v0.6.7 Released

• Fixed concurrency issue at upload time. Uploading files should now be more reliable.
• Fixed a bug that made it impossible to map annotation files to images and videos when pulling datasets, if annotation file stems ended with spaces.

v0.6.6 Released

• added support to importation for existing skeleton classes
• doesn't install test libraries by default
• sets sequence number for coco video export
• aligns darwin and coco bounding box extraction

v0.6.5 Released

• Create annotation classes with sub annotations
• Enable custom number of threads for uploading
• Fix bug with setup.py failing when certain libraries wheren't installed
• Improved documentation

v0.6.4 Released

Fixes issue with adding an existing team annotation class to a dataset

v0.6.3 Released

Fixes for importing annotations (and creating new classes).

v0.6.2 Released

• Fixes issues with : _ and - in dataset export names.
• Fixes issues with floats in pascal voc files
• Detects if darwin-py version is out of date and warns.
• Fixes issues with downloading images with invalid names for windows.

v0.6.1 Released

Fix: allow underscore _ characters in slugs

v0.6.0 Released

New Upload API

We supercharged our upload API, so it's much easier to do more with your data at upload time.

Specify remote paths, tags, and other metadata for each individual uploading file

# Define each individual uploading file, with their own paths and tags
animal_files = [
    LocalFile(DATA_DIRECTORY / "cat_1.jpg", path="cats", tags=["shorthair"]),
    LocalFile(DATA_DIRECTORY / "cat_2.jpg", path="cats", tags=["ragdoll"]),
    LocalFile(DATA_DIRECTORY / "cat_3.jpg", path="cats", tags=["persian"]),
    LocalFile(DATA_DIRECTORY / "cat_4.jpg", path="cats", tags=["sphynx"]),
    LocalFile(DATA_DIRECTORY / "cat_5.jpg", path="cats", tags=["unknown"]),
    LocalFile(DATA_DIRECTORY / "dog_1.jpg", path="dogs", tags=["labrador"]),
    LocalFile(DATA_DIRECTORY / "dog_2.jpg", path="dogs", tags=["unknown"]),
    LocalFile(DATA_DIRECTORY / "dog_3.jpg", path="dogs", tags=["german-shepherd"]),
    LocalFile(DATA_DIRECTORY / "dog_4.jpg", path="dogs", tags=["beagle"]),
    LocalFile(DATA_DIRECTORY / "dog_5.jpg", path="dogs", tags=["bulldog"])
]

# Use your RemoteDataset object to push those files
dataset.push(animal_files)

Upload entire folders by keeping the tree structure intact on Darwin

dataset.push("/path/to/folder", preserve_folders=True)

The same can be done via the CLI!

darwin dataset push team/dataset /path/to/folder --preserve-folders

Only upload files if they're not already represented in the Dataset

At upload time, you will be warned if some of your files have been previously uploaded in the specified path.

$ ~/Downloads darwin dataset push team/dataset /path/to/images

Total progress ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23 of 23

Skipped 2 files already in the dataset.

Sort files when listing them

We made it easy to sort files by inserted_at, updated_at, file_size, filename and priority. Of course, you can specify if you'd like to sort in ascending or descending order, all in the same argument.

dataset.fetch_remote_files(sort="priority:desc")

The same can be done via the CLI!

darwin dataset files team/dataset --sort-by priority:desc

Note that the default sorting argument is set to updated_at:desc.

Miscellaneous

• We now use Rich to render every message, progress bar, error or table in the CLI
• Specify callbacks to be called at upload time to manage progress
• Get clear error messages if the uploaded files fail at any stage of the upload process

v0.5.20 Released

• fixed issue with file name matching on imports

v0.5.19 Released

• Remove mandatory dependency on scikit-learn
• Make it possible to split video annotations into single frame annotations