Fix: Can't dump annotations with objects type is track from several jobs

CHANGELOG.md

@@ -74,6 +74,7 @@ non-ascii paths while adding files from "Connected file share" (issue #4428)
 - Added "type" field for all the labels, allows to reduce number of controls on annotation view (<https://github.com/opencv/cvat/pull/5273>)
 - Occluded not applied on canvas instantly for a skeleton elements (<https://github.com/opencv/cvat/pull/5259>)
 - Oriented bounding boxes broken with COCO format ss(<https://github.com/opencv/cvat/pull/5219>)
+- Can't dump annotations with objects type is track from several jobs (<https://github.com/opencv/cvat/pull/5250>)
 - Fixed upload resumption in production environments
   (<https://github.com/opencv/cvat/issues/4839>)
 - Fixed job exporting (<https://github.com/opencv/cvat/pull/5282>)

cvat/apps/dataset_manager/annotation.py

@@ -105,7 +105,7 @@ def filter_track_shapes(shapes):
             if scoped_shapes:
                 if not scoped_shapes[0]['keyframe']:
                     segment_shapes.insert(0, scoped_shapes[0])
-                if not scoped_shapes[-1]['keyframe'] and \
+                if scoped_shapes[-1]['keyframe'] and \
                         scoped_shapes[-1]['outside']:
                     segment_shapes.append(scoped_shapes[-1])
                 elif stop + 1 < len(interpolated_shapes) and \
@@ -737,11 +737,18 @@ def interpolate(shape0, shape1):
             return shapes
 
         shapes = []
-        curr_frame = track["shapes"][0]["frame"]
         prev_shape = {}
-        for shape in track["shapes"]:
+        for shape in sorted(track["shapes"], key=lambda shape: shape["frame"]):
+            curr_frame = shape["frame"]
+            if end_frame <= curr_frame:
+                if not prev_shape:
+                    shape["keyframe"] = True
+                    shapes.append(shape)
+                    prev_shape = shape
+                break
+
             if prev_shape:
-                assert shape["frame"] > curr_frame
+                assert shape["frame"] > prev_shape["frame"]
                 for attr in prev_shape["attributes"]:
                     if attr["spec_id"] not in map(lambda el: el["spec_id"], shape["attributes"]):
                         shape["attributes"].append(deepcopy(attr))
@@ -750,13 +757,8 @@ def interpolate(shape0, shape1):
 
             shape["keyframe"] = True
             shapes.append(shape)
-            curr_frame = shape["frame"]
             prev_shape = shape
 
-            # keep at least 1 shape
-            if end_frame <= curr_frame:
-                break
-
         if not prev_shape["outside"]:
             shape = deepcopy(prev_shape)
             shape["frame"] = end_frame

cvat/apps/dataset_manager/tests/test_rest_api_formats.py

@@ -785,39 +785,41 @@ def test_api_v2_dump_upload_annotations_from_several_jobs(self):
             with open(file_zip_name, 'rb') as binary_file:
                 self._upload_file(url, binary_file, self.admin)
 
-    def test_api_v2_dump_annotations_with_objects_type_is_shape_from_several_jobs(self):
+    def test_api_v2_dump_annotations_from_several_jobs(self):
         test_name = self._testMethodName
-        dump_format_name = "CVAT for images 1.1"
+        dump_formats = ["CVAT for images 1.1", "CVAT for video 1.1"]
         test_cases = ['all', 'first']
 
-        images = self._generate_task_images(10)
-        task = self._create_task(tasks["change overlap and segment size"], images)
-        task_id = task["id"]
+        for dump_format_name in dump_formats:
 
-        for test_case in test_cases:
-            with TestDir() as test_dir:
-                jobs = self._get_jobs(task_id)
-                if test_case == "all":
-                    for job in jobs:
-                        self._create_annotations_in_job(task, job["id"], dump_format_name, "default")
-                else:
-                    self._create_annotations_in_job(task, jobs[0]["id"], dump_format_name, "default")
+            images = self._generate_task_images(10)
+            task = self._create_task(tasks["change overlap and segment size"], images)
+            task_id = task["id"]
 
-                url = self._generate_url_dump_tasks_annotations(task_id)
+            for test_case in test_cases:
+                with TestDir() as test_dir:
+                    jobs = self._get_jobs(task_id)
+                    if test_case == "all":
+                        for job in jobs:
+                            self._create_annotations_in_job(task, job["id"], dump_format_name, "default")
+                    else:
+                        self._create_annotations_in_job(task, jobs[0]["id"], dump_format_name, "default")
 
-                file_zip_name = osp.join(test_dir, f'{test_name}.zip')
-                data = {
-                    "format": dump_format_name,
-                    "action": "download",
-                }
-                self._download_file(url, data, self.admin, file_zip_name)
-                self.assertEqual(osp.exists(file_zip_name), True)
+                    url = self._generate_url_dump_tasks_annotations(task_id)
 
-                # remove annotations
-                self._remove_annotations(url, self.admin)
-                url = self._generate_url_upload_tasks_annotations(task_id, "CVAT 1.1")
-                with open(file_zip_name, 'rb') as binary_file:
-                    self._upload_file(url, binary_file, self.admin)
+                    file_zip_name = osp.join(test_dir, f'{test_name}.zip')
+                    data = {
+                        "format": dump_format_name,
+                        "action": "download",
+                    }
+                    self._download_file(url, data, self.admin, file_zip_name)
+                    self.assertEqual(osp.exists(file_zip_name), True)
+
+                    # remove annotations
+                    self._remove_annotations(url, self.admin)
+                    url = self._generate_url_upload_tasks_annotations(task_id, "CVAT 1.1")
+                    with open(file_zip_name, 'rb') as binary_file:
+                        self._upload_file(url, binary_file, self.admin)
 
     def test_api_v2_export_dataset(self):
         test_name = self._testMethodName