Fix skeleton tracks (#6075)

Currently, we don't have validation of incoming annotations, as a
result, there is exist some cases when annotations successfully saved in
DB, but it's impossible to export them. In order to successfully export
a dataset with a skeleton track it's required that each track satisfy
the following condition:
` {frame number of track} == {frame number of parent track} == {frame
number of the first shape of the track}`

This PR adds an additional step during saving annotation in DB. This
additional step check that all these there "frame numbers" are equal and
try to automatically fix it's not true.

.github/workflows/helm.yml

@@ -82,4 +82,4 @@ jobs:
       # They are still tested without Helm
       run: |
         kubectl cp tests/mounted_file_share/images $(kubectl get pods -l component=server -o jsonpath='{.items[0].metadata.name}'):/home/django/share
-        pytest --timeout 30 --platform=kube -m "not with_external_services" tests/python
+        pytest --timeout 30 --platform=kube -m "not with_external_services" tests/python --log-cli-level DEBUG

CHANGELOG.md

@@ -28,6 +28,7 @@ without use_cache option (<https://github.com/opencv/cvat/pull/6074>)
 
 ### Fixed
 - Skeletons dumping on created tasks/projects (<https://github.com/opencv/cvat/pull/6157>)
+- Fix saving annotations for skeleton tracks (<https://github.com/opencv/cvat/pull/6075>)
 
 ### Security
 - TDB

cvat/apps/dataset_manager/task.py

@@ -3,21 +3,23 @@
 #
 # SPDX-License-Identifier: MIT
 
+import os
 from collections import OrderedDict
+from copy import deepcopy
 from enum import Enum
-import os
 from tempfile import TemporaryDirectory
 
 from django.db import transaction
 from django.db.models.query import Prefetch
 from django.utils import timezone
+from rest_framework.exceptions import ValidationError
 
 from cvat.apps.engine import models, serializers
 from cvat.apps.engine.plugins import plugin_decorator
 from cvat.apps.profiler import silk_profile
 
 from .annotation import AnnotationIR, AnnotationManager
-from .bindings import TaskData, JobData
+from .bindings import JobData, TaskData
 from .formats.registry import make_exporter, make_importer
 from .util import bulk_create
 
@@ -115,47 +117,108 @@ class JobAnnotation:
     def reset(self):
         self.ir_data.reset()
 
+    def _validate_attribute_for_existence(self, db_attr_val, label_id, attr_type):
+        if db_attr_val.spec_id not in self.db_attributes[label_id][attr_type]:
+            raise ValidationError("spec_id `{}` is invalid".format(db_attr_val.spec_id))
+
+    def _validate_label_for_existence(self, label_id):
+        if label_id not in self.db_labels:
+            raise ValidationError("label_id `{}` is invalid".format(label_id))
+
+    def _add_missing_shape(self, track, first_shape):
+        if first_shape["type"] == "skeleton":
+            # in case with skeleton track we always expect to see one shape in track
+            first_shape["frame"] = track["frame"]
+        else:
+            missing_shape = deepcopy(first_shape)
+            missing_shape["frame"] = track["frame"]
+            missing_shape["outside"] = True
+            track["shapes"].append(missing_shape)
+
+    def _correct_frame_of_tracked_shapes(self, track):
+        shapes = sorted(track["shapes"], key=lambda a: a["frame"])
+        first_shape = shapes[0] if shapes else None
+
+        if first_shape and track["frame"] < first_shape["frame"]:
+            self._add_missing_shape(track, first_shape)
+        elif first_shape and first_shape["frame"] < track["frame"]:
+            track["frame"] = first_shape["frame"]
+
+    def _sync_frames(self, tracks, parent_track):
+        if not tracks:
+            return
+
+        min_frame = tracks[0]["frame"]
+
+        for track in tracks:
+            if parent_track and parent_track.frame < track["frame"]:
+                track["frame"] = parent_track.frame
+
+            # track and its first shape must have the same frame
+            self._correct_frame_of_tracked_shapes(track)
+
+            if track["frame"] < min_frame:
+                min_frame = track["frame"]
+
+        if not parent_track:
+            return
+
+        if min_frame < parent_track.frame:
+            # parent track cannot have a frame greater than the frame of the child track
+            parent_tracked_shape = parent_track.trackedshape_set.first()
+            parent_track.frame = min_frame
+            parent_tracked_shape.frame = min_frame
+
+            parent_tracked_shape.save()
+            parent_track.save()
+
+            for track in tracks:
+                if parent_track.frame < track["frame"]:
+                    track["frame"] = parent_track.frame
+
+                    self._correct_frame_of_tracked_shapes(track)
+
     def _save_tracks_to_db(self, tracks):
 
         def create_tracks(tracks, parent_track=None):
             db_tracks = []
-            db_track_attrvals = []
+            db_track_attr_vals = []
             db_shapes = []
-            db_shape_attrvals = []
+            db_shape_attr_vals = []
+
+            self._sync_frames(tracks, parent_track)
 
             for track in tracks:
                 track_attributes = track.pop("attributes", [])
                 shapes = track.pop("shapes")
                 elements = track.pop("elements", [])
                 db_track = models.LabeledTrack(job=self.db_job, parent=parent_track, **track)
-                if db_track.label_id not in self.db_labels:
-                    raise AttributeError("label_id `{}` is invalid".format(db_track.label_id))
+
+                self._validate_label_for_existence(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)
+                    db_attr_val = models.LabeledTrackAttributeVal(**attr, track_id=len(db_tracks))
+
+                    self._validate_attribute_for_existence(db_attr_val, db_track.label_id, "immutable")
 
-                for shape in shapes:
+                    db_track_attr_vals.append(db_attr_val)
+
+                for shape_idx, shape in enumerate(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)
+                    db_shape = models.TrackedShape(**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_attr_val = models.TrackedShapeAttributeVal(**attr, shape_id=len(db_shapes))
+
+                        self._validate_attribute_for_existence(db_attr_val, db_track.label_id, "mutable")
+
+                        db_shape_attr_vals.append(db_attr_val)
 
                     db_shapes.append(db_shape)
                     shape["attributes"] = shape_attributes
 
                 db_tracks.append(db_track)
+
                 track["attributes"] = track_attributes
                 track["shapes"] = shapes
                 if elements or parent_track is None:
@@ -167,11 +230,12 @@ class JobAnnotation:
                 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
+            for db_attr_val in db_track_attr_vals:
+                db_attr_val.track_id = db_tracks[db_attr_val.track_id].id
+
             bulk_create(
                 db_model=models.LabeledTrackAttributeVal,
-                objects=db_track_attrvals,
+                objects=db_track_attr_vals,
                 flt_param={}
             )
 
@@ -184,12 +248,12 @@ class JobAnnotation:
                 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
+            for db_attr_val in db_shape_attr_vals:
+                db_attr_val.shape_id = db_shapes[db_attr_val.shape_id].id
 
             bulk_create(
                 db_model=models.TrackedShapeAttributeVal,
-                objects=db_shape_attrvals,
+                objects=db_shape_attr_vals,
                 flt_param={}
             )
 
@@ -208,7 +272,7 @@ class JobAnnotation:
     def _save_shapes_to_db(self, shapes):
         def create_shapes(shapes, parent_shape=None):
             db_shapes = []
-            db_attrvals = []
+            db_attr_vals = []
 
             for shape in shapes:
                 attributes = shape.pop("attributes", [])
@@ -216,16 +280,15 @@ class JobAnnotation:
                 # 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, parent=parent_shape, **shape)
-                if db_shape.label_id not in self.db_labels:
-                    raise AttributeError("label_id `{}` is invalid".format(db_shape.label_id))
+
+                self._validate_label_for_existence(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_attr_val = models.LabeledShapeAttributeVal(**attr, shape_id=len(db_shapes))
 
-                    db_attrval.shape_id = len(db_shapes)
-                    db_attrvals.append(db_attrval)
+                    self._validate_attribute_for_existence(db_attr_val, db_shape.label_id, "all")
+
+                    db_attr_vals.append(db_attr_val)
 
                 db_shapes.append(db_shape)
                 shape["attributes"] = attributes
@@ -238,12 +301,12 @@ class JobAnnotation:
                 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
+            for db_attr_val in db_attr_vals:
+                db_attr_val.shape_id = db_shapes[db_attr_val.shape_id].id
 
             bulk_create(
                 db_model=models.LabeledShapeAttributeVal,
-                objects=db_attrvals,
+                objects=db_attr_vals,
                 flt_param={}
             )
 
@@ -257,20 +320,21 @@ class JobAnnotation:
 
     def _save_tags_to_db(self, tags):
         db_tags = []
-        db_attrvals = []
+        db_attr_vals = []
 
         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))
+
+            self._validate_label_for_existence(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_attr_val = models.LabeledImageAttributeVal(**attr)
+
+                self._validate_attribute_for_existence(db_attr_val, db_tag.label_id, "all")
+
+                db_attr_val.tag_id = len(db_tags)
+                db_attr_vals.append(db_attr_val)
 
             db_tags.append(db_tag)
             tag["attributes"] = attributes
@@ -281,12 +345,12 @@ class JobAnnotation:
             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
+        for db_attr_val in db_attr_vals:
+            db_attr_val.image_id = db_tags[db_attr_val.tag_id].id
 
         bulk_create(
             db_model=models.LabeledImageAttributeVal,
-            objects=db_attrvals,
+            objects=db_attr_vals,
             flt_param={}
         )
 

cvat/apps/engine/tests/test_rest_api.py

@@ -4538,7 +4538,7 @@ class JobAnnotationAPITestCase(ApiTestBase):
                     ]
                 },
                 {
-                    "frame": 1,
+                    "frame": 2,
                     "label_id": task["labels"][1]["id"],
                     "group": None,
                     "source": "manual",

tests/python/rest_api/test_tasks.py

@@ -470,6 +470,104 @@ class TestGetTaskDataset:
         response = self._test_export_task(admin_user, tid, format=format_name)
         assert response.data
 
+    @pytest.mark.parametrize("tid", [8])
+    def test_can_export_task_to_coco_format(self, admin_user, tid):
+        # these annotations contains incorrect frame numbers
+        # in order to check that server handle such cases
+        annotations = {
+            "version": 0,
+            "tags": [],
+            "shapes": [],
+            "tracks": [
+                {
+                    "label_id": 63,
+                    "frame": 1,
+                    "group": 0,
+                    "source": "manual",
+                    "shapes": [
+                        {
+                            "type": "skeleton",
+                            "frame": 1,
+                            "occluded": False,
+                            "outside": False,
+                            "z_order": 0,
+                            "rotation": 0,
+                            "points": [],
+                            "attributes": [],
+                        }
+                    ],
+                    "attributes": [],
+                    "elements": [
+                        {
+                            "label_id": 64,
+                            "frame": 0,
+                            "group": 0,
+                            "source": "manual",
+                            "shapes": [
+                                {
+                                    "type": "points",
+                                    "frame": 1,
+                                    "occluded": False,
+                                    "outside": True,
+                                    "z_order": 0,
+                                    "rotation": 0,
+                                    "points": [74.14935096036425, 79.09960455479086],
+                                    "attributes": [],
+                                },
+                                {
+                                    "type": "points",
+                                    "frame": 7,
+                                    "occluded": False,
+                                    "outside": False,
+                                    "z_order": 0,
+                                    "rotation": 0,
+                                    "points": [74.14935096036425, 79.09960455479086],
+                                    "attributes": [],
+                                },
+                            ],
+                            "attributes": [],
+                        },
+                        {
+                            "label_id": 65,
+                            "frame": 0,
+                            "group": 0,
+                            "source": "manual",
+                            "shapes": [
+                                {
+                                    "type": "points",
+                                    "frame": 0,
+                                    "occluded": False,
+                                    "outside": False,
+                                    "z_order": 0,
+                                    "rotation": 0,
+                                    "points": [285.07319976630424, 353.51583641966175],
+                                    "attributes": [],
+                                }
+                            ],
+                            "attributes": [],
+                        },
+                    ],
+                }
+            ],
+        }
+        response = patch_method(
+            admin_user, f"tasks/{tid}/annotations", annotations, action="update"
+        )
+        assert response.status_code == HTTPStatus.OK
+
+        # check that we can export task
+        response = self._test_export_task(admin_user, tid, format="COCO Keypoints 1.0")
+        assert response.status == HTTPStatus.OK
+
+        # check that server saved track annotations correctly
+        response = get_method(admin_user, f"tasks/{tid}/annotations")
+        assert response.status_code == HTTPStatus.OK
+
+        annotations = response.json()
+        assert annotations["tracks"][0]["frame"] == 0
+        assert annotations["tracks"][0]["shapes"][0]["frame"] == 0
+        assert annotations["tracks"][0]["elements"][0]["shapes"][0]["frame"] == 0
+
 
 @pytest.mark.usefixtures("restore_db_per_function")
 @pytest.mark.usefixtures("restore_cvat_data")

tests/python/shared/assets/cvat_db/data.json

@@ -653,6 +653,14 @@
     "expire_date": "2023-03-24T11:54:54.631Z"
   }
 },
+{
+  "model": "sessions.session",
+  "pk": "ttnnwlz4b1z28uiy24l4gqjgotwhpw1j",
+  "fields": {
+    "session_data": ".eJxVjEEOwiAQRe_C2hALFKYu3fcMZJhhpGpoUtqV8e7apAvd_vfef6mI21ri1vISJ1YX1anT75aQHrnugO9Yb7Omua7LlPSu6IM2Pc6cn9fD_Tso2Mq3zpzAUyay6EIHThLQQEZEAgdGkJ4hGeOCDBbOvrcYvMOQ2Fp2GYx6fwAZFjiv:1ptmJ8:Ac_26k4kTSoRBplBjwsTvpb0oukXBgpVgB230iP706c",
+    "expire_date": "2023-05-16T09:28:26.391Z"
+  }
+},
 {
   "model": "sessions.session",
   "pk": "v28l0efbrv9x06z97ilwcf7lwtuf4ctc",
@@ -2983,7 +2991,7 @@
     ],
     "bug_tracker": "",
     "created_date": "2022-03-05T08:30:48.612Z",
-    "updated_date": "2022-03-05T08:52:34.908Z",
+    "updated_date": "2023-05-02T09:28:57.638Z",
     "overlap": 0,
     "segment_size": 14,
     "status": "annotation",
@@ -5244,6 +5252,42 @@
     "parent": 58
   }
 },
+{
+  "model": "engine.label",
+  "pk": 63,
+  "fields": {
+    "task": 8,
+    "project": null,
+    "name": "skeleton",
+    "color": "#91becf",
+    "type": "skeleton",
+    "parent": null
+  }
+},
+{
+  "model": "engine.label",
+  "pk": 64,
+  "fields": {
+    "task": 8,
+    "project": null,
+    "name": "1",
+    "color": "#d12345",
+    "type": "points",
+    "parent": 63
+  }
+},
+{
+  "model": "engine.label",
+  "pk": 65,
+  "fields": {
+    "task": 8,
+    "project": null,
+    "name": "2",
+    "color": "#350dea",
+    "type": "points",
+    "parent": 63
+  }
+},
 {
   "model": "engine.skeleton",
   "pk": 1,
@@ -5284,6 +5328,14 @@
     "svg": "<line x1=\"49.88445281982422\" y1=\"18.897058486938477\" x2=\"35.59873962402344\" y2=\"61.081932067871094\" stroke=\"black\" data-type=\"edge\" data-node-from=\"3\" stroke-width=\"0.5\" data-node-to=\"2\"></line><line x1=\"70.72479248046875\" y1=\"68.30882263183594\" x2=\"49.88445281982422\" y2=\"18.897058486938477\" stroke=\"black\" data-type=\"edge\" data-node-from=\"4\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"25.0105037689209\" y1=\"31.165966033935547\" x2=\"70.72479248046875\" y2=\"68.30882263183594\" stroke=\"black\" data-type=\"edge\" data-node-from=\"1\" stroke-width=\"0.5\" data-node-to=\"4\"></line><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"25.0105037689209\" cy=\"31.165966033935547\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"59\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"35.59873962402344\" cy=\"61.081932067871094\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"60\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"49.88445281982422\" cy=\"18.897058486938477\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-id=\"61\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"70.72479248046875\" cy=\"68.30882263183594\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"4\" data-node-id=\"4\" data-label-id=\"62\"></circle>"
   }
 },
+{
+  "model": "engine.skeleton",
+  "pk": 6,
+  "fields": {
+    "root": 63,
+    "svg": "<line x1=\"26.91233253479004\" y1=\"27.74985694885254\" x2=\"67.28083801269531\" y2=\"62.590728759765625\" stroke=\"black\" data-type=\"edge\" data-node-from=\"1\" stroke-width=\"0.5\" data-node-to=\"2\"></line><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"26.91233253479004\" cy=\"27.74985694885254\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"64\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"67.28083801269531\" cy=\"62.590728759765625\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"65\"></circle>"
+  }
+},
 {
   "model": "engine.attributespec",
   "pk": 1,

tests/python/shared/assets/jobs.json

@@ -397,7 +397,7 @@
         "url": "http://localhost:8080/api/issues?job_id=10"
       },
       "labels": {
-        "count": 2,
+        "count": 3,
         "url": "http://localhost:8080/api/labels?job_id=10"
       },
       "mode": "annotation",

tests/python/shared/assets/labels.json

 {
-  "count": 35,
+  "count": 36,
   "next": null,
   "previous": null,
   "results": [
@@ -688,6 +688,35 @@
       "svg": "<line x1=\"49.88445281982422\" y1=\"18.897058486938477\" x2=\"35.59873962402344\" y2=\"61.081932067871094\" stroke=\"black\" data-type=\"edge\" data-node-from=\"3\" stroke-width=\"0.5\" data-node-to=\"2\"></line><line x1=\"70.72479248046875\" y1=\"68.30882263183594\" x2=\"49.88445281982422\" y2=\"18.897058486938477\" stroke=\"black\" data-type=\"edge\" data-node-from=\"4\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"25.0105037689209\" y1=\"31.165966033935547\" x2=\"70.72479248046875\" y2=\"68.30882263183594\" stroke=\"black\" data-type=\"edge\" data-node-from=\"1\" stroke-width=\"0.5\" data-node-to=\"4\"></line><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"25.0105037689209\" cy=\"31.165966033935547\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"59\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"35.59873962402344\" cy=\"61.081932067871094\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"60\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"49.88445281982422\" cy=\"18.897058486938477\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-id=\"61\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"70.72479248046875\" cy=\"68.30882263183594\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"4\" data-node-id=\"4\" data-label-id=\"62\"></circle>",
       "task_id": 21,
       "type": "skeleton"
+    },
+    {
+      "attributes": [],
+      "color": "#91becf",
+      "has_parent": false,
+      "id": 63,
+      "name": "skeleton",
+      "parent_id": null,
+      "sublabels": [
+        {
+          "attributes": [],
+          "color": "#d12345",
+          "has_parent": true,
+          "id": 64,
+          "name": "1",
+          "type": "points"
+        },
+        {
+          "attributes": [],
+          "color": "#350dea",
+          "has_parent": true,
+          "id": 65,
+          "name": "2",
+          "type": "points"
+        }
+      ],
+      "svg": "<line x1=\"26.91233253479004\" y1=\"27.74985694885254\" x2=\"67.28083801269531\" y2=\"62.590728759765625\" stroke=\"black\" data-type=\"edge\" data-node-from=\"1\" stroke-width=\"0.5\" data-node-to=\"2\"></line><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"26.91233253479004\" cy=\"27.74985694885254\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"64\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"67.28083801269531\" cy=\"62.590728759765625\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"65\"></circle>",
+      "task_id": 8,
+      "type": "skeleton"
     }
   ]
 }
\ No newline at end of file

tests/python/shared/assets/tasks.json

@@ -551,7 +551,7 @@
         "url": "http://localhost:8080/api/jobs?task_id=8"
       },
       "labels": {
-        "count": 2,
+        "count": 3,
         "url": "http://localhost:8080/api/labels?task_id=8"
       },
       "mode": "annotation",
@@ -572,7 +572,7 @@
       "status": "annotation",
       "subset": "",
       "target_storage": null,
-      "updated_date": "2022-03-05T08:52:34.908000Z",
+      "updated_date": "2023-05-02T09:28:57.638000Z",
       "url": "http://localhost:8080/api/tasks/8"
     },
     {