkSize);e in this._requestedChunks||(this._requestedChunks[e]={requestedFrames:new Set,resolve:null,reject:null,buffer:{}}),this._requestedChunks[e].requestedFrames.add(n)}let a=new Set;return new Promise(async(e,t)=>{for(const n in this._requestedChunks)if(Object.prototype.hasOwnProperty.call(this._requestedChunks,n))try{const r=await this.requestOneChunkFrames(n);if(!(n in this._requestedChunks)){t(n);break}a=new Set([...a,...r]),this._buffer={...this._buffer,...this._requestedChunks[n].buffer},delete this._requestedChunks[n],0===Object.keys(this._requestedChunks).length&&e(a)}catch(e){t(e);break}})}async makeFillRequest(e,t,n=null){if(!this._activeFillBufferRequest){this._activeFillBufferRequest=!0;try{await this.fillBuffer(e,t,n),this._activeFillBufferRequest=!1}catch(e){if("number"==typeof e&&e in this._requestedChunks)throw this._activeFillBufferRequest=!1,e}}}async require(e,t,n,r){for(const t in this._buffer)(t<e||t>=e+this._size*r)&&delete this._buffer[t];this._required=e;const i=h(t,e);let s=new p(i.width,i.height,t,e,l[t].startFrame,l[t].stopFrame,!n);if(e in this._buffer){s=this._buffer[e],delete this._buffer[e];const t=this.cachedFrames();if(n&&!this._activeFillBufferRequest&&this._size>this._chunkSize&&t.length<3*this._size/4){const n=t?Math.max(...t):e;n<this._stopFrame&&this.makeFillRequest(n+1,r)}}else if(n){this.clear();try{await this.makeFillRequest(e,r,n?null:1)}catch(e){if("not needed"!==e)throw e}s=this._buffer[e]}else this.clear();return s}clear(){for(const e in this._requestedChunks)Object.prototype.hasOwnProperty.call(this._requestedChunks,e)&&this._requestedChunks[e].reject&&this._requestedChunks[e].reject("not needed");this._activeFillBufferRequest=!1,this._requestedChunks={},this._buffer={}}cachedFrames(){return Object.keys(this._buffer).map(e=>+e)}}e.exports={FrameData:p,getFrame:async function(e,t,n,i,a,o,c,u,p){if(!(e in l)){const u="video"===n?r.BlockType.MP4VIDEO:r.BlockType.ARCHIVE,p=await s.frames.getMeta(e),d=p.frames.reduce((e,t)=>e+t.width*t.height,0)/p.frames.length,m=Math.sqrt(p.frames.map(e=>Math.pow(e.width*e.height-d,2)).reduce((e,t)=>e+t)/p.frames.length),b=Math.floor(2147483648/(d+m)/4/t)||1;l[e]={meta:p,chunkSize:t,mode:i,startFrame:o,stopFrame:c,provider:new r.FrameProvider(u,t,Math.max(b,9),b,1),frameBuffer:new f(Math.min(180,b*t),t,c,e),decodedBlocksCacheSize:b,activeChunkRequest:null,nextChunkRequest:null};const y=h(e,a);l[e].provider.setRenderSize(y.width,y.height)}return l[e].frameBuffer.require(a,e,u,p)},getRanges:function(e){return e in l?{decoded:l[e].provider.cachedFrames,buffered:l[e].frameBuffer.cachedFrames()}:{decoded:[],buffered:[]}},getPreview:async function(e){return new Promise((n,r)=>{s.frames.getPreview(e).then(e=>{if(o)n(t.Buffer.from(e,"binary").toString("base64"));else if(a){const t=new FileReader;t.onload=()=>{n(t.result)},t.readAsDataURL(e)}}).catch(e=>{r(e)})})}}})()}).call(this,n(6))},function(e,t,n){const{Mutex:r}=n(60),{MP4Reader:i,Bytestream:s}=n(62),a=n(63),o=n(64),c=Object.freeze({MP4VIDEO:"mp4video",ARCHIVE:"archive"});class u{constructor(e,t,n,i=5,s=2){this._frames={},this._cachedBlockCount=Math.max(1,n),this._decodedBlocksCacheSize=i,this._blocksRanges=[],this._blocks={},this._blockSize=t,this._running=!1,this._blockType=e,this._currFrame=-1,this._requestedBlockDecode=null,this._width=null,this._height=null,this._decodingBlocks={},this._decodeThreadCount=0,this._timerId=setTimeout(this._worker.bind(this),100),this._mutex=new r,this._promisedFrames={},this._maxWorkerThreadCount=s}async _worker(){null!==this._requestedBlockDecode&&this._decodeThreadCount<this._maxWorkerThreadCount&&await this.startDecode(),this._timerId=setTimeout(this._worker.bind(this),100)}isChunkCached(e,t){return"".concat(e,":").concat(t)in this._blocksRanges}async _cleanup(){if(this._blocksRanges.length>this._cachedBlockCount){const e=this._blocksRanges.shift(),[t,n]=e.split(":").map(e=>+e);delete this._blocks[t/this._blockSize];for(let e=t;e<=n;e++)delete this._frames[e]}const e=Math.floor(this._decodedBlocksCacheSize/2);for(let t=0;t<this._blocksRanges.length;t++){const[n,r]=this._blocksRanges[t].split(":").map(e=>+e);if(r<this._currFrame-e*this._blockSize||n>this._currFrame+e*this._blockSize)for(let e=n;e<=r;e++)delete this._frames[e]}}async requestDecodeBlock(e,t,n,r,i){const s=await this._mutex.acquire();try{null!==this._requestedBlockDecode&&(t===this._requestedBlockDecode.start&&n===this._requestedBlockDecode.end?(this._requestedBlockDecode.resolveCallback=r,this._requestedBlockDecode.rejectCallback=i):this._requestedBlockDecode.rejectCallback&&this._requestedBlockDecode.rejectCallback()),"".concat(t,":").concat(n)in this._decodingBlocks?(this._decodingBlocks["".concat(t,":").concat(n)].rejectCallback=i,this._decodingBlocks["".concat(t,":").concat(n)].resolveCallback=r):this._requestedBlockDecode={block:e||this._blocks[Math.floor(t/this._blockSize)],start:t,end:n,resolveCallback:r,rejectCallback:i}}finally{s()}}isRequestExist(){return null!==this._requestedBlockDecode}setRenderSize(e,t){this._width=e,this._height=t}async frame(e){return this._currFrame=e,new Promise((t,n)=>{e in this._frames?null!==this._frames[e]?t(this._frames[e]):this._promisedFrames[e]={resolve:t,reject:n}:t(null)})}isNextChunkExists(e){const t=Math.floor(e/this._blockSize)+1;return"loading"===this._blocks[t]||t in this._blocks}setReadyToLoading(e){this._blocks[e]="loading"}static cropImage(e,t,n,r,i,s,a){if(0===r&&s===t&&0===i&&a===n)return new ImageData(new Uint8ClampedArray(e),s,a);const o=new Uint32Array(e),c=s*a*4,u=new ArrayBuffer(c),l=new Uint32Array(u),p=new Uint8ClampedArray(u);if(t===s)return new ImageData(new Uint8ClampedArray(e,4*i,c),s,a);let h=0;for(let e=i;e<a;e++){const n=e*t+r;l.set(o.subarray(n,n+s),h),h+=s}return new ImageData(p,s,a)}async startDecode(){const e=await this._mutex.acquire();try{const t=this._height,n=this._width,{start:r,end:l,block:p}=this._requestedBlockDecode;this._blocksRanges.push("".concat(r,":").concat(l)),this._decodingBlocks["".concat(r,":").concat(l)]=this._requestedBlockDecode,this._requestedBlockDecode=null,this._blocks[Math.floor((r+1)/this._blockSize)]=p;for(let e=r;e<=l;e++)this._frames[e]=null;if(this._cleanup(),this._blockType===c.MP4VIDEO){const e=new o;let a=r;e.onmessage=i=>{if(i.data.consoleLog)return;const s=Math.ceil(this._height/i.data.height);this._frames[a]=u.cropImage(i.data.buf,i.data.width,i.data.height,0,0,Math.floor(n/s),Math.floor(t/s)),this._decodingBlocks["".concat(r,":").concat(l)].resolveCallback&&this._decodingBlocks["".concat(r,":").concat(l)].resolveCallback(a),a in this._promisedFrames&&(this._promisedFrames[a].resolve(this._frames[a]),delete this._promisedFrames[a]),a===l&&(this._decodeThreadCount--,delete this._decodingBlocks["".concat(r,":").concat(l)],e.terminate()),a++},e.onerror=t=>{e.terminate(),this._decodeThreadCount--;for(let e=a;e<=l;e++)e in this._promisedFrames&&(this._promisedFrames[e].reject(),delete this._promisedFrames[e]);this._decodingBlocks["".concat(r,":").concat(l)].rejectCallback&&this._decodingBlocks["".concat(r,":").concat(l)].rejectCallback(Error(t)),delete this._decodingBlocks["".concat(r,":").concat(l)]},e.postMessage({type:"Broadway.js - Worker init",options:{rgb:!0,reuseMemory:!1}});const c=new i(new s(p));c.read();const h=c.tracks[1],f=c.tracks[1].trak.mdia.minf.stbl.stsd.avc1.avcC,d=f.sps[0],m=f.pps[0];e.postMessage({buf:d,offset:0,length:d.length}),e.postMessage({buf:m,offset:0,length:m.length});for(let t=0;t<h.getSampleCount();t++)h.getSampleNALUnits(t).forEach(t=>{e.postMessage({buf:t,offset:0,length:t.length})});this._decodeThreadCount++}else{const e=new a;let t=r;e.onerror=t=>{for(let e=r;e<=l;e++)e in this._promisedFrames&&(this._promisedFrames[e].reject(),delete this._promisedFrames[e]);this._decodingBlocks["".concat(r,":").concat(l)].rejectCallback&&this._decodingBlocks["".concat(r,":").concat(l)].rejectCallback(Error(t)),this._decodeThreadCount--,e.terminate()},e.onmessage=n=>{this._frames[n.data.index]=n.data.data,this._decodingBlocks["".concat(r,":").concat(l)].resolveCallback&&this._decodingBlocks["".concat(r,":").concat(l)].resolveCallback(n.data.index),n.data.index in this._promisedFrames&&(this._promisedFrames[n.data.index].resolve(this._frames[n.data.index]),delete this._promisedFrames[n.data.index]),t===l&&(e.terminate(),delete this._decodingBlocks["".concat(r,":").concat(l)],this._decodeThreadCount--),t++},e.postMessage({block:p,start:r,end:l}),this._decodeThreadCount++}}finally{e()}}get decodeThreadCount(){return this._decodeThreadCount}get decodedBlocksCacheSize(){return this._decodedBlocksCacheSize}get cachedFrames(){return[...this._blocksRanges].sort((e,t)=>e.split(":")[0]-t.split(":")[0])}}e.exports={FrameProvider:u,BlockType:c}},function(e,t,n){"use strict";Object.defineProperty(t,"__esModule",{value:!0});var r=n(61);t.Mutex=r.default},function(e,t,n){"use strict";Object.defineProperty(t,"__esModule",{value:!0});var r=function(){function e(){this._queue=[],this._pending=!1}return e.prototype.isLocked=function(){return this._pending},e.prototype.acquire=function(){var e=this,t=new Promise((function(t){return e._queue.push(t)}));return this._pending||this._dispatchNext(),t},e.prototype.runExclusive=function(e){return this.acquire().then((function(t){var n;try{n=e()}catch(e){throw t(),e}return Promise.resolve(n).then((function(e){return t(),e}),(function(e){throw t(),e}))}))},e.prototype._dispatchNext=function(){this._queue.length>0?(this._pending=!0,this._queue.shift()(this._dispatchNext.bind(this))):this._pending=!1},e}();t.default=r},function(e,t){e.exports=function(){"use strict";function e(e,t){e||error(t)}var t,n,r=function(){function e(e,t){this.w=e,this.h=t}return e.prototype={toString:function(){return"("+this.w+", "+this.h+")"},getHalfSize:function(){return new r(this.w>>>1,this.h>>>1)},length:function(){return this.w*this.h}},e}(),i=function(){function t(e,t,n){this.bytes=new Uint8Array(e),this.start=t||0,this.pos=this.start,this.end=t+n||this.bytes.length}return t.prototype={get length(){return this.end-this.start},get position(){return this.pos},get remaining(){return this.end-this.pos},readU8Array:function(e){if(this.pos>this.end-e)return null;var t=this.bytes.subarray(this.pos,this.pos+e);return this.pos+=e,t},readU32Array:function(e,t,n){if(t=t||1,this.pos>this.end-e*t*4)return null;if(1==t){for(var r=new Uint32Array(e),i=0;i<e;i++)r[i]=this.readU32();return r}for(r=new Array(e),i=0;i<e;i++){var s=null;if(n){s={};for(var a=0;a<t;a++)s[n[a]]=this.readU32()}else{s=new Uint32Array(t);for(a=0;a<t;a++)s[a]=this.readU32()}r[i]=s}return r},read8:function(){return this.readU8()<<24>>24},readU8:function(){return this.pos>=this.end?null:this.bytes[this.pos++]},read16:function(){return this.readU16()<<16>>16},readU16:function(){if(this.pos>=this.end-1)return null;var e=this.bytes[this.pos+0]<<8|this.bytes[this.pos+1];return this.pos+=2,e},read24:function(){return this.readU24()<<8>>8},readU24:function(){var e=this.pos,t=this.bytes;if(e>this.end-3)return null;var n=t[e+0]<<16|t[e+1]<<8|t[e+2];return this.pos+=3,n},peek32:function(e){var t=this.pos,n=this.bytes;if(t>this.end-4)return null;var r=n[t+0]<<24|n[t+1]<<16|n[t+2]<<8|n[t+3];return e&&(this.pos+=4),r},read32:function(){return this.peek32(!0)},readU32:function(){return this.peek32(!0)>>>0},read4CC:function(){var e=this.pos;if(e>this.end-4)return null;for(var t="",n=0;n<4;n++)t+=String.fromCharCode(this.bytes[e+n]);return this.pos+=4,t},readFP16:function(){return this.read32()/65536},readFP8:function(){return this.read16()/256},readISO639:function(){for(var e=this.readU16(),t="",n=0;n<3;n++){var r=e>>>5*(2-n)&31;t+=String.fromCharCode(r+96)}return t},readUTF8:function(e){for(var t="",n=0;n<e;n++)t+=String.fromCharCode(this.readU8());return t},readPString:function(t){var n=this.readU8();e(n<=t);var r=this.readUTF8(n);return this.reserved(t-n-1,0),r},skip:function(e){this.seek(this.pos+e)},reserved:function(t,n){for(var r=0;r<t;r++)e(this.readU8()==n)},seek:function(e){(e<0||e>this.end)&&error("Index out of bounds (bounds: [0, "+this.end+"], index: "+e+")."),this.pos=e},subStream:function(e,t){return new i(this.bytes.buffer,e,t)}},t}(),s=function(){function t(e){this.stream=e,this.tracks={}}return t.prototype={readBoxes:function(e,t){for(;e.peek32();){var n=this.readBox(e);if(n.type in t){var r=t[n.type];r instanceof Array||(t[n.type]=[r]),t[n.type].push(n)}else t[n.type]=n}},readBox:function(t){var n={offset:t.position};function r(){n.version=t.readU8(),n.flags=t.readU24()}function i(){return n.size-(t.position-n.offset)}function s(){t.skip(i())}var o=function(){var e=t.subStream(t.position,i());this.readBoxes(e,n),t.skip(e.length)}.bind(this);switch(n.size=t.readU32(),n.type=t.read4CC(),n.type){case"ftyp":n.name="File Type Box",n.majorBrand=t.read4CC(),n.minorVersion=t.readU32(),n.compatibleBrands=new Array((n.size-16)/4);for(var c=0;c<n.compatibleBrands.length;c++)n.compatibleBrands[c]=t.read4CC();break;case"moov":n.name="Movie Box",o();break;case"mvhd":n.name="Movie Header Box",r(),e(0==n.version),n.creationTime=t.readU32(),n.modificationTime=t.readU32(),n.timeScale=t.readU32(),n.duration=t.readU32(),n.rate=t.readFP16(),n.volume=t.readFP8(),t.skip(10),n.matrix=t.readU32Array(9),t.skip(24),n.nextTrackId=t.readU32();break;case"trak":n.name="Track Box",o(),this.tracks[n.tkhd.trackId]=new a(this,n);break;case"tkhd":n.name="Track Header Box",r(),e(0==n.version),n.creationTime=t.readU32(),n.modificationTime=t.readU32(),n.trackId=t.readU32(),t.skip(4),n.duration=t.readU32(),t.skip(8),n.layer=t.readU16(),n.alternateGroup=t.readU16(),n.volume=t.readFP8(),t.skip(2),n.matrix=t.readU32Array(9),n.width=t.readFP16(),n.height=t.readFP16();break;case"mdia":n.name="Media Box",o();break;case"mdhd":n.name="Media Header Box",r(),e(0==n.version),n.creationTime=t.readU32(),n.modificationTime=t.readU32(),n.timeScale=t.readU32(),n.duration=t.readU32(),n.language=t.readISO639(),t.skip(2);break;case"hdlr":n.name="Handler Reference Box",r(),t.skip(4),n.handlerType=t.read4CC(),t.skip(12);var u=n.size-32;u>0&&(n.name=t.readUTF8(u));break;case"minf":n.name="Media Information Box",o();break;case"stbl":n.name="Sample Table Box",o();break;case"stsd":n.name="Sample Description Box",r(),n.sd=[];t.readU32();o();break;case"avc1":t.reserved(6,0),n.dataReferenceIndex=t.readU16(),e(0==t.readU16()),e(0==t.readU16()),t.readU32(),t.readU32(),t.readU32(),n.width=t.readU16(),n.height=t.readU16(),n.horizontalResolution=t.readFP16(),n.verticalResolution=t.readFP16(),e(0==t.readU32()),n.frameCount=t.readU16(),n.compressorName=t.readPString(32),n.depth=t.readU16(),e(65535==t.readU16()),o();break;case"mp4a":t.reserved(6,0),n.dataReferenceIndex=t.readU16(),n.version=t.readU16(),t.skip(2),t.skip(4),n.channelCount=t.readU16(),n.sampleSize=t.readU16(),n.compressionId=t.readU16(),n.packetSize=t.readU16(),n.sampleRate=t.readU32()>>>16,e(0==n.version),o();break;case"esds":n.name="Elementary Stream Descriptor",r(),s();break;case"avcC":n.name="AVC Configuration Box",n.configurationVersion=t.readU8(),n.avcProfileIndication=t.readU8(),n.profileCompatibility=t.readU8(),n.avcLevelIndication=t.readU8(),n.lengthSizeMinusOne=3&t.readU8(),e(3==n.lengthSizeMinusOne,"TODO");var l=31&t.readU8();n.sps=[];for(c=0;c<l;c++)n.sps.push(t.readU8Array(t.readU16()));l=31&t.readU8();n.pps=[];for(c=0;c<l;c++)n.pps.push(t.readU8Array(t.readU16()));s();break;case"btrt":n.name="Bit Rate Box",n.bufferSizeDb=t.readU32(),n.maxBitrate=t.readU32(),n.avgBitrate=t.readU32();break;case"stts":n.name="Decoding Time to Sample Box",r(),n.table=t.readU32Array(t.readU32(),2,["count","delta"]);break;case"stss":n.name="Sync Sample Box",r(),n.samples=t.readU32Array(t.readU32());break;case"stsc":n.name="Sample to Chunk Box",r(),n.table=t.readU32Array(t.readU32(),3,["firstChunk","samplesPerChunk","sampleDescriptionId"]);break;case"stsz":n.name="Sample Size Box",r(),n.sampleSize=t.readU32();l=t.readU32();0==n.sampleSize&&(n.table=t.readU32Array(l));break;case"stco":n.name="Chunk Offset Box",r(),n.table=t.readU32Array(t.readU32());break;case"smhd":n.name="Sound Media Header Box",r(),n.balance=t.readFP8(),t.reserved(2,0);break;case"mdat":n.name="Media Data Box",e(n.size>=8,"Cannot parse large media data yet."),n.data=t.readU8Array(i());break;default:s()}return n},read:function(){var e=(new Date).getTime();this.file={},this.readBoxes(this.stream,this.file),console.info("Parsed stream in "+((new Date).getTime()-e)+" ms")},traceSamples:function(){var e=this.tracks[1],t=this.tracks[2];console.info("Video Samples: "+e.getSampleCount()),console.info("Audio Samples: "+t.getSampleCount());for(var n=0,r=0,i=0;i<100;i++){var s=e.sampleToOffset(n),a=t.sampleToOffset(r),o=e.sampleToSize(n,1),c=t.sampleToSize(r,1);s<a?(console.info("V Sample "+n+" Offset : "+s+", Size : "+o),n++):(console.info("A Sample "+r+" Offset : "+a+", Size : "+c),r++)}}},t}(),a=function(){function t(e,t){this.file=e,this.trak=t}return t.prototype={getSampleSizeTable:function(){return this.trak.mdia.minf.stbl.stsz.table},getSampleCount:function(){return this.getSampleSizeTable().length},sampleToSize:function(e,t){for(var n=this.getSampleSizeTable(),r=0,i=e;i<e+t;i++)r+=n[i];return r},sampleToChunk:function(t){var n=this.trak.mdia.minf.stbl.stsc.table;if(1===n.length)return e(1===(s=n[0]).firstChunk),{index:Math.floor(t/s.samplesPerChunk),offset:t%s.samplesPerChunk};for(var r=0,i=0;i<n.length;i++){var s=n[i];if(i>0){var a=n[i-1],o=s.firstChunk-a.firstChunk,c=a.samplesPerChunk*o;if(!(t>=c))return{index:r+Math.floor(t/a.samplesPerChunk),offset:t%a.samplesPerChunk};if(t-=c,i==n.length-1)return{index:r+o+Math.floor(t/s.samplesPerChunk),offset:t%s.samplesPerChunk};r+=o}}e(!1)},chunkToOffset:function(e){return this.trak.mdia.minf.stbl.stco.table[e]},sampleToOffset:function(e){var t=this.sampleToChunk(e);return this.chunkToOffset(t.index)+this.sampleToSize(e-t.offset,t.offset)},timeToSample:function(e){for(var t=this.trak.mdia.minf.stbl.stts.table,n=0,r=0;r<t.length;r++){var i=t[r].count*t[r].delta;if(!(e>=i))return n+Math.floor(e/t[r].delta);e-=i,n+=t[r].count}},getTotalTime:function(){for(var t=this.trak.mdia.minf.stbl.stts.table,n=0,r=0;r<t.length;r++)n+=t[r].count*t[r].delta;return e(this.trak.mdia.mdhd.duration==n),this.trak.mdia.mdhd.duration},getTotalTimeInSeconds:function(){return this.timeToSeconds(this.getTotalTime())},getTimeScale:function(){return this.trak.mdia.mdhd.timeScale},timeToSeconds:function(e){return e/this.getTimeScale()},secondsToTime:function(e){return e*this.getTimeScale()},foo:function(){},getSampleNALUnits:function(e){for(var t=this.file.stream.bytes,n=this.sampleToOffset(e),r=n+this.sampleToSize(e,1),s=[];r-n>0;){var a=new i(t.buffer,n).readU32();s.push(t.subarray(n+4,n+a+4)),n=n+a+4}return s}},t}();t=[],n="zero-timeout-message",window.addEventListener("message",(function(e){e.source==window&&e.data==n&&(e.stopPropagation(),t.length>0&&t.shift()())}),!0),window.setZeroTimeout=function(e){t.push(e),window.postMessage(n,"*")};var o=function(){function e(e,n,r,i){this.stream=e,this.useWorkers=n,this.webgl=r,this.render=i,this.statistics={videoStartTime:0,videoPictureCounter:0,windowStartTime:0,windowPictureCounter:0,fps:0,fpsMin:1e3,fpsMax:-1e3,webGLTextureUploadTime:0},this.onStatisticsUpdated=function(){},this.avc=new Player({useWorker:n,reuseMemory:!0,webgl:r,size:{width:640,height:368}}),this.webgl=this.avc.webgl;var s=this;this.avc.onPictureDecoded=function(){t.call(s)},this.canvas=this.avc.canvas}function t(){var e=this.statistics;e.videoPictureCounter+=1,e.windowPictureCounter+=1;var t=Date.now();e.videoStartTime||(e.videoStartTime=t);var n=t-e.videoStartTime;if(e.elapsed=n/1e3,!(n<1e3))if(e.windowStartTime){if(t-e.windowStartTime>1e3){var r=t-e.windowStartTime,i=e.windowPictureCounter/r*1e3;e.windowStartTime=t,e.windowPictureCounter=0,i<e.fpsMin&&(e.fpsMin=i),i>e.fpsMax&&(e.fpsMax=i),e.fps=i}i=e.videoPictureCounter/n*1e3;e.fpsSinceStart=i,this.onStatisticsUpdated(this.statistics)}else e.windowStartTime=t}return e.prototype={readAll:function(e){console.info("MP4Player::readAll()"),this.stream.readAll(null,function(t){this.reader=new s(new i(t)),this.reader.read();var n=this.reader.tracks[1];this.size=new r(n.trak.tkhd.width,n.trak.tkhd.height),console.info("MP4Player::readAll(), length: "+this.reader.stream.length),e&&e()}.bind(this))},play:function(){var e=this.reader;if(e){var t=e.tracks[1],n=(e.tracks[2],e.tracks[1].trak.mdia.minf.stbl.stsd.avc1.avcC),r=n.sps[0],i=n.pps[0];this.avc.decode(r),this.avc.decode(i);var s=0;setTimeout(function e(){var n=this.avc;t.getSampleNALUnits(s).forEach((function(e){n.decode(e)})),++s<3e3&&setTimeout(e.bind(this),1)}.bind(this),1)}else this.readAll(this.play.bind(this))}},e}(),c=function(){function e(e){var t=e.attributes.src?e.attributes.src.value:void 0,n=(e.attributes.width&&e.attributes.width.value,e.attributes.height&&e.attributes.height.value,document.createElement("div"));n.setAttribute("style","z-index: 100; position: absolute; bottom: 0px; background-color: rgba(0,0,0,0.8); height: 30px; width: 100%; text-align: left;"),this.info=document.createElement("div"),this.info.setAttribute("style","font-size: 14px; font-weight: bold; padding: 6px; color: lime;"),n.appendChild(this.info),e.appendChild(n);var r=!!e.attributes.workers&&"true"==e.attributes.workers.value,i=!!e.attributes.render&&"true"==e.attributes.render.value,s="auto";e.attributes.webgl&&("true"==e.attributes.webgl.value&&(s=!0),"false"==e.attributes.webgl.value&&(s=!1));var a="";a+=r?"worker thread ":"main thread ",this.player=new o(new Stream(t),r,s,i),this.canvas=this.player.canvas,this.canvas.onclick=function(){this.play()}.bind(this),e.appendChild(this.canvas),a+=" - webgl: "+this.player.webgl,this.info.innerHTML="Click canvas to load and play - "+a,this.score=null,this.player.onStatisticsUpdated=function(e){if(e.videoPictureCounter%10==0){var t="";e.fps&&(t+=" fps: "+e.fps.toFixed(2)),e.fpsSinceStart&&(t+=" avg: "+e.fpsSinceStart.toFixed(2));e.videoPictureCounter<1200?this.score=1200-e.videoPictureCounter:1200==e.videoPictureCounter&&(this.score=e.fpsSinceStart.toFixed(2)),this.info.innerHTML=a+t}}.bind(this)}return e.prototype={play:function(){this.player.play()}},e}();return{Size:r,Track:a,MP4Reader:s,MP4Player:o,Bytestream:i,Broadway:c}}()},function(e,t){e.exports=function(){return new Worker("/static/engine/js/unzip_imgs.worker.js")}},function(e,t){e.exports=function(){return new Worker("/static/engine/js/3rdparty/Decoder.worker.js")}},function(e,t,n){"use strict";(function(e){Object.defineProperty(t,"__esModule",{value:!0});var n="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e},r="undefined"!=typeof window&&void 0!==window.document,i="object"===("undefined"==typeof self?"undefined":n(self))&&self.constructor&&"DedicatedWorkerGlobalScope"===self.constructor.name,s=void 0!==e&&null!=e.versions&&null!=e.versions.node;t.isBrowser=r,t.isWebWorker=i,t.isNode=s}).call(this,n(15))},function(e,t,n){(()=>{const t=n(3),r=n(67),i=n(71),s=n(72),{checkObjectType:a}=n(9),{Task:o}=n(7),{Loader:c,Dumper:u}=n(21),{ScriptingError:l,DataError:p,ArgumentError:h}=n(0),f=new WeakMap,d=new WeakMap;function m(e){if("task"===e)return d;if("job"===e)return f;throw new l("Unknown session type was received ".concat(e))}async function b(e){const n=e instanceof o?"task":"job",a=m(n);if(!a.has(e)){const o=await t.annotations.getAnnotations(n,e.id),c="job"===n?e.startFrame:0,u="job"===n?e.stopFrame:e.size-1,l={};for(let t=c;t<=u;t++)l[t]=await e.frames.get(t);const p=new s,h=new r({labels:e.labels||e.task.labels,history:p,startFrame:c,stopFrame:u,frameMeta:l});h.import(o);const f=new i(o.version,h,e);a.set(e,{collection:h,saver:f,history:p})}}e.exports={getAnnotations:async function(e,t,n,r){const i=m(e instanceof o?"task":"job");return i.has(e)?i.get(e).collection.get(t,n,r):(await b(e),i.get(e).collection.get(t,n,r))},putAnnotations:function(e,t){const n=m(e instanceof o?"task":"job");if(n.has(e))return n.get(e).collection.put(t);throw new p("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},saveAnnotations:async function(e,t){const n=m(e instanceof o?"task":"job");n.has(e)&&await n.get(e).saver.save(t)},hasUnsavedChanges:function(e){const t=m(e instanceof o?"task":"job");return!!t.has(e)&&t.get(e).saver.hasUnsavedChanges()},mergeAnnotations:function(e,t){const n=m(e instanceof o?"task":"job");if(n.has(e))return n.get(e).collection.merge(t);throw new p("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},searchAnnotations:function(e,t,n,r){const i=m(e instanceof o?"task":"job");if(i.has(e))return i.get(e).collection.search(t,n,r);throw new p("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},splitAnnotations:function(e,t,n){const r=m(e instanceof o?"task":"job");if(r.has(e))return r.get(e).collection.split(t,n);throw new p("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},groupAnnotations:function(e,t,n){const r=m(e instanceof o?"task":"job");if(r.has(e))return r.get(e).collection.group(t,n);throw new p("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},clearAnnotations:async function(e,t){a("reload",t,"boolean",null);const n=m(e instanceof o?"task":"job");n.has(e)&&n.get(e).collection.clear(),t&&(n.delete(e),await b(e))},annotationsStatistics:function(e){const t=m(e instanceof o?"task":"job");if(t.has(e))return t.get(e).collection.statistics();throw new p("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},selectObject:function(e,t,n,r){const i=m(e instanceof o?"task":"job");if(i.has(e))return i.get(e).collection.select(t,n,r);throw new p("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},uploadAnnotations:async function(e,n,r){const i=e instanceof o?"task":"job";if(!(r instanceof c))throw new h("A loader must be instance of Loader class");await t.annotations.uploadAnnotations(i,e.id,n,r.name)},dumpAnnotations:async function(e,n,r){if(!(r instanceof u))throw new h("A dumper must be instance of Dumper class");let i=null;return i="job"===(e instanceof o?"task":"job")?await t.annotations.dumpAnnotations(e.task.id,n,r.name):await t.annotations.dumpAnnotations(e.id,n,r.name)},exportDataset:async function(e,n){if(!(n instanceof String||"string"==typeof n))throw new h("Format must be a string");if(!(e instanceof o))throw new h("A dataset can only be created from a task");let r=null;return r=await t.tasks.exportDataset(e.id,n)},undoActions:function(e,t){const n=m(e instanceof o?"task":"job");if(n.has(e))return n.get(e).history.undo(t);throw new p("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},redoActions:function(e,t){const n=m(e instanceof o?"task":"job");if(n.has(e))return n.get(e).history.redo(t);throw new p("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},clearActions:function(e){const t=m(e instanceof o?"task":"job");if(t.has(e))return t.get(e).history.clear();throw new p("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},getActions:function(e){const t=m(e instanceof o?"task":"job");if(t.has(e))return t.get(e).history.get();throw new p("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")}}})()},function(e,t,n){(()=>{const{RectangleShape:t,PolygonShape:r,PolylineShape:i,PointsShape:s,RectangleTrack:a,PolygonTrack:o,PolylineTrack:c,PointsTrack:u,Track:l,Shape:p,Tag:h,objectStateFactory:f}=n(68),d=n(69),{checkObjectType:m}=n(9),b=n(20),{Label:y}=n(8),{DataError:g,ArgumentError:v,ScriptingError:w}=n(0),{HistoryActions:k,ObjectShape:S,ObjectType:x,colors:O}=n(2),_=n(13);function E(e,n,a){const{type:o}=e,c=O[n%O.length];let u=null;switch(o){case"rectangle":u=new t(e,n,c,a);break;case"polygon":u=new r(e,n,c,a);break;case"polyline":u=new i(e,n,c,a);break;case"points":u=new s(e,n,c,a);break;default:throw new g('An unexpected type of shape "'.concat(o,'"'))}return u}function j(e,t,n){if(e.shapes.length){const{type:r}=e.shapes[0],i=O[t%O.length];let s=null;switch(r){case"rectangle":s=new a(e,t,i,n);break;case"polygon":s=new o(e,t,i,n);break;case"polyline":s=new c(e,t,i,n);break;case"points":s=new u(e,t,i,n);break;default:throw new g('An unexpected type of track "'.concat(r,'"'))}return s}return console.warn("The track without any shapes had been found. It was ignored."),null}e.exports=class{constructor(e){this.startFrame=e.startFrame,this.stopFrame=e.stopFrame,this.frameMeta=e.frameMeta,this.labels=e.labels.reduce((e,t)=>(e[t.id]=t,e),{}),this.annotationsFilter=new d,this.history=e.history,this.shapes={},this.tags={},this.tracks=[],this.objects={},this.count=0,this.flush=!1,this.groups={max:0},this.injection={labels:this.labels,groups:this.groups,frameMeta:this.frameMeta,history:this.history,groupColors:{}}}import(e){const t={tags:[],shapes:[],tracks:[]};for(const n of e.tags){const e=++this.count,r=O[e%O.length],i=new h(n,e,r,this.injection);this.tags[i.frame]=this.tags[i.frame]||[],this.tags[i.frame].push(i),this.objects[e]=i,t.tags.push(i)}for(const n of e.shapes){const e=++this.count,r=E(n,e,this.injection);this.shapes[r.frame]=this.shapes[r.frame]||[],this.shapes[r.frame].push(r),this.objects[e]=r,t.shapes.push(r)}for(const n of e.tracks){const e=++this.count,r=j(n,e,this.injection);r&&(this.tracks.push(r),this.objects[e]=r,t.tracks.push(r))}return t}export(){return{tracks:this.tracks.filter(e=>!e.removed).map(e=>e.toJSON()),shapes:Object.values(this.shapes).reduce((e,t)=>(e.push(...t),e),[]).filter(e=>!e.removed).map(e=>e.toJSON()),tags:Object.values(this.tags).reduce((e,t)=>(e.push(...t),e),[]).filter(e=>!e.removed).map(e=>e.toJSON())}}get(e,t,n){const{tracks:r}=this,i=this.shapes[e]||[],s=this.tags[e]||[],a=[].concat(r,i,s),o={models:[],data:[]};for(const n of a){if(n.removed)continue;const r=n.get(e);(t||!r.outside||r.keyframe)&&(o.models.push(n),o.data.push(r))}const[,c]=this.annotationsFilter.toJSONQuery(n);let u=[];n.length&&(u=this.annotationsFilter.filter(o.data,c));const l=[];return o.data.forEach((t,r)=>{if(!n.length||u.includes(t.clientID)){const n=o.models[r],i=f.call(n,e,t);l.push(i)}}),l}merge(e){if(m("shapes for merge",e,null,Array),!e.length)return;const t=e.map(e=>{m("object state",e,null,_);const t=this.objects[e.clientID];if(void 0===t)throw new v("The object has not been saved yet. Call ObjectState.put([state]) before you can merge it");return t}),n={},{label:r,shapeType:i}=e[0];if(!(r.id in this.labels))throw new v("Unknown label for the task: ".concat(r.id));if(!Object.values(S).includes(i))throw new v('Got unknown shapeType "'.concat(i,'"'));const s=r.attributes.reduce((e,t)=>(e[t.id]=t,e),{});for(let a=0;a<t.length;a++){const o=t[a],c=e[a];if(c.label.id!==r.id)throw new v("All shape labels are expected to be ".concat(r.name,", but got ").concat(c.label.name));if(c.shapeType!==i)throw new v("All shapes are expected to be ".concat(i,", but got ").concat(c.shapeType));if(o instanceof p){if(o.frame in n&&!n[o.frame].outside)throw new v("Expected only one visible shape per frame");n[o.frame]={type:i,frame:o.frame,points:[...o.points],occluded:o.occluded,zOrder:o.zOrder,outside:!1,attributes:Object.keys(o.attributes).reduce((e,t)=>(t in s&&s[t].mutable&&e.push({spec_id:+t,value:o.attributes[t]}),e),[])},o.frame+1 in n||(n[o.frame+1]=JSON.parse(JSON.stringify(n[o.frame])),n[o.frame+1].outside=!0,n[o.frame+1].frame++)}else{if(!(o instanceof l))throw new v("Trying to merge unknown object type: ".concat(o.constructor.name,". ")+"Only shapes and tracks are expected.");{const e={};for(const t of Object.keys(o.shapes)){const r=o.shapes[t];if(t in n&&!n[t].outside){if(r.outside)continue;throw new v("Expected only one visible shape per frame")}let s=!1;for(const t in r.attributes)t in e&&e[t]===r.attributes[t]||(s=!0,e[t]=r.attributes[t]);n[t]={type:i,frame:+t,points:[...r.points],occluded:r.occluded,outside:r.outside,zOrder:r.zOrder,attributes:s?Object.keys(e).reduce((t,n)=>(t.push({spec_id:+n,value:e[n]}),t),[]):[]}}}}}let a=!1;for(const e of Object.keys(n).sort((e,t)=>+e-+t)){if((a=a||n[e].outside)||!n[e].outside)break;delete n[e]}const o=++this.count,c=j({frame:Math.min.apply(null,Object.keys(n).map(e=>+e)),shapes:Object.values(n),group:0,label_id:r.id,attributes:Object.keys(e[0].attributes).reduce((t,n)=>(s[n].mutable||t.push({spec_id:+n,value:e[0].attributes[n]}),t),[])},o,this.injection);this.tracks.push(c),this.objects[o]=c;for(const e of t)e.removed=!0;this.history.do(k.MERGED_OBJECTS,()=>{c.removed=!0;for(const e of t)e.removed=!1},()=>{c.removed=!1;for(const e of t)e.removed=!0},[...t.map(e=>e.clientID),c.clientID])}split(e,t){m("object state",e,null,_),m("frame",t,"integer",null);const n=this.objects[e.clientID];if(void 0===n)throw new v("The object has not been saved yet. Call annotations.put([state]) before");if(e.objectType!==x.TRACK)return;const r=Object.keys(n.shapes).sort((e,t)=>+e-+t);if(t<=+r[0])return;const i=n.label.attributes.reduce((e,t)=>(e[t.id]=t,e),{}),s=n.toJSON(),a={type:e.shapeType,points:[...e.points],occluded:e.occluded,outside:e.outside,zOrder:e.zOrder,attributes:Object.keys(e.attributes).reduce((t,n)=>(i[n].mutable||t.push({spec_id:+n,value:e.attributes[n]}),t),[]),frame:t},o={frame:s.frame,group:0,label_id:s.label_id,attributes:s.attributes,shapes:[]},c=JSON.parse(JSON.stringify(o));c.frame=t,c.shapes.push(JSON.parse(JSON.stringify(a))),s.shapes.map(e=>(delete e.id,e.frame<t?o.shapes.push(JSON.parse(JSON.stringify(e))):e.frame>t&&c.shapes.push(JSON.parse(JSON.stringify(e))),e)),o.shapes.push(a),o.shapes[o.shapes.length-1].outside=!0;let u=++this.count;const l=j(o,u,this.injection);this.tracks.push(l),this.objects[u]=l,u=++this.count;const p=j(c,u,this.injection);this.tracks.push(p),this.objects[u]=p,n.removed=!0,this.history.do(k.SPLITTED_TRACK,()=>{n.removed=!1,l.removed=!0,p.removed=!0},()=>{n.removed=!0,l.removed=!1,p.removed=!1},[n.clientID,l.clientID,p.clientID])}group(e,t){m("shapes for group",e,null,Array);const n=e.map(e=>{m("object state",e,null,_);const t=this.objects[e.clientID];if(void 0===t)throw new v("The object has not been saved yet. Call annotations.put([state]) before");return t}),r=t?0:++this.groups.max,i=n.map(e=>e.group);for(const e of n)e.group=r;const s=n.map(e=>e.group);return this.history.do(k.GROUPED_OBJECTS,()=>{n.forEach((e,t)=>{e.group=i[t]})},()=>{n.forEach((e,t)=>{e.group=s[t]})},n.map(e=>e.clientID)),r}clear(){this.shapes={},this.tags={},this.tracks=[],this.objects={},this.count=0,this.flush=!0}statistics(){const e={},t={rectangle:{shape:0,track:0},polygon:{shape:0,track:0},polyline:{shape:0,track:0},points:{shape:0,track:0},tags:0,manually:0,interpolated:0,total:0},n=JSON.parse(JSON.stringify(t));for(const n of Object.values(this.labels)){const{name:r}=n;e[r]=JSON.parse(JSON.stringify(t))}for(const t of Object.values(this.objects)){if(t.removed)continue;let n=null;if(t instanceof p)n="shape";else if(t instanceof l)n="track";else{if(!(t instanceof h))throw new w('Unexpected object type: "'.concat(n,'"'));n="tag"}const r=t.label.name;if("tag"===n)e[r].tags++,e[r].manually++,e[r].total++;else{const{shapeType:i}=t;if(e[r][i][n]++,"track"===n){const n=Object.keys(t.shapes).sort((e,t)=>+e-+t).map(e=>+e);let i=n[0],s=!1;for(const a of n){if(s){const t=a-i-1;e[r].interpolated+=t,e[r].total+=t}s=!t.shapes[a].outside,i=a,s&&(e[r].manually++,e[r].total++)}const a=n[n.length-1];if(a!==this.stopFrame&&!t.shapes[a].outside){const t=this.stopFrame-a;e[r].interpolated+=t,e[r].total+=t}}else e[r].manually++,e[r].total++}}for(const t of Object.keys(e))for(const r of Object.keys(e[t]))if("object"==typeof e[t][r])for(const i of Object.keys(e[t][r]))n[r][i]+=e[t][r][i];else n[r]+=e[t][r];return new b(e,n)}put(e){m("shapes for put",e,null,Array);const t={shapes:[],tracks:[],tags:[]};function n(e,t){const n=+t,r=this.attributes[t];return m("attribute id",n,"integer",null),m("attribute value",r,"string",null),e.push({spec_id:n,value:r}),e}for(const r of e){m("object state",r,null,_),m("state client ID",r.clientID,"undefined",null),m("state frame",r.frame,"integer",null),m("state attributes",r.attributes,null,Object),m("state label",r.label,null,y);const e=Object.keys(r.attributes).reduce(n.bind(r),[]),i=r.label.attributes.reduce((e,t)=>(e[t.id]=t,e),{});if("tag"===r.objectType)t.tags.push({attributes:e,frame:r.frame,label_id:r.label.id,group:0});else{m("state occluded",r.occluded,"boolean",null),m("state points",r.points,null,Array),m("state zOrder",r.zOrder,"integer",null);for(const e of r.points)m("point coordinate",e,"number",null);if(!Object.values(S).includes(r.shapeType))throw new v("Object shape must be one of: "+"".concat(JSON.stringify(Object.values(S))));if("shape"===r.objectType)t.shapes.push({attributes:e,frame:r.frame,group:0,label_id:r.label.id,occluded:r.occluded||!1,points:[...r.points],type:r.shapeType,z_order:r.zOrder});else{if("track"!==r.objectType)throw new v("Object type must be one of: "+"".concat(JSON.stringify(Object.values(x))));t.tracks.push({attributes:e.filter(e=>!i[e.spec_id].mutable),frame:r.frame,group:0,label_id:r.label.id,shapes:[{attributes:e.filter(e=>i[e.spec_id].mutable),frame:r.frame,occluded:r.occluded||!1,outside:!1,points:[...r.points],type:r.shapeType,z_order:r.zOrder}]})}}}const r=this.import(t),i=r.tags.concat(r.tracks).concat(r.shapes);this.history.do(k.CREATED_OBJECTS,()=>{i.forEach(e=>{e.removed=!0})},()=>{i.forEach(e=>{e.removed=!1})},i.map(e=>e.clientID))}select(e,t,n){m("shapes for select",e,null,Array),m("x coordinate",t,"number",null),m("y coordinate",n,"number",null);let r=null,i=null;for(const s of e){if(m("object state",s,null,_),s.outside||s.hidden||s.objectType===x.TAG)continue;const e=this.objects[s.clientID];if(void 0===e)throw new v("The object has not been saved yet. Call annotations.put([state]) before");const a=e.constructor.distance(s.points,t,n);null!==a&&(null===r||a<r)&&(r=a,i=s)}return{state:i,distance:r}}search(e,t,n){const[r,i]=this.annotationsFilter.toJSONQuery(e),s=Math.sign(n-t),a=r.flat(Number.MAX_SAFE_INTEGER).some(e=>e.match(/^width/)||e.match(/^height/)),o=(e,t)=>{let[n,r]=[e,t];for(;1!==Math.abs(n-r);){const e=r+Math.floor((n-r)/2),t=this.tracks.map(t=>t.get(e));this.annotationsFilter.filter(t,i).length?r=e:n=e}return r},c={},u=s>0?e=>e<=n:e=>e>=n,l=s>0?e=>e+1:e=>e-1;for(let e=t;u(e);e=l(e)){const r=[].concat((e in this.shapes?this.shapes[e]:[]).map(t=>t.get(e)),(e in this.tags?this.tags[e]:[]).map(t=>t.get(e))),u=Object.values(this.tracks).filter(r=>e in r.shapes||e===t||e===n);if(r.push(...u.map(t=>t.get(e)).filter(e=>!e.outside)),!r.length)continue;const l=this.annotationsFilter.filter(r,i);let p=!1;if(a)for(const t of u){l.includes(t.clientID)?c[t.clientID]&&!1===c[t.clientID][0]&&(p=!0):c[t.clientID]=[l.includes(t.clientID),e]}if(p){return o((s>0?Math.min:Math.max)(...Object.values(c).map(e=>e[1])),e)}if(l.length)return e}return null}}})()},function(e,t,n){(()=>{const t=n(13),{checkObjectType:r}=n(9),{colors:i,ObjectShape:s,ObjectType:a,AttributeType:o,HistoryActions:c}=n(2),{DataError:u,ArgumentError:l,ScriptingError:p}=n(0),{Label:h}=n(8),f="#E0E0E0";function d(e,n){const r=new t(n);return r.__internal={save:this.save.bind(this,e,r),delete:this.delete.bind(this)},r}function m(e,t){if(e===s.RECTANGLE){if(t.length/2!=2)throw new u("Rectangle must have 2 points, but got ".concat(t.length/2))}else if(e===s.POLYGON){if(t.length/2<3)throw new u("Polygon must have at least 3 points, but got ".concat(t.length/2))}else if(e===s.POLYLINE){if(t.length/2<2)throw new u("Polyline must have at least 2 points, but got ".concat(t.length/2))}else{if(e!==s.POINTS)throw new l("Unknown value of shapeType has been recieved ".concat(e));if(t.length/2<1)throw new u("Points must have at least 1 points, but got ".concat(t.length/2))}}function b(e,t){const{values:n}=t,r=t.inputType;if("string"!=typeof e)throw new l("Attribute value is expected to be string, but got ".concat(typeof e));return r===o.NUMBER?+e>=+n[0]&&+e<=+n[1]&&!((+e-+n[0])%+n[2]):r===o.CHECKBOX?["true","false"].includes(e.toLowerCase()):r===o.TEXT||n.includes(e)}class y{constructor(e,t,n,r){this.taskLabels=r.labels,this.history=r.history,this.groupColors=r.groupColors,this.clientID=t,this.serverID=e.id,this.group=e.group,this.label=this.taskLabels[e.label_id],this.frame=e.frame,this.removed=!1,this.lock=!1,this.color=n,this.updated=Date.now(),this.attributes=e.attributes.reduce((e,t)=>(e[t.spec_id]=t.value,e),{}),this.groupObject=Object.defineProperties({},{color:{get:()=>this.group?this.groupColors[this.group]||i[this.group%i.length]:f,set:e=>{this.group&&"string"==typeof e&&/^#[0-9A-F]{6}$/i.test(e)&&(this.groupColors[this.group]=e)}},id:{get:()=>this.group}}),this.appendDefaultAttributes(this.label),r.groups.max=Math.max(r.groups.max,this.group)}_saveLock(e){const t=this.lock,n=e;this.history.do(c.CHANGED_LOCK,()=>{this.lock=t},()=>{this.lock=n},[this.clientID]),this.lock=e}_saveColor(e){const t=this.color,n=e;this.history.do(c.CHANGED_COLOR,()=>{this.color=t},()=>{this.color=n},[this.clientID]),this.color=e}_saveHidden(e){const t=this.hidden,n=e;this.history.do(c.CHANGED_HIDDEN,()=>{this.hidden=t},()=>{this.hidden=n},[this.clientID]),this.hidden=e}_saveLabel(e){const t=this.label,n=e,r={...this.attributes};this.label=e,this.attributes={},this.appendDefaultAttributes(e);const i={...this.attributes};this.history.do(c.CHANGED_LABEL,()=>{this.label=t,this.attributes=r},()=>{this.label=n,this.attributes=i},[this.clientID])}_saveAttributes(e){const t={...this.attributes};for(const t of Object.keys(e))this.attributes[t]=e[t];const n={...this.attributes};this.history.do(c.CHANGED_ATTRIBUTES,()=>{this.attributes=t},()=>{this.attributes=n},[this.clientID])}_validateStateBeforeSave(e,t,n){let i=[];n.label&&r("label",t.label,null,h);const a=t.label.attributes.reduce((e,t)=>(e[t.id]=t,e),{});if(n.attributes)for(const e of Object.keys(t.attributes)){const n=t.attributes[e];if(!(e in a))throw new l("The label of the shape doesn't have the attribute with id ".concat(e," and value ").concat(n));if(!b(n,a[e]))throw new l("Trying to save an attribute attribute with id ".concat(e," and invalid value ").concat(n))}if(n.points){r("points",t.points,null,Array),m(this.shapeType,t.points);const{width:n,height:a}=this.frameMeta[e];for(let e=0;e<t.points.length-1;e+=2){const s=t.points[e],o=t.points[e+1];r("coordinate",s,"number",null),r("coordinate",o,"number",null),i.push(Math.clamp(s,0,n),Math.clamp(o,0,a))}(function(e,t){if(e===s.POINTS)return!0;let n=Number.MAX_SAFE_INTEGER,r=Number.MIN_SAFE_INTEGER,i=Number.MAX_SAFE_INTEGER,a=Number.MIN_SAFE_INTEGER;for(let e=0;e<t.length-1;e+=2)n=Math.min(n,t[e]),r=Math.max(r,t[e]),i=Math.min(i,t[e+1]),a=Math.max(a,t[e+1]);if(e===s.POLYLINE){return Math.max(r-n,a-i)>=3}return(r-n)*(a-i)>=9})(this.shapeType,i)||(i=[])}if(n.occluded&&r("occluded",t.occluded,"boolean",null),n.outside&&r("outside",t.outside,"boolean",null),n.zOrder&&r("zOrder",t.zOrder,"integer",null),n.lock&&r("lock",t.lock,"boolean",null),n.pinned&&r("pinned",t.pinned,"boolean",null),n.color&&(r("color",t.color,"string",null),!/^#[0-9A-F]{6}$/i.test(t.color)))throw new l('Got invalid color value: "'.concat(t.color,'"'));if(n.hidden&&r("hidden",t.hidden,"boolean",null),n.keyframe&&(r("keyframe",t.keyframe,"boolean",null),!this.shapes||1===Object.keys(this.shapes).length&&!t.keyframe))throw new l("Can not remove the latest keyframe of an object. Consider removing the object instead");return i}appendDefaultAttributes(e){const t=e.attributes;for(const e of t)e.id in this.attributes||(this.attributes[e.id]=e.defaultValue)}updateTimestamp(e){(e.label||e.attributes||e.points||e.outside||e.occluded||e.keyframe||e.zOrder)&&(this.updated=Date.now())}delete(e){return this.lock&&!e||(this.removed=!0,this.history.do(c.REMOVED_OBJECT,()=>{this.removed=!1},()=>{this.removed=!0},[this.clientID])),this.removed}}class g extends y{constructor(e,t,n,r){super(e,t,n,r),this.frameMeta=r.frameMeta,this.hidden=!1,this.pinned=!0,this.shapeType=null}_savePinned(e){const t=this.pinned,n=e;this.history.do(c.CHANGED_PINNED,()=>{this.pinned=t},()=>{this.pinned=n},[this.clientID]),this.pinned=e}save(){throw new p("Is not implemented")}get(){throw new p("Is not implemented")}toJSON(){throw new p("Is not implemented")}}class v extends g{constructor(e,t,n,r){super(e,t,n,r),this.points=e.points,this.occluded=e.occluded,this.zOrder=e.z_order}toJSON(){return{type:this.shapeType,clientID:this.clientID,occluded:this.occluded,z_order:this.zOrder,points:[...this.points],attributes:Object.keys(this.attributes).reduce((e,t)=>(e.push({spec_id:t,value:this.attributes[t]}),e),[]),id:this.serverID,frame:this.frame,label_id:this.label.id,group:this.group}}get(e){if(e!==this.frame)throw new p("Got frame is not equal to the frame of the shape");return{objectType:a.SHAPE,shapeType:this.shapeType,clientID:this.clientID,serverID:this.serverID,occluded:this.occluded,lock:this.lock,zOrder:this.zOrder,points:[...this.points],attributes:{...this.attributes},label:this.label,group:this.groupObject,color:this.color,hidden:this.hidden,updated:this.updated,pinned:this.pinned,frame:e}}_savePoints(e){const t=this.points,n=e;this.history.do(c.CHANGED_POINTS,()=>{this.points=t},()=>{this.points=n},[this.clientID]),this.points=e}_saveOccluded(e){const t=this.occluded,n=e;this.history.do(c.CHANGED_OCCLUDED,()=>{this.occluded=t},()=>{this.occluded=n},[this.clientID]),this.occluded=e}_saveZOrder(e){const t=this.zOrder,n=e;this.history.do(c.CHANGED_ZORDER,()=>{this.zOrder=t},()=>{this.zOrder=n},[this.clientID]),this.zOrder=e}save(e,t){if(e!==this.frame)throw new p("Got frame is not equal to the frame of the shape");if(this.lock&&t.lock)return d.call(this,e,this.get(e));const n=t.updateFlags,r=this._validateStateBeforeSave(e,t,n);return n.label&&this._saveLabel(t.label),n.attributes&&this._saveAttributes(t.attributes),n.points&&r.length&&this._savePoints(r),n.occluded&&this._saveOccluded(t.occluded),n.zOrder&&this._saveZOrder(t.zOrder),n.lock&&this._saveLock(t.lock),n.pinned&&this._savePinned(t.pinned),n.color&&this._saveColor(t.color),n.hidden&&this._saveHidden(t.hidden),this.updateTimestamp(n),n.reset(),d.call(this,e,this.get(e))}}class w extends g{constructor(e,t,n,r){super(e,t,n,r),this.shapes=e.shapes.reduce((e,t)=>(e[t.frame]={serverID:t.id,occluded:t.occluded,zOrder:t.z_order,points:t.points,outside:t.outside,attributes:t.attributes.reduce((e,t)=>(e[t.spec_id]=t.value,e),{})},e),{})}toJSON(){const e=this.label.attributes.reduce((e,t)=>(e[t.id]=t,e),{});return{clientID:this.clientID,id:this.serverID,frame:this.frame,label_id:this.label.id,group:this.group,attributes:Object.keys(this.attributes).reduce((t,n)=>(e[n].mutable||t.push({spec_id:n,value:this.attributes[n]}),t),[]),shapes:Object.keys(this.shapes).reduce((t,n)=>(t.push({type:this.shapeType,occluded:this.shapes[n].occluded,z_order:this.shapes[n].zOrder,points:[...this.shapes[n].points],outside:this.shapes[n].outside,attributes:Object.keys(this.shapes[n].attributes).reduce((t,r)=>(e[r].mutable&&t.push({spec_id:r,value:this.shapes[n].attributes[r]}),t),[]),id:this.shapes[n].serverID,frame:+n}),t),[])}}get(e){const{prev:t,next:n,first:r,last:i}=this.boundedKeyframes(e);return{...this.getPosition(e,t,n),attributes:this.getAttributes(e),group:this.groupObject,objectType:a.TRACK,shapeType:this.shapeType,clientID:this.clientID,serverID:this.serverID,lock:this.lock,color:this.color,hidden:this.hidden,updated:this.updated,label:this.label,pinned:this.pinned,keyframes:{prev:t,next:n,first:r,last:i},frame:e}}boundedKeyframes(e){const t=Object.keys(this.shapes).map(e=>+e);let n=Number.MAX_SAFE_INTEGER,r=Number.MAX_SAFE_INTEGER,i=Number.MAX_SAFE_INTEGER,s=Number.MIN_SAFE_INTEGER;for(const a of t){a<i&&(i=a),a>s&&(s=a);const t=Math.abs(e-a);a<e&&t<n?n=t:a>e&&t<r&&(r=t)}return{prev:n===Number.MAX_SAFE_INTEGER?null:e-n,next:r===Number.MAX_SAFE_INTEGER?null:e+r,first:i,last:s}}getAttributes(e){const t={};for(const e in this.attributes)Object.prototype.hasOwnProperty.call(this.attributes,e)&&(t[e]=this.attributes[e]);const n=Object.keys(this.shapes).sort((e,t)=>+e-+t);for(const r of n)if(r<=e){const{attributes:e}=this.shapes[r];for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n])}return t}_saveLabel(e){const t=this.label,n=e,r={unmutable:{...this.attributes},mutable:Object.keys(this.shapes).map(e=>({frame:+e,attributes:{...this.shapes[e].attributes}}))};this.label=e,this.attributes={};for(const e of Object.values(this.shapes))e.attributes={};this.appendDefaultAttributes(e);const i={unmutable:{...this.attributes},mutable:Object.keys(this.shapes).map(e=>({frame:+e,attributes:{...this.shapes[e].attributes}}))};this.history.do(c.CHANGED_LABEL,()=>{this.label=t,this.attributes=r.unmutable;for(const e of r.mutable)this.shapes[e.frame].attributes=e.attributes},()=>{this.label=n,this.attributes=i.unmutable;for(const e of i.mutable)this.shapes[e.frame].attributes=e.attributes},[this.clientID])}_saveAttributes(e,t){const n=this.get(e),r=this.label.attributes.reduce((e,t)=>(e[t.id]=t,e),{}),i=e in this.shapes,s=this.attributes,a=i?this.shapes[e]:void 0;let o=!1;const u={...this.attributes};for(const i of Object.keys(t))r[i].mutable?t[i]!==n.attributes[i]&&(o=o||!(e in this.shapes)||!(i in this.shapes[e].attributes)||this.shapes[e].attributes[i]!==t[i]):u[i]=t[i];let l;o&&(l=i?{...this.shapes[e],attributes:{...this.shapes[e].attributes}}:{frame:e,zOrder:n.zOrder,points:n.points,outside:n.outside,occluded:n.occluded,attributes:{}});for(const e of Object.keys(t))r[e].mutable&&t[e]!==n.attributes[e]&&(l.attributes[e]=t[e]);this.attributes=u,l&&(this.shapes[e]=l),this.history.do(c.CHANGED_ATTRIBUTES,()=>{this.attributes=s,a?this.shapes[e]=a:l&&delete this.shapes[e]},()=>{this.attributes=u,l&&(this.shapes[e]=l)},[this.clientID])}_appendShapeActionToHistory(e,t,n,r){this.history.do(e,()=>{n?this.shapes[t]=n:delete this.shapes[t]},()=>{r?this.shapes[t]=r:delete this.shapes[t]},[this.clientID])}_savePoints(e,t){const n=this.get(e),r=e in this.shapes,i=r?this.shapes[e]:void 0,s=r?{...this.shapes[e],points:t}:{frame:e,points:t,zOrder:n.zOrder,outside:n.outside,occluded:n.occluded,attributes:{}};this.shapes[e]=s,this._appendShapeActionToHistory(c.CHANGED_POINTS,e,i,s)}_saveOutside(e,t){const n=this.get(e),r=e in this.shapes,i=r?this.shapes[e]:void 0,s=r?{...this.shapes[e],outside:t}:{frame:e,outside:t,zOrder:n.zOrder,points:n.points,occluded:n.occluded,attributes:{}};this.shapes[e]=s,this._appendShapeActionToHistory(c.CHANGED_OUTSIDE,e,i,s)}_saveOccluded(e,t){const n=this.get(e),r=e in this.shapes,i=r?this.shapes[e]:void 0,s=r?{...this.shapes[e],occluded:t}:{frame:e,occluded:t,zOrder:n.zOrder,points:n.points,outside:n.outside,attributes:{}};this.shapes[e]=s,this._appendShapeActionToHistory(c.CHANGED_OCCLUDED,e,i,s)}_saveZOrder(e,t){const n=this.get(e),r=e in this.shapes,i=r?this.shapes[e]:void 0,s=r?{...this.shapes[e],zOrder:t}:{frame:e,zOrder:t,occluded:n.occluded,points:n.points,outside:n.outside,attributes:{}};this.shapes[e]=s,this._appendShapeActionToHistory(c.CHANGED_ZORDER,e,i,s)}_saveKeyframe(e,t){const n=this.get(e),r=e in this.shapes;if(t&&r||!t&&!r)return;const i=r?this.shapes[e]:void 0,s=t?{frame:e,zOrder:n.zOrder,points:n.points,outside:n.outside,occluded:n.occluded,attributes:{}}:void 0;s?this.shapes[e]=s:delete this.shapes[e],this._appendShapeActionToHistory(c.CHANGED_KEYFRAME,e,i,s)}save(e,t){if(this.lock&&t.lock)return d.call(this,e,this.get(e));const n=t.updateFlags,r=this._validateStateBeforeSave(e,t,n);return n.label&&this._saveLabel(t.label),n.lock&&this._saveLock(t.lock),n.pinned&&this._savePinned(t.pinned),n.color&&this._saveColor(t.color),n.hidden&&this._saveHidden(t.hidden),n.points&&r.length&&this._savePoints(e,r),n.outside&&this._saveOutside(e,t.outside),n.occluded&&this._saveOccluded(e,t.occluded),n.zOrder&&this._saveZOrder(e,t.zOrder),n.attributes&&this._saveAttributes(e,t.attributes),n.keyframe&&this._saveKeyframe(e,t.keyframe),this.updateTimestamp(n),n.reset(),d.call(this,e,this.get(e))}getPosition(e,t,n){const r=e in this.shapes?e:t,i=Number.isInteger(n)?this.shapes[n]:null,s=Number.isInteger(r)?this.shapes[r]:null;if(s&&i)return{...this.interpolatePosition(s,i,(e-r)/(n-r)),keyframe:e in this.shapes};if(s)return{points:[...s.points],occluded:s.occluded,outside:s.outside,zOrder:s.zOrder,keyframe:e in this.shapes};if(i)return{points:[...i.points],occluded:i.occluded,outside:!0,zOrder:i.zOrder,keyframe:e in this.shapes};throw new u("No one left position or right position was found. "+"Interpolation impossible. Client ID: ".concat(this.clientID))}}class k extends v{constructor(e,t,n,r){super(e,t,n,r),this.shapeType=s.RECTANGLE,this.pinned=!1,m(this.shapeType,this.points)}static distance(e,t,n){const[r,i,s,a]=e;return t>=r&&t<=s&&n>=i&&n<=a?Math.min.apply(null,[t-r,n-i,s-t,a-n]):null}}class S extends v{constructor(e,t,n,r){super(e,t,n,r)}}class x extends S{constructor(e,t,n,r){super(e,t,n,r),this.shapeType=s.POLYGON,m(this.shapeType,this.points)}static distance(e,t,n){function r(e,r,i,s){return(i-e)*(n-r)-(t-e)*(s-r)}let i=0;const s=[];for(let a=0,o=e.length-2;a<e.length-1;o=a,a+=2){const c=e[o],u=e[o+1],l=e[a],p=e[a+1];u<=n?p>n&&r(c,u,l,p)>0&&i++:p<=n&&r(c,u,l,p)<0&&i--;const h=t-(u-p),f=n-(l-c);(h-c)*(l-h)>=0&&(f-u)*(p-f)>=0?s.push(Math.sqrt(Math.pow(t-h,2)+Math.pow(n-f,2))):s.push(Math.min(Math.sqrt(Math.pow(c-t,2)+Math.pow(u-n,2)),Math.sqrt(Math.pow(l-t,2)+Math.pow(p-n,2))))}return 0!==i?Math.min.apply(null,s):null}}class O extends 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r=[t.points[0]-e.points[0],t.points[1]-e.points[1],t.points[2]-e.points[2],t.points[3]-e.points[3]];return{points:[e.points[0]+r[0]*n,e.points[1]+r[1]*n,e.points[2]+r[2]*n,e.points[3]+r[3]*n],occluded:e.occluded,outside:e.outside,zOrder:e.zOrder}}}class j extends w{constructor(e,t,n,r){super(e,t,n,r)}interpolatePosition(e,t,n){function r(e){let t=Number.MAX_SAFE_INTEGER,n=Number.MAX_SAFE_INTEGER,r=Number.MIN_SAFE_INTEGER,i=Number.MIN_SAFE_INTEGER;for(let s=0;s<e.length;s+=2)e[s]<t&&(t=e[s]),e[s+1]<n&&(n=e[s+1]),e[s]>r&&(r=e[s]),e[s+1]>i&&(i=e[s+1]);return{xmin:t,ymin:n,xmax:r,ymax:i}}function i(e,t){const n=[],r=t.xmax-t.xmin,i=t.ymax-t.ymin;for(let s=0;s<e.length;s+=2)n.push((e[s]-t.xmin)/r,(e[s+1]-t.ymin)/i);return n}function s(e,t){const n=[],r=t.xmax-t.xmin,i=t.ymax-t.ymin;for(let s=0;s<e.length;s+=2)n.push(e[s]*r+t.xmin,e[s+1]*i+t.ymin);return n}function a(e){const t=[];for(let n=0;n<e.length;n+=2)t.push({x:e[n],y:e[n+1]});return t}function o(e){const t=[];for(const n of 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o}(Array.from(e.keys()),Array.from(t.keys()),a),c=(n(t)+n(e))/(t.length+e.length);!function(e,t){for(const n of Object.keys(e))e[n].distance>t&&delete e[n]}(o,c+3*Math.sqrt((r(e,c)+r(t,c))/(e.length+t.length)));for(const e of Object.keys(o))o[e]=o[e].value;const u=this.appendMapping(o,e,t);for(const n of u)i.push(e[n]),s.push(t[o[n]]);return[i,s]}if(0===n)return{points:[...e.points],occluded:e.occluded,outside:e.outside,zOrder:e.zOrder};let u=r(e.points),l=r(t.points);(u.xmax-u.xmin<1||l.ymax-l.ymin<1)&&(l=u={xmin:0,xmax:1024,ymin:0,ymax:768});const p=a(i(e.points,u)),h=a(i(t.points,l));let f=[],d=[];if(p.length>h.length){const[e,t]=c.call(this,h,p);f=t,d=e}else{const[e,t]=c.call(this,p,h);f=e,d=t}const m=s(o(f),u),b=s(o(d),l),y=[];for(let e=0;e<m.length;e++)y.push(m[e]+(b[e]-m[e])*n);return{points:y,occluded:e.occluded,outside:e.outside,zOrder:e.zOrder}}appendMapping(e,t,n){const r=Object.values(e).map(e=>+e),i=Object.keys(e).map(e=>+e),s=[];function a(e){let 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34:this.$=a[c]}},table:[{3:1,4:[1,2],6:3,13:4,15:[1,5],16:[1,6],17:[1,7],18:[1,8],19:[1,9]},{1:[3]},{1:[2,1],5:10,7:11,8:12,9:13,10:14,11:15,12:[1,18],14:[1,19],20:16,21:17,22:[1,20]},{1:[2,3],5:21,7:11,8:12,9:13,10:14,11:15,12:[1,18],14:[1,19],20:16,21:17,22:[1,20]},{1:[2,12],12:[2,12],14:[2,12],22:[2,12]},{1:[2,14],12:[2,14],14:[2,14],22:[2,14]},{1:[2,15],12:[2,15],14:[2,15],22:[2,15]},{1:[2,16],12:[2,16],14:[2,16],22:[2,16]},{1:[2,17],12:[2,17],14:[2,17],22:[2,17]},{1:[2,18],12:[2,18],14:[2,18],22:[2,18]},{1:[2,2],7:22,8:12,9:13,10:14,11:15,12:[1,18],14:[1,19],20:16,21:17,22:[1,20]},{1:[2,5],12:[2,5],14:[2,5],22:[2,5]},{1:[2,7],12:[2,7],14:[2,7],22:[2,7]},{1:[2,8],12:[2,8],14:[2,8],22:[2,8]},{1:[2,9],12:[2,9],14:[2,9],22:[2,9]},{1:[2,10],12:[2,10],14:[2,10],22:[2,10]},{1:[2,19],12:[2,19],14:[2,19],22:[2,19]},{1:[2,20],12:[2,20],14:[2,20],22:[2,20]},{13:23,15:[1,5],16:[1,6],17:[1,7],18:[1,8],19:[1,9]},{13:24,15:[1,5],16:[1,6],17:[1,7],18:[1,8],19:[1,9],22:[1,25]},{15:[1,29],17:[1,30],18:[1,33],23:26,25:27,26:28,27:32,29:34,30:[1,35],31:[1,31],32:[1,36],33:[1,37]},{1:[2,4],7:22,8:12,9:13,10:14,11:15,12:[1,18],14:[1,19],20:16,21:17,22:[1,20]},{1:[2,6],12:[2,6],14:[2,6],22:[2,6]},{1:[2,11],12:[2,11],14:[2,11],22:[2,11]},{1:[2,13],12:[2,13],14:[2,13],22:[2,13]},{15:[1,29],17:[1,30],18:[1,33],23:38,25:27,26:28,27:32,29:34,30:[1,35],31:[1,31],32:[1,36],33:[1,37]},{24:[1,39]},{24:[2,23]},{24:[2,24],28:[1,40]},{24:[2,30]},{24:[2,31]},{24:[2,32]},{24:[2,25],28:[2,25]},{24:[2,27],28:[2,27]},{24:[2,28],28:[2,28]},{24:[2,29],28:[2,29]},{24:[2,33],28:[2,33]},{24:[2,34],28:[2,34]},{24:[1,41]},{1:[2,21],12:[2,21],14:[2,21],22:[2,21]},{18:[1,33],27:42,29:34,30:[1,35],32:[1,36],33:[1,37]},{1:[2,22],12:[2,22],14:[2,22],22:[2,22]},{24:[2,26],28:[2,26]}],defaultActions:{27:[2,23],29:[2,30],30:[2,31],31:[2,32]},parseError:function(e,t){if(!t.recoverable)throw new Error(e);this.trace(e)},parse:function(e){var t=this,n=[0],r=[null],i=[],s=this.table,a="",o=0,c=0,u=0,l=2,p=1,h=i.slice.call(arguments,1);this.lexer.setInput(e),this.lexer.yy=this.yy,this.yy.lexer=this.lexer,this.yy.parser=this,void 0===this.lexer.yylloc&&(this.lexer.yylloc={});var f=this.lexer.yylloc;i.push(f);var d=this.lexer.options&&this.lexer.options.ranges;function m(){var e;return"number"!=typeof(e=t.lexer.lex()||p)&&(e=t.symbols_[e]||e),e}"function"==typeof this.yy.parseError?this.parseError=this.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var b,y,g,v,w,k,S,x,O,_={};;){if(g=n[n.length-1],this.defaultActions[g]?v=this.defaultActions[g]:(null==b&&(b=m()),v=s[g]&&s[g][b]),void 0===v||!v.length||!v[0]){var E="";for(k in O=[],s[g])this.terminals_[k]&&k>l&&O.push("'"+this.terminals_[k]+"'");E=this.lexer.showPosition?"Parse error on line "+(o+1)+":\n"+this.lexer.showPosition()+"\nExpecting "+O.join(", ")+", got '"+(this.terminals_[b]||b)+"'":"Parse error on line "+(o+1)+": Unexpected "+(b==p?"end of input":"'"+(this.terminals_[b]||b)+"'"),this.parseError(E,{text:this.lexer.match,token:this.terminals_[b]||b,line:this.lexer.yylineno,loc:f,expected:O})}if(v[0]instanceof Array&&v.length>1)throw new Error("Parse Error: multiple actions possible at state: "+g+", token: "+b);switch(v[0]){case 1:n.push(b),r.push(this.lexer.yytext),i.push(this.lexer.yylloc),n.push(v[1]),b=null,y?(b=y,y=null):(c=this.lexer.yyleng,a=this.lexer.yytext,o=this.lexer.yylineno,f=this.lexer.yylloc,u>0&&u--);break;case 2:if(S=this.productions_[v[1]][1],_.$=r[r.length-S],_._$={first_line:i[i.length-(S||1)].first_line,last_line:i[i.length-1].last_line,first_column:i[i.length-(S||1)].first_column,last_column:i[i.length-1].last_column},d&&(_._$.range=[i[i.length-(S||1)].range[0],i[i.length-1].range[1]]),void 0!==(w=this.performAction.apply(_,[a,c,o,this.yy,v[1],r,i].concat(h))))return w;S&&(n=n.slice(0,-1*S*2),r=r.slice(0,-1*S),i=i.slice(0,-1*S)),n.push(this.productions_[v[1]][0]),r.push(_.$),i.push(_._$),x=s[n[n.length-2]][n[n.length-1]],n.push(x);break;case 3:return!0}}return!0}},t={initialize:function(){this._nodes=[],this._node={},this._stash=[]},set:function(e){for(var t in e)this._node[t]=e[t];return this._node},node:function(e){return arguments.length&&(this._node=e),this._node},push:function(){this._nodes.push(this._node),this._node={}},unshift:function(){this._nodes.unshift(this._node),this._node={}},yield:function(){var e=this._nodes;return this.initialize(),e}},n={EOF:1,parseError:function(e,t){if(!this.yy.parser)throw new Error(e);this.yy.parser.parseError(e,t)},setInput:function(e){return this._input=e,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var e=this._input[0];return this.yytext+=e,this.yyleng++,this.offset++,this.match+=e,this.matched+=e,e.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),e},unput:function(e){var t=e.length,n=e.split(/(?:\r\n?|\n)/g);this._input=e+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-t-1),this.offset-=t;var r=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===r.length?this.yylloc.first_column:0)+r[r.length-n.length].length-n[0].length:this.yylloc.first_column-t},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-t]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(e){this.unput(this.match.slice(e))},pastInput:function(){var e=this.matched.substr(0,this.matched.length-this.match.length);return(e.length>20?"...":"")+e.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var e=this.match;return e.length<20&&(e+=this._input.substr(0,20-e.length)),(e.substr(0,20)+(e.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var e=this.pastInput(),t=new Array(e.length+1).join("-");return e+this.upcomingInput()+"\n"+t+"^"},test_match:function(e,t){var n,r,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),(r=e[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=r.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:r?r[r.length-1].length-r[r.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+e[0].length},this.yytext+=e[0],this.match+=e[0],this.matches=e,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(e[0].length),this.matched+=e[0],n=this.performAction.call(this,this.yy,this,t,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var s in i)this[s]=i[s];return!1}return!1},next:function(){if(this.done)return this.EOF;var e,t,n,r;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var i=this._currentRules(),s=0;s<i.length;s++)if((n=this._input.match(this.rules[i[s]]))&&(!t||n[0].length>t[0].length)){if(t=n,r=s,this.options.backtrack_lexer){if(!1!==(e=this.test_match(n,i[s])))return e;if(this._backtrack){t=!1;continue}return!1}if(!this.options.flex)break}return t?!1!==(e=this.test_match(t,i[r]))&&e:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var e=this.next();return e||this.lex()},begin:function(e){this.conditionStack.push(e)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(e){return(e=this.conditionStack.length-1-Math.abs(e||0))>=0?this.conditionStack[e]:"INITIAL"},pushState:function(e){this.begin(e)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(e,t,n,r){switch(n){case 0:return 4;case 1:return 14;case 2:return 12;case 3:return 15;case 4:return 16;case 5:return 22;case 6:return 24;case 7:return 28;case 8:return 30;case 9:return 18;case 10:return t.yytext=t.yytext.substr(1,t.yyleng-2),32;case 11:return t.yytext=t.yytext.substr(1,t.yyleng-2),33;case 12:return 17;case 13:return 31}},rules:[/^(?:\$)/,/^(?:\.\.)/,/^(?:\.)/,/^(?:\*)/,/^(?:[a-zA-Z_]+[a-zA-Z0-9_]*)/,/^(?:\[)/,/^(?:\])/,/^(?:,)/,/^(?:((-?(?:0|[1-9][0-9]*)))?\:((-?(?:0|[1-9][0-9]*)))?(\:((-?(?:0|[1-9][0-9]*)))?)?)/,/^(?:(-?(?:0|[1-9][0-9]*)))/,/^(?:"(?:\\["bfnrt/\\]|\\u[a-fA-F0-9]{4}|[^"\\])*")/,/^(?:'(?:\\['bfnrt/\\]|\\u[a-fA-F0-9]{4}|[^'\\])*')/,/^(?:\(.+?\)(?=\]))/,/^(?:\?\(.+?\)(?=\]))/],conditions:{INITIAL:{rules:[0,1,2,3,4,5,6,7,8,9,10,11,12,13],inclusive:!0}}};function r(){this.yy={}}return e.lexer=n,r.prototype=e,e.Parser=r,new r}();void 0!==e&&void 0!==n&&(n.parser=i,n.Parser=i.Parser,n.parse=function(){return i.parse.apply(i,arguments)},n.main=function(t){t[1]||(console.log("Usage: "+t[0]+" FILE"),r.exit(1));var i=e("fs").readFileSync(e("path").normalize(t[1]),"utf8");return n.parser.parse(i)},void 0!==t&&e.main===t&&n.main(r.argv.slice(1)))}).call(this,e("_process"))},{_process:14,fs:12,path:13}],2:[function(e,t,n){t.exports={identifier:"[a-zA-Z_]+[a-zA-Z0-9_]*",integer:"-?(?:0|[1-9][0-9]*)",qq_string:'"(?:\\\\["bfnrt/\\\\]|\\\\u[a-fA-F0-9]{4}|[^"\\\\])*"',q_string:"'(?:\\\\['bfnrt/\\\\]|\\\\u[a-fA-F0-9]{4}|[^'\\\\])*'"}},{}],3:[function(e,t,n){var r=e("./dict"),i=e("fs"),s={lex:{macros:{esc:"\\\\",int:r.integer},rules:[["\\$","return 'DOLLAR'"],["\\.\\.","return 'DOT_DOT'"],["\\.","return 'DOT'"],["\\*","return 'STAR'"],[r.identifier,"return 'IDENTIFIER'"],["\\[","return '['"],["\\]","return ']'"],[",","return ','"],["({int})?\\:({int})?(\\:({int})?)?","return 'ARRAY_SLICE'"],["{int}","return 'INTEGER'"],[r.qq_string,"yytext = yytext.substr(1,yyleng-2); return 'QQ_STRING';"],[r.q_string,"yytext = yytext.substr(1,yyleng-2); return 'Q_STRING';"],["\\(.+?\\)(?=\\])","return 'SCRIPT_EXPRESSION'"],["\\?\\(.+?\\)(?=\\])","return 'FILTER_EXPRESSION'"]]},start:"JSON_PATH",bnf:{JSON_PATH:[["DOLLAR",'yy.ast.set({ expression: { type: "root", value: $1 } }); yy.ast.unshift(); return yy.ast.yield()'],["DOLLAR PATH_COMPONENTS",'yy.ast.set({ expression: { type: "root", value: $1 } }); yy.ast.unshift(); return yy.ast.yield()'],["LEADING_CHILD_MEMBER_EXPRESSION","yy.ast.unshift(); return yy.ast.yield()"],["LEADING_CHILD_MEMBER_EXPRESSION PATH_COMPONENTS",'yy.ast.set({ operation: "member", scope: "child", expression: { type: "identifier", value: $1 }}); yy.ast.unshift(); return yy.ast.yield()']],PATH_COMPONENTS:[["PATH_COMPONENT",""],["PATH_COMPONENTS PATH_COMPONENT",""]],PATH_COMPONENT:[["MEMBER_COMPONENT",'yy.ast.set({ operation: "member" }); yy.ast.push()'],["SUBSCRIPT_COMPONENT",'yy.ast.set({ operation: "subscript" }); yy.ast.push() ']],MEMBER_COMPONENT:[["CHILD_MEMBER_COMPONENT",'yy.ast.set({ scope: "child" })'],["DESCENDANT_MEMBER_COMPONENT",'yy.ast.set({ scope: "descendant" })']],CHILD_MEMBER_COMPONENT:[["DOT MEMBER_EXPRESSION",""]],LEADING_CHILD_MEMBER_EXPRESSION:[["MEMBER_EXPRESSION",'yy.ast.set({ scope: "child", operation: "member" })']],DESCENDANT_MEMBER_COMPONENT:[["DOT_DOT MEMBER_EXPRESSION",""]],MEMBER_EXPRESSION:[["STAR",'yy.ast.set({ expression: { type: "wildcard", value: $1 } })'],["IDENTIFIER",'yy.ast.set({ expression: { type: "identifier", value: $1 } })'],["SCRIPT_EXPRESSION",'yy.ast.set({ expression: { type: "script_expression", value: $1 } })'],["INTEGER",'yy.ast.set({ expression: { type: "numeric_literal", value: parseInt($1) } })'],["END",""]],SUBSCRIPT_COMPONENT:[["CHILD_SUBSCRIPT_COMPONENT",'yy.ast.set({ scope: "child" })'],["DESCENDANT_SUBSCRIPT_COMPONENT",'yy.ast.set({ scope: "descendant" })']],CHILD_SUBSCRIPT_COMPONENT:[["[ SUBSCRIPT ]",""]],DESCENDANT_SUBSCRIPT_COMPONENT:[["DOT_DOT [ SUBSCRIPT ]",""]],SUBSCRIPT:[["SUBSCRIPT_EXPRESSION",""],["SUBSCRIPT_EXPRESSION_LIST",'$1.length > 1? yy.ast.set({ expression: { type: "union", value: $1 } }) : $$ = $1']],SUBSCRIPT_EXPRESSION_LIST:[["SUBSCRIPT_EXPRESSION_LISTABLE","$$ = [$1]"],["SUBSCRIPT_EXPRESSION_LIST , SUBSCRIPT_EXPRESSION_LISTABLE","$$ = $1.concat($3)"]],SUBSCRIPT_EXPRESSION_LISTABLE:[["INTEGER",'$$ = { expression: { type: "numeric_literal", value: parseInt($1) } }; yy.ast.set($$)'],["STRING_LITERAL",'$$ = { expression: { type: "string_literal", value: $1 } }; yy.ast.set($$)'],["ARRAY_SLICE",'$$ = { expression: { type: "slice", value: $1 } }; yy.ast.set($$)']],SUBSCRIPT_EXPRESSION:[["STAR",'$$ = { expression: { type: "wildcard", value: $1 } }; yy.ast.set($$)'],["SCRIPT_EXPRESSION",'$$ = { expression: { type: "script_expression", value: $1 } }; yy.ast.set($$)'],["FILTER_EXPRESSION",'$$ = { expression: { type: "filter_expression", value: $1 } }; yy.ast.set($$)']],STRING_LITERAL:[["QQ_STRING","$$ = $1"],["Q_STRING","$$ = $1"]]}};i.readFileSync&&(s.moduleInclude=i.readFileSync(e.resolve("../include/module.js")),s.actionInclude=i.readFileSync(e.resolve("../include/action.js"))),t.exports=s},{"./dict":2,fs:12}],4:[function(e,t,n){var r=e("./aesprim"),i=e("./slice"),s=e("static-eval"),a=e("underscore").uniq,o=function(){return this.initialize.apply(this,arguments)};function c(t,n,i){var s=e("./index"),a=f(r.parse(n).body[0].expression,{"@":t.value}),o=i.replace(/\{\{\s*value\s*\}\}/g,a),c=s.nodes(t.value,o);return c.forEach((function(e){e.path=t.path.concat(e.path.slice(1))})),c}function u(e){return Array.isArray(e)}function l(e){return function(t,n,r,i){var s=t.value,a=t.path,o=[],c=function(t,s){var a;u(t)?(t.forEach((function(e,t){o.length>=i||r(t,e,n)&&o.push({path:s.concat(t),value:e})})),t.forEach((function(t,n){o.length>=i||e&&c(t,s.concat(n))}))):(a=t)&&!(a instanceof Array)&&a instanceof 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Function)throw new Error("handler must be a function");this._fns[e]=t},o.prototype._fns={"member-child-identifier":function(e,t){var n=e.expression.value,r=t.value;if(r instanceof Object&&n in r)return[{value:r[n],path:t.path.concat(n)}]},"member-descendant-identifier":h((function(e,t,n){return e==n})),"subscript-child-numeric_literal":p((function(e,t,n){return e===n})),"member-child-numeric_literal":p((function(e,t,n){return String(e)===String(n)})),"subscript-descendant-numeric_literal":h((function(e,t,n){return e===n})),"member-child-wildcard":p((function(){return!0})),"member-descendant-wildcard":h((function(){return!0})),"subscript-descendant-wildcard":h((function(){return!0})),"subscript-child-wildcard":p((function(){return!0})),"subscript-child-slice":function(e,t){if(u(t.value)){var n=e.expression.value.split(":").map(m),r=t.value.map((function(e,n){return{value:e,path:t.path.concat(n)}}));return i.apply(null,[r].concat(n))}},"subscript-child-union":function(e,t){var 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_cleanup(){if(this._blocksRanges.length>this._cachedBlockCount){const e=this._blocksRanges.shift(),[t,n]=e.split(":").map(e=>+e);delete this._blocks[t/this._blockSize];for(let e=t;e<=n;e++)delete this._frames[e]}const e=Math.floor(this._decodedBlocksCacheSize/2);for(let t=0;t<this._blocksRanges.length;t++){const[n,r]=this._blocksRanges[t].split(":").map(e=>+e);if(r<this._currFrame-e*this._blockSize||n>this._currFrame+e*this._blockSize)for(let e=n;e<=r;e++)delete this._frames[e]}}async requestDecodeBlock(e,t,n,r,i){const s=await this._mutex.acquire();try{null!==this._requestedBlockDecode&&(t===this._requestedBlockDecode.start&&n===this._requestedBlockDecode.end?(this._requestedBlockDecode.resolveCallback=r,this._requestedBlockDecode.rejectCallback=i):this._requestedBlockDecode.rejectCallback&&this._requestedBlockDecode.rejectCallback()),`${t}:${n}`in this._decodingBlocks?(this._decodingBlocks[`${t}:${n}`].rejectCallback=i,this._decodingBlocks[`${t}:${n}`].resolveCallback=r):this._requestedBlockDecode={block:e||this._blocks[Math.floor(t/this._blockSize)],start:t,end:n,resolveCallback:r,rejectCallback:i}}finally{s()}}isRequestExist(){return null!==this._requestedBlockDecode}setRenderSize(e,t){this._width=e,this._height=t}async frame(e){return this._currFrame=e,new Promise((t,n)=>{e in this._frames?null!==this._frames[e]?t(this._frames[e]):this._promisedFrames[e]={resolve:t,reject:n}:t(null)})}isNextChunkExists(e){const t=Math.floor(e/this._blockSize)+1;return"loading"===this._blocks[t]||t in this._blocks}setReadyToLoading(e){this._blocks[e]="loading"}static cropImage(e,t,n,r,i,s,a){if(0===r&&s===t&&0===i&&a===n)return new ImageData(new Uint8ClampedArray(e),s,a);const o=new Uint32Array(e),c=s*a*4,u=new ArrayBuffer(c),l=new Uint32Array(u),h=new Uint8ClampedArray(u);if(t===s)return new ImageData(new Uint8ClampedArray(e,4*i,c),s,a);let p=0;for(let e=i;e<a;e++){const n=e*t+r;l.set(o.subarray(n,n+s),p),p+=s}return new ImageData(h,s,a)}async startDecode(){const e=await this._mutex.acquire();try{const t=this._height,n=this._width,{start:r,end:l,block:h}=this._requestedBlockDecode;this._blocksRanges.push(`${r}:${l}`),this._decodingBlocks[`${r}:${l}`]=this._requestedBlockDecode,this._requestedBlockDecode=null,this._blocks[Math.floor((r+1)/this._blockSize)]=h;for(let e=r;e<=l;e++)this._frames[e]=null;if(this._cleanup(),this._blockType===c.MP4VIDEO){const e=new o;let a=r;e.onmessage=i=>{if(i.data.consoleLog)return;const s=Math.ceil(this._height/i.data.height);this._frames[a]=u.cropImage(i.data.buf,i.data.width,i.data.height,0,0,Math.floor(n/s),Math.floor(t/s)),this._decodingBlocks[`${r}:${l}`].resolveCallback&&this._decodingBlocks[`${r}:${l}`].resolveCallback(a),a in this._promisedFrames&&(this._promisedFrames[a].resolve(this._frames[a]),delete this._promisedFrames[a]),a===l&&(this._decodeThreadCount--,delete this._decodingBlocks[`${r}:${l}`],e.terminate()),a++},e.onerror=t=>{e.terminate(),this._decodeThreadCount--;for(let e=a;e<=l;e++)e in this._promisedFrames&&(this._promisedFrames[e].reject(),delete this._promisedFrames[e]);this._decodingBlocks[`${r}:${l}`].rejectCallback&&this._decodingBlocks[`${r}:${l}`].rejectCallback(Error(t)),delete this._decodingBlocks[`${r}:${l}`]},e.postMessage({type:"Broadway.js - Worker init",options:{rgb:!0,reuseMemory:!1}});const c=new i(new s(h));c.read();const p=c.tracks[1],f=c.tracks[1].trak.mdia.minf.stbl.stsd.avc1.avcC,d=f.sps[0],m=f.pps[0];e.postMessage({buf:d,offset:0,length:d.length}),e.postMessage({buf:m,offset:0,length:m.length});for(let t=0;t<p.getSampleCount();t++)p.getSampleNALUnits(t).forEach(t=>{e.postMessage({buf:t,offset:0,length:t.length})});this._decodeThreadCount++}else{const e=new a;let t=r;e.onerror=t=>{for(let e=r;e<=l;e++)e in this._promisedFrames&&(this._promisedFrames[e].reject(),delete this._promisedFrames[e]);this._decodingBlocks[`${r}:${l}`].rejectCallback&&this._decodingBlocks[`${r}:${l}`].rejectCallback(Error(t)),this._decodeThreadCount--,e.terminate()},e.onmessage=n=>{this._frames[n.data.index]=n.data.data,this._decodingBlocks[`${r}:${l}`].resolveCallback&&this._decodingBlocks[`${r}:${l}`].resolveCallback(n.data.index),n.data.index in this._promisedFrames&&(this._promisedFrames[n.data.index].resolve(this._frames[n.data.index]),delete this._promisedFrames[n.data.index]),t===l&&(e.terminate(),delete this._decodingBlocks[`${r}:${l}`],this._decodeThreadCount--),t++},e.postMessage({block:h,start:r,end:l}),this._decodeThreadCount++}}finally{e()}}get decodeThreadCount(){return this._decodeThreadCount}get decodedBlocksCacheSize(){return this._decodedBlocksCacheSize}get cachedFrames(){return[...this._blocksRanges].sort((e,t)=>e.split(":")[0]-t.split(":")[0])}}e.exports={FrameProvider:u,BlockType:c}},function(e,t,n){"use strict";Object.defineProperty(t,"__esModule",{value:!0});var r=n(64);t.Mutex=r.default},function(e,t,n){"use strict";Object.defineProperty(t,"__esModule",{value:!0});var r=function(){function e(){this._queue=[],this._pending=!1}return e.prototype.isLocked=function(){return this._pending},e.prototype.acquire=function(){var e=this,t=new Promise((function(t){return e._queue.push(t)}));return this._pending||this._dispatchNext(),t},e.prototype.runExclusive=function(e){return this.acquire().then((function(t){var n;try{n=e()}catch(e){throw t(),e}return Promise.resolve(n).then((function(e){return t(),e}),(function(e){throw t(),e}))}))},e.prototype._dispatchNext=function(){this._queue.length>0?(this._pending=!0,this._queue.shift()(this._dispatchNext.bind(this))):this._pending=!1},e}();t.default=r},function(e,t){e.exports=function(){"use strict";function e(e,t){e||error(t)}var t,n=function(){function e(e,t){this.w=e,this.h=t}return e.prototype={toString:function(){return"("+this.w+", "+this.h+")"},getHalfSize:function(){return new n(this.w>>>1,this.h>>>1)},length:function(){return this.w*this.h}},e}(),r=function(){function t(e,t,n){this.bytes=new Uint8Array(e),this.start=t||0,this.pos=this.start,this.end=t+n||this.bytes.length}return t.prototype={get length(){return this.end-this.start},get position(){return this.pos},get remaining(){return this.end-this.pos},readU8Array:function(e){if(this.pos>this.end-e)return null;var t=this.bytes.subarray(this.pos,this.pos+e);return this.pos+=e,t},readU32Array:function(e,t,n){if(t=t||1,this.pos>this.end-e*t*4)return null;if(1==t){for(var r=new Uint32Array(e),i=0;i<e;i++)r[i]=this.readU32();return r}for(r=new Array(e),i=0;i<e;i++){var s=null;if(n){s={};for(var a=0;a<t;a++)s[n[a]]=this.readU32()}else{s=new Uint32Array(t);for(a=0;a<t;a++)s[a]=this.readU32()}r[i]=s}return r},read8:function(){return this.readU8()<<24>>24},readU8:function(){return this.pos>=this.end?null:this.bytes[this.pos++]},read16:function(){return this.readU16()<<16>>16},readU16:function(){if(this.pos>=this.end-1)return null;var e=this.bytes[this.pos+0]<<8|this.bytes[this.pos+1];return this.pos+=2,e},read24:function(){return this.readU24()<<8>>8},readU24:function(){var e=this.pos,t=this.bytes;if(e>this.end-3)return null;var n=t[e+0]<<16|t[e+1]<<8|t[e+2];return this.pos+=3,n},peek32:function(e){var t=this.pos,n=this.bytes;if(t>this.end-4)return null;var r=n[t+0]<<24|n[t+1]<<16|n[t+2]<<8|n[t+3];return e&&(this.pos+=4),r},read32:function(){return this.peek32(!0)},readU32:function(){return this.peek32(!0)>>>0},read4CC:function(){var e=this.pos;if(e>this.end-4)return null;for(var t="",n=0;n<4;n++)t+=String.fromCharCode(this.bytes[e+n]);return this.pos+=4,t},readFP16:function(){return this.read32()/65536},readFP8:function(){return this.read16()/256},readISO639:function(){for(var e=this.readU16(),t="",n=0;n<3;n++){var r=e>>>5*(2-n)&31;t+=String.fromCharCode(r+96)}return t},readUTF8:function(e){for(var t="",n=0;n<e;n++)t+=String.fromCharCode(this.readU8());return t},readPString:function(t){var n=this.readU8();e(n<=t);var r=this.readUTF8(n);return this.reserved(t-n-1,0),r},skip:function(e){this.seek(this.pos+e)},reserved:function(t,n){for(var r=0;r<t;r++)e(this.readU8()==n)},seek:function(e){(e<0||e>this.end)&&error("Index out of bounds (bounds: [0, "+this.end+"], index: "+e+")."),this.pos=e},subStream:function(e,t){return new r(this.bytes.buffer,e,t)}},t}(),i=function(){function t(e){this.stream=e,this.tracks={}}return t.prototype={readBoxes:function(e,t){for(;e.peek32();){var n=this.readBox(e);if(n.type in t){var r=t[n.type];r instanceof Array||(t[n.type]=[r]),t[n.type].push(n)}else t[n.type]=n}},readBox:function(t){var n={offset:t.position};function r(){n.version=t.readU8(),n.flags=t.readU24()}function i(){return n.size-(t.position-n.offset)}function a(){t.skip(i())}var o=function(){var e=t.subStream(t.position,i());this.readBoxes(e,n),t.skip(e.length)}.bind(this);switch(n.size=t.readU32(),n.type=t.read4CC(),n.type){case"ftyp":n.name="File Type Box",n.majorBrand=t.read4CC(),n.minorVersion=t.readU32(),n.compatibleBrands=new Array((n.size-16)/4);for(var c=0;c<n.compatibleBrands.length;c++)n.compatibleBrands[c]=t.read4CC();break;case"moov":n.name="Movie Box",o();break;case"mvhd":n.name="Movie Header Box",r(),e(0==n.version),n.creationTime=t.readU32(),n.modificationTime=t.readU32(),n.timeScale=t.readU32(),n.duration=t.readU32(),n.rate=t.readFP16(),n.volume=t.readFP8(),t.skip(10),n.matrix=t.readU32Array(9),t.skip(24),n.nextTrackId=t.readU32();break;case"trak":n.name="Track Box",o(),this.tracks[n.tkhd.trackId]=new s(this,n);break;case"tkhd":n.name="Track Header Box",r(),e(0==n.version),n.creationTime=t.readU32(),n.modificationTime=t.readU32(),n.trackId=t.readU32(),t.skip(4),n.duration=t.readU32(),t.skip(8),n.layer=t.readU16(),n.alternateGroup=t.readU16(),n.volume=t.readFP8(),t.skip(2),n.matrix=t.readU32Array(9),n.width=t.readFP16(),n.height=t.readFP16();break;case"mdia":n.name="Media Box",o();break;case"mdhd":n.name="Media Header Box",r(),e(0==n.version),n.creationTime=t.readU32(),n.modificationTime=t.readU32(),n.timeScale=t.readU32(),n.duration=t.readU32(),n.language=t.readISO639(),t.skip(2);break;case"hdlr":n.name="Handler Reference Box",r(),t.skip(4),n.handlerType=t.read4CC(),t.skip(12);var u=n.size-32;u>0&&(n.name=t.readUTF8(u));break;case"minf":n.name="Media Information Box",o();break;case"stbl":n.name="Sample Table Box",o();break;case"stsd":n.name="Sample Description Box",r(),n.sd=[];t.readU32();o();break;case"avc1":t.reserved(6,0),n.dataReferenceIndex=t.readU16(),e(0==t.readU16()),e(0==t.readU16()),t.readU32(),t.readU32(),t.readU32(),n.width=t.readU16(),n.height=t.readU16(),n.horizontalResolution=t.readFP16(),n.verticalResolution=t.readFP16(),e(0==t.readU32()),n.frameCount=t.readU16(),n.compressorName=t.readPString(32),n.depth=t.readU16(),e(65535==t.readU16()),o();break;case"mp4a":t.reserved(6,0),n.dataReferenceIndex=t.readU16(),n.version=t.readU16(),t.skip(2),t.skip(4),n.channelCount=t.readU16(),n.sampleSize=t.readU16(),n.compressionId=t.readU16(),n.packetSize=t.readU16(),n.sampleRate=t.readU32()>>>16,e(0==n.version),o();break;case"esds":n.name="Elementary Stream Descriptor",r(),a();break;case"avcC":n.name="AVC Configuration Box",n.configurationVersion=t.readU8(),n.avcProfileIndication=t.readU8(),n.profileCompatibility=t.readU8(),n.avcLevelIndication=t.readU8(),n.lengthSizeMinusOne=3&t.readU8(),e(3==n.lengthSizeMinusOne,"TODO");var l=31&t.readU8();n.sps=[];for(c=0;c<l;c++)n.sps.push(t.readU8Array(t.readU16()));l=31&t.readU8();n.pps=[];for(c=0;c<l;c++)n.pps.push(t.readU8Array(t.readU16()));a();break;case"btrt":n.name="Bit Rate Box",n.bufferSizeDb=t.readU32(),n.maxBitrate=t.readU32(),n.avgBitrate=t.readU32();break;case"stts":n.name="Decoding Time to Sample Box",r(),n.table=t.readU32Array(t.readU32(),2,["count","delta"]);break;case"stss":n.name="Sync Sample Box",r(),n.samples=t.readU32Array(t.readU32());break;case"stsc":n.name="Sample to Chunk Box",r(),n.table=t.readU32Array(t.readU32(),3,["firstChunk","samplesPerChunk","sampleDescriptionId"]);break;case"stsz":n.name="Sample Size Box",r(),n.sampleSize=t.readU32();l=t.readU32();0==n.sampleSize&&(n.table=t.readU32Array(l));break;case"stco":n.name="Chunk Offset Box",r(),n.table=t.readU32Array(t.readU32());break;case"smhd":n.name="Sound Media Header Box",r(),n.balance=t.readFP8(),t.reserved(2,0);break;case"mdat":n.name="Media Data Box",e(n.size>=8,"Cannot parse large media data yet."),n.data=t.readU8Array(i());break;default:a()}return n},read:function(){var e=(new Date).getTime();this.file={},this.readBoxes(this.stream,this.file),console.info("Parsed stream in "+((new Date).getTime()-e)+" ms")},traceSamples:function(){var e=this.tracks[1],t=this.tracks[2];console.info("Video Samples: "+e.getSampleCount()),console.info("Audio Samples: "+t.getSampleCount());for(var n=0,r=0,i=0;i<100;i++){var s=e.sampleToOffset(n),a=t.sampleToOffset(r),o=e.sampleToSize(n,1),c=t.sampleToSize(r,1);s<a?(console.info("V Sample "+n+" Offset : "+s+", Size : "+o),n++):(console.info("A Sample "+r+" Offset : "+a+", Size : "+c),r++)}}},t}(),s=function(){function t(e,t){this.file=e,this.trak=t}return t.prototype={getSampleSizeTable:function(){return this.trak.mdia.minf.stbl.stsz.table},getSampleCount:function(){return this.getSampleSizeTable().length},sampleToSize:function(e,t){for(var n=this.getSampleSizeTable(),r=0,i=e;i<e+t;i++)r+=n[i];return r},sampleToChunk:function(t){var n=this.trak.mdia.minf.stbl.stsc.table;if(1===n.length)return e(1===(s=n[0]).firstChunk),{index:Math.floor(t/s.samplesPerChunk),offset:t%s.samplesPerChunk};for(var r=0,i=0;i<n.length;i++){var s=n[i];if(i>0){var a=n[i-1],o=s.firstChunk-a.firstChunk,c=a.samplesPerChunk*o;if(!(t>=c))return{index:r+Math.floor(t/a.samplesPerChunk),offset:t%a.samplesPerChunk};if(t-=c,i==n.length-1)return{index:r+o+Math.floor(t/s.samplesPerChunk),offset:t%s.samplesPerChunk};r+=o}}e(!1)},chunkToOffset:function(e){return this.trak.mdia.minf.stbl.stco.table[e]},sampleToOffset:function(e){var t=this.sampleToChunk(e);return this.chunkToOffset(t.index)+this.sampleToSize(e-t.offset,t.offset)},timeToSample:function(e){for(var t=this.trak.mdia.minf.stbl.stts.table,n=0,r=0;r<t.length;r++){var i=t[r].count*t[r].delta;if(!(e>=i))return n+Math.floor(e/t[r].delta);e-=i,n+=t[r].count}},getTotalTime:function(){for(var t=this.trak.mdia.minf.stbl.stts.table,n=0,r=0;r<t.length;r++)n+=t[r].count*t[r].delta;return e(this.trak.mdia.mdhd.duration==n),this.trak.mdia.mdhd.duration},getTotalTimeInSeconds:function(){return this.timeToSeconds(this.getTotalTime())},getTimeScale:function(){return this.trak.mdia.mdhd.timeScale},timeToSeconds:function(e){return e/this.getTimeScale()},secondsToTime:function(e){return e*this.getTimeScale()},foo:function(){},getSampleNALUnits:function(e){for(var t=this.file.stream.bytes,n=this.sampleToOffset(e),i=n+this.sampleToSize(e,1),s=[];i-n>0;){var a=new r(t.buffer,n).readU32();s.push(t.subarray(n+4,n+a+4)),n=n+a+4}return s}},t}();t=[],window.addEventListener("message",(function(e){e.source==window&&"zero-timeout-message"==e.data&&(e.stopPropagation(),t.length>0&&t.shift()())}),!0),window.setZeroTimeout=function(e){t.push(e),window.postMessage("zero-timeout-message","*")};var a=function(){function e(e,n,r,i){this.stream=e,this.useWorkers=n,this.webgl=r,this.render=i,this.statistics={videoStartTime:0,videoPictureCounter:0,windowStartTime:0,windowPictureCounter:0,fps:0,fpsMin:1e3,fpsMax:-1e3,webGLTextureUploadTime:0},this.onStatisticsUpdated=function(){},this.avc=new Player({useWorker:n,reuseMemory:!0,webgl:r,size:{width:640,height:368}}),this.webgl=this.avc.webgl;var s=this;this.avc.onPictureDecoded=function(){t.call(s)},this.canvas=this.avc.canvas}function t(){var e=this.statistics;e.videoPictureCounter+=1,e.windowPictureCounter+=1;var t=Date.now();e.videoStartTime||(e.videoStartTime=t);var n=t-e.videoStartTime;if(e.elapsed=n/1e3,!(n<1e3))if(e.windowStartTime){if(t-e.windowStartTime>1e3){var r=t-e.windowStartTime,i=e.windowPictureCounter/r*1e3;e.windowStartTime=t,e.windowPictureCounter=0,i<e.fpsMin&&(e.fpsMin=i),i>e.fpsMax&&(e.fpsMax=i),e.fps=i}i=e.videoPictureCounter/n*1e3;e.fpsSinceStart=i,this.onStatisticsUpdated(this.statistics)}else e.windowStartTime=t}return e.prototype={readAll:function(e){console.info("MP4Player::readAll()"),this.stream.readAll(null,function(t){this.reader=new i(new r(t)),this.reader.read();var s=this.reader.tracks[1];this.size=new n(s.trak.tkhd.width,s.trak.tkhd.height),console.info("MP4Player::readAll(), length: "+this.reader.stream.length),e&&e()}.bind(this))},play:function(){var e=this.reader;if(e){var t=e.tracks[1],n=(e.tracks[2],e.tracks[1].trak.mdia.minf.stbl.stsd.avc1.avcC),r=n.sps[0],i=n.pps[0];this.avc.decode(r),this.avc.decode(i);var s=0;setTimeout(function e(){var n=this.avc;t.getSampleNALUnits(s).forEach((function(e){n.decode(e)})),++s<3e3&&setTimeout(e.bind(this),1)}.bind(this),1)}else this.readAll(this.play.bind(this))}},e}(),o=function(){function e(e){var t=e.attributes.src?e.attributes.src.value:void 0,n=(e.attributes.width&&e.attributes.width.value,e.attributes.height&&e.attributes.height.value,document.createElement("div"));n.setAttribute("style","z-index: 100; position: absolute; bottom: 0px; background-color: rgba(0,0,0,0.8); height: 30px; width: 100%; text-align: left;"),this.info=document.createElement("div"),this.info.setAttribute("style","font-size: 14px; font-weight: bold; padding: 6px; color: lime;"),n.appendChild(this.info),e.appendChild(n);var r=!!e.attributes.workers&&"true"==e.attributes.workers.value,i=!!e.attributes.render&&"true"==e.attributes.render.value,s="auto";e.attributes.webgl&&("true"==e.attributes.webgl.value&&(s=!0),"false"==e.attributes.webgl.value&&(s=!1));var o="";o+=r?"worker thread ":"main thread ",this.player=new a(new Stream(t),r,s,i),this.canvas=this.player.canvas,this.canvas.onclick=function(){this.play()}.bind(this),e.appendChild(this.canvas),o+=" - webgl: "+this.player.webgl,this.info.innerHTML="Click canvas to load and play - "+o,this.score=null,this.player.onStatisticsUpdated=function(e){if(e.videoPictureCounter%10==0){var t="";e.fps&&(t+=" fps: "+e.fps.toFixed(2)),e.fpsSinceStart&&(t+=" avg: "+e.fpsSinceStart.toFixed(2));e.videoPictureCounter<1200?this.score=1200-e.videoPictureCounter:1200==e.videoPictureCounter&&(this.score=e.fpsSinceStart.toFixed(2)),this.info.innerHTML=o+t}}.bind(this)}return e.prototype={play:function(){this.player.play()}},e}();return{Size:n,Track:s,MP4Reader:i,MP4Player:a,Bytestream:r,Broadway:o}}()},function(e,t){e.exports=function(){return new Worker("/static/engine/js/unzip_imgs.worker.js")}},function(e,t){e.exports=function(){return new Worker("/static/engine/js/3rdparty/Decoder.worker.js")}},function(e,t,n){"use strict";(function(e){Object.defineProperty(t,"__esModule",{value:!0});var n="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e},r="undefined"!=typeof window&&void 0!==window.document,i="object"===("undefined"==typeof self?"undefined":n(self))&&self.constructor&&"DedicatedWorkerGlobalScope"===self.constructor.name,s=void 0!==e&&null!=e.versions&&null!=e.versions.node;t.isBrowser=r,t.isWebWorker=i,t.isNode=s}).call(this,n(12))},function(e,t,n){(()=>{const t=n(4),r=n(70),i=n(74),s=n(75),{checkObjectType:a}=n(9),{Task:o}=n(7),{Loader:c,Dumper:u}=n(23),{ScriptingError:l,DataError:h,ArgumentError:p}=n(0),f=new WeakMap,d=new WeakMap;function m(e){if("task"===e)return d;if("job"===e)return f;throw new l(`Unknown session type was received ${e}`)}async function b(e){const n=e instanceof o?"task":"job",a=m(n);if(!a.has(e)){const o=await t.annotations.getAnnotations(n,e.id),c="job"===n?e.startFrame:0,u="job"===n?e.stopFrame:e.size-1,l={};for(let t=c;t<=u;t++)l[t]=await e.frames.get(t);const h=new s,p=new r({labels:e.labels||e.task.labels,history:h,startFrame:c,stopFrame:u,frameMeta:l});p.import(o);const f=new i(o.version,p,e);a.set(e,{collection:p,saver:f,history:h})}}e.exports={getAnnotations:async function(e,t,n,r){const i=m(e instanceof o?"task":"job");return i.has(e)||await b(e),i.get(e).collection.get(t,n,r)},putAnnotations:function(e,t){const n=m(e instanceof o?"task":"job");if(n.has(e))return n.get(e).collection.put(t);throw new h("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},saveAnnotations:async function(e,t){const n=m(e instanceof o?"task":"job");n.has(e)&&await n.get(e).saver.save(t)},hasUnsavedChanges:function(e){const t=m(e instanceof o?"task":"job");return!!t.has(e)&&t.get(e).saver.hasUnsavedChanges()},mergeAnnotations:function(e,t){const n=m(e instanceof o?"task":"job");if(n.has(e))return n.get(e).collection.merge(t);throw new h("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},searchAnnotations:function(e,t,n,r){const i=m(e instanceof o?"task":"job");if(i.has(e))return i.get(e).collection.search(t,n,r);throw new h("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},splitAnnotations:function(e,t,n){const r=m(e instanceof o?"task":"job");if(r.has(e))return r.get(e).collection.split(t,n);throw new h("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},groupAnnotations:function(e,t,n){const r=m(e instanceof o?"task":"job");if(r.has(e))return r.get(e).collection.group(t,n);throw new h("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},clearAnnotations:async function(e,t){a("reload",t,"boolean",null);const n=m(e instanceof o?"task":"job");n.has(e)&&n.get(e).collection.clear(),t&&(n.delete(e),await b(e))},annotationsStatistics:function(e){const t=m(e instanceof o?"task":"job");if(t.has(e))return t.get(e).collection.statistics();throw new h("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},selectObject:function(e,t,n,r){const i=m(e instanceof o?"task":"job");if(i.has(e))return i.get(e).collection.select(t,n,r);throw new h("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},uploadAnnotations:async function(e,n,r){const i=e instanceof o?"task":"job";if(!(r instanceof c))throw new p("A loader must be instance of Loader class");await t.annotations.uploadAnnotations(i,e.id,n,r.name)},dumpAnnotations:async function(e,n,r){if(!(r instanceof u))throw new p("A dumper must be instance of Dumper class");let i=null;return i="job"===(e instanceof o?"task":"job")?await t.annotations.dumpAnnotations(e.task.id,n,r.name):await t.annotations.dumpAnnotations(e.id,n,r.name),i},importAnnotations:function(e,t){const n=m(e instanceof o?"task":"job");if(n.has(e))return n.get(e).collection.import(t);throw new h("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},exportAnnotations:function(e){const t=m(e instanceof o?"task":"job");if(t.has(e))return t.get(e).collection.export();throw new h("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},exportDataset:async function(e,n){if(!(n instanceof String||"string"==typeof n))throw new p("Format must be a string");if(!(e instanceof o))throw new p("A dataset can only be created from a task");let r=null;return r=await t.tasks.exportDataset(e.id,n),r},undoActions:function(e,t){const n=m(e instanceof o?"task":"job");if(n.has(e))return n.get(e).history.undo(t);throw new h("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},redoActions:function(e,t){const n=m(e instanceof o?"task":"job");if(n.has(e))return n.get(e).history.redo(t);throw new h("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},clearActions:function(e){const t=m(e instanceof o?"task":"job");if(t.has(e))return t.get(e).history.clear();throw new h("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")},getActions:function(e){const t=m(e instanceof o?"task":"job");if(t.has(e))return t.get(e).history.get();throw new h("Collection has not been initialized yet. Call annotations.get() or annotations.clear(true) before")}}})()},function(e,t,n){(()=>{const{RectangleShape:t,PolygonShape:r,PolylineShape:i,PointsShape:s,CuboidShape:a,RectangleTrack:o,PolygonTrack:c,PolylineTrack:u,PointsTrack:l,CuboidTrack:h,Track:p,Shape:f,Tag:d,objectStateFactory:m}=n(71),b=n(72),{checkObjectType:y}=n(9),g=n(22),{Label:v}=n(8),{DataError:w,ArgumentError:k,ScriptingError:S}=n(0),{HistoryActions:x,ObjectShape:O,ObjectType:_,colors:E}=n(2),C=n(13);function j(e,n,o){const{type:c}=e,u=E[n%E.length];let l=null;switch(c){case"rectangle":l=new t(e,n,u,o);break;case"polygon":l=new r(e,n,u,o);break;case"polyline":l=new i(e,n,u,o);break;case"points":l=new s(e,n,u,o);break;case"cuboid":l=new a(e,n,u,o);break;default:throw new w(`An unexpected type of shape "${c}"`)}return l}function T(e,t,n){if(e.shapes.length){const{type:r}=e.shapes[0],i=E[t%E.length];let s=null;switch(r){case"rectangle":s=new o(e,t,i,n);break;case"polygon":s=new c(e,t,i,n);break;case"polyline":s=new u(e,t,i,n);break;case"points":s=new l(e,t,i,n);break;case"cuboid":s=new h(e,t,i,n);break;default:throw new w(`An unexpected type of track "${r}"`)}return s}return console.warn("The track without any shapes had been found. It was ignored."),null}e.exports=class{constructor(e){this.startFrame=e.startFrame,this.stopFrame=e.stopFrame,this.frameMeta=e.frameMeta,this.labels=e.labels.reduce((e,t)=>(e[t.id]=t,e),{}),this.annotationsFilter=new b,this.history=e.history,this.shapes={},this.tags={},this.tracks=[],this.objects={},this.count=0,this.flush=!1,this.groups={max:0},this.injection={labels:this.labels,groups:this.groups,frameMeta:this.frameMeta,history:this.history,groupColors:{}}}import(e){const t={tags:[],shapes:[],tracks:[]};for(const n of e.tags){const e=++this.count,r=E[e%E.length],i=new d(n,e,r,this.injection);this.tags[i.frame]=this.tags[i.frame]||[],this.tags[i.frame].push(i),this.objects[e]=i,t.tags.push(i)}for(const n of e.shapes){const e=++this.count,r=j(n,e,this.injection);this.shapes[r.frame]=this.shapes[r.frame]||[],this.shapes[r.frame].push(r),this.objects[e]=r,t.shapes.push(r)}for(const n of e.tracks){const e=++this.count,r=T(n,e,this.injection);r&&(this.tracks.push(r),this.objects[e]=r,t.tracks.push(r))}return t}export(){return{tracks:this.tracks.filter(e=>!e.removed).map(e=>e.toJSON()),shapes:Object.values(this.shapes).reduce((e,t)=>(e.push(...t),e),[]).filter(e=>!e.removed).map(e=>e.toJSON()),tags:Object.values(this.tags).reduce((e,t)=>(e.push(...t),e),[]).filter(e=>!e.removed).map(e=>e.toJSON())}}get(e,t,n){const{tracks:r}=this,i=this.shapes[e]||[],s=this.tags[e]||[],a=[].concat(r,i,s),o={models:[],data:[]};for(const n of a){if(n.removed)continue;const r=n.get(e);(t||!r.outside||r.keyframe)&&(o.models.push(n),o.data.push(r))}const[,c]=this.annotationsFilter.toJSONQuery(n);let u=[];n.length&&(u=this.annotationsFilter.filter(o.data,c));const l=[];return o.data.forEach((t,r)=>{if(!n.length||u.includes(t.clientID)){const n=o.models[r],i=m.call(n,e,t);l.push(i)}}),l}merge(e){if(y("shapes for merge",e,null,Array),!e.length)return;const t=e.map(e=>{y("object state",e,null,C);const t=this.objects[e.clientID];if(void 0===t)throw new k("The object has not been saved yet. Call ObjectState.put([state]) before you can merge it");return t}),n={},{label:r,shapeType:i}=e[0];if(!(r.id in this.labels))throw new k(`Unknown label for the task: ${r.id}`);if(!Object.values(O).includes(i))throw new k(`Got unknown shapeType "${i}"`);const s=r.attributes.reduce((e,t)=>(e[t.id]=t,e),{});for(let a=0;a<t.length;a++){const o=t[a],c=e[a];if(c.label.id!==r.id)throw new k(`All shape labels are expected to be ${r.name}, but got ${c.label.name}`);if(c.shapeType!==i)throw new k(`All shapes are expected to be ${i}, but got ${c.shapeType}`);if(o instanceof f){if(o.frame in n&&!n[o.frame].outside)throw new k("Expected only one visible shape per frame");n[o.frame]={type:i,frame:o.frame,points:[...o.points],occluded:o.occluded,zOrder:o.zOrder,outside:!1,attributes:Object.keys(o.attributes).reduce((e,t)=>(t in s&&s[t].mutable&&e.push({spec_id:+t,value:o.attributes[t]}),e),[])},!(o.frame+1 in n)&&o.frame+1<=this.stopFrame&&(n[o.frame+1]=JSON.parse(JSON.stringify(n[o.frame])),n[o.frame+1].outside=!0,n[o.frame+1].frame++)}else{if(!(o instanceof p))throw new k(`Trying to merge unknown object type: ${o.constructor.name}. `+"Only shapes and tracks are expected.");{const e={};for(const t of Object.keys(o.shapes)){const r=o.shapes[t];if(t in n&&!n[t].outside){if(r.outside)continue;throw new k("Expected only one visible shape per frame")}let s=!1;for(const t in r.attributes)t in e&&e[t]===r.attributes[t]||(s=!0,e[t]=r.attributes[t]);n[t]={type:i,frame:+t,points:[...r.points],occluded:r.occluded,outside:r.outside,zOrder:r.zOrder,attributes:s?Object.keys(e).reduce((t,n)=>(t.push({spec_id:+n,value:e[n]}),t),[]):[]}}}}}let a=!1;for(const e of Object.keys(n).sort((e,t)=>+e-+t)){if(a=a||n[e].outside,a||!n[e].outside)break;delete n[e]}const o=++this.count,c=T({frame:Math.min.apply(null,Object.keys(n).map(e=>+e)),shapes:Object.values(n),group:0,label_id:r.id,attributes:Object.keys(e[0].attributes).reduce((t,n)=>(s[n].mutable||t.push({spec_id:+n,value:e[0].attributes[n]}),t),[])},o,this.injection);this.tracks.push(c),this.objects[o]=c;for(const e of t)e.removed=!0;this.history.do(x.MERGED_OBJECTS,()=>{c.removed=!0;for(const e of t)e.removed=!1},()=>{c.removed=!1;for(const e of t)e.removed=!0},[...t.map(e=>e.clientID),c.clientID],e[0].frame)}split(e,t){y("object state",e,null,C),y("frame",t,"integer",null);const n=this.objects[e.clientID];if(void 0===n)throw new k("The object has not been saved yet. Call annotations.put([state]) before");if(e.objectType!==_.TRACK)return;const r=Object.keys(n.shapes).sort((e,t)=>+e-+t);if(t<=+r[0])return;const i=n.label.attributes.reduce((e,t)=>(e[t.id]=t,e),{}),s=n.toJSON(),a={type:e.shapeType,points:[...e.points],occluded:e.occluded,outside:e.outside,zOrder:e.zOrder,attributes:Object.keys(e.attributes).reduce((t,n)=>(i[n].mutable||t.push({spec_id:+n,value:e.attributes[n]}),t),[]),frame:t},o={frame:s.frame,group:0,label_id:s.label_id,attributes:s.attributes,shapes:[]},c=JSON.parse(JSON.stringify(o));c.frame=t,c.shapes.push(JSON.parse(JSON.stringify(a))),s.shapes.map(e=>(delete e.id,e.frame<t?o.shapes.push(JSON.parse(JSON.stringify(e))):e.frame>t&&c.shapes.push(JSON.parse(JSON.stringify(e))),e)),o.shapes.push(a),o.shapes[o.shapes.length-1].outside=!0;let u=++this.count;const l=T(o,u,this.injection);this.tracks.push(l),this.objects[u]=l,u=++this.count;const h=T(c,u,this.injection);this.tracks.push(h),this.objects[u]=h,n.removed=!0,this.history.do(x.SPLITTED_TRACK,()=>{n.removed=!1,l.removed=!0,h.removed=!0},()=>{n.removed=!0,l.removed=!1,h.removed=!1},[n.clientID,l.clientID,h.clientID],t)}group(e,t){y("shapes for group",e,null,Array);const n=e.map(e=>{y("object state",e,null,C);const t=this.objects[e.clientID];if(void 0===t)throw new k("The object has not been saved yet. Call annotations.put([state]) before");return t}),r=t?0:++this.groups.max,i=n.map(e=>e.group);for(const e of n)e.group=r;const s=n.map(e=>e.group);return this.history.do(x.GROUPED_OBJECTS,()=>{n.forEach((e,t)=>{e.group=i[t]})},()=>{n.forEach((e,t)=>{e.group=s[t]})},n.map(e=>e.clientID),e[0].frame),r}clear(){this.shapes={},this.tags={},this.tracks=[],this.objects={},this.count=0,this.flush=!0}statistics(){const e={},t={rectangle:{shape:0,track:0},polygon:{shape:0,track:0},polyline:{shape:0,track:0},points:{shape:0,track:0},cuboid:{shape:0,track:0},tags:0,manually:0,interpolated:0,total:0},n=JSON.parse(JSON.stringify(t));for(const n of Object.values(this.labels)){const{name:r}=n;e[r]=JSON.parse(JSON.stringify(t))}for(const t of Object.values(this.objects)){if(t.removed)continue;let n=null;if(t instanceof f)n="shape";else if(t instanceof p)n="track";else{if(!(t instanceof d))throw new S(`Unexpected object type: "${n}"`);n="tag"}const r=t.label.name;if("tag"===n)e[r].tags++,e[r].manually++,e[r].total++;else{const{shapeType:i}=t;if(e[r][i][n]++,"track"===n){const n=Object.keys(t.shapes).sort((e,t)=>+e-+t).map(e=>+e);let i=n[0],s=!1;for(const a of n){if(s){const t=a-i-1;e[r].interpolated+=t,e[r].total+=t}s=!t.shapes[a].outside,i=a,s&&(e[r].manually++,e[r].total++)}const a=n[n.length-1];if(a!==this.stopFrame&&!t.shapes[a].outside){const t=this.stopFrame-a;e[r].interpolated+=t,e[r].total+=t}}else e[r].manually++,e[r].total++}}for(const t of Object.keys(e))for(const r of Object.keys(e[t]))if("object"==typeof e[t][r])for(const i of Object.keys(e[t][r]))n[r][i]+=e[t][r][i];else n[r]+=e[t][r];return new g(e,n)}put(e){y("shapes for put",e,null,Array);const t={shapes:[],tracks:[],tags:[]};function n(e,t){const n=+t,r=this.attributes[t];return y("attribute id",n,"integer",null),y("attribute value",r,"string",null),e.push({spec_id:n,value:r}),e}for(const r of e){y("object state",r,null,C),y("state client ID",r.clientID,"undefined",null),y("state frame",r.frame,"integer",null),y("state attributes",r.attributes,null,Object),y("state label",r.label,null,v);const e=Object.keys(r.attributes).reduce(n.bind(r),[]),i=r.label.attributes.reduce((e,t)=>(e[t.id]=t,e),{});if("tag"===r.objectType)t.tags.push({attributes:e,frame:r.frame,label_id:r.label.id,group:0});else{y("state occluded",r.occluded,"boolean",null),y("state points",r.points,null,Array),y("state zOrder",r.zOrder,"integer",null);for(const e of r.points)y("point coordinate",e,"number",null);if(!Object.values(O).includes(r.shapeType))throw new k("Object shape must be one of: "+`${JSON.stringify(Object.values(O))}`);if("shape"===r.objectType)t.shapes.push({attributes:e,frame:r.frame,group:0,label_id:r.label.id,occluded:r.occluded||!1,points:[...r.points],type:r.shapeType,z_order:r.zOrder});else{if("track"!==r.objectType)throw new k("Object type must be one of: "+`${JSON.stringify(Object.values(_))}`);t.tracks.push({attributes:e.filter(e=>!i[e.spec_id].mutable),frame:r.frame,group:0,label_id:r.label.id,shapes:[{attributes:e.filter(e=>i[e.spec_id].mutable),frame:r.frame,occluded:r.occluded||!1,outside:!1,points:[...r.points],type:r.shapeType,z_order:r.zOrder}]})}}}const r=this.import(t),i=r.tags.concat(r.tracks).concat(r.shapes);return this.history.do(x.CREATED_OBJECTS,()=>{i.forEach(e=>{e.removed=!0})},()=>{i.forEach(e=>{e.removed=!1})},i.map(e=>e.clientID),e[0].frame),i.map(e=>e.clientID)}select(e,t,n){y("shapes for select",e,null,Array),y("x coordinate",t,"number",null),y("y coordinate",n,"number",null);let r=null,i=null;for(const s of e){if(y("object state",s,null,C),s.outside||s.hidden||s.objectType===_.TAG)continue;const e=this.objects[s.clientID];if(void 0===e)throw new k("The object has not been saved yet. Call annotations.put([state]) before");const a=e.constructor.distance(s.points,t,n);null!==a&&(null===r||a<r)&&(r=a,i=s)}return{state:i,distance:r}}search(e,t,n){const[r,i]=this.annotationsFilter.toJSONQuery(e),s=Math.sign(n-t),a=r.flat(Number.MAX_SAFE_INTEGER).some(e=>e.match(/^width/)||e.match(/^height/)),o=(e,t)=>{let[n,r]=[e,t];for(;1!==Math.abs(n-r);){const e=r+Math.floor((n-r)/2),t=this.tracks.map(t=>t.get(e));this.annotationsFilter.filter(t,i).length?r=e:n=e}return r},c={},u=s>0?e=>e<=n:e=>e>=n,l=s>0?e=>e+1:e=>e-1;for(let e=t;u(e);e=l(e)){const r=[].concat((e in this.shapes?this.shapes[e]:[]).filter(e=>!e.removed).map(t=>t.get(e)),(e in this.tags?this.tags[e]:[]).filter(e=>!e.removed).map(t=>t.get(e))),u=Object.values(this.tracks).filter(r=>e in r.shapes||e===t||e===n).filter(e=>!e.removed);if(r.push(...u.map(t=>t.get(e)).filter(e=>!e.outside)),!r.length)continue;const l=this.annotationsFilter.filter(r,i);let h=!1;if(a)for(const t of u){l.includes(t.clientID)?c[t.clientID]&&!1===c[t.clientID][0]&&(h=!0):c[t.clientID]=[l.includes(t.clientID),e]}if(h){return o((s>0?Math.min:Math.max)(...Object.values(c).map(e=>e[1])),e)}if(l.length)return e}return null}}})()},function(e,t,n){(()=>{const t=n(13),{checkObjectType:r}=n(9),{colors:i,ObjectShape:s,ObjectType:a,AttributeType:o,HistoryActions:c}=n(2),{DataError:u,ArgumentError:l,ScriptingError:h}=n(0),{Label:p}=n(8);function f(e,n){const r=new t(n);return r.__internal={save:this.save.bind(this,e,r),delete:this.delete.bind(this)},r}function d(e,t){if(e===s.RECTANGLE){if(t.length/2!=2)throw new u(`Rectangle must have 2 points, but got ${t.length/2}`)}else if(e===s.POLYGON){if(t.length/2<3)throw new u(`Polygon must have at least 3 points, but got ${t.length/2}`)}else if(e===s.POLYLINE){if(t.length/2<2)throw new u(`Polyline must have at least 2 points, but got ${t.length/2}`)}else if(e===s.POINTS){if(t.length/2<1)throw new u(`Points must have at least 1 points, but got ${t.length/2}`)}else{if(e!==s.CUBOID)throw new l(`Unknown value of shapeType has been recieved ${e}`);if(t.length/2!=8)throw new u(`Points must have exact 8 points, but got ${t.length/2}`)}}function m(e,t){const{values:n}=t,r=t.inputType;if("string"!=typeof e)throw new l(`Attribute value is expected to be string, but got ${typeof e}`);return r===o.NUMBER?+e>=+n[0]&&+e<=+n[1]&&!((+e-+n[0])%+n[2]):r===o.CHECKBOX?["true","false"].includes(e.toLowerCase()):r===o.TEXT||n.includes(e)}class b{constructor(e,t,n,r){this.taskLabels=r.labels,this.history=r.history,this.groupColors=r.groupColors,this.clientID=t,this.serverID=e.id,this.group=e.group,this.label=this.taskLabels[e.label_id],this.frame=e.frame,this.removed=!1,this.lock=!1,this.color=n,this.updated=Date.now(),this.attributes=e.attributes.reduce((e,t)=>(e[t.spec_id]=t.value,e),{}),this.groupObject=Object.defineProperties({},{color:{get:()=>this.group?this.groupColors[this.group]||i[this.group%i.length]:"#E0E0E0",set:e=>{this.group&&"string"==typeof e&&/^#[0-9A-F]{6}$/i.test(e)&&(this.groupColors[this.group]=e)}},id:{get:()=>this.group}}),this.appendDefaultAttributes(this.label),r.groups.max=Math.max(r.groups.max,this.group)}_saveLock(e,t){const n=this.lock,r=e;this.history.do(c.CHANGED_LOCK,()=>{this.lock=n,this.updated=Date.now()},()=>{this.lock=r,this.updated=Date.now()},[this.clientID],t),this.lock=e}_saveColor(e,t){const n=this.color,r=e;this.history.do(c.CHANGED_COLOR,()=>{this.color=n,this.updated=Date.now()},()=>{this.color=r,this.updated=Date.now()},[this.clientID],t),this.color=e}_saveHidden(e,t){const n=this.hidden,r=e;this.history.do(c.CHANGED_HIDDEN,()=>{this.hidden=n,this.updated=Date.now()},()=>{this.hidden=r,this.updated=Date.now()},[this.clientID],t),this.hidden=e}_saveLabel(e,t){const n=this.label,r=e,i={...this.attributes};this.label=e,this.attributes={},this.appendDefaultAttributes(e);const s={...this.attributes};this.history.do(c.CHANGED_LABEL,()=>{this.label=n,this.attributes=i,this.updated=Date.now()},()=>{this.label=r,this.attributes=s,this.updated=Date.now()},[this.clientID],t)}_saveAttributes(e,t){const n={...this.attributes};for(const t of Object.keys(e))this.attributes[t]=e[t];const r={...this.attributes};this.history.do(c.CHANGED_ATTRIBUTES,()=>{this.attributes=n,this.updated=Date.now()},()=>{this.attributes=r,this.updated=Date.now()},[this.clientID],t)}_validateStateBeforeSave(e,t,n){let i=[];n.label&&r("label",t.label,null,p);const a=t.label.attributes.reduce((e,t)=>(e[t.id]=t,e),{});if(n.attributes)for(const e of Object.keys(t.attributes)){const n=t.attributes[e];if(!(e in a))throw new l(`The label of the shape doesn't have the attribute with id ${e} and value ${n}`);if(!m(n,a[e]))throw new l(`Trying to save an attribute attribute with id ${e} and invalid value ${n}`)}if(n.points){r("points",t.points,null,Array),d(this.shapeType,t.points);const{width:n,height:a}=this.frameMeta[e];i=function(e,t,n,i){const a=[];for(let e=0;e<t.length-1;e+=2){const s=t[e],o=t[e+1];r("coordinate",s,"number",null),r("coordinate",o,"number",null),a.push(Math.clamp(s,0,n),Math.clamp(o,0,i))}return e===s.CUBOID?t:a}(this.shapeType,t.points,n,a),function(e,t){if(e===s.POINTS)return!0;let n=Number.MAX_SAFE_INTEGER,r=Number.MIN_SAFE_INTEGER,i=Number.MAX_SAFE_INTEGER,a=Number.MIN_SAFE_INTEGER;for(let e=0;e<t.length-1;e+=2)n=Math.min(n,t[e]),r=Math.max(r,t[e]),i=Math.min(i,t[e+1]),a=Math.max(a,t[e+1]);if(e===s.POLYLINE){return Math.max(r-n,a-i)>=3}return(r-n)*(a-i)>=9}(this.shapeType,i)&&!function(e,t,n){let r=!1;for(let i=0;i<e.length-1;i+=2){const[s,a]=e.slice(i);r=r||s>=0&&s<=t&&a>=0&&a<=n}return!r}(i,n,a)||(i=[])}if(n.occluded&&r("occluded",t.occluded,"boolean",null),n.outside&&r("outside",t.outside,"boolean",null),n.zOrder&&r("zOrder",t.zOrder,"integer",null),n.lock&&r("lock",t.lock,"boolean",null),n.pinned&&r("pinned",t.pinned,"boolean",null),n.color&&(r("color",t.color,"string",null),!/^#[0-9A-F]{6}$/i.test(t.color)))throw new l(`Got invalid color value: "${t.color}"`);if(n.hidden&&r("hidden",t.hidden,"boolean",null),n.keyframe&&(r("keyframe",t.keyframe,"boolean",null),!this.shapes||1===Object.keys(this.shapes).length&&!t.keyframe))throw new l("Can not remove the latest keyframe of an object. Consider removing the object instead");return i}appendDefaultAttributes(e){const t=e.attributes;for(const e of t)e.id in this.attributes||(this.attributes[e.id]=e.defaultValue)}updateTimestamp(e){(e.label||e.attributes||e.points||e.outside||e.occluded||e.keyframe||e.zOrder||e.hidden||e.lock||e.pinned)&&(this.updated=Date.now())}delete(e,t){return this.lock&&!t||(this.removed=!0,this.history.do(c.REMOVED_OBJECT,()=>{this.serverID=void 0,this.removed=!1,this.updated=Date.now()},()=>{this.removed=!0,this.updated=Date.now()},[this.clientID],e)),this.removed}}class y extends b{constructor(e,t,n,r){super(e,t,n,r),this.frameMeta=r.frameMeta,this.hidden=!1,this.pinned=!0,this.shapeType=null}_savePinned(e,t){const n=this.pinned,r=e;this.history.do(c.CHANGED_PINNED,()=>{this.pinned=n,this.updated=Date.now()},()=>{this.pinned=r,this.updated=Date.now()},[this.clientID],t),this.pinned=e}save(){throw new h("Is not implemented")}get(){throw new h("Is not implemented")}toJSON(){throw new h("Is not implemented")}}class g extends y{constructor(e,t,n,r){super(e,t,n,r),this.points=e.points,this.occluded=e.occluded,this.zOrder=e.z_order}toJSON(){return{type:this.shapeType,clientID:this.clientID,occluded:this.occluded,z_order:this.zOrder,points:[...this.points],attributes:Object.keys(this.attributes).reduce((e,t)=>(e.push({spec_id:t,value:this.attributes[t]}),e),[]),id:this.serverID,frame:this.frame,label_id:this.label.id,group:this.group}}get(e){if(e!==this.frame)throw new h("Got frame is not equal to the frame of the shape");return{objectType:a.SHAPE,shapeType:this.shapeType,clientID:this.clientID,serverID:this.serverID,occluded:this.occluded,lock:this.lock,zOrder:this.zOrder,points:[...this.points],attributes:{...this.attributes},label:this.label,group:this.groupObject,color:this.color,hidden:this.hidden,updated:this.updated,pinned:this.pinned,frame:e}}_savePoints(e,t){const n=this.points,r=e;this.history.do(c.CHANGED_POINTS,()=>{this.points=n,this.updated=Date.now()},()=>{this.points=r,this.updated=Date.now()},[this.clientID],t),this.points=e}_saveOccluded(e,t){const n=this.occluded,r=e;this.history.do(c.CHANGED_OCCLUDED,()=>{this.occluded=n,this.updated=Date.now()},()=>{this.occluded=r,this.updated=Date.now()},[this.clientID],t),this.occluded=e}_saveZOrder(e,t){const n=this.zOrder,r=e;this.history.do(c.CHANGED_ZORDER,()=>{this.zOrder=n,this.updated=Date.now()},()=>{this.zOrder=r,this.updated=Date.now()},[this.clientID],t),this.zOrder=e}save(e,t){if(e!==this.frame)throw new h("Got frame is not equal to the frame of the shape");if(this.lock&&t.lock)return f.call(this,e,this.get(e));const n=t.updateFlags,r=this._validateStateBeforeSave(e,t,n);return n.label&&this._saveLabel(t.label,e),n.attributes&&this._saveAttributes(t.attributes,e),n.points&&r.length&&this._savePoints(r,e),n.occluded&&this._saveOccluded(t.occluded,e),n.zOrder&&this._saveZOrder(t.zOrder,e),n.lock&&this._saveLock(t.lock,e),n.pinned&&this._savePinned(t.pinned,e),n.color&&this._saveColor(t.color,e),n.hidden&&this._saveHidden(t.hidden,e),this.updateTimestamp(n),n.reset(),f.call(this,e,this.get(e))}}class v extends y{constructor(e,t,n,r){super(e,t,n,r),this.shapes=e.shapes.reduce((e,t)=>(e[t.frame]={serverID:t.id,occluded:t.occluded,zOrder:t.z_order,points:t.points,outside:t.outside,attributes:t.attributes.reduce((e,t)=>(e[t.spec_id]=t.value,e),{})},e),{})}toJSON(){const e=this.label.attributes.reduce((e,t)=>(e[t.id]=t,e),{});return{clientID:this.clientID,id:this.serverID,frame:this.frame,label_id:this.label.id,group:this.group,attributes:Object.keys(this.attributes).reduce((t,n)=>(e[n].mutable||t.push({spec_id:n,value:this.attributes[n]}),t),[]),shapes:Object.keys(this.shapes).reduce((t,n)=>(t.push({type:this.shapeType,occluded:this.shapes[n].occluded,z_order:this.shapes[n].zOrder,points:[...this.shapes[n].points],outside:this.shapes[n].outside,attributes:Object.keys(this.shapes[n].attributes).reduce((t,r)=>(e[r].mutable&&t.push({spec_id:r,value:this.shapes[n].attributes[r]}),t),[]),id:this.shapes[n].serverID,frame:+n}),t),[])}}get(e){const{prev:t,next:n,first:r,last:i}=this.boundedKeyframes(e);return{...this.getPosition(e,t,n),attributes:this.getAttributes(e),group:this.groupObject,objectType:a.TRACK,shapeType:this.shapeType,clientID:this.clientID,serverID:this.serverID,lock:this.lock,color:this.color,hidden:this.hidden,updated:this.updated,label:this.label,pinned:this.pinned,keyframes:{prev:t,next:n,first:r,last:i},frame:e}}boundedKeyframes(e){const t=Object.keys(this.shapes).map(e=>+e);let n=Number.MAX_SAFE_INTEGER,r=Number.MAX_SAFE_INTEGER,i=Number.MAX_SAFE_INTEGER,s=Number.MIN_SAFE_INTEGER;for(const a of t){a<i&&(i=a),a>s&&(s=a);const t=Math.abs(e-a);a<e&&t<n?n=t:a>e&&t<r&&(r=t)}return{prev:n===Number.MAX_SAFE_INTEGER?null:e-n,next:r===Number.MAX_SAFE_INTEGER?null:e+r,first:i,last:s}}getAttributes(e){const t={};for(const e in this.attributes)Object.prototype.hasOwnProperty.call(this.attributes,e)&&(t[e]=this.attributes[e]);const n=Object.keys(this.shapes).sort((e,t)=>+e-+t);for(const r of n)if(r<=e){const{attributes:e}=this.shapes[r];for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n])}return t}_saveLabel(e,t){const n=this.label,r=e,i={unmutable:{...this.attributes},mutable:Object.keys(this.shapes).map(e=>({frame:+e,attributes:{...this.shapes[e].attributes}}))};this.label=e,this.attributes={};for(const e of Object.values(this.shapes))e.attributes={};this.appendDefaultAttributes(e);const s={unmutable:{...this.attributes},mutable:Object.keys(this.shapes).map(e=>({frame:+e,attributes:{...this.shapes[e].attributes}}))};this.history.do(c.CHANGED_LABEL,()=>{this.label=n,this.attributes=i.unmutable;for(const e of i.mutable)this.shapes[e.frame].attributes=e.attributes;this.updated=Date.now()},()=>{this.label=r,this.attributes=s.unmutable;for(const e of s.mutable)this.shapes[e.frame].attributes=e.attributes;this.updated=Date.now()},[this.clientID],t)}_saveAttributes(e,t){const n=this.get(t),r=this.label.attributes.reduce((e,t)=>(e[t.id]=t,e),{}),i=t in this.shapes,s=this.attributes,a=i?this.shapes[t]:void 0;let o=!1;const u={...this.attributes};for(const i of Object.keys(e))r[i].mutable?e[i]!==n.attributes[i]&&(o=o||!(t in this.shapes)||!(i in this.shapes[t].attributes)||this.shapes[t].attributes[i]!==e[i]):u[i]=e[i];let l;o&&(l=i?{...this.shapes[t],attributes:{...this.shapes[t].attributes}}:{frame:t,zOrder:n.zOrder,points:n.points,outside:n.outside,occluded:n.occluded,attributes:{}});for(const t of Object.keys(e))r[t].mutable&&e[t]!==n.attributes[t]&&(l.attributes[t]=e[t]);this.attributes=u,l&&(this.shapes[t]=l),this.history.do(c.CHANGED_ATTRIBUTES,()=>{this.attributes=s,a?this.shapes[t]=a:l&&delete this.shapes[t],this.updated=Date.now()},()=>{this.attributes=u,l&&(this.shapes[t]=l),this.updated=Date.now()},[this.clientID],t)}_appendShapeActionToHistory(e,t,n,r){this.history.do(e,()=>{n?this.shapes[t]=n:delete this.shapes[t],this.updated=Date.now()},()=>{r?this.shapes[t]=r:delete this.shapes[t],this.updated=Date.now()},[this.clientID],t)}_savePoints(e,t){const n=this.get(t),r=t in this.shapes,i=r?this.shapes[t]:void 0,s=r?{...this.shapes[t],points:e}:{frame:t,points:e,zOrder:n.zOrder,outside:n.outside,occluded:n.occluded,attributes:{}};this.shapes[t]=s,this._appendShapeActionToHistory(c.CHANGED_POINTS,t,i,s)}_saveOutside(e,t){const n=this.get(e),r=e in this.shapes,i=r?this.shapes[e]:void 0,s=r?{...this.shapes[e],outside:t}:{frame:e,outside:t,zOrder:n.zOrder,points:n.points,occluded:n.occluded,attributes:{}};this.shapes[e]=s,this._appendShapeActionToHistory(c.CHANGED_OUTSIDE,e,i,s)}_saveOccluded(e,t){const n=this.get(t),r=t in this.shapes,i=r?this.shapes[t]:void 0,s=r?{...this.shapes[t],occluded:e}:{frame:t,occluded:e,zOrder:n.zOrder,points:n.points,outside:n.outside,attributes:{}};this.shapes[t]=s,this._appendShapeActionToHistory(c.CHANGED_OCCLUDED,t,i,s)}_saveZOrder(e,t){const n=this.get(t),r=t in this.shapes,i=r?this.shapes[t]:void 0,s=r?{...this.shapes[t],zOrder:e}:{frame:t,zOrder:e,occluded:n.occluded,points:n.points,outside:n.outside,attributes:{}};this.shapes[t]=s,this._appendShapeActionToHistory(c.CHANGED_ZORDER,t,i,s)}_saveKeyframe(e,t){const n=this.get(e),r=e in this.shapes;if(t&&r||!t&&!r)return;const i=r?this.shapes[e]:void 0,s=t?{frame:e,zOrder:n.zOrder,points:n.points,outside:n.outside,occluded:n.occluded,attributes:{}}:void 0;s?this.shapes[e]=s:delete this.shapes[e],this._appendShapeActionToHistory(c.CHANGED_KEYFRAME,e,i,s)}save(e,t){if(this.lock&&t.lock)return f.call(this,e,this.get(e));const n=t.updateFlags,r=this._validateStateBeforeSave(e,t,n);return n.label&&this._saveLabel(t.label,e),n.lock&&this._saveLock(t.lock,e),n.pinned&&this._savePinned(t.pinned,e),n.color&&this._saveColor(t.color,e),n.hidden&&this._saveHidden(t.hidden,e),n.points&&r.length&&this._savePoints(r,e),n.outside&&this._saveOutside(e,t.outside),n.occluded&&this._saveOccluded(t.occluded,e),n.zOrder&&this._saveZOrder(t.zOrder,e),n.attributes&&this._saveAttributes(t.attributes,e),n.keyframe&&this._saveKeyframe(e,t.keyframe),this.updateTimestamp(n),n.reset(),f.call(this,e,this.get(e))}getPosition(e,t,n){const r=e in this.shapes?e:t,i=Number.isInteger(n)?this.shapes[n]:null,s=Number.isInteger(r)?this.shapes[r]:null;if(s&&i)return{...this.interpolatePosition(s,i,(e-r)/(n-r)),keyframe:e in this.shapes};if(s)return{points:[...s.points],occluded:s.occluded,outside:s.outside,zOrder:s.zOrder,keyframe:e in this.shapes};if(i)return{points:[...i.points],occluded:i.occluded,outside:!0,zOrder:i.zOrder,keyframe:e in this.shapes};throw new u("No one left position or right position was found. "+`Interpolation impossible. Client ID: ${this.clientID}`)}}class w extends g{constructor(e,t,n,r){super(e,t,n,r),this.shapeType=s.RECTANGLE,this.pinned=!1,d(this.shapeType,this.points)}static distance(e,t,n){const[r,i,s,a]=e;return t>=r&&t<=s&&n>=i&&n<=a?Math.min.apply(null,[t-r,n-i,s-t,a-n]):null}}class k extends g{constructor(e,t,n,r){super(e,t,n,r)}}class S extends k{constructor(e,t,n,r){super(e,t,n,r),this.shapeType=s.POLYGON,d(this.shapeType,this.points)}static distance(e,t,n){function r(e,r,i,s){return(i-e)*(n-r)-(t-e)*(s-r)}let i=0;const s=[];for(let a=0,o=e.length-2;a<e.length-1;o=a,a+=2){const c=e[o],u=e[o+1],l=e[a],h=e[a+1];u<=n?h>n&&r(c,u,l,h)>0&&i++:h<=n&&r(c,u,l,h)<0&&i--;const p=t-(u-h),f=n-(l-c);(p-c)*(l-p)>=0&&(f-u)*(h-f)>=0?s.push(Math.sqrt(Math.pow(t-p,2)+Math.pow(n-f,2))):s.push(Math.min(Math.sqrt(Math.pow(c-t,2)+Math.pow(u-n,2)),Math.sqrt(Math.pow(l-t,2)+Math.pow(h-n,2))))}return 0!==i?Math.min.apply(null,s):null}}class x extends k{constructor(e,t,n,r){super(e,t,n,r),this.shapeType=s.POLYLINE,d(this.shapeType,this.points)}static distance(e,t,n){const r=[];for(let i=0;i<e.length-2;i+=2){const s=e[i],a=e[i+1],o=e[i+2],c=e[i+3];(t-s)*(o-t)>=0&&(n-a)*(c-n)>=0?r.push(Math.abs((c-a)*t-(o-s)*n+o*a-c*s)/Math.sqrt(Math.pow(c-a,2)+Math.pow(o-s,2))):r.push(Math.min(Math.sqrt(Math.pow(s-t,2)+Math.pow(a-n,2)),Math.sqrt(Math.pow(o-t,2)+Math.pow(c-n,2))))}return Math.min.apply(null,r)}}class O extends k{constructor(e,t,n,r){super(e,t,n,r),this.shapeType=s.POINTS,d(this.shapeType,this.points)}static distance(e,t,n){const r=[];for(let i=0;i<e.length;i+=2){const s=e[i],a=e[i+1];r.push(Math.sqrt(Math.pow(s-t,2)+Math.pow(a-n,2)))}return Math.min.apply(null,r)}}class _ extends k{constructor(e,t,n,r){super(e,t,n,r),this.shapeType=s.CUBOID,this.pinned=!1,d(this.shapeType,this.points)}static makeHull(e){const t=e.slice();return t.sort((function(e,t){return e.x<t.x?-1:e.x>t.x?1:e.y<t.y?-1:e.y>t.y?1:0})),function(e){if(e.length<=1)return e.slice();const t=[];for(let n=0;n<e.length;n+=1){const r=e[`${n}`];for(;t.length>=2;){const e=t[t.length-1],n=t[t.length-2];if(!((e.x-n.x)*(r.y-n.y)>=(e.y-n.y)*(r.x-n.x)))break;t.pop()}t.push(r)}t.pop();const n=[];for(let t=e.length-1;t>=0;t-=1){const r=e[`${t}`];for(;n.length>=2;){const e=n[n.length-1],t=n[n.length-2];if(!((e.x-t.x)*(r.y-t.y)>=(e.y-t.y)*(r.x-t.x)))break;n.pop()}n.push(r)}return n.pop(),1===t.length&&1===n.length&&t[0].x===n[0].x&&t[0].y===n[0].y?t:t.concat(n)}(t)}static contain(e,t,n){function r(e,t,n){return(t.x-e.x)*(n.y-e.y)-(n.x-e.x)*(t.y-e.y)}e=_.makeHull(e);let i=0;for(let s=0;s<e.length;s+=1){const a=e[`${s}`],o=e[s+1]||e[0];a.y<=n?o.y>n&&r(a,o,{x:t,y:n})>0&&(i+=1):o.y<n&&r(a,o,{x:t,y:n})<0&&(i-=1)}return 0!==i}static distance(e,t,n){const r=[];for(let t=0;t<16;t+=2)r.push({x:e[t],y:e[t+1]});if(!_.contain(r,t,n))return null;let i=Number.MAX_SAFE_INTEGER;for(let e=0;e<r.length;e+=1){const s=r[`${e}`],a=r[e+1]||r[0],o=Math.abs((a.y-s.y)*t-(a.x-s.x)*n+a.x*s.y-a.y*s.x)/Math.sqrt(Math.pow(a.y-s.y,2)+Math.pow(a.x-s.x,2)),c=Math.pow(s.x-t,2)+Math.pow(s.y-n,2),u=Math.pow(a.x-s.x,2)+Math.pow(a.y-s.y,2),l=Math.pow(a.x-t,2)+Math.pow(a.y-n,2);o<i&&c+u-l>=0&&l+u-c>=0&&(i=o)}return i}}class E extends v{constructor(e,t,n,r){super(e,t,n,r),this.shapeType=s.RECTANGLE,this.pinned=!1;for(const e of Object.values(this.shapes))d(this.shapeType,e.points)}interpolatePosition(e,t,n){const r=e.points.map((e,n)=>t.points[n]-e);return{points:e.points.map((e,t)=>e+r[t]*n),occluded:e.occluded,outside:e.outside,zOrder:e.zOrder}}}class C extends v{constructor(e,t,n,r){super(e,t,n,r)}interpolatePosition(e,t,n){function r(e){let t=Number.MAX_SAFE_INTEGER,n=Number.MAX_SAFE_INTEGER,r=Number.MIN_SAFE_INTEGER,i=Number.MIN_SAFE_INTEGER;for(let s=0;s<e.length;s+=2)e[s]<t&&(t=e[s]),e[s+1]<n&&(n=e[s+1]),e[s]>r&&(r=e[s]),e[s+1]>i&&(i=e[s+1]);return{xmin:t,ymin:n,xmax:r,ymax:i}}function i(e,t){const n=[],r=t.xmax-t.xmin,i=t.ymax-t.ymin;for(let s=0;s<e.length;s+=2)n.push((e[s]-t.xmin)/r,(e[s+1]-t.ymin)/i);return n}function s(e,t){const n=[],r=t.xmax-t.xmin,i=t.ymax-t.ymin;for(let s=0;s<e.length;s+=2)n.push(e[s]*r+t.xmin,e[s+1]*i+t.ymin);return n}function a(e){const t=[];for(let n=0;n<e.length;n+=2)t.push({x:e[n],y:e[n+1]});return t}function o(e){const t=[];for(const n of e)t.push(n.x,n.y);return t}function c(e,t){function n(e){let t=0;for(let n=1;n<e.length;n+=2){t+=Math.sqrt(Math.pow(e[n].x-e[n-1].x,2)+Math.pow(e[n].y-e[n-1].y,2))}return t||Number.MAX_SAFE_INTEGER}function r(e,t){let n=0;for(let r=1;r<e.length;r+=2){const i=Math.sqrt(Math.pow(e[r].x-e[r-1].x,2)+Math.pow(e[r].y-e[r-1].y,2));n+=Math.pow(i-t,2)}return n}const i=[],s=[],a=function(e,t){const n={};for(let r=0;r<e.length;r++){n[r]=n[r]||{};for(let 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e={trace:function(){},yy:{},symbols_:{error:2,JSON_PATH:3,DOLLAR:4,PATH_COMPONENTS:5,LEADING_CHILD_MEMBER_EXPRESSION:6,PATH_COMPONENT:7,MEMBER_COMPONENT:8,SUBSCRIPT_COMPONENT:9,CHILD_MEMBER_COMPONENT:10,DESCENDANT_MEMBER_COMPONENT:11,DOT:12,MEMBER_EXPRESSION:13,DOT_DOT:14,STAR:15,IDENTIFIER:16,SCRIPT_EXPRESSION:17,INTEGER:18,END:19,CHILD_SUBSCRIPT_COMPONENT:20,DESCENDANT_SUBSCRIPT_COMPONENT:21,"[":22,SUBSCRIPT:23,"]":24,SUBSCRIPT_EXPRESSION:25,SUBSCRIPT_EXPRESSION_LIST:26,SUBSCRIPT_EXPRESSION_LISTABLE:27,",":28,STRING_LITERAL:29,ARRAY_SLICE:30,FILTER_EXPRESSION:31,QQ_STRING:32,Q_STRING:33,$accept:0,$end:1},terminals_:{2:"error",4:"DOLLAR",12:"DOT",14:"DOT_DOT",15:"STAR",16:"IDENTIFIER",17:"SCRIPT_EXPRESSION",18:"INTEGER",19:"END",22:"[",24:"]",28:",",30:"ARRAY_SLICE",31:"FILTER_EXPRESSION",32:"QQ_STRING",33:"Q_STRING"},productions_:[0,[3,1],[3,2],[3,1],[3,2],[5,1],[5,2],[7,1],[7,1],[8,1],[8,1],[10,2],[6,1],[11,2],[13,1],[13,1],[13,1],[13,1],[13,1],[9,1],[9,1],[20,3],[21,4],[23,1],[23,1],[26,1],[26,3],[27,1],[27,1],[27,1],[25,1],[25,1],[25,1],[29,1],[29,1]],performAction:function(e,n,r,i,s,a,o){i.ast||(i.ast=t,t.initialize());var 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34:this.$=a[c]}},table:[{3:1,4:[1,2],6:3,13:4,15:[1,5],16:[1,6],17:[1,7],18:[1,8],19:[1,9]},{1:[3]},{1:[2,1],5:10,7:11,8:12,9:13,10:14,11:15,12:[1,18],14:[1,19],20:16,21:17,22:[1,20]},{1:[2,3],5:21,7:11,8:12,9:13,10:14,11:15,12:[1,18],14:[1,19],20:16,21:17,22:[1,20]},{1:[2,12],12:[2,12],14:[2,12],22:[2,12]},{1:[2,14],12:[2,14],14:[2,14],22:[2,14]},{1:[2,15],12:[2,15],14:[2,15],22:[2,15]},{1:[2,16],12:[2,16],14:[2,16],22:[2,16]},{1:[2,17],12:[2,17],14:[2,17],22:[2,17]},{1:[2,18],12:[2,18],14:[2,18],22:[2,18]},{1:[2,2],7:22,8:12,9:13,10:14,11:15,12:[1,18],14:[1,19],20:16,21:17,22:[1,20]},{1:[2,5],12:[2,5],14:[2,5],22:[2,5]},{1:[2,7],12:[2,7],14:[2,7],22:[2,7]},{1:[2,8],12:[2,8],14:[2,8],22:[2,8]},{1:[2,9],12:[2,9],14:[2,9],22:[2,9]},{1:[2,10],12:[2,10],14:[2,10],22:[2,10]},{1:[2,19],12:[2,19],14:[2,19],22:[2,19]},{1:[2,20],12:[2,20],14:[2,20],22:[2,20]},{13:23,15:[1,5],16:[1,6],17:[1,7],18:[1,8],19:[1,9]},{13:24,15:[1,5],16:[1,6],17:[1,7],18:[1,8],19:[1,9],22:[1,25]},{15:[1,29],17:[1,30],18:[1,33],23:26,25:27,26:28,27:32,29:34,30:[1,35],31:[1,31],32:[1,36],33:[1,37]},{1:[2,4],7:22,8:12,9:13,10:14,11:15,12:[1,18],14:[1,19],20:16,21:17,22:[1,20]},{1:[2,6],12:[2,6],14:[2,6],22:[2,6]},{1:[2,11],12:[2,11],14:[2,11],22:[2,11]},{1:[2,13],12:[2,13],14:[2,13],22:[2,13]},{15:[1,29],17:[1,30],18:[1,33],23:38,25:27,26:28,27:32,29:34,30:[1,35],31:[1,31],32:[1,36],33:[1,37]},{24:[1,39]},{24:[2,23]},{24:[2,24],28:[1,40]},{24:[2,30]},{24:[2,31]},{24:[2,32]},{24:[2,25],28:[2,25]},{24:[2,27],28:[2,27]},{24:[2,28],28:[2,28]},{24:[2,29],28:[2,29]},{24:[2,33],28:[2,33]},{24:[2,34],28:[2,34]},{24:[1,41]},{1:[2,21],12:[2,21],14:[2,21],22:[2,21]},{18:[1,33],27:42,29:34,30:[1,35],32:[1,36],33:[1,37]},{1:[2,22],12:[2,22],14:[2,22],22:[2,22]},{24:[2,26],28:[2,26]}],defaultActions:{27:[2,23],29:[2,30],30:[2,31],31:[2,32]},parseError:function(e,t){if(!t.recoverable)throw new Error(e);this.trace(e)},parse:function(e){var t=this,n=[0],r=[null],i=[],s=this.table,a="",o=0,c=0,u=0,l=2,h=1,p=i.slice.call(arguments,1);this.lexer.setInput(e),this.lexer.yy=this.yy,this.yy.lexer=this.lexer,this.yy.parser=this,void 0===this.lexer.yylloc&&(this.lexer.yylloc={});var f=this.lexer.yylloc;i.push(f);var d=this.lexer.options&&this.lexer.options.ranges;function m(){var e;return"number"!=typeof(e=t.lexer.lex()||h)&&(e=t.symbols_[e]||e),e}"function"==typeof this.yy.parseError?this.parseError=this.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var b,y,g,v,w,k,S,x,O,_={};;){if(g=n[n.length-1],this.defaultActions[g]?v=this.defaultActions[g]:(null==b&&(b=m()),v=s[g]&&s[g][b]),void 0===v||!v.length||!v[0]){var E="";for(k in O=[],s[g])this.terminals_[k]&&k>l&&O.push("'"+this.terminals_[k]+"'");E=this.lexer.showPosition?"Parse error on line "+(o+1)+":\n"+this.lexer.showPosition()+"\nExpecting "+O.join(", ")+", got '"+(this.terminals_[b]||b)+"'":"Parse 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w;S&&(n=n.slice(0,-1*S*2),r=r.slice(0,-1*S),i=i.slice(0,-1*S)),n.push(this.productions_[v[1]][0]),r.push(_.$),i.push(_._$),x=s[n[n.length-2]][n[n.length-1]],n.push(x);break;case 3:return!0}}return!0}},t={initialize:function(){this._nodes=[],this._node={},this._stash=[]},set:function(e){for(var t in e)this._node[t]=e[t];return this._node},node:function(e){return arguments.length&&(this._node=e),this._node},push:function(){this._nodes.push(this._node),this._node={}},unshift:function(){this._nodes.unshift(this._node),this._node={}},yield:function(){var e=this._nodes;return this.initialize(),e}},n={EOF:1,parseError:function(e,t){if(!this.yy.parser)throw new Error(e);this.yy.parser.parseError(e,t)},setInput:function(e){return this._input=e,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var e=this._input[0];return this.yytext+=e,this.yyleng++,this.offset++,this.match+=e,this.matched+=e,e.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),e},unput:function(e){var t=e.length,n=e.split(/(?:\r\n?|\n)/g);this._input=e+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-t-1),this.offset-=t;var r=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===r.length?this.yylloc.first_column:0)+r[r.length-n.length].length-n[0].length:this.yylloc.first_column-t},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-t]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(e){this.unput(this.match.slice(e))},pastInput:function(){var e=this.matched.substr(0,this.matched.length-this.match.length);return(e.length>20?"...":"")+e.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var e=this.match;return e.length<20&&(e+=this._input.substr(0,20-e.length)),(e.substr(0,20)+(e.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var e=this.pastInput(),t=new Array(e.length+1).join("-");return e+this.upcomingInput()+"\n"+t+"^"},test_match:function(e,t){var n,r,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),(r=e[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=r.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:r?r[r.length-1].length-r[r.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+e[0].length},this.yytext+=e[0],this.match+=e[0],this.matches=e,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(e[0].length),this.matched+=e[0],n=this.performAction.call(this,this.yy,this,t,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var s in i)this[s]=i[s];return!1}return!1},next:function(){if(this.done)return this.EOF;var e,t,n,r;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var i=this._currentRules(),s=0;s<i.length;s++)if((n=this._input.match(this.rules[i[s]]))&&(!t||n[0].length>t[0].length)){if(t=n,r=s,this.options.backtrack_lexer){if(!1!==(e=this.test_match(n,i[s])))return e;if(this._backtrack){t=!1;continue}return!1}if(!this.options.flex)break}return t?!1!==(e=this.test_match(t,i[r]))&&e:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var e=this.next();return e||this.lex()},begin:function(e){this.conditionStack.push(e)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(e){return(e=this.conditionStack.length-1-Math.abs(e||0))>=0?this.conditionStack[e]:"INITIAL"},pushState:function(e){this.begin(e)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(e,t,n,r){switch(n){case 0:return 4;case 1:return 14;case 2:return 12;case 3:return 15;case 4:return 16;case 5:return 22;case 6:return 24;case 7:return 28;case 8:return 30;case 9:return 18;case 10:return t.yytext=t.yytext.substr(1,t.yyleng-2),32;case 11:return t.yytext=t.yytext.substr(1,t.yyleng-2),33;case 12:return 17;case 13:return 31}},rules:[/^(?:\$)/,/^(?:\.\.)/,/^(?:\.)/,/^(?:\*)/,/^(?:[a-zA-Z_]+[a-zA-Z0-9_]*)/,/^(?:\[)/,/^(?:\])/,/^(?:,)/,/^(?:((-?(?:0|[1-9][0-9]*)))?\:((-?(?:0|[1-9][0-9]*)))?(\:((-?(?:0|[1-9][0-9]*)))?)?)/,/^(?:(-?(?:0|[1-9][0-9]*)))/,/^(?:"(?:\\["bfnrt/\\]|\\u[a-fA-F0-9]{4}|[^"\\])*")/,/^(?:'(?:\\['bfnrt/\\]|\\u[a-fA-F0-9]{4}|[^'\\])*')/,/^(?:\(.+?\)(?=\]))/,/^(?:\?\(.+?\)(?=\]))/],conditions:{INITIAL:{rules:[0,1,2,3,4,5,6,7,8,9,10,11,12,13],inclusive:!0}}};function r(){this.yy={}}return e.lexer=n,r.prototype=e,e.Parser=r,new r}();void 0!==e&&void 0!==n&&(n.parser=i,n.Parser=i.Parser,n.parse=function(){return i.parse.apply(i,arguments)},n.main=function(t){t[1]||(console.log("Usage: "+t[0]+" FILE"),r.exit(1));var i=e("fs").readFileSync(e("path").normalize(t[1]),"utf8");return n.parser.parse(i)},void 0!==t&&e.main===t&&n.main(r.argv.slice(1)))}).call(this,e("_process"))},{_process:14,fs:12,path:13}],2:[function(e,t,n){t.exports={identifier:"[a-zA-Z_]+[a-zA-Z0-9_]*",integer:"-?(?:0|[1-9][0-9]*)",qq_string:'"(?:\\\\["bfnrt/\\\\]|\\\\u[a-fA-F0-9]{4}|[^"\\\\])*"',q_string:"'(?:\\\\['bfnrt/\\\\]|\\\\u[a-fA-F0-9]{4}|[^'\\\\])*'"}},{}],3:[function(e,t,n){var r=e("./dict"),i=e("fs"),s={lex:{macros:{esc:"\\\\",int:r.integer},rules:[["\\$","return 'DOLLAR'"],["\\.\\.","return 'DOT_DOT'"],["\\.","return 'DOT'"],["\\*","return 'STAR'"],[r.identifier,"return 'IDENTIFIER'"],["\\[","return '['"],["\\]","return ']'"],[",","return ','"],["({int})?\\:({int})?(\\:({int})?)?","return 'ARRAY_SLICE'"],["{int}","return 'INTEGER'"],[r.qq_string,"yytext = yytext.substr(1,yyleng-2); return 'QQ_STRING';"],[r.q_string,"yytext = yytext.substr(1,yyleng-2); return 'Q_STRING';"],["\\(.+?\\)(?=\\])","return 'SCRIPT_EXPRESSION'"],["\\?\\(.+?\\)(?=\\])","return 'FILTER_EXPRESSION'"]]},start:"JSON_PATH",bnf:{JSON_PATH:[["DOLLAR",'yy.ast.set({ expression: { type: "root", value: $1 } }); yy.ast.unshift(); return yy.ast.yield()'],["DOLLAR PATH_COMPONENTS",'yy.ast.set({ expression: { type: "root", value: $1 } }); yy.ast.unshift(); return yy.ast.yield()'],["LEADING_CHILD_MEMBER_EXPRESSION","yy.ast.unshift(); return yy.ast.yield()"],["LEADING_CHILD_MEMBER_EXPRESSION PATH_COMPONENTS",'yy.ast.set({ operation: "member", scope: "child", expression: { type: "identifier", value: $1 }}); yy.ast.unshift(); return yy.ast.yield()']],PATH_COMPONENTS:[["PATH_COMPONENT",""],["PATH_COMPONENTS PATH_COMPONENT",""]],PATH_COMPONENT:[["MEMBER_COMPONENT",'yy.ast.set({ operation: "member" }); yy.ast.push()'],["SUBSCRIPT_COMPONENT",'yy.ast.set({ operation: "subscript" }); yy.ast.push() ']],MEMBER_COMPONENT:[["CHILD_MEMBER_COMPONENT",'yy.ast.set({ scope: "child" })'],["DESCENDANT_MEMBER_COMPONENT",'yy.ast.set({ scope: "descendant" })']],CHILD_MEMBER_COMPONENT:[["DOT MEMBER_EXPRESSION",""]],LEADING_CHILD_MEMBER_EXPRESSION:[["MEMBER_EXPRESSION",'yy.ast.set({ scope: "child", operation: "member" })']],DESCENDANT_MEMBER_COMPONENT:[["DOT_DOT MEMBER_EXPRESSION",""]],MEMBER_EXPRESSION:[["STAR",'yy.ast.set({ expression: { type: "wildcard", value: $1 } })'],["IDENTIFIER",'yy.ast.set({ expression: { type: "identifier", value: $1 } })'],["SCRIPT_EXPRESSION",'yy.ast.set({ expression: { type: "script_expression", value: $1 } })'],["INTEGER",'yy.ast.set({ expression: { type: "numeric_literal", value: parseInt($1) } })'],["END",""]],SUBSCRIPT_COMPONENT:[["CHILD_SUBSCRIPT_COMPONENT",'yy.ast.set({ scope: "child" })'],["DESCENDANT_SUBSCRIPT_COMPONENT",'yy.ast.set({ scope: "descendant" })']],CHILD_SUBSCRIPT_COMPONENT:[["[ SUBSCRIPT ]",""]],DESCENDANT_SUBSCRIPT_COMPONENT:[["DOT_DOT [ SUBSCRIPT ]",""]],SUBSCRIPT:[["SUBSCRIPT_EXPRESSION",""],["SUBSCRIPT_EXPRESSION_LIST",'$1.length > 1? yy.ast.set({ expression: { type: "union", value: $1 } }) : $$ = $1']],SUBSCRIPT_EXPRESSION_LIST:[["SUBSCRIPT_EXPRESSION_LISTABLE","$$ = [$1]"],["SUBSCRIPT_EXPRESSION_LIST , SUBSCRIPT_EXPRESSION_LISTABLE","$$ = $1.concat($3)"]],SUBSCRIPT_EXPRESSION_LISTABLE:[["INTEGER",'$$ = { expression: { type: "numeric_literal", value: parseInt($1) } }; yy.ast.set($$)'],["STRING_LITERAL",'$$ = { expression: { type: "string_literal", value: $1 } }; yy.ast.set($$)'],["ARRAY_SLICE",'$$ = { expression: { type: "slice", value: $1 } }; yy.ast.set($$)']],SUBSCRIPT_EXPRESSION:[["STAR",'$$ = { expression: { type: "wildcard", value: $1 } }; yy.ast.set($$)'],["SCRIPT_EXPRESSION",'$$ = { expression: { type: "script_expression", value: $1 } }; yy.ast.set($$)'],["FILTER_EXPRESSION",'$$ = { expression: { type: "filter_expression", value: $1 } }; yy.ast.set($$)']],STRING_LITERAL:[["QQ_STRING","$$ = $1"],["Q_STRING","$$ = $1"]]}};i.readFileSync&&(s.moduleInclude=i.readFileSync(e.resolve("../include/module.js")),s.actionInclude=i.readFileSync(e.resolve("../include/action.js"))),t.exports=s},{"./dict":2,fs:12}],4:[function(e,t,n){var r=e("./aesprim"),i=e("./slice"),s=e("static-eval"),a=e("underscore").uniq,o=function(){return this.initialize.apply(this,arguments)};function c(t,n,i){var s=e("./index"),a=f(r.parse(n).body[0].expression,{"@":t.value}),o=i.replace(/\{\{\s*value\s*\}\}/g,a),c=s.nodes(t.value,o);return c.forEach((function(e){e.path=t.path.concat(e.path.slice(1))})),c}function u(e){return Array.isArray(e)}function l(e){return function(t,n,r,i){var s=t.value,a=t.path,o=[],c=function(t,s){var a;u(t)?(t.forEach((function(e,t){o.length>=i||r(t,e,n)&&o.push({path:s.concat(t),value:e})})),t.forEach((function(t,n){o.length>=i||e&&c(t,s.concat(n))}))):(a=t)&&!(a instanceof Array)&&a instanceof Object&&(this.keys(t).forEach((function(e){o.length>=i||r(e,t[e],n)&&o.push({path:s.concat(e),value:t[e]})})),this.keys(t).forEach((function(n){o.length>=i||e&&c(t[n],s.concat(n))})))}.bind(this);return c(s,a),o}}function h(e){return function(t,n,r){return this.descend(n,t.expression.value,e,r)}}function p(e){return function(t,n,r){return this.traverse(n,t.expression.value,e,r)}}function f(){try{return s.apply(this,arguments)}catch(e){}}function d(e){return e=e.filter((function(e){return e})),a(e,(function(e){return e.path.map((function(e){return String(e).replace("-","--")})).join("-")}))}function m(e){var t=String(e);return t.match(/^-?[0-9]+$/)?parseInt(t):null}o.prototype.initialize=function(){this.traverse=l(!0),this.descend=l()},o.prototype.keys=Object.keys,o.prototype.resolve=function(e){var t=[e.operation,e.scope,e.expression.type].join("-"),n=this._fns[t];if(!n)throw new Error("couldn't resolve key: "+t);return n.bind(this)},o.prototype.register=function(e,t){if(!t instanceof Function)throw new Error("handler must be a function");this._fns[e]=t},o.prototype._fns={"member-child-identifier":function(e,t){var n=e.expression.value,r=t.value;if(r instanceof Object&&n in r)return[{value:r[n],path:t.path.concat(n)}]},"member-descendant-identifier":p((function(e,t,n){return e==n})),"subscript-child-numeric_literal":h((function(e,t,n){return e===n})),"member-child-numeric_literal":h((function(e,t,n){return String(e)===String(n)})),"subscript-descendant-numeric_literal":p((function(e,t,n){return e===n})),"member-child-wildcard":h((function(){return!0})),"member-descendant-wildcard":p((function(){return!0})),"subscript-descendant-wildcard":p((function(){return!0})),"subscript-child-wildcard":h((function(){return!0})),"subscript-child-slice":function(e,t){if(u(t.value)){var n=e.expression.value.split(":").map(m),r=t.value.map((function(e,n){return{value:e,path:t.path.concat(n)}}));return i.apply(null,[r].concat(n))}},"subscript-child-union":function(e,t){var n=[];return e.expression.value.forEach((function(e){var r={operation:"subscript",scope:"child",expression:e.expression},i=this.resolve(r)(r,t);i&&(n=n.concat(i))}),this),d(n)},"subscript-descendant-union":function(t,n,r){var i=e(".."),s=this,a=[];return i.nodes(n,"$..*").slice(1).forEach((function(e){a.length>=r||t.expression.value.forEach((function(t){var n={operation:"subscript",scope:"child",expression:t.expression},r=s.resolve(n)(n,e);a=a.concat(r)}))})),d(a)},"subscript-child-filter_expression":function(e,t,n){var i=e.expression.value.slice(2,-1),s=r.parse(i).body[0].expression;return this.descend(t,null,(function(e,t){return f(s,{"@":t})}),n)},"subscript-descendant-filter_expression":function(e,t,n){var i=e.expression.value.slice(2,-1),s=r.parse(i).body[0].expression;return this.traverse(t,null,(function(e,t){return f(s,{"@":t})}),n)},"subscript-child-script_expression":function(e,t){return c(t,e.expression.value.slice(1,-1),"$[{{value}}]")},"member-child-script_expression":function(e,t){return c(t,e.expression.value.slice(1,-1),"$.{{value}}")},"member-descendant-script_expression":function(e,t){return c(t,e.expression.value.slice(1,-1),"$..value")}},o.prototype._fns["subscript-child-string_literal"]=o.prototype._fns["member-child-identifier"],o.prototype._fns["member-descendant-numeric_literal"]=o.prototype._fns["subscript-descendant-string_literal"]=o.prototype._fns["member-descendant-identifier"],t.exports=o},{"..":"jsonpath","./aesprim":"./aesprim","./index":5,"./slice":7,"static-eval":15,underscore:12}],5:[function(e,t,n){var r=e("assert"),i=e("./dict"),s=e("./parser"),a=e("./handlers"),o=function(){this.initialize.apply(this,arguments)};function c(e){return"[object String]"==Object.prototype.toString.call(e)}o.prototype.initialize=function(){this.parser=new s,this.handlers=new a},o.prototype.parse=function(e){return r.ok(c(e),"we need a path"),this.parser.parse(e)},o.prototype.parent=function(e,t){r.ok(e instanceof Object,"obj needs to be an object"),r.ok(t,"we need a path");var n=this.nodes(e,t)[0];return n.path.pop(),this.value(e,n.path)},o.prototype.apply=function(e,t,n){r.ok(e instanceof Object,"obj needs to be an object"),r.ok(t,"we need a path"),r.equal(typeof n,"function","fn needs to be function");var i=this.nodes(e,t).sort((function(e,t){return t.path.length-e.path.length}));return i.forEach((function(t){var r=t.path.pop(),i=this.value(e,this.stringify(t.path)),s=t.value=n.call(e,i[r]);i[r]=s}),this),i},o.prototype.value=function(e,t,n){if(r.ok(e instanceof Object,"obj needs to be an object"),r.ok(t,"we need a path"),arguments.length>=3){var i=this.nodes(e,t).shift();if(!i)return this._vivify(e,t,n);var s=i.path.slice(-1).shift(),a=this.parent(e,this.stringify(i.path));a[s]=n}return this.query(e,this.stringify(t),1).shift()},o.prototype._vivify=function(e,t,n){var i=this;r.ok(e instanceof Object,"obj needs to be an object"),r.ok(t,"we need a path");var s=this.parser.parse(t).map((function(e){return e.expression.value})),a=function(t,n){var r=t.pop(),s=i.value(e,t);s||(a(t.concat(),"string"==typeof r?{}:[]),s=i.value(e,t)),s[r]=n};return a(s,n),this.query(e,t)[0]},o.prototype.query=function(e,t,n){return r.ok(e instanceof Object,"obj needs to be an object"),r.ok(c(t),"we need a path"),this.nodes(e,t,n).map((function(e){return e.value}))},o.prototype.paths=function(e,t,n){return r.ok(e instanceof Object,"obj needs to be an object"),r.ok(t,"we need a path"),this.nodes(e,t,n).map((function(e){return e.path}))},o.prototype.nodes=function(e,t,n){if(r.ok(e instanceof Object,"obj needs to be an object"),r.ok(t,"we need a path"),0===n)return[];var i=this.parser.parse(t),s=this.handlers,a=[{path:["$"],value:e}],o=[];return i.length&&"root"==i[0].expression.type&&i.shift(),i.length?(i.forEach((function(e,t){if(!(o.length>=n)){var r=s.resolve(e),c=[];a.forEach((function(s){if(!(o.length>=n)){var a=r(e,s,n);t==i.length-1?o=o.concat(a||[]):c=c.concat(a||[])}})),a=c}})),n?o.slice(0,n):o):a},o.prototype.stringify=function(e){r.ok(e,"we need a path");var t="$",n={"descendant-member":"..{{value}}","child-member":".{{value}}","descendant-subscript":"..[{{value}}]","child-subscript":"[{{value}}]"};return(e=this._normalize(e)).forEach((function(e){if("root"!=e.expression.type){var r,i=[e.scope,e.operation].join("-"),s=n[i];if(r="string_literal"==e.expression.type?JSON.stringify(e.expression.value):e.expression.value,!s)throw new Error("couldn't find template "+i);t+=s.replace(/{{value}}/,r)}})),t},o.prototype._normalize=function(e){if(r.ok(e,"we need a path"),"string"==typeof e)return this.parser.parse(e);if(Array.isArray(e)&&"string"==typeof e[0]){var t=[{expression:{type:"root",value:"$"}}];return e.forEach((function(e,n){if("$"!=e||0!==n)if("string"==typeof e&&e.match("^"+i.identifier+"$"))t.push({operation:"member",scope:"child",expression:{value:e,type:"identifier"}});else{var r="number"==typeof e?"numeric_literal":"string_literal";t.push({operation:"subscript",scope:"child",expression:{value:e,type:r}})}})),t}if(Array.isArray(e)&&"object"==typeof e[0])return e;throw new Error("couldn't understand path "+e)},o.Handlers=a,o.Parser=s;var u=new o;u.JSONPath=o,t.exports=u},{"./dict":2,"./handlers":4,"./parser":6,assert:8}],6:[function(e,t,n){var r=e("./grammar"),i=e("../generated/parser"),s=function(){var e=new i.Parser,t=e.parseError;return e.yy.parseError=function(){e.yy.ast&&e.yy.ast.initialize(),t.apply(e,arguments)},e};s.grammar=r,t.exports=s},{"../generated/parser":1,"./grammar":3}],7:[function(e,t,n){function r(e){return String(e).match(/^[0-9]+$/)?parseInt(e):Number.isFinite(e)?parseInt(e,10):0}t.exports=function(e,t,n,i){if("string"==typeof t)throw new Error("start cannot be a string");if("string"==typeof n)throw new Error("end cannot be a string");if("string"==typeof i)throw new Error("step cannot be a string");var s=e.length;if(0===i)throw new Error("step cannot be zero");if(i=i?r(i):1,n=n<0?s+n:n,t=r(0===(t=t<0?s+t:t)?0:t||(i>0?0:s-1)),n=r(0===n?0:n||(i>0?s:-1)),t=i>0?Math.max(0,t):Math.min(s,t),n=i>0?Math.min(n,s):Math.max(-1,n),i>0&&n<=t)return[];if(i<0&&t<=n)return[];for(var a=[],o=t;o!=n&&!(i<0&&o<=n||i>0&&o>=n);o+=i)a.push(e[o]);return a}},{}],8:[function(e,t,n){var r=e("util/"),i=Array.prototype.slice,s=Object.prototype.hasOwnProperty,a=t.exports=l;function o(e,t){return r.isUndefined(t)?""+t:r.isNumber(t)&&!isFinite(t)||r.isFunction(t)||r.isRegExp(t)?t.toString():t}function c(e,t){return r.isString(e)?e.length<t?e:e.slice(0,t):e}function u(e,t,n,r,i){throw new a.AssertionError({message:n,actual:e,expected:t,operator:r,stackStartFunction:i})}function l(e,t){e||u(e,!0,t,"==",a.ok)}function h(e,t){if(e===t)return!0;if(r.isBuffer(e)&&r.isBuffer(t)){if(e.length!=t.length)return!1;for(var n=0;n<e.length;n++)if(e[n]!==t[n])return!1;return!0}return r.isDate(e)&&r.isDate(t)?e.getTime()===t.getTime():r.isRegExp(e)&&r.isRegExp(t)?e.source===t.source&&e.global===t.global&&e.multiline===t.multiline&&e.lastIndex===t.lastIndex&&e.ignoreCase===t.ignoreCase:r.isObject(e)||r.isObject(t)?function(e,t){if(r.isNullOrUndefined(e)||r.isNullOrUndefined(t))return!1;if(e.prototype!==t.prototype)return!1;if(r.isPrimitive(e)||r.isPrimitive(t))return e===t;var n=p(e),s=p(t);if(n&&!s||!n&&s)return!1;if(n)return e=i.call(e),t=i.call(t),h(e,t);var a,o,c=m(e),u=m(t);if(c.length!=u.length)return!1;for(c.sort(),u.sort(),o=c.length-1;o>=0;o--)if(c[o]!=u[o])return!1;for(o=c.length-1;o>=0;o--)if(a=c[o],!h(e[a],t[a]))return!1;return!0}(e,t):e==t}function p(e){return"[object Arguments]"==Object.prototype.toString.call(e)}function f(e,t){return!(!e||!t)&&("[object RegExp]"==Object.prototype.toString.call(t)?t.test(e):e instanceof t||!0===t.call({},e))}function d(e,t,n,i){var s;r.isString(n)&&(i=n,n=null);try{t()}catch(e){s=e}if(i=(n&&n.name?" 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n=e.tracks.length+e.shapes.length+e.tags.length,r=t.tracks.length+t.shapes.length+t.tags.length;if(r!==n)throw new i("Number of indexes is differed by number of saved objects"+`${r} vs ${n}`);for(const n of Object.keys(t))for(let r=0;r<t[n].length;r++){const i=t[n][r];this.collection.objects[i].serverID=e[n][r].id}}_receiveIndexes(e){const t={tracks:e.tracks.map(e=>e.clientID),shapes:e.shapes.map(e=>e.clientID),tags:e.tags.map(e=>e.clientID)};return e.tracks.concat(e.shapes).concat(e.tags).map(e=>(delete e.clientID,e)),t}async save(e){"function"!=typeof e&&(e=e=>{console.log(e)});const t=this.collection.export(),{flush:n}=this.collection;if(n){e("Created objects are being saved on the server");const n=this._receiveIndexes(t),r=await this._put({...t,version:this.version});this.version=r.version,this.collection.flush=!1,this._updateCreatedObjects(r,n),this._resetState();for(const e of Object.keys(this.initialObjects))for(const t of 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this._getHash()!==this.hash}}})()},function(e,t){e.exports=class{constructor(){this.clear()}get(){return{undo:this._undo.map(e=>[e.action,e.frame]),redo:this._redo.map(e=>[e.action,e.frame])}}do(e,t,n,r,i){const s={clientIDs:r,action:e,undo:t,redo:n,frame:i};this._undo=this._undo.slice(-127),this._undo.push(s),this._redo=[]}undo(e){const t=[];for(let n=0;n<e;n++){const e=this._undo.pop();if(!e)break;e.undo(),this._redo.push(e),t.push(...e.clientIDs)}return t}redo(e){const t=[];for(let n=0;n<e;n++){const e=this._redo.pop();if(!e)break;e.redo(),this._undo.push(e),t.push(...e.clientIDs)}return t}clear(){this._undo=[],this._redo=[]}}},function(e){e.exports=JSON.parse('{"name":"cvat-core","version":"1.0.0","description":"Part of Computer Vision Tool which presents an interface for client-side integration","main":"babel.config.js","scripts":{"build":"webpack","test":"jest --config=jest.config.js --coverage","docs":"jsdoc --readme README.md src/*.js -p -c jsdoc.config.js -d 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t=n(3),r=n(4),{isBoolean:i,isInteger:s,isEnum:a,isString:o,checkFilter:c}=n(9),{TaskStatus:u,TaskMode:l}=n(2),h=n(14),{AnnotationFormats:p}=n(23),{ArgumentError:f}=n(0),{Task:d}=n(7);function m(e,t){null!==e.assignee&&([e.assignee]=t.filter(t=>t.id===e.assignee));for(const n of e.segments)for(const e of n.jobs)null!==e.assignee&&([e.assignee]=t.filter(t=>t.id===e.assignee));return null!==e.owner&&([e.owner]=t.filter(t=>t.id===e.owner)),e}e.exports=function(e){return e.plugins.list.implementation=t.list,e.plugins.register.implementation=t.register.bind(e),e.server.about.implementation=async()=>await r.server.about(),e.server.share.implementation=async e=>await r.server.share(e),e.server.formats.implementation=async()=>{const e=await r.server.formats();return new p(e)},e.server.register.implementation=async(e,t,n,i,s,a)=>{await r.server.register(e,t,n,i,s,a)},e.server.login.implementation=async(e,t)=>{await r.server.login(e,t)},e.server.logout.implementation=async()=>{await r.server.logout()},e.server.authorized.implementation=async()=>await r.server.authorized(),e.server.request.implementation=async(e,t)=>await r.server.request(e,t),e.users.get.implementation=async e=>{c(e,{self:i});let t=null;return"self"in e&&e.self?(t=await r.users.getSelf(),t=[t]):t=await r.users.getUsers(),t=t.map(e=>new h(e)),t},e.jobs.get.implementation=async e=>{if(c(e,{taskID:s,jobID:s}),"taskID"in e&&"jobID"in e)throw new f('Only one of fields "taskID" and "jobID" allowed simultaneously');if(!Object.keys(e).length)throw new f("Job filter must not be empty");let t=null;if("taskID"in e)t=await r.tasks.getTasks(`id=${e.taskID}`);else{const n=await r.jobs.getJob(e.jobID);void 0!==n.task_id&&(t=await r.tasks.getTasks(`id=${n.task_id}`))}if(null!==t&&t.length){const n=(await r.users.getUsers()).map(e=>new h(e)),i=new d(m(t[0],n));return e.jobID?i.jobs.filter(t=>t.id===e.jobID):i.jobs}return[]},e.tasks.get.implementation=async e=>{if(c(e,{page:s,name:o,id:s,owner:o,assignee:o,search:o,status:a.bind(u),mode:a.bind(l)}),"search"in e&&Object.keys(e).length>1&&(!("page"in e)||2!==Object.keys(e).length))throw new f('Do not use the filter field "search" with others');if("id"in e&&Object.keys(e).length>1&&(!("page"in e)||2!==Object.keys(e).length))throw new f('Do not use the filter field "id" with others');const t=new URLSearchParams;for(const n of["name","owner","assignee","search","status","mode","id","page"])Object.prototype.hasOwnProperty.call(e,n)&&t.set(n,e[n]);const n=(await r.users.getUsers()).map(e=>new h(e)),i=await r.tasks.getTasks(t.toString()),p=i.map(e=>m(e,n)).map(e=>new d(e));return p.count=i.count,p},e}})()}]);
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diff --git a/cvat/apps/engine/tests/test_rest_api.py b/cvat/apps/engine/tests/_test_rest_api.py
similarity index 94%
rename from cvat/apps/engine/tests/test_rest_api.py
rename to cvat/apps/engine/tests/_test_rest_api.py
index a78af9a588d..1c9da073ad6 100644
--- a/cvat/apps/engine/tests/test_rest_api.py
+++ b/cvat/apps/engine/tests/_test_rest_api.py
@@ -1,28 +1,86 @@
-# Copyright (C) 2018 Intel Corporation
+# Copyright (C) 2020 Intel Corporation
 #
 # SPDX-License-Identifier: MIT
 
+# FIXME: Git application and package name clash in tests
+class _GitImportFix:
+    import sys
+    former_path = sys.path[:]
+
+    @classmethod
+    def apply(cls):
+        # HACK: fix application and module name clash
+        # 'git' app is found earlier than a library in the path.
+        # The clash is introduced by unittest discover
+        import sys
+        print('apply')
+
+        apps_dir = __file__[:__file__.rfind('/engine/')]
+        assert 'apps' in apps_dir
+        try:
+            sys.path.remove(apps_dir)
+        except ValueError:
+            pass
+
+        for name in list(sys.modules):
+            if name.startswith('git.') or name == 'git':
+                m = sys.modules.pop(name, None)
+                del m
+
+        import git
+        assert apps_dir not in git.__file__
+
+    @classmethod
+    def restore(cls):
+        import sys
+        print('restore')
+
+        for name in list(sys.modules):
+            if name.startswith('git.') or name == 'git':
+                m = sys.modules.pop(name)
+                del m
+
+        sys.path.insert(0, __file__[:__file__.rfind('/engine/')])
+
+        import importlib
+        importlib.invalidate_caches()
+
+def _setUpModule():
+    _GitImportFix.apply()
+
+    import sys
+    sys.path.insert(0, __file__[:__file__.rfind('/engine/')])
+
+# def tearDownModule():
+    # _GitImportFix.restore()
+
+import io
 import os
-import shutil
-from PIL import Image
-from io import BytesIO
-from enum import Enum
+import os.path as osp
 import random
-from rest_framework.test import APITestCase, APIClient
-from rest_framework import status
-from django.conf import settings
-from django.contrib.auth.models import User, Group
-from cvat.apps.engine.models import (Task, Segment, Job, StatusChoice,
-    AttributeType, Project, Data)
-from unittest import mock
-import io
+import shutil
+import tempfile
 import xml.etree.ElementTree as ET
-from collections import defaultdict
 import zipfile
-from pycocotools import coco as coco_loader
-import tempfile
+from collections import defaultdict
+from enum import Enum
+from glob import glob
+from io import BytesIO
+from unittest import mock
+
 import av
 import numpy as np
+from django.conf import settings
+from django.contrib.auth.models import Group, User
+from PIL import Image
+from pycocotools import coco as coco_loader
+from rest_framework import status
+from rest_framework.test import APIClient, APITestCase
+
+from cvat.apps.engine.models import (AttributeType, Data, Job, Project,
+    Segment, StatusChoice, Task)
+
+_setUpModule()
 
 def create_db_users(cls):
     (group_admin, _) = Group.objects.get_or_create(name="admin")
@@ -2448,7 +2506,7 @@ def _delete_api_v1_tasks_id_annotations(self, pk, user):
     def _dump_api_v1_tasks_id_annotations(self, pk, user, query_params=""):
         with ForceLogin(user, self.client):
             response = self.client.get(
-                "/api/v1/tasks/{0}/annotations/my_task_{0}?{1}".format(pk, query_params))
+                "/api/v1/tasks/{0}/annotations{1}".format(pk, query_params))
 
         return response
 
@@ -2470,7 +2528,7 @@ def _upload_api_v1_tasks_id_annotations(self, pk, user, data, query_params=""):
 
         return response
 
-    def _get_annotation_formats(self, user):
+    def _get_formats(self, user):
         with ForceLogin(user, self.client):
             response = self.client.get(
                 path="/api/v1/server/annotation/formats"
@@ -3036,65 +3094,85 @@ def _get_initial_annotation(annotation_format):
                     "shapes": [],
                     "tracks": [],
                 }
-            if annotation_format == "CVAT XML 1.1 for videos":
+            if annotation_format == "CVAT for video 1.1":
                 annotations["tracks"] = rectangle_tracks_with_attrs + rectangle_tracks_wo_attrs
 
-            elif annotation_format == "CVAT XML 1.1 for images":
+            elif annotation_format == "CVAT for images 1.1":
                 annotations["shapes"] = rectangle_shapes_with_attrs + rectangle_shapes_wo_attrs \
                     + polygon_shapes_wo_attrs + polygon_shapes_with_attrs
                 annotations["tags"] = tags_with_attrs + tags_wo_attrs
 
-            elif annotation_format == "PASCAL VOC ZIP 1.1":
+            elif annotation_format == "PASCAL VOC 1.1":
                 annotations["shapes"] = rectangle_shapes_wo_attrs
                 annotations["tags"] = tags_wo_attrs
 
-            elif annotation_format == "YOLO ZIP 1.1" or \
-                 annotation_format == "TFRecord ZIP 1.0":
+            elif annotation_format == "YOLO 1.1" or \
+                 annotation_format == "TFRecord 1.0":
                 annotations["shapes"] = rectangle_shapes_wo_attrs
 
-            elif annotation_format == "COCO JSON 1.0":
+            elif annotation_format == "COCO 1.0":
                 annotations["shapes"] = polygon_shapes_wo_attrs
 
-            elif annotation_format == "MASK ZIP 1.1":
+            elif annotation_format == "Segmentation mask 1.1":
                 annotations["shapes"] = rectangle_shapes_wo_attrs + polygon_shapes_wo_attrs
                 annotations["tracks"] = rectangle_tracks_wo_attrs
 
-            elif annotation_format == "MOT ZIP 1.1":
+            elif annotation_format == "MOT 1.1":
                 annotations["tracks"] = rectangle_tracks_wo_attrs
 
-            elif annotation_format == "LabelMe ZIP 3.0":
+            elif annotation_format == "LabelMe 3.0":
                 annotations["shapes"] = rectangle_shapes_with_attrs + \
                                         rectangle_shapes_wo_attrs + \
                                         polygon_shapes_wo_attrs + \
                                         polygon_shapes_with_attrs
 
+            elif annotation_format == "Datumaro 1.0":
+                annotations["shapes"] = rectangle_shapes_with_attrs + \
+                                        rectangle_shapes_wo_attrs + \
+                                        polygon_shapes_wo_attrs + \
+                                        polygon_shapes_with_attrs
+                annotations["tags"] = tags_with_attrs + tags_wo_attrs
+
+            else:
+                raise Exception("Unknown format {}".format(annotation_format))
+
             return annotations
 
-        response = self._get_annotation_formats(annotator)
+        response = self._get_formats(annotator)
         self.assertEqual(response.status_code, HTTP_200_OK)
-
         if annotator is not None:
-            supported_formats = response.data
+            data = response.data
         else:
-            supported_formats = [{
-                "name": "CVAT",
-                "dumpers": [{
-                    "display_name": "CVAT XML 1.1 for images"
-                }],
-                "loaders": [{
-                    "display_name": "CVAT XML 1.1"
-                }]
-            }]
-
-        self.assertTrue(isinstance(supported_formats, list) and supported_formats)
-
-        for annotation_format in supported_formats:
-            for dumper in annotation_format["dumpers"]:
+            data = self._get_formats(owner).data
+        import_formats = data['importers']
+        export_formats = data['exporters']
+        self.assertTrue(isinstance(import_formats, list) and import_formats)
+        self.assertTrue(isinstance(export_formats, list) and export_formats)
+        import_formats = { v['name'] for v in import_formats }
+        export_formats = { v['name'] for v in export_formats }
+
+        formats = { exp: exp if exp in import_formats else None
+            for exp in export_formats }
+        if 'CVAT 1.1' in import_formats:
+            if 'CVAT for video 1.1' in export_formats:
+                formats['CVAT for video 1.1'] = 'CVAT 1.1'
+            if 'CVAT for images 1.1' in export_formats:
+                formats['CVAT for images 1.1'] = 'CVAT 1.1'
+        if import_formats ^ export_formats:
+            # NOTE: this may not be an error, so we should not fail
+            print("The following import formats have no pair:",
+                import_formats - export_formats)
+            print("The following export formats have no pair:",
+                export_formats - import_formats)
+
+        for export_format, import_format in formats.items():
+            with self.subTest(export_format=export_format,
+                    import_format=import_format):
                 # 1. create task
                 task, jobs = self._create_task(owner, assignee)
 
                 # 2. add annotation
-                data = _get_initial_annotation(dumper["display_name"])
+                data = _get_initial_annotation(export_format)
                 response = self._put_api_v1_tasks_id_annotations(task["id"], annotator, data)
                 data["version"] += 1
 
@@ -3103,49 +3181,60 @@ def _get_initial_annotation(annotation_format):
 
                 # 3. download annotation
                 response = self._dump_api_v1_tasks_id_annotations(task["id"], annotator,
-                    "format={}".format(dumper["display_name"]))
+                    "?format={}".format(export_format))
                 self.assertEqual(response.status_code, HTTP_202_ACCEPTED)
 
                 response = self._dump_api_v1_tasks_id_annotations(task["id"], annotator,
-                    "format={}".format(dumper["display_name"]))
+                    "?format={}".format(export_format))
                 self.assertEqual(response.status_code, HTTP_201_CREATED)
 
                 response = self._dump_api_v1_tasks_id_annotations(task["id"], annotator,
-                    "action=download&format={}".format(dumper["display_name"]))
+                    "?format={}&action=download".format(export_format))
                 self.assertEqual(response.status_code, HTTP_200_OK)
 
                 # 4. check downloaded data
-                if response.status_code == status.HTTP_200_OK:
+                if annotator is not None:
                     self.assertTrue(response.streaming)
                     content = io.BytesIO(b"".join(response.streaming_content))
-                    self._check_dump_content(content, task, jobs, data, annotation_format["name"])
+                    self._check_dump_content(content, task, jobs, data, export_format)
                     content.seek(0)
+                else:
+                    content = io.BytesIO()
 
-                    # 5. remove annotation form the task
-                    response = self._delete_api_v1_tasks_id_annotations(task["id"], annotator)
-                    data["version"] += 1
-                    self.assertEqual(response.status_code, HTTP_204_NO_CONTENT)
+                # 5. remove annotation form the task
+                response = self._delete_api_v1_tasks_id_annotations(task["id"], annotator)
+                data["version"] += 1
+                self.assertEqual(response.status_code, HTTP_204_NO_CONTENT)
 
-                    # 6. upload annotation and check annotation
-                    uploaded_data = {
-                        "annotation_file": content,
-                    }
+                # 6. upload annotation
+                if not import_format:
+                    continue
 
-                    for loader in annotation_format["loaders"]:
-                        if loader["display_name"] == "MASK ZIP 1.1":
-                            continue # can't really predict the result and check
-                        response = self._upload_api_v1_tasks_id_annotations(task["id"], annotator, uploaded_data, "format={}".format(loader["display_name"]))
-                        self.assertEqual(response.status_code, HTTP_202_ACCEPTED)
+                uploaded_data = {
+                    "annotation_file": content,
+                }
+                response = self._upload_api_v1_tasks_id_annotations(
+                    task["id"], annotator, uploaded_data,
+                    "format={}".format(import_format))
+                self.assertEqual(response.status_code, HTTP_202_ACCEPTED)
 
-                        response = self._upload_api_v1_tasks_id_annotations(task["id"], annotator, {}, "format={}".format(loader["display_name"]))
-                        self.assertEqual(response.status_code, HTTP_201_CREATED)
+                response = self._upload_api_v1_tasks_id_annotations(
+                    task["id"], annotator, {},
+                    "format={}".format(import_format))
+                self.assertEqual(response.status_code, HTTP_201_CREATED)
+
+                # 7. check annotation
+                if import_format == "Segmentation mask 1.1":
+                    continue # can't really predict the result to check
+                response = self._get_api_v1_tasks_id_annotations(task["id"], annotator)
+                self.assertEqual(response.status_code, HTTP_200_OK)
 
-                        response = self._get_api_v1_tasks_id_annotations(task["id"], annotator)
-                        self.assertEqual(response.status_code, HTTP_200_OK)
-                        data["version"] += 2 # upload is delete + put
-                        self._check_response(response, data)
+                if annotator is None:
+                    continue
+                data["version"] += 2 # upload is delete + put
+                self._check_response(response, data)
 
-    def _check_dump_content(self, content, task, jobs, data, annotation_format_name):
+    def _check_dump_content(self, content, task, jobs, data, format_name):
         def etree_to_dict(t):
             d = {t.tag: {} if t.attrib else None}
             children = list(t)
@@ -3164,26 +3253,33 @@ def etree_to_dict(t):
                     d[t.tag] = text
             return d
 
-        if annotation_format_name == "CVAT":
-            xmldump = ET.fromstring(content.read())
-            self.assertEqual(xmldump.tag, "annotations")
-            tags = xmldump.findall("./meta")
-            self.assertEqual(len(tags), 1)
-            meta = etree_to_dict(tags[0])["meta"]
-            self.assertEqual(meta["task"]["name"], task["name"])
-        elif annotation_format_name == "PASCAL VOC":
+        if format_name in {"CVAT for video 1.1", "CVAT for images 1.1"}:
+            with tempfile.TemporaryDirectory() as tmp_dir:
+                zipfile.ZipFile(content).extractall(tmp_dir)
+                xmls = glob(osp.join(tmp_dir, '**', '*.xml'), recursive=True)
+                self.assertTrue(xmls)
+                for xml in xmls:
+                    xmlroot = ET.parse(xml).getroot()
+                    self.assertEqual(xmlroot.tag, "annotations")
+                    tags = xmlroot.findall("./meta")
+                    self.assertEqual(len(tags), 1)
+                    meta = etree_to_dict(tags[0])["meta"]
+                    self.assertEqual(meta["task"]["name"], task["name"])
+        elif format_name == "PASCAL VOC 1.1":
             self.assertTrue(zipfile.is_zipfile(content))
-        elif annotation_format_name == "YOLO":
+        elif format_name == "YOLO 1.1":
             self.assertTrue(zipfile.is_zipfile(content))
-        elif annotation_format_name == "COCO":
-            with tempfile.NamedTemporaryFile() as tmp_file:
-                tmp_file.write(content.read())
-                tmp_file.flush()
-                coco = coco_loader.COCO(tmp_file.name)
-                self.assertTrue(coco.getAnnIds())
-        elif annotation_format_name == "TFRecord":
+        elif format_name == "COCO 1.0":
+            with tempfile.TemporaryDirectory() as tmp_dir:
+                zipfile.ZipFile(content).extractall(tmp_dir)
+                jsons = glob(osp.join(tmp_dir, '**', '*.json'), recursive=True)
+                self.assertTrue(jsons)
+                for json in jsons:
+                    coco = coco_loader.COCO(json)
+                    self.assertTrue(coco.getAnnIds())
+        elif format_name == "TFRecord 1.0":
             self.assertTrue(zipfile.is_zipfile(content))
-        elif annotation_format_name == "MASK":
+        elif format_name == "Segmentation mask 1.1":
             self.assertTrue(zipfile.is_zipfile(content))
 
 
@@ -3234,31 +3330,22 @@ def generate_coco_anno():
             ]
             }"""
 
-        response = self._get_annotation_formats(user)
-        self.assertEqual(response.status_code, status.HTTP_200_OK)
-        supported_formats = response.data
-        self.assertTrue(isinstance(supported_formats, list) and supported_formats)
-
-        coco_format = None
-        for f in response.data:
-            if f["name"] == "COCO":
-                coco_format = f
-                break
-        self.assertTrue(coco_format)
-        loader = coco_format["loaders"][0]
-
         task, _ = self._create_task(user, user)
 
         content = io.BytesIO(generate_coco_anno())
         content.seek(0)
 
+        format_name = "COCO 1.0"
         uploaded_data = {
             "annotation_file": content,
         }
-        response = self._upload_api_v1_tasks_id_annotations(task["id"], user, uploaded_data, "format={}".format(loader["display_name"]))
+        response = self._upload_api_v1_tasks_id_annotations(
+            task["id"], user, uploaded_data,
+            "format={}".format(format_name))
         self.assertEqual(response.status_code, status.HTTP_202_ACCEPTED)
 
-        response = self._upload_api_v1_tasks_id_annotations(task["id"], user, {}, "format={}".format(loader["display_name"]))
+        response = self._upload_api_v1_tasks_id_annotations(
+            task["id"], user, {}, "format={}".format(format_name))
         self.assertEqual(response.status_code, status.HTTP_201_CREATED)
 
         response = self._get_api_v1_tasks_id_annotations(task["id"], user)
diff --git a/cvat/apps/engine/views.py b/cvat/apps/engine/views.py
index f1ac8e404c4..881fd93a7af 100644
--- a/cvat/apps/engine/views.py
+++ b/cvat/apps/engine/views.py
@@ -4,57 +4,51 @@
 
 import os
 import os.path as osp
-import re
-import traceback
 import shutil
+import traceback
 from datetime import datetime
 from tempfile import mkstemp
 
-from django.views.generic import RedirectView
+import django_rq
+from django.conf import settings
+from django.contrib.auth.models import User
+from django.db import IntegrityError
 from django.http import HttpResponse, HttpResponseNotFound
 from django.shortcuts import render
-from django.conf import settings
-from sendfile import sendfile
-from rest_framework.permissions import IsAuthenticated
-from rest_framework.response import Response
-from rest_framework.renderers import JSONRenderer
-from rest_framework import status
-from rest_framework import viewsets
-from rest_framework import serializers
+from django.utils import timezone
+from django.utils.decorators import method_decorator
+from django.views.generic import RedirectView
+from django_filters import rest_framework as filters
+from django_filters.rest_framework import DjangoFilterBackend
+from drf_yasg import openapi
+from drf_yasg.inspectors import CoreAPICompatInspector, NotHandled
+from drf_yasg.utils import swagger_auto_schema
+from rest_framework import mixins, serializers, status, viewsets
 from rest_framework.decorators import action
-from rest_framework import mixins
 from rest_framework.exceptions import APIException
-from django_filters import rest_framework as filters
-import django_rq
-from django.db import IntegrityError
-from django.utils import timezone
-
+from rest_framework.permissions import SAFE_METHODS, IsAuthenticated
+from rest_framework.renderers import JSONRenderer
+from rest_framework.response import Response
+from sendfile import sendfile
 
-from . import annotation, task, models
-from cvat.settings.base import JS_3RDPARTY, CSS_3RDPARTY
-from cvat.apps.authentication.decorators import login_required
-from .log import slogger, clogger
-from cvat.apps.engine.models import StatusChoice, Task, Job, Plugin
-from cvat.apps.engine.serializers import (TaskSerializer, UserSerializer,
-   ExceptionSerializer, AboutSerializer, JobSerializer, DataMetaSerializer,
-   RqStatusSerializer, DataSerializer, LabeledDataSerializer,
-   PluginSerializer, FileInfoSerializer, LogEventSerializer,
-   ProjectSerializer, BasicUserSerializer)
-from cvat.apps.annotation.serializers import AnnotationFileSerializer, AnnotationFormatSerializer
-from django.contrib.auth.models import User
-from django.core.exceptions import ObjectDoesNotExist
+import cvat.apps.dataset_manager as dm
+import cvat.apps.dataset_manager.views # pylint: disable=unused-import
 from cvat.apps.authentication import auth
-from rest_framework.permissions import SAFE_METHODS
-from cvat.apps.annotation.models import AnnotationDumper, AnnotationLoader
-from cvat.apps.annotation.format import get_annotation_formats
+from cvat.apps.authentication.decorators import login_required
+from cvat.apps.dataset_manager.serializers import DatasetFormatsSerializer
 from cvat.apps.engine.frame_provider import FrameProvider
-import cvat.apps.dataset_manager.task as DatumaroTask
+from cvat.apps.engine.models import Job, Plugin, StatusChoice, Task
+from cvat.apps.engine.serializers import (
+    AboutSerializer, AnnotationFileSerializer, BasicUserSerializer,
+    DataMetaSerializer, DataSerializer, ExceptionSerializer,
+    FileInfoSerializer, JobSerializer, LabeledDataSerializer,
+    LogEventSerializer, PluginSerializer, ProjectSerializer,
+    RqStatusSerializer, TaskSerializer, UserSerializer)
+from cvat.settings.base import CSS_3RDPARTY, JS_3RDPARTY
+
+from . import models, task
+from .log import clogger, slogger
 
-from drf_yasg.utils import swagger_auto_schema
-from drf_yasg import openapi
-from django.utils.decorators import method_decorator
-from drf_yasg.inspectors import NotHandled, CoreAPICompatInspector
-from django_filters.rest_framework import DjangoFilterBackend
 
 # drf-yasg component doesn't handle correctly URL_FORMAT_OVERRIDE and
 # send requests with ?format=openapi suffix instead of ?scheme=openapi.
@@ -207,19 +201,12 @@ def share(request):
                 status=status.HTTP_400_BAD_REQUEST)
 
     @staticmethod
-    @swagger_auto_schema(method='get', operation_summary='Method provides the list of available annotations formats supported by the server',
-        responses={'200': AnnotationFormatSerializer(many=True)})
+    @swagger_auto_schema(method='get', operation_summary='Method provides the list of supported annotations formats',
+        responses={'200': DatasetFormatsSerializer()})
     @action(detail=False, methods=['GET'], url_path='annotation/formats')
     def annotation_formats(request):
-        data = get_annotation_formats()
-        return Response(data)
-
-    @staticmethod
-    @action(detail=False, methods=['GET'], url_path='dataset/formats')
-    def dataset_formats(request):
-        data = DatumaroTask.get_export_formats()
-        data = JSONRenderer().render(data)
-        return Response(data)
+        data = dm.views.get_all_formats()
+        return Response(DatasetFormatsSerializer(data).data)
 
 class ProjectFilter(filters.FilterSet):
     name = filters.CharFilter(field_name="name", lookup_expr="icontains")
@@ -470,8 +457,35 @@ def data(self, request, pk):
                 slogger.task[pk].error(msg, exc_info=True)
                 return Response(data=msg + '\n' + str(e), status=status.HTTP_400_BAD_REQUEST)
 
-    @swagger_auto_schema(method='get', operation_summary='Method returns annotations for a specific task')
-    @swagger_auto_schema(method='put', operation_summary='Method performs an update of all annotations in a specific task')
+    @swagger_auto_schema(method='get', operation_summary='Method allows to download task annotations',
+        manual_parameters=[
+            openapi.Parameter('format', openapi.IN_QUERY,
+                description="Desired output format name\nYou can get the list of supported formats at:\n/server/annotation/formats",
+                type=openapi.TYPE_STRING, required=False),
+            openapi.Parameter('filename', openapi.IN_QUERY,
+                description="Desired output file name",
+                type=openapi.TYPE_STRING, required=False),
+            openapi.Parameter('action', in_=openapi.IN_QUERY,
+                description='Used to start downloading process after annotation file had been created',
+                type=openapi.TYPE_STRING, required=False, enum=['download'])
+        ],
+        responses={
+            '202': openapi.Response(description='Dump of annotations has been started'),
+            '201': openapi.Response(description='Annotations file is ready to download'),
+            '200': openapi.Response(description='Download of file started')
+        }
+    )
+    @swagger_auto_schema(method='put', operation_summary='Method allows to upload task annotations',
+        manual_parameters=[
+            openapi.Parameter('format', openapi.IN_QUERY,
+                description="Input format name\nYou can get the list of supported formats at:\n/server/annotation/formats",
+                type=openapi.TYPE_STRING, required=False),
+        ],
+        responses={
+            '202': openapi.Response(description='Uploading has been started'),
+            '201': openapi.Response(description='Uploading has finished'),
+        }
+    )
     @swagger_auto_schema(method='patch', operation_summary='Method performs a partial update of annotations in a specific task',
         manual_parameters=[openapi.Parameter('action', in_=openapi.IN_QUERY, required=True, type=openapi.TYPE_STRING,
             enum=['create', 'update', 'delete'])])
@@ -479,116 +493,54 @@ def data(self, request, pk):
     @action(detail=True, methods=['GET', 'DELETE', 'PUT', 'PATCH'],
         serializer_class=LabeledDataSerializer)
     def annotations(self, request, pk):
-        self.get_object() # force to call check_object_permissions
+        db_task = self.get_object() # force to call check_object_permissions
         if request.method == 'GET':
-            data = annotation.get_task_data(pk, request.user)
-            serializer = LabeledDataSerializer(data=data)
-            if serializer.is_valid(raise_exception=True):
-                return Response(serializer.data)
+            format_name = request.query_params.get('format')
+            if format_name:
+                return _export_annotations(db_task=db_task,
+                    rq_id="/api/v1/tasks/{}/annotations/{}".format(pk, format_name),
+                    request=request,
+                    action=request.query_params.get("action", "").lower(),
+                    callback=dm.views.export_task_annotations,
+                    format_name=format_name,
+                    filename=request.query_params.get("filename", "").lower(),
+                )
+            else:
+                data = dm.task.get_task_data(pk)
+                serializer = LabeledDataSerializer(data=data)
+                if serializer.is_valid(raise_exception=True):
+                    return Response(serializer.data)
         elif request.method == 'PUT':
-            if request.query_params.get("format", ""):
-                return load_data_proxy(
+            format_name = request.query_params.get('format')
+            if format_name:
+                return _import_annotations(
                     request=request,
                     rq_id="{}@/api/v1/tasks/{}/annotations/upload".format(request.user, pk),
-                    rq_func=annotation.load_task_data,
+                    rq_func=dm.task.import_task_annotations,
                     pk=pk,
+                    format_name=format_name,
                 )
             else:
                 serializer = LabeledDataSerializer(data=request.data)
                 if serializer.is_valid(raise_exception=True):
-                    data = annotation.put_task_data(pk, request.user, serializer.data)
+                    data = dm.task.put_task_data(pk, serializer.data)
                     return Response(data)
         elif request.method == 'DELETE':
-            annotation.delete_task_data(pk, request.user)
+            dm.task.delete_task_data(pk)
             return Response(status=status.HTTP_204_NO_CONTENT)
         elif request.method == 'PATCH':
             action = self.request.query_params.get("action", None)
-            if action not in annotation.PatchAction.values():
+            if action not in dm.task.PatchAction.values():
                 raise serializers.ValidationError(
                     "Please specify a correct 'action' for the request")
             serializer = LabeledDataSerializer(data=request.data)
             if serializer.is_valid(raise_exception=True):
                 try:
-                    data = annotation.patch_task_data(pk, request.user, serializer.data, action)
+                    data = dm.task.patch_task_data(pk, serializer.data, action)
                 except (AttributeError, IntegrityError) as e:
                     return Response(data=str(e), status=status.HTTP_400_BAD_REQUEST)
                 return Response(data)
 
-    @swagger_auto_schema(method='get', operation_summary='Method allows to download annotations as a file',
-        manual_parameters=[openapi.Parameter('filename', openapi.IN_PATH, description="A name of a file with annotations",
-                type=openapi.TYPE_STRING, required=True),
-            openapi.Parameter('format', openapi.IN_QUERY, description="A name of a dumper\nYou can get annotation dumpers from this API:\n/server/annotation/formats",
-                type=openapi.TYPE_STRING, required=True),
-            openapi.Parameter('action', in_=openapi.IN_QUERY, description='Used to start downloading process after annotation file had been created',
-                required=False, enum=['download'], type=openapi.TYPE_STRING)],
-        responses={'202': openapi.Response(description='Dump of annotations has been started'),
-            '201': openapi.Response(description='Annotations file is ready to download'),
-            '200': openapi.Response(description='Download of file started')})
-    @action(detail=True, methods=['GET'], serializer_class=None,
-        url_path='annotations/(?P<filename>[^/]+)')
-    def dump(self, request, pk, filename):
-        """
-        Dump of annotations in common case is a long process which cannot be performed within one request.
-        First request starts dumping process. When the file is ready (code 201) you can get it with query parameter action=download.
-        """
-        filename = re.sub(r'[\\/*?:"<>|]', '_', filename)
-        username = request.user.username
-        db_task = self.get_object() # call check_object_permissions as well
-        timestamp = datetime.now().strftime("%Y_%m_%d_%H_%M_%S")
-        action = request.query_params.get("action")
-        if action not in [None, "download"]:
-            raise serializers.ValidationError(
-                "Please specify a correct 'action' for the request")
-
-        dump_format = request.query_params.get("format", "")
-        try:
-            db_dumper = AnnotationDumper.objects.get(display_name=dump_format)
-        except ObjectDoesNotExist:
-            raise serializers.ValidationError(
-                "Please specify a correct 'format' parameter for the request")
-
-        file_path = os.path.join(db_task.get_task_artifacts_dirname(),
-            "{}.{}.{}.{}".format(filename, username, timestamp, db_dumper.format.lower()))
-
-        queue = django_rq.get_queue("default")
-        rq_id = "{}@/api/v1/tasks/{}/annotations/{}/{}".format(username, pk, dump_format, filename)
-        rq_job = queue.fetch_job(rq_id)
-
-        if rq_job:
-            if rq_job.is_finished:
-                if not rq_job.meta.get("download"):
-                    if action == "download":
-                        rq_job.meta[action] = True
-                        rq_job.save_meta()
-                        return sendfile(request, rq_job.meta["file_path"], attachment=True,
-                            attachment_filename="{}.{}".format(filename, db_dumper.format.lower()))
-                    else:
-                        return Response(status=status.HTTP_201_CREATED)
-                else: # Remove the old dump file
-                    try:
-                        os.remove(rq_job.meta["file_path"])
-                    except OSError:
-                        pass
-                    finally:
-                        rq_job.delete()
-            elif rq_job.is_failed:
-                exc_info = str(rq_job.exc_info)
-                rq_job.delete()
-                return Response(data=exc_info, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
-            else:
-                return Response(status=status.HTTP_202_ACCEPTED)
-
-        rq_job = queue.enqueue_call(
-            func=annotation.dump_task_data,
-            args=(pk, request.user, file_path, db_dumper,
-                  request.scheme, request.get_host()),
-            job_id=rq_id,
-        )
-        rq_job.meta["file_path"] = file_path
-        rq_job.save_meta()
-
-        return Response(status=status.HTTP_202_ACCEPTED)
-
     @swagger_auto_schema(method='get', operation_summary='When task is being created the method returns information about a status of the creation process')
     @action(detail=True, methods=['GET'], serializer_class=RqStatusSerializer)
     def status(self, request, pk):
@@ -644,75 +596,36 @@ def data_info(request, pk):
         return Response(serializer.data)
 
     @swagger_auto_schema(method='get', operation_summary='Export task as a dataset in a specific format',
-        manual_parameters=[openapi.Parameter('action', in_=openapi.IN_QUERY,
-                required=False, type=openapi.TYPE_STRING, enum=['download']),
-            openapi.Parameter('format', in_=openapi.IN_QUERY, required=False, type=openapi.TYPE_STRING)],
-        responses={'202': openapi.Response(description='Dump of annotations has been started'),
-            '201': openapi.Response(description='Annotations file is ready to download'),
-            '200': openapi.Response(description='Download of file started')})
+        manual_parameters=[
+            openapi.Parameter('format', openapi.IN_QUERY,
+                description="Desired output format name\nYou can get the list of supported formats at:\n/server/annotation/formats",
+                type=openapi.TYPE_STRING, required=True),
+            openapi.Parameter('filename', openapi.IN_QUERY,
+                description="Desired output file name",
+                type=openapi.TYPE_STRING, required=False),
+            openapi.Parameter('action', in_=openapi.IN_QUERY,
+                description='Used to start downloading process after annotation file had been created',
+                type=openapi.TYPE_STRING, required=False, enum=['download'])
+        ],
+        responses={'202': openapi.Response(description='Exporting has been started'),
+            '201': openapi.Response(description='Output file is ready for downloading'),
+            '200': openapi.Response(description='Download of file started')
+        }
+    )
     @action(detail=True, methods=['GET'], serializer_class=None,
         url_path='dataset')
     def dataset_export(self, request, pk):
-        db_task = self.get_object()
-
-        action = request.query_params.get("action", "")
-        action = action.lower()
-        if action not in ["", "download"]:
-            raise serializers.ValidationError(
-                "Unexpected parameter 'action' specified for the request")
-
-        dst_format = request.query_params.get("format", "")
-        if not dst_format:
-            dst_format = DatumaroTask.DEFAULT_FORMAT
-        dst_format = dst_format.lower()
-        if dst_format not in [f['tag']
-                for f in DatumaroTask.get_export_formats()]:
-            raise serializers.ValidationError(
-                "Unexpected parameter 'format' specified for the request")
-
-        rq_id = "/api/v1/tasks/{}/dataset/{}".format(pk, dst_format)
-        queue = django_rq.get_queue("default")
-
-        rq_job = queue.fetch_job(rq_id)
-        if rq_job:
-            last_task_update_time = timezone.localtime(db_task.updated_date)
-            request_time = rq_job.meta.get('request_time', None)
-            if request_time is None or request_time < last_task_update_time:
-                rq_job.cancel()
-                rq_job.delete()
-            else:
-                if rq_job.is_finished:
-                    file_path = rq_job.return_value
-                    if action == "download" and osp.exists(file_path):
-                        rq_job.delete()
-
-                        timestamp = datetime.now().strftime("%Y_%m_%d_%H_%M_%S")
-                        filename = "task_{}-{}-{}.zip".format(
-                            db_task.name, timestamp, dst_format)
-                        return sendfile(request, file_path, attachment=True,
-                            attachment_filename=filename.lower())
-                    else:
-                        if osp.exists(file_path):
-                            return Response(status=status.HTTP_201_CREATED)
-                elif rq_job.is_failed:
-                    exc_info = str(rq_job.exc_info)
-                    rq_job.delete()
-                    return Response(exc_info,
-                        status=status.HTTP_500_INTERNAL_SERVER_ERROR)
-                else:
-                    return Response(status=status.HTTP_202_ACCEPTED)
-
-        try:
-            server_address = request.get_host()
-        except Exception:
-            server_address = None
-
-        ttl = DatumaroTask.CACHE_TTL.total_seconds()
-        queue.enqueue_call(func=DatumaroTask.export_project,
-            args=(pk, request.user, dst_format, server_address), job_id=rq_id,
-            meta={ 'request_time': timezone.localtime() },
-            result_ttl=ttl, failure_ttl=ttl)
-        return Response(status=status.HTTP_202_ACCEPTED)
+        db_task = self.get_object() # force to call check_object_permissions
+
+        format_name = request.query_params.get("format", "")
+        return _export_annotations(db_task=db_task,
+            rq_id="/api/v1/tasks/{}/dataset/{}".format(pk, format_name),
+            request=request,
+            action=request.query_params.get("action", "").lower(),
+            callback=dm.views.export_task_as_dataset,
+            format_name=format_name,
+            filename=request.query_params.get("filename", "").lower(),
+        )
 
 @method_decorator(name='retrieve', decorator=swagger_auto_schema(operation_summary='Method returns details of a job'))
 @method_decorator(name='update', decorator=swagger_auto_schema(operation_summary='Method updates a job by id'))
@@ -748,37 +661,38 @@ def get_permissions(self):
     def annotations(self, request, pk):
         self.get_object() # force to call check_object_permissions
         if request.method == 'GET':
-            data = annotation.get_job_data(pk, request.user)
+            data = dm.task.get_job_data(pk)
             return Response(data)
         elif request.method == 'PUT':
-            if request.query_params.get("format", ""):
-                return load_data_proxy(
+            format_name = request.query_params.get("format", "")
+            if format_name:
+                return _import_annotations(
                     request=request,
                     rq_id="{}@/api/v1/jobs/{}/annotations/upload".format(request.user, pk),
-                    rq_func=annotation.load_job_data,
+                    rq_func=dm.task.import_job_annotations,
                     pk=pk,
+                    format_name=format_name
                 )
             else:
                 serializer = LabeledDataSerializer(data=request.data)
                 if serializer.is_valid(raise_exception=True):
                     try:
-                        data = annotation.put_job_data(pk, request.user, serializer.data)
+                        data = dm.task.put_job_data(pk, serializer.data)
                     except (AttributeError, IntegrityError) as e:
                         return Response(data=str(e), status=status.HTTP_400_BAD_REQUEST)
                     return Response(data)
         elif request.method == 'DELETE':
-            annotation.delete_job_data(pk, request.user)
+            dm.task.delete_job_data(pk)
             return Response(status=status.HTTP_204_NO_CONTENT)
         elif request.method == 'PATCH':
             action = self.request.query_params.get("action", None)
-            if action not in annotation.PatchAction.values():
+            if action not in dm.task.PatchAction.values():
                 raise serializers.ValidationError(
                     "Please specify a correct 'action' for the request")
             serializer = LabeledDataSerializer(data=request.data)
             if serializer.is_valid(raise_exception=True):
                 try:
-                    data = annotation.patch_job_data(pk, request.user,
-                        serializer.data, action)
+                    data = dm.task.patch_job_data(pk, serializer.data, action)
                 except (AttributeError, IntegrityError) as e:
                     return Response(data=str(e), status=status.HTTP_400_BAD_REQUEST)
                 return Response(data)
@@ -874,19 +788,17 @@ def rq_handler(job, exc_type, exc_value, tb):
 #         '201': openapi.Response(description='Annotations have been uploaded')},
 #     tags=['tasks'])
 # @api_view(['PUT'])
-def load_data_proxy(request, rq_id, rq_func, pk):
+def _import_annotations(request, rq_id, rq_func, pk, format_name):
     queue = django_rq.get_queue("default")
     rq_job = queue.fetch_job(rq_id)
-    upload_format = request.query_params.get("format", "")
 
     if not rq_job:
         serializer = AnnotationFileSerializer(data=request.data)
         if serializer.is_valid(raise_exception=True):
-            try:
-                db_parser = AnnotationLoader.objects.get(pk=upload_format)
-            except ObjectDoesNotExist:
+            if format_name not in \
+                    [f.DISPLAY_NAME for f in dm.views.get_import_formats()]:
                 raise serializers.ValidationError(
-                    "Please specify a correct 'format' parameter for the upload request")
+                    "Unknown input format '{}'".format(format_name))
 
             anno_file = serializer.validated_data['annotation_file']
             fd, filename = mkstemp(prefix='cvat_{}'.format(pk))
@@ -895,7 +807,7 @@ def load_data_proxy(request, rq_id, rq_func, pk):
                     f.write(chunk)
             rq_job = queue.enqueue_call(
                 func=rq_func,
-                args=(pk, request.user, filename, db_parser),
+                args=(pk, filename, format_name),
                 job_id=rq_id
             )
             rq_job.meta['tmp_file'] = filename
@@ -915,3 +827,60 @@ def load_data_proxy(request, rq_id, rq_func, pk):
             return Response(data=exc_info, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
 
     return Response(status=status.HTTP_202_ACCEPTED)
+
+def _export_annotations(db_task, rq_id, request, format_name, action, callback, filename):
+    if action not in {"", "download"}:
+        raise serializers.ValidationError(
+            "Unexpected action specified for the request")
+
+    if format_name not in [f.DISPLAY_NAME for f in dm.views.get_export_formats()]:
+        raise serializers.ValidationError(
+            "Unknown format specified for the request")
+
+    queue = django_rq.get_queue("default")
+
+    rq_job = queue.fetch_job(rq_id)
+    if rq_job:
+        last_task_update_time = timezone.localtime(db_task.updated_date)
+        request_time = rq_job.meta.get('request_time', None)
+        if request_time is None or request_time < last_task_update_time:
+            rq_job.cancel()
+            rq_job.delete()
+        else:
+            if rq_job.is_finished:
+                file_path = rq_job.return_value
+                if action == "download" and osp.exists(file_path):
+                    rq_job.delete()
+
+                    timestamp = datetime.strftime(last_task_update_time,
+                        "%Y_%m_%d_%H_%M_%S")
+                    filename = filename or \
+                        "task_{}-{}-{}{}".format(
+                        db_task.name, timestamp,
+                        format_name, osp.splitext(file_path)[1])
+                    return sendfile(request, file_path, attachment=True,
+                        attachment_filename=filename.lower())
+                else:
+                    if osp.exists(file_path):
+                        return Response(status=status.HTTP_201_CREATED)
+            elif rq_job.is_failed:
+                exc_info = str(rq_job.exc_info)
+                rq_job.delete()
+                return Response(exc_info,
+                    status=status.HTTP_500_INTERNAL_SERVER_ERROR)
+            else:
+                return Response(status=status.HTTP_202_ACCEPTED)
+
+    try:
+        if request.scheme:
+            server_address = request.scheme + '://'
+        server_address += request.get_host()
+    except Exception:
+        server_address = None
+
+    ttl = dm.views.CACHE_TTL.total_seconds()
+    queue.enqueue_call(func=callback,
+        args=(db_task.id, format_name, server_address), job_id=rq_id,
+        meta={ 'request_time': timezone.localtime() },
+        result_ttl=ttl, failure_ttl=ttl)
+    return Response(status=status.HTTP_202_ACCEPTED)
\ No newline at end of file
diff --git a/cvat/apps/git/git.py b/cvat/apps/git/git.py
index c6d8cae3e78..bb960a23bd7 100644
--- a/cvat/apps/git/git.py
+++ b/cvat/apps/git/git.py
@@ -2,28 +2,27 @@
 #
 # SPDX-License-Identifier: MIT
 
-from django.db import transaction
-from django.utils import timezone
-
-from cvat.apps.engine.log import slogger
-from cvat.apps.engine.models import Task, Job, User
-from cvat.apps.engine.annotation import dump_task_data
-from cvat.apps.engine.plugins import add_plugin
-from cvat.apps.git.models import GitStatusChoice
-from cvat.apps.annotation.models import AnnotationDumper
-
-from cvat.apps.git.models import GitData
-from collections import OrderedDict
-
-import subprocess
-import django_rq
 import datetime
-import shutil
 import json
 import math
-import git
 import os
 import re
+import shutil
+import subprocess
+from glob import glob
+from tempfile import TemporaryDirectory
+
+import django_rq
+import git
+from django.db import transaction
+from django.utils import timezone
+from pyunpack import Archive
+
+from cvat.apps.dataset_manager.task import export_task
+from cvat.apps.engine.log import slogger
+from cvat.apps.engine.models import Job, Task, User
+from cvat.apps.engine.plugins import add_plugin
+from cvat.apps.git.models import GitData, GitStatusChoice
 
 
 def _have_no_access_exception(ex):
@@ -267,25 +266,30 @@ def push(self, user, scheme, host, db_task, last_save):
 
         # Dump an annotation
         timestamp = datetime.datetime.now().strftime("%Y_%m_%d_%H_%M_%S")
-        display_name = "CVAT XML 1.1"
-        display_name += " for images" if self._task_mode == "annotation" else " for videos"
-        cvat_dumper = AnnotationDumper.objects.get(display_name=display_name)
+        if self._task_mode == "annotation":
+            format_name = "CVAT for images 1.1"
+        else:
+            format_name = "CVAT for video 1.1"
         dump_name = os.path.join(db_task.get_task_dirname(),
-            "git_annotation_{}.xml".format(timestamp))
-        dump_task_data(
-            pk=self._tid,
-            user=user,
-            filename=dump_name,
-            dumper=cvat_dumper,
-            scheme=scheme,
-            host=host,
+            "git_annotation_{}.zip".format(timestamp))
+        export_task(
+            task_id=self._tid,
+            dst_file=dump_name,
+            format_name=format_name,
+            server_url=scheme + host,
+            save_images=False,
         )
 
         ext = os.path.splitext(self._path)[1]
         if ext == '.zip':
-            subprocess.run(args=['7z', 'a', self._annotation_file, dump_name])
+            shutil.move(dump_name, self._annotation_file)
         elif ext == '.xml':
-            shutil.copyfile(dump_name, self._annotation_file)
+            with TemporaryDirectory() as tmp_dir:
+                # TODO: remove extra packing-unpacking
+                Archive(src_path).extractall(tmp_dir)
+                anno_paths = glob(osp.join(tmp_dir, '**', '*.xml'),
+                    recursive=True)
+                shutil.move(anno_paths[0], self._annotation_file)
         else:
             raise Exception("Got unknown annotation file type")
 
@@ -455,7 +459,7 @@ def update_states():
             slogger.glob("Exception occured during a status updating for db_git with tid: {}".format(db_git.task_id))
 
 @transaction.atomic
-def _onsave(jid, user, data, action):
+def _onsave(jid, data, action):
     db_task = Job.objects.select_related('segment__task').get(pk = jid).segment.task
     try:
         db_git = GitData.objects.select_for_update().get(pk = db_task.id)
@@ -493,18 +497,18 @@ def _onsave(jid, user, data, action):
     except GitData.DoesNotExist:
         pass
 
-def _ondump(tid, user, data_format, scheme, host, plugin_meta_data):
-    db_task = Task.objects.get(pk = tid)
-    try:
-        db_git = GitData.objects.get(pk = db_task)
-        plugin_meta_data['git'] = OrderedDict({
-            "url": db_git.url,
-            "path": db_git.path,
-        })
-    except GitData.DoesNotExist:
-        pass
-
 add_plugin("patch_job_data", _onsave, "after", exc_ok = False)
 
 # TODO: Append git repository into dump file
+# def _ondump(task_id, dst_file, format_name,
+#         server_url=None, save_images=False, plugin_meta_data):
+#     db_task = Task.objects.get(pk = tid)
+#     try:
+#         db_git = GitData.objects.get(pk = db_task)
+#         plugin_meta_data['git'] = OrderedDict({
+#             "url": db_git.url,
+#             "path": db_git.path,
+#         })
+#     except GitData.DoesNotExist:
+#         pass
 # add_plugin("_dump", _ondump, "before", exc_ok = False)
diff --git a/cvat/apps/tf_annotation/views.py b/cvat/apps/tf_annotation/views.py
index bac1cc608e0..1c321f14440 100644
--- a/cvat/apps/tf_annotation/views.py
+++ b/cvat/apps/tf_annotation/views.py
@@ -1,5 +1,5 @@
 
-# Copyright (C) 2018-2019 Intel Corporation
+# Copyright (C) 2018-2020 Intel Corporation
 #
 # SPDX-License-Identifier: MIT
 
@@ -7,9 +7,9 @@
 from rest_framework.decorators import api_view
 from rules.contrib.views import permission_required, objectgetter
 from cvat.apps.authentication.decorators import login_required
+from cvat.apps.dataset_manager.task import put_task_data
 from cvat.apps.engine.models import Task as TaskModel
 from cvat.apps.engine.serializers import LabeledDataSerializer
-from cvat.apps.engine.annotation import put_task_data
 from cvat.apps.engine.frame_provider import FrameProvider
 
 import django_rq
@@ -203,7 +203,7 @@ def create_thread(tid, labels_mapping, user):
         result = convert_to_cvat_format(result)
         serializer = LabeledDataSerializer(data = result)
         if serializer.is_valid(raise_exception=True):
-            put_task_data(tid, user, result)
+            put_task_data(tid, result)
         slogger.glob.info('tf annotation for task {} done'.format(tid))
     except Exception as ex:
         try:
diff --git a/cvat/settings/base.py b/cvat/settings/base.py
index 7f0513a1c2e..d330f6dd782 100644
--- a/cvat/settings/base.py
+++ b/cvat/settings/base.py
@@ -93,12 +93,11 @@ def generate_ssh_keys():
     'django.contrib.sessions',
     'django.contrib.messages',
     'django.contrib.staticfiles',
-    'cvat.apps.engine',
     'cvat.apps.authentication',
     'cvat.apps.documentation',
-    'cvat.apps.git',
     'cvat.apps.dataset_manager',
-    'cvat.apps.annotation',
+    'cvat.apps.engine',
+    'cvat.apps.git',
     'django_rq',
     'compressor',
     'cacheops',
diff --git a/datumaro/datumaro/cli/contexts/project/__init__.py b/datumaro/datumaro/cli/contexts/project/__init__.py
index a7ad670cd0b..4c443a2bfca 100644
--- a/datumaro/datumaro/cli/contexts/project/__init__.py
+++ b/datumaro/datumaro/cli/contexts/project/__init__.py
@@ -443,7 +443,6 @@ def extract_command(args):
     if not args.filter:
         raise CliException("Expected a filter expression ('-e' argument)")
 
-    os.makedirs(dst_dir, exist_ok=False)
     dataset.extract_project(save_dir=dst_dir, filter_expr=args.filter,
         **filter_args)
 
diff --git a/datumaro/datumaro/components/cli_plugin.py b/datumaro/datumaro/components/cli_plugin.py
index 08a7f3834cc..e85f5c4f303 100644
--- a/datumaro/datumaro/components/cli_plugin.py
+++ b/datumaro/datumaro/components/cli_plugin.py
@@ -6,6 +6,7 @@
 import argparse
 
 from datumaro.cli.util import MultilineFormatter
+from datumaro.util import to_snake_case
 
 
 class CliPlugin:
@@ -41,16 +42,3 @@ def remove_plugin_type(s):
     for t in {'transform', 'extractor', 'converter', 'launcher', 'importer'}:
         s = s.replace('_' + t, '')
     return s
-
-def to_snake_case(s):
-    if not s:
-        return ''
-
-    name = [s[0].lower()]
-    for char in s[1:]:
-        if char.isalpha() and char.isupper():
-            name.append('_')
-            name.append(char.lower())
-        else:
-            name.append(char)
-    return ''.join(name)
\ No newline at end of file
diff --git a/datumaro/datumaro/components/dataset_filter.py b/datumaro/datumaro/components/dataset_filter.py
index 2d01f23a7df..e9f10febda9 100644
--- a/datumaro/datumaro/components/dataset_filter.py
+++ b/datumaro/datumaro/components/dataset_filter.py
@@ -3,6 +3,7 @@
 #
 # SPDX-License-Identifier: MIT
 
+import logging as log
 from lxml import etree as ET # NOTE: lxml has proper XPath implementation
 from datumaro.components.extractor import (Transform,
     Annotation, AnnotationType,
@@ -210,7 +211,11 @@ def to_string(encoded_item):
 def XPathDatasetFilter(extractor, xpath=None):
     if xpath is None:
         return extractor
-    xpath = ET.XPath(xpath)
+    try:
+        xpath = ET.XPath(xpath)
+    except Exception:
+        log.error("Failed to create XPath from expression '%s'", xpath)
+        raise
     f = lambda item: bool(xpath(
         DatasetItemEncoder.encode(item, extractor.categories())))
     return extractor.select(f)
@@ -220,7 +225,11 @@ def __init__(self, extractor, xpath=None, remove_empty=False):
         super().__init__(extractor)
 
         if xpath is not None:
-            xpath = ET.XPath(xpath)
+            try:
+                xpath = ET.XPath(xpath)
+            except Exception:
+                log.error("Failed to create XPath from expression '%s'", xpath)
+                raise
         self._filter = xpath
 
         self._remove_empty = remove_empty
diff --git a/datumaro/datumaro/components/extractor.py b/datumaro/datumaro/components/extractor.py
index d88d7c4551a..37248d2a3c6 100644
--- a/datumaro/datumaro/components/extractor.py
+++ b/datumaro/datumaro/components/extractor.py
@@ -749,9 +749,7 @@ def __init__(self, length=None, subset=None):
         self._subset = subset
 
     def subsets(self):
-        if self._subset:
-            return [self._subset]
-        return None
+        return [self._subset]
 
     def get_subset(self, name):
         if name != self._subset:
diff --git a/datumaro/datumaro/components/project.py b/datumaro/datumaro/components/project.py
index 65f206e7bba..84d282c9bb7 100644
--- a/datumaro/datumaro/components/project.py
+++ b/datumaro/datumaro/components/project.py
@@ -498,7 +498,7 @@ def __init__(self, project):
                 if not categories[cat_type] == source_cat:
                     raise NotImplementedError(
                         "Merging different categories is not implemented yet")
-        if own_source is not None and len(own_source) != 0:
+        if own_source is not None and (not categories or len(own_source) != 0):
             categories.update(own_source.categories())
         self._categories = categories
 
diff --git a/datumaro/datumaro/plugins/cvat_format/converter.py b/datumaro/datumaro/plugins/cvat_format/converter.py
index 1d364184477..b8ef2269574 100644
--- a/datumaro/datumaro/plugins/cvat_format/converter.py
+++ b/datumaro/datumaro/plugins/cvat_format/converter.py
@@ -363,7 +363,7 @@ def convert(self):
 class CvatConverter(Converter, CliPlugin):
     @classmethod
     def build_cmdline_parser(cls, **kwargs):
-        parser = super().__init__(**kwargs)
+        parser = super().build_cmdline_parser(**kwargs)
         parser.add_argument('--save-images', action='store_true',
             help="Save images (default: %(default)s)")
         return parser
diff --git a/datumaro/datumaro/plugins/datumaro_format/converter.py b/datumaro/datumaro/plugins/datumaro_format/converter.py
index 08dc0062dd2..4ad786f19f8 100644
--- a/datumaro/datumaro/plugins/datumaro_format/converter.py
+++ b/datumaro/datumaro/plugins/datumaro_format/converter.py
@@ -286,3 +286,27 @@ def __init__(self, save_images=False):
     def __call__(self, extractor, save_dir):
         converter = _Converter(extractor, save_dir, **self._options)
         converter.convert()
+
+
+class DatumaroProjectConverter(Converter):
+    @classmethod
+    def build_cmdline_parser(cls, **kwargs):
+        parser = super().build_cmdline_parser(**kwargs)
+        parser.add_argument('--save-images', action='store_true',
+            help="Save images (default: %(default)s)")
+        return parser
+
+    def __init__(self, config=None, save_images=False):
+        self._config = config
+        self._save_images = save_images
+
+    def __call__(self, extractor, save_dir):
+        os.makedirs(save_dir, exist_ok=True)
+
+        from datumaro.components.project import Project
+        project = Project.generate(save_dir, config=self._config)
+
+        converter = project.env.make_converter('datumaro',
+            save_images=self._save_images)
+        converter(extractor, save_dir=osp.join(
+            project.config.project_dir, project.config.dataset_dir))
\ No newline at end of file
diff --git a/datumaro/datumaro/util/__init__.py b/datumaro/datumaro/util/__init__.py
index 7c36fe8efad..624284c208e 100644
--- a/datumaro/datumaro/util/__init__.py
+++ b/datumaro/datumaro/util/__init__.py
@@ -42,4 +42,21 @@ def cast(value, type_conv, default=None):
     try:
         return type_conv(value)
     except Exception:
-        return default
\ No newline at end of file
+        return default
+
+def to_snake_case(s):
+    if not s:
+        return ''
+
+    name = [s[0].lower()]
+    for idx, char in enumerate(s[1:]):
+        idx = idx + 1
+        if char.isalpha() and char.isupper():
+            prev_char = s[idx - 1]
+            if not (prev_char.isalpha() and prev_char.isupper()):
+                # avoid "HTML" -> "h_t_m_l"
+                name.append('_')
+            name.append(char.lower())
+        else:
+            name.append(char)
+    return ''.join(name)
\ No newline at end of file
diff --git a/datumaro/datumaro/util/image.py b/datumaro/datumaro/util/image.py
index 2d465f71a4c..3a7687a517e 100644
--- a/datumaro/datumaro/util/image.py
+++ b/datumaro/datumaro/util/image.py
@@ -45,20 +45,30 @@ def load_image(path):
         assert image.shape[2] in {3, 4}
     return image
 
-def save_image(path, image, params=None):
+def save_image(path, image, **kwargs):
+    if not kwargs:
+        kwargs = {}
+
     if _IMAGE_BACKEND == _IMAGE_BACKENDS.cv2:
         import cv2
+
+        params = []
+
         ext = path[-4:]
         if ext.upper() == '.JPG':
-            params = [ int(cv2.IMWRITE_JPEG_QUALITY), 75 ]
+            params = [
+                int(cv2.IMWRITE_JPEG_QUALITY), kwargs.get('jpeg_quality', 75)
+            ]
 
         image = image.astype(np.uint8)
         cv2.imwrite(path, image, params=params)
     elif _IMAGE_BACKEND == _IMAGE_BACKENDS.PIL:
         from PIL import Image
 
-        if not params:
-            params = {}
+        params = {}
+        params['quality'] = kwargs.get('jpeg_quality')
+        if kwargs.get('jpeg_quality') == 100:
+            params['subsampling'] = 0
 
         image = image.astype(np.uint8)
         if len(image.shape) == 3 and image.shape[2] in {3, 4}:
@@ -68,15 +78,22 @@ def save_image(path, image, params=None):
     else:
         raise NotImplementedError()
 
-def encode_image(image, ext, params=None):
+def encode_image(image, ext, **kwargs):
+    if not kwargs:
+        kwargs = {}
+
     if _IMAGE_BACKEND == _IMAGE_BACKENDS.cv2:
         import cv2
 
+        params = []
+
         if not ext.startswith('.'):
             ext = '.' + ext
 
         if ext.upper() == '.JPG':
-            params = [ int(cv2.IMWRITE_JPEG_QUALITY), 75 ]
+            params = [
+                int(cv2.IMWRITE_JPEG_QUALITY), kwargs.get('jpeg_quality', 75)
+            ]
 
         image = image.astype(np.uint8)
         success, result = cv2.imencode(ext, image, params=params)
@@ -89,8 +106,10 @@ def encode_image(image, ext, params=None):
         if ext.startswith('.'):
             ext = ext[1:]
 
-        if not params:
-            params = {}
+        params = {}
+        params['quality'] = kwargs.get('jpeg_quality')
+        if kwargs.get('jpeg_quality') == 100:
+            params['subsampling'] = 0
 
         image = image.astype(np.uint8)
         if len(image.shape) == 3 and image.shape[2] in {3, 4}:
@@ -176,9 +195,9 @@ def __init__(self, data=None, path=None, loader=None, cache=None,
             path = ''
         self._path = path
 
-        assert data is not None or path, "Image can not be empty"
-        if data is None and path:
-            if osp.isfile(path):
+        assert data is not None or path or loader, "Image can not be empty"
+        if data is None and (path or loader):
+            if osp.isfile(path) or loader:
                 data = lazy_image(path, loader=loader, cache=cache)
         self._data = data
 
diff --git a/datumaro/tests/test_image.py b/datumaro/tests/test_image.py
index efb7aea2969..bdb29438a0a 100644
--- a/datumaro/tests/test_image.py
+++ b/datumaro/tests/test_image.py
@@ -26,7 +26,7 @@ def test_save_and_load_backends(self):
                 path = osp.join(test_dir, 'img.png') # lossless
 
                 image_module._IMAGE_BACKEND = save_backend
-                image_module.save_image(path, src_image)
+                image_module.save_image(path, src_image, jpeg_quality=100)
 
                 image_module._IMAGE_BACKEND = load_backend
                 dst_image = image_module.load_image(path)
@@ -43,7 +43,8 @@ def test_encode_and_decode_backends(self):
                 src_image = np.random.randint(0, 255 + 1, (2, 4, c))
 
             image_module._IMAGE_BACKEND = save_backend
-            buffer = image_module.encode_image(src_image, '.png') # lossless
+            buffer = image_module.encode_image(src_image, '.png',
+                jpeg_quality=100) # lossless
 
             image_module._IMAGE_BACKEND = load_backend
             dst_image = image_module.decode_image(buffer)
diff --git a/datumaro/tests/test_images.py b/datumaro/tests/test_images.py
index e77d73d4fac..c8ae3274e98 100644
--- a/datumaro/tests/test_images.py
+++ b/datumaro/tests/test_images.py
@@ -55,8 +55,7 @@ def test_lazy_image_shape(self):
         self.assertEqual((2, 4), image_lazy.size)
         self.assertEqual((5, 6), image_eager.size)
 
-    @staticmethod
-    def test_ctors():
+    def test_ctors(self):
         with TestDir() as test_dir:
             path = osp.join(test_dir, 'path.png')
             image = np.ones([2, 4, 3])
@@ -69,11 +68,14 @@ def test_ctors():
                 { 'data': image, 'path': path, 'loader': load_image, 'size': (2, 4) },
                 { 'path': path },
                 { 'path': path, 'loader': load_image },
+                { 'path': 'somepath', 'loader': lambda p: image },
+                { 'loader': lambda p: image },
                 { 'path': path, 'size': (2, 4) },
             ]:
-                img = Image(**args)
-                # pylint: disable=pointless-statement
-                if img.has_data:
-                    img.data
-                img.size
-                # pylint: enable=pointless-statement
+                with self.subTest(**args):
+                    img = Image(**args)
+                    # pylint: disable=pointless-statement
+                    if img.has_data:
+                        img.data
+                    img.size
+                    # pylint: enable=pointless-statement
diff --git a/utils/cli/README.md b/utils/cli/README.md
index ee637aa6a07..07b708d7212 100644
--- a/utils/cli/README.md
+++ b/utils/cli/README.md
@@ -41,4 +41,4 @@ optional arguments:
 - Delete some tasks
 `cli.py delete 100 101 102`
 - Dump annotations
-`cli.py dump --format "CVAT XML 1.1 for images" 103 output.xml`
+`cli.py dump --format "CVAT for images 1.1" 103 output.xml`
diff --git a/utils/cli/cli.py b/utils/cli/cli.py
index f22bf81520c..ed749d7e331 100755
--- a/utils/cli/cli.py
+++ b/utils/cli/cli.py
@@ -29,7 +29,7 @@ def main():
     config_log(args.loglevel)
     with requests.Session() as session:
         session.auth = args.auth
-        api = CVAT_API_V1(args.server_host, args.server_port)
+        api = CVAT_API_V1('%s:%s' % (args.server_host, args.server_port))
         cli = CLI(session, api)
         try:
             actions[args.action](cli, **args.__dict__)
diff --git a/utils/cli/core/core.py b/utils/cli/core/core.py
index 4f8f847e7ba..b9ce5c0ff90 100644
--- a/utils/cli/core/core.py
+++ b/utils/cli/core/core.py
@@ -1,4 +1,7 @@
+# Copyright (C) 2020 Intel Corporation
+#
 # SPDX-License-Identifier: MIT
+
 import json
 import logging
 import os
@@ -145,8 +148,8 @@ def tasks_upload(self, task_id, fileformat, filename, **kwargs):
 class CVAT_API_V1():
     """ Build parameterized API URLs """
 
-    def __init__(self, host, port):
-        self.base = 'http://{}:{}/api/v1/'.format(host, port)
+    def __init__(self, host):
+        self.base = 'http://{}/api/v1/'.format(host)
 
     @property
     def tasks(self):
@@ -169,5 +172,5 @@ def tasks_id_annotations_format(self, task_id, fileformat):
             .format(fileformat)
 
     def tasks_id_annotations_filename(self, task_id, name, fileformat):
-        return self.tasks_id(task_id) + '/annotations/{}?format={}' \
-            .format(name, fileformat)
+        return self.tasks_id(task_id) + '/annotations?format={}&filename={}' \
+            .format(fileformat, name)
diff --git a/utils/cli/core/definition.py b/utils/cli/core/definition.py
index ed7719c3eb2..7f9eb2db971 100644
--- a/utils/cli/core/definition.py
+++ b/utils/cli/core/definition.py
@@ -212,7 +212,7 @@ def argparse(s):
     '--format',
     dest='fileformat',
     type=str,
-    default='CVAT XML 1.1 for images',
+    default='CVAT for images 1.1',
     help='annotation format (default: %(default)s)'
 )
 
@@ -238,6 +238,6 @@ def argparse(s):
     '--format',
     dest='fileformat',
     type=str,
-    default='CVAT XML 1.1',
+    default='CVAT 1.1',
     help='annotation format (default: %(default)s)'
 )
diff --git a/utils/cli/tests/test_cli.py b/utils/cli/tests/_test_cli.py
similarity index 93%
rename from utils/cli/tests/test_cli.py
rename to utils/cli/tests/_test_cli.py
index 957093ccf48..510b1ccc8c1 100644
--- a/utils/cli/tests/test_cli.py
+++ b/utils/cli/tests/_test_cli.py
@@ -1,25 +1,29 @@
+# Copyright (C) 2020 Intel Corporation
+#
 # SPDX-License-Identifier: MIT
-import logging
+
 import io
+import logging
 import os
 import sys
 import unittest
+
 from django.conf import settings
+from PIL import Image
 from requests.auth import HTTPBasicAuth
-from utils.cli.core import CLI, CVAT_API_V1, ResourceType
 from rest_framework.test import APITestCase, RequestsClient
-from cvat.apps.engine.tests.test_rest_api import create_db_users
-from cvat.apps.engine.tests.test_rest_api import generate_image_file
-from PIL import Image
 
+from cvat.apps.engine.tests._test_rest_api import (create_db_users,
+    generate_image_file)
+from utils.cli.core import CLI, CVAT_API_V1, ResourceType
 
-class TestCLI(APITestCase):
 
+class TestCLI(APITestCase):
     @unittest.mock.patch('sys.stdout', new_callable=io.StringIO)
     def setUp(self, mock_stdout):
         self.client = RequestsClient()
         self.client.auth = HTTPBasicAuth('admin', 'admin')
-        self.api = CVAT_API_V1('testserver', '')
+        self.api = CVAT_API_V1('testserver')
         self.cli = CLI(self.client, self.api)
         self.taskname = 'test_task'
         self.cli.tasks_create(self.taskname,
@@ -61,7 +65,7 @@ def test_tasks_delete(self):
 
     def test_tasks_dump(self):
         path = os.path.join(settings.SHARE_ROOT, 'test_cli.xml')
-        self.cli.tasks_dump(1, 'CVAT XML 1.1 for images', path)
+        self.cli.tasks_dump(1, 'CVAT for images 1.1', path)
         self.assertTrue(os.path.exists(path))
         os.remove(path)
 
@@ -132,6 +136,6 @@ def generate_coco_anno():
         path = os.path.join(settings.SHARE_ROOT, 'test_cli.json')
         with open(path, "wb") as coco:
             coco.write(content)
-        self.cli.tasks_upload(1, 'COCO JSON 1.0', path)
+        self.cli.tasks_upload(1, 'COCO 1.0', path)
         self.assertRegex(self.mock_stdout.getvalue(), '.*{}.*'.format("annotation file"))
         os.remove(path)

From 214eeada7dc77793f4a738a77fe81e3c212ac4d1 Mon Sep 17 00:00:00 2001
From: zhiltsov-max <zhiltsov.max35@gmail.com>
Date: Wed, 13 May 2020 22:22:17 +0300
Subject: [PATCH 3/4] Fix coverage measurement (#1516)

---
 .coveragerc   |  3 ++-
 .travis.yml   | 16 +++++-----------
 Dockerfile.ci | 10 ++++++++--
 3 files changed, 15 insertions(+), 14 deletions(-)

diff --git a/.coveragerc b/.coveragerc
index 7804da58abc..f174f8461b3 100644
--- a/.coveragerc
+++ b/.coveragerc
@@ -1,5 +1,6 @@
 [run]
 branch = true
+# relative_files = true # does not work?
 
 source =
     datumaro/datumaro/
@@ -36,4 +37,4 @@ exclude_lines =
 # don't fail on the code that can be found
 ignore_errors = true
 
-skip_empty = true
\ No newline at end of file
+skip_empty = true
diff --git a/.travis.yml b/.travis.yml
index 3a2118d95ea..a8715db3d1e 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -10,23 +10,17 @@ services:
 
 env:
   - CONTAINER_COVERAGE_DATA_DIR="/coverage_data"
-    HOST_COVERAGE_DATA_DIR="${TRAVIS_BUILD_DIR}/coverage_data"
-
-install:
-  - gem install coveralls-lcov
-  - pip install coveralls
+    HOST_COVERAGE_DATA_DIR="${TRAVIS_BUILD_DIR}"
 
 before_script:
   - docker-compose -f docker-compose.yml -f docker-compose.ci.yml build
-  - mkdir -m a=rwx -p ${HOST_COVERAGE_DATA_DIR}
+  - chmod a+rwx ${HOST_COVERAGE_DATA_DIR}
 
 script:
-  # FIXME: Git package and application name conflict in PATH
+  # FIXME: Git package and application name conflict in PATH and try to leave only one python test execution
   - docker-compose -f docker-compose.yml -f docker-compose.ci.yml run cvat_ci /bin/bash -c 'coverage run -a manage.py test cvat/apps && coverage run -a manage.py test --pattern="_test*.py" cvat/apps/dataset_manager/tests cvat/apps/engine/tests utils/cli && coverage run -a manage.py test datumaro/ && mv .coverage ${CONTAINER_COVERAGE_DATA_DIR}'
-  - docker-compose -f docker-compose.yml -f docker-compose.ci.yml run cvat_ci /bin/bash -c 'cd cvat-data && npm install && cd ../cvat-core && npm install && npm run test && mv ./reports/coverage/lcov.info ${CONTAINER_COVERAGE_DATA_DIR}'
+  - docker-compose -f docker-compose.yml -f docker-compose.ci.yml run cvat_ci /bin/bash -c 'cd cvat-data && npm install && cd ../cvat-core && npm install && npm run test && coveralls-lcov -v -n ./reports/coverage/lcov.info > ${CONTAINER_COVERAGE_DATA_DIR}/coverage.json'
 
 after_success:
   # https://coveralls-python.readthedocs.io/en/latest/usage/multilang.html
-  - mv ${HOST_COVERAGE_DATA_DIR}/* .
-  - coveralls-lcov -v -n lcov.info > coverage.json
-  - coveralls --merge=coverage.json
+  - docker-compose -f docker-compose.yml -f docker-compose.ci.yml run cvat_ci /bin/bash -c 'ln -s ${CONTAINER_COVERAGE_DATA_DIR}/.git . && ln -s ${CONTAINER_COVERAGE_DATA_DIR}/.coverage . && ln -s ${CONTAINER_COVERAGE_DATA_DIR}/coverage.json . && coveralls --merge=coverage.json'
diff --git a/Dockerfile.ci b/Dockerfile.ci
index e53839a307a..809c1d785d1 100644
--- a/Dockerfile.ci
+++ b/Dockerfile.ci
@@ -12,10 +12,16 @@ RUN curl https://dl-ssl.google.com/linux/linux_signing_key.pub | apt-key add - &
         build-essential \
         google-chrome-stable \
         nodejs \
-        python3-dev && \
+        python3-dev \
+        ruby \
+        && \
     rm -rf /var/lib/apt/lists/*;
 
-RUN python3 -m pip install --no-cache-dir -r /tmp/requirements/${DJANGO_CONFIGURATION}.txt
+RUN python3 -m pip install --no-cache-dir -r /tmp/requirements/${DJANGO_CONFIGURATION}.txt && \
+    python3 -m pip install --no-cache-dir coveralls
+RUN gem install coveralls-lcov
+
+COPY .coveragerc .
 
 # RUN all commands below as 'django' user
 USER ${USER}

From 3caae98b5b70081dff08ee07b3e46aae1ee90bcf Mon Sep 17 00:00:00 2001
From: Andrey Zhavoronkov <41117609+azhavoro@users.noreply.github.com>
Date: Wed, 13 May 2020 22:23:53 +0300
Subject: [PATCH 4/4] fixed linter issues and store credentials cookie in the
 session object (#1526)

* fixed issues

* fixed issues and stored credentials cookies inside the session

* fixed tests
---
 utils/auto_annotation/run_model.py | 20 ++++++++++----------
 utils/cli/cli.py                   |  3 +--
 utils/cli/core/core.py             | 15 ++++++++++++++-
 utils/cli/tests/_test_cli.py       |  5 ++---
 4 files changed, 27 insertions(+), 16 deletions(-)

diff --git a/utils/auto_annotation/run_model.py b/utils/auto_annotation/run_model.py
index 111141fbc9c..9df63528ed4 100644
--- a/utils/auto_annotation/run_model.py
+++ b/utils/auto_annotation/run_model.py
@@ -36,9 +36,13 @@ def _get_kwargs():
     parser.add_argument('--show-image-delay', default=0, type=int, help='Displays the images for a set duration in milliseconds, default is until a key is pressed')
     parser.add_argument('--serialize', default=False, action='store_true', help='Try to serialize the result')
     parser.add_argument('--show-labels', action='store_true', help='Show the labels on the window')
-    
+
     return vars(parser.parse_args())
 
+def _init_django(settings):
+    import django
+    os.environ['DJANGO_SETTINGS_MODULE'] = settings
+    django.setup()
 
 def random_color():
     rgbl=[255,0,0]
@@ -63,10 +67,7 @@ def find_min_y(array):
     return array[index]
 
 def _get_docker_files(model_name: str, task_id: int):
-    os.environ['DJANGO_SETTINGS_MODULE'] = 'cvat.settings.development'
-
-    import django
-    django.setup()
+    _init_django('cvat.settings.development')
 
     from cvat.apps.auto_annotation.models import AnnotationModel
     from cvat.apps.engine.models import Task as TaskModel
@@ -74,7 +75,7 @@ def _get_docker_files(model_name: str, task_id: int):
     task = TaskModel(pk=task_id)
     model = AnnotationModel.objects.get(name=model_name)
 
-    images_dir = task.get_data_dirname()
+    images_dir = task.data.get_data_dirname()
 
     py_file = model.interpretation_file.name
     mapping_file = model.labelmap_file.name
@@ -82,6 +83,7 @@ def _get_docker_files(model_name: str, task_id: int):
     bin_file = model.weights_file.name
 
     image_files = []
+    images_dir = os.path.abspath(images_dir)
     for root, _, filenames in os.walk(images_dir):
         for filename in fnmatch.filter(filenames, '*.jpg'):
             image_files.append(os.path.join(root, filename))
@@ -94,7 +96,7 @@ def main():
 
     py_file = kwargs.get('py')
     bin_file = kwargs.get('bin')
-    mapping_file = kwargs.get('json')
+    mapping_file = os.path.abspath(kwargs.get('json'))
     xml_file = kwargs.get('xml')
 
     model_name = kwargs.get('model_name')
@@ -233,9 +235,7 @@ def main():
             cv2.destroyWindow(str(index))
 
     if kwargs['serialize']:
-        os.environ['DJANGO_SETTINGS_MODULE'] = 'cvat.settings.production'
-        import django
-        django.setup()
+        _init_django('cvat.settings.production')
 
         from cvat.apps.engine.serializers import LabeledDataSerializer
 
diff --git a/utils/cli/cli.py b/utils/cli/cli.py
index ed749d7e331..9ac826b4bff 100755
--- a/utils/cli/cli.py
+++ b/utils/cli/cli.py
@@ -28,9 +28,8 @@ def main():
     args = parser.parse_args()
     config_log(args.loglevel)
     with requests.Session() as session:
-        session.auth = args.auth
         api = CVAT_API_V1('%s:%s' % (args.server_host, args.server_port))
-        cli = CLI(session, api)
+        cli = CLI(session, api, args.auth)
         try:
             actions[args.action](cli, **args.__dict__)
         except (requests.exceptions.HTTPError,
diff --git a/utils/cli/core/core.py b/utils/cli/core/core.py
index b9ce5c0ff90..f684608ea91 100644
--- a/utils/cli/core/core.py
+++ b/utils/cli/core/core.py
@@ -17,9 +17,10 @@
 
 class CLI():
 
-    def __init__(self, session, api):
+    def __init__(self, session, api, credentials):
         self.api = api
         self.session = session
+        self.login(credentials)
 
     def tasks_data(self, task_id, resource_type, resources):
         """ Add local, remote, or shared files to an existing task. """
@@ -144,6 +145,14 @@ def tasks_upload(self, task_id, fileformat, filename, **kwargs):
             "with annotation file {} finished".format(filename)
         log.info(logger_string)
 
+    def login(self, credentials):
+        url = self.api.login
+        auth = {'username': credentials[0], 'password': credentials[1]}
+        response = self.session.post(url, auth)
+        response.raise_for_status()
+        if 'csrftoken' in response.cookies:
+            self.session.headers['X-CSRFToken'] = response.cookies['csrftoken']
+
 
 class CVAT_API_V1():
     """ Build parameterized API URLs """
@@ -174,3 +183,7 @@ def tasks_id_annotations_format(self, task_id, fileformat):
     def tasks_id_annotations_filename(self, task_id, name, fileformat):
         return self.tasks_id(task_id) + '/annotations?format={}&filename={}' \
             .format(fileformat, name)
+
+    @property
+    def login(self):
+        return self.base + 'auth/login'
diff --git a/utils/cli/tests/_test_cli.py b/utils/cli/tests/_test_cli.py
index 510b1ccc8c1..3977159cc65 100644
--- a/utils/cli/tests/_test_cli.py
+++ b/utils/cli/tests/_test_cli.py
@@ -10,7 +10,6 @@
 
 from django.conf import settings
 from PIL import Image
-from requests.auth import HTTPBasicAuth
 from rest_framework.test import APITestCase, RequestsClient
 
 from cvat.apps.engine.tests._test_rest_api import (create_db_users,
@@ -22,9 +21,9 @@ class TestCLI(APITestCase):
     @unittest.mock.patch('sys.stdout', new_callable=io.StringIO)
     def setUp(self, mock_stdout):
         self.client = RequestsClient()
-        self.client.auth = HTTPBasicAuth('admin', 'admin')
+        self.credentials = ('admin', 'admin')
         self.api = CVAT_API_V1('testserver')
-        self.cli = CLI(self.client, self.api)
+        self.cli = CLI(self.client, self.api, self.credentials)
         self.taskname = 'test_task'
         self.cli.tasks_create(self.taskname,
                               [{'name' : 'car'}, {'name': 'person'}],