From 39c03becd6d76955fc24818cfac67fe7a2dd630a Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Wed, 24 Aug 2022 15:54:18 +0300
Subject: [PATCH 01/34] Added changes to CvatExtractor

---
 cvat/apps/dataset_manager/formats/cvat.py | 96 ++++++++++++++++++++---
 cvat/requirements/base.txt                |  2 +-
 2 files changed, 86 insertions(+), 12 deletions(-)

diff --git a/cvat/apps/dataset_manager/formats/cvat.py b/cvat/apps/dataset_manager/formats/cvat.py
index 97bd98a31325..4161a3b41bfb 100644
--- a/cvat/apps/dataset_manager/formats/cvat.py
+++ b/cvat/apps/dataset_manager/formats/cvat.py
@@ -119,8 +119,10 @@ def _parse(cls, path):
 
         track = None
         shape = None
+        shape_element = None
         tag = None
         attributes = None
+        element_attributes = None
         image = None
         subset = None
         for ev, el in context:
@@ -144,16 +146,25 @@ def _parse(cls, path):
                     }
                     subset = el.attrib.get('subset')
                 elif el.tag in cls._SUPPORTED_SHAPES and (track or image):
-                    attributes = {}
-                    shape = {
-                        'type': None,
-                        'attributes': attributes,
-                    }
-                    if track:
-                        shape.update(track)
-                        shape['track_id'] = int(track['id'])
-                    if image:
-                        shape.update(image)
+                    if shape and shape['type'] == 'skeleton':
+                        attributes = {}
+                        shape_element = {
+                            'type': None,
+                            'attributes': element_attributes,
+                        }
+                        shape_element.update(image)
+                    else:
+                        attributes = {}
+                        shape = {
+                            'type': None,
+                            'attributes': attributes,
+                        }
+                        if track:
+                            shape.update(track)
+                            shape['track_id'] = int(track['id'])
+                        if image:
+                            shape['elements'] = []
+                            shape.update(image)
                 elif el.tag == 'tag' and image:
                     attributes = {}
                     tag = {
@@ -164,7 +175,19 @@ def _parse(cls, path):
                     }
                     subset = el.attrib.get('subset')
             elif ev == 'end':
-                if el.tag == 'attribute' and attributes is not None:
+                if el.tag == 'attribute' and element_attributes is not None and shape_element is not None:
+                    attr_value = el.text or ''
+                    attr_type = attribute_types.get(el.attrib['name'])
+                    if el.text in ['true', 'false']:
+                        attr_value = attr_value == 'true'
+                    elif attr_type is not None and attr_type != 'text':
+                        try:
+                            attr_value = float(attr_value)
+                        except ValueError:
+                            pass
+                    element_attributes[el.attrib['name']] = attr_value
+
+                if el.tag == 'attribute' and attributes is not None and shape_element is None:
                     attr_value = el.text or ''
                     attr_type = attribute_types.get(el.attrib['name'])
                     if el.text in ['true', 'false']:
@@ -175,6 +198,57 @@ def _parse(cls, path):
                         except ValueError:
                             pass
                     attributes[el.attrib['name']] = attr_value
+
+                elif el.tag in cls._SUPPORTED_SHAPES and shape["type"] == "skeleton" and el.tag != "skeleton":
+                    shape_element['label'] = el.attrib.get('label')
+                    shape_element['group'] = int(el.attrib.get('group_id', 0))
+
+                    shape_element['type'] = el.tag
+                    shape_element['occluded'] = (el.attrib.get('occluded') == '1')
+                    shape_element['z_order'] = int(el.attrib.get('z_order', 0))
+
+                    if el.tag == 'box':
+                        shape_element['points'] = list(map(float, [
+                            el.attrib['xtl'], el.attrib['ytl'],
+                            el.attrib['xbr'], el.attrib['ybr'],
+                        ]))
+                    else:
+                        shape_element['points'] = []
+                        for pair in el.attrib['points'].split(';'):
+                            shape_element['points'].extend(map(float, pair.split(',')))
+
+                    shape['elements'].append(shape_element)
+                    shape_element = None
+
+                elif el.tag in cls._SUPPORTED_SHAPES and :
+                    if track is not None:
+                        shape['frame'] = el.attrib['frame']
+                        shape['outside'] = (el.attrib.get('outside') == '1')
+                        shape['keyframe'] = (el.attrib.get('keyframe') == '1')
+                    if image is not None:
+                        shape['label'] = el.attrib.get('label')
+                        shape['group'] = int(el.attrib.get('group_id', 0))
+
+                    shape['type'] = el.tag
+                    shape['occluded'] = (el.attrib.get('occluded') == '1')
+                    shape['z_order'] = int(el.attrib.get('z_order', 0))
+
+                    if el.tag == 'box':
+                        shape['points'] = list(map(float, [
+                            el.attrib['xtl'], el.attrib['ytl'],
+                            el.attrib['xbr'], el.attrib['ybr'],
+                        ]))
+                    else:
+                        shape['points'] = []
+                        for pair in el.attrib['points'].split(';'):
+                            shape['points'].extend(map(float, pair.split(',')))
+
+                    frame_desc = items.get((subset, shape['frame']), {'annotations': []})
+                    frame_desc['annotations'].append(
+                        cls._parse_shape_ann(shape, categories))
+                    items[(subset, shape['frame'])] = frame_desc
+                    shape = None
+
                 elif el.tag in cls._SUPPORTED_SHAPES:
                     if track is not None:
                         shape['frame'] = el.attrib['frame']
diff --git a/cvat/requirements/base.txt b/cvat/requirements/base.txt
index 54178cc96e07..f97055dae7a7 100644
--- a/cvat/requirements/base.txt
+++ b/cvat/requirements/base.txt
@@ -47,7 +47,7 @@ azure-storage-blob==12.13.0
 google-cloud-storage==1.42.0
 # --no-binary=datumaro: workaround for pip to install
 # opencv-headless instead of regular opencv, to actually run setup script
-datumaro==0.2.0 --no-binary=datumaro
+git+https://github.com/cvat-ai/datumaro@ay/skeletons
 urllib3>=1.26.5 # not directly required, pinned by Snyk to avoid a vulnerability
 natsort==8.0.0
 mistune>=2.0.1 # not directly required, pinned by Snyk to avoid a vulnerability

From 4355f43e053883fae20eda8fc4e80fef2946db35 Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Fri, 26 Aug 2022 16:19:06 +0300
Subject: [PATCH 02/34] Added Skeleton annotation type

---
 cvat/apps/dataset_manager/bindings.py     | 89 +++++++++++++++++---
 cvat/apps/dataset_manager/formats/cvat.py | 98 ++++++++++++-----------
 2 files changed, 129 insertions(+), 58 deletions(-)

diff --git a/cvat/apps/dataset_manager/bindings.py b/cvat/apps/dataset_manager/bindings.py
index fcefc12f2b53..a244ef7c6e3c 100644
--- a/cvat/apps/dataset_manager/bindings.py
+++ b/cvat/apps/dataset_manager/bindings.py
@@ -5,6 +5,7 @@
 
 import sys
 import rq
+import re
 import os.path as osp
 from attr import attrib, attrs
 from collections import namedtuple
@@ -1056,14 +1057,24 @@ def _load_categories(labels: list):
             datum_annotation.Categories] = {}
 
         label_categories = datum_annotation.LabelCategories(attributes=['occluded'])
+        point_categories = datum_annotation.PointsCategories()
 
         for _, label in labels:
-            label_categories.add(label['name'])
+            label_id = label_categories.add(label['name'])
             for _, attr in label['attributes']:
                 label_categories.attributes.add(attr['name'])
 
+            if label['type'] == str(LabelType.SKELETON):
+                labels_from = list(map(int, re.findall(r'data-node-from="(\d+)"', label['svg'])))
+                labels_to = list(map(int, re.findall(r'data-node-to="(\d+)"', label['svg'])))
+                sublabels = re.findall(r'data-label-name="(\w+)"', label['svg'])
+                joints = zip(labels_from, labels_to)
+
+                point_categories.add(label_id, sublabels, joints)
+
 
         categories[datum_annotation.AnnotationType.label] = label_categories
+        categories[datum_annotation.AnnotationType.points] = point_categories
 
         return categories
 
@@ -1481,7 +1492,8 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
         datum_annotation.AnnotationType.polygon: ShapeType.POLYGON,
         datum_annotation.AnnotationType.polyline: ShapeType.POLYLINE,
         datum_annotation.AnnotationType.points: ShapeType.POINTS,
-        datum_annotation.AnnotationType.cuboid_3d: ShapeType.CUBOID
+        datum_annotation.AnnotationType.cuboid_3d: ShapeType.CUBOID,
+        datum_annotation.AnnotationType.skeleton: ShapeType.SKELETON
     }
 
     label_cat = dm_dataset.categories()[datum_annotation.AnnotationType.label]
@@ -1541,39 +1553,94 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
                         if ann.attributes.get('source', '').lower() in {'auto', 'manual'} else 'manual'
 
                     if track_id is None or dm_dataset.format != 'cvat' :
+                        elements = []
+                        if ann.type == datum_annotation.AnnotationType.skeleton:
+                            for element in ann.elements:
+                                element_attributes = [
+                                    instance_data.Attribute(name=n, value=str(v))
+                                    for n, v in element.attributes.items()
+                                ]
+                                element_occluded = cast(element.attributes.pop('occluded', None), bool) is True
+                                element_outside = cast(element.attributes.pop('outside', None), bool) is True
+                                element_source = element.attributes.pop('source').lower() \
+                                    if element.attributes.get('source', '').lower() in {'auto', 'manual'} else 'manual'
+                                elements.append(instance_data.LabeledShape(
+                                    type=shapes[element.type],
+                                    frame=frame_number,
+                                    points=element.points,
+                                    label=label_cat.items[element.label].name,
+                                    occluded=element_occluded,
+                                    z_order=ann.z_order,
+                                    group=group_map.get(ann.group, 0),
+                                    source=element_source,
+                                    attributes=element_attributes,
+                                    elements=[],
+                                    outside=element_outside,
+                                ))
                         instance_data.add_shape(instance_data.LabeledShape(
                             type=shapes[ann.type],
                             frame=frame_number,
-                            points=ann.points,
+                            points=ann.points if ann.type is not datum_annotation.AnnotationType.skeleton else [],
                             label=label_cat.items[ann.label].name,
                             occluded=occluded,
                             z_order=ann.z_order,
                             group=group_map.get(ann.group, 0),
                             source=source,
                             attributes=attributes,
+                            elements=elements,
                         ))
                         continue
 
                     if keyframe or outside:
+                        if track_id not in tracks:
+                            tracks[track_id] = instance_data.Track(
+                                label=label_cat.items[ann.label].name,
+                                group=group_map.get(ann.group, 0),
+                                source=source,
+                                shapes=[],
+                                elements=[],
+                            )
+
                         track = instance_data.TrackedShape(
                             type=shapes[ann.type],
                             frame=frame_number,
                             occluded=occluded,
                             outside=outside,
                             keyframe=keyframe,
-                            points=ann.points,
+                            points=ann.points if ann.type is not datum_annotation.AnnotationType.skeleton else [],
                             z_order=ann.z_order,
                             source=source,
                             attributes=attributes,
                         )
 
-                        if track_id not in tracks:
-                            tracks[track_id] = instance_data.Track(
-                                label=label_cat.items[ann.label].name,
-                                group=group_map.get(ann.group, 0),
-                                source=source,
-                                shapes=[],
-                            )
+                        if ann.type == datum_annotation.AnnotationType.skeleton:
+                            for element in ann.elements:
+                                if element.label not in tracks[track_id].elements:
+                                    tracks[track_id].elements[element.label] = instance_data.Track(
+                                        label=label_cat.items[element.label].name,
+                                        group=0,
+                                        source=source,
+                                        shapes=[],
+                                    )
+                                element_attributes = [
+                                    instance_data.Attribute(name=n, value=str(v))
+                                    for n, v in element.attributes.items()
+                                ]
+                                element_occluded = cast(element.attributes.pop('occluded', None), bool) is True
+                                element_outside = cast(element.attributes.pop('outside', None), bool) is True
+                                element_source = element.attributes.pop('source').lower() \
+                                    if element.attributes.get('source', '').lower() in {'auto', 'manual'} else 'manual'
+                                tracks[track_id].elements[element.label].shapes.append(instance_data.TrackedShape(
+                                    type=shapes[ann.type],
+                                    frame=frame_number,
+                                    occluded=element_occluded,
+                                    outside=element_outside,
+                                    keyframe=keyframe,
+                                    points=element.points,
+                                    z_order=element.z_order,
+                                    source=element_source,
+                                    attributes=element_attributes,
+                                ))
 
                         tracks[track_id].shapes.append(track)
 
diff --git a/cvat/apps/dataset_manager/formats/cvat.py b/cvat/apps/dataset_manager/formats/cvat.py
index 4161a3b41bfb..cd84363062ce 100644
--- a/cvat/apps/dataset_manager/formats/cvat.py
+++ b/cvat/apps/dataset_manager/formats/cvat.py
@@ -13,7 +13,7 @@
 
 from datumaro.components.annotation import (AnnotationType, Bbox, Label,
                                             LabelCategories, Points, Polygon,
-                                            PolyLine)
+                                            PolyLine, Skeleton)
 from datumaro.components.dataset import Dataset, DatasetItem
 from datumaro.components.extractor import (DEFAULT_SUBSET_NAME, Extractor,
                                            Importer)
@@ -118,6 +118,8 @@ def _parse(cls, path):
         items = OrderedDict()
 
         track = None
+        track_element = None
+        track_shapes = None
         shape = None
         shape_element = None
         tag = None
@@ -128,15 +130,22 @@ def _parse(cls, path):
         for ev, el in context:
             if ev == 'start':
                 if el.tag == 'track':
-                    frame_size = tasks_info[int(el.attrib.get('task_id'))]['frame_size'] if el.attrib.get('task_id') else tuple(tasks_info.values())[0]['frame_size']
-                    track = {
-                        'id': el.attrib['id'],
-                        'label': el.attrib.get('label'),
-                        'group': int(el.attrib.get('group_id', 0)),
-                        'height': frame_size[0],
-                        'width': frame_size[1],
-                    }
-                    subset = el.attrib.get('subset')
+                    if track:
+                        track_element = {
+                            'id': el.attrib['id'],
+                            'label': el.attrib.get('label'),
+                        }
+                    else:
+                        frame_size = tasks_info[int(el.attrib.get('task_id'))]['frame_size'] if el.attrib.get('task_id') else tuple(tasks_info.values())[0]['frame_size']
+                        track = {
+                            'id': el.attrib['id'],
+                            'label': el.attrib.get('label'),
+                            'group': int(el.attrib.get('group_id', 0)),
+                            'height': frame_size[0],
+                            'width': frame_size[1],
+                        }
+                        subset = el.attrib.get('subset')
+                        track_shapes = {}
                 elif el.tag == 'image':
                     image = {
                         'name': el.attrib.get('name'),
@@ -159,11 +168,14 @@ def _parse(cls, path):
                             'type': None,
                             'attributes': attributes,
                         }
-                        if track:
+                        shape['elements'] = []
+                        if track_element:
+                            shape.update(track_element)
+                            shape['track_id'] = int(track_element['id'])
+                        elif track:
                             shape.update(track)
                             shape['track_id'] = int(track['id'])
                         if image:
-                            shape['elements'] = []
                             shape.update(image)
                 elif el.tag == 'tag' and image:
                     attributes = {}
@@ -220,35 +232,6 @@ def _parse(cls, path):
                     shape['elements'].append(shape_element)
                     shape_element = None
 
-                elif el.tag in cls._SUPPORTED_SHAPES and :
-                    if track is not None:
-                        shape['frame'] = el.attrib['frame']
-                        shape['outside'] = (el.attrib.get('outside') == '1')
-                        shape['keyframe'] = (el.attrib.get('keyframe') == '1')
-                    if image is not None:
-                        shape['label'] = el.attrib.get('label')
-                        shape['group'] = int(el.attrib.get('group_id', 0))
-
-                    shape['type'] = el.tag
-                    shape['occluded'] = (el.attrib.get('occluded') == '1')
-                    shape['z_order'] = int(el.attrib.get('z_order', 0))
-
-                    if el.tag == 'box':
-                        shape['points'] = list(map(float, [
-                            el.attrib['xtl'], el.attrib['ytl'],
-                            el.attrib['xbr'], el.attrib['ybr'],
-                        ]))
-                    else:
-                        shape['points'] = []
-                        for pair in el.attrib['points'].split(';'):
-                            shape['points'].extend(map(float, pair.split(',')))
-
-                    frame_desc = items.get((subset, shape['frame']), {'annotations': []})
-                    frame_desc['annotations'].append(
-                        cls._parse_shape_ann(shape, categories))
-                    items[(subset, shape['frame'])] = frame_desc
-                    shape = None
-
                 elif el.tag in cls._SUPPORTED_SHAPES:
                     if track is not None:
                         shape['frame'] = el.attrib['frame']
@@ -271,11 +254,16 @@ def _parse(cls, path):
                         shape['points'] = []
                         for pair in el.attrib['points'].split(';'):
                             shape['points'].extend(map(float, pair.split(',')))
+                    if track_element:
+                        track_shapes[shape['frame']]['elements'].append(shape)
+                    elif track:
+                        track_shapes[shape['frame']] = shape
+                    else:
+                        frame_desc = items.get((subset, shape['frame']), {'annotations': []})
+                        frame_desc['annotations'].append(
+                            cls._parse_shape_ann(shape, categories))
+                        items[(subset, shape['frame'])] = frame_desc
 
-                    frame_desc = items.get((subset, shape['frame']), {'annotations': []})
-                    frame_desc['annotations'].append(
-                        cls._parse_shape_ann(shape, categories))
-                    items[(subset, shape['frame'])] = frame_desc
                     shape = None
 
                 elif el.tag == 'tag':
@@ -285,7 +273,15 @@ def _parse(cls, path):
                     items[(subset, tag['frame'])] = frame_desc
                     tag = None
                 elif el.tag == 'track':
-                    track = None
+                    if track_element:
+                        track_element = None
+                    else:
+                        for shape in track_shapes.values():
+                            frame_desc = items.get((subset, shape['frame']), {'annotations': []})
+                            frame_desc['annotations'].append(
+                                cls._parse_shape_ann(shape, categories))
+                            items[(subset, shape['frame'])] = frame_desc
+                        track = None
                 elif el.tag == 'image':
                     frame_desc = items.get((subset, image['frame']), {'annotations': []})
                     frame_desc.update({
@@ -459,6 +455,14 @@ def _parse_shape_ann(cls, ann, categories):
             return Bbox(x, y, w, h, label=label_id, z_order=z_order,
                 id=ann_id, attributes=attributes, group=group)
 
+        elif ann_type == 'skeleton':
+            elements = []
+            for element in ann.get('elements', []):
+                elements.append(cls._parse_shape_ann(element, categories))
+
+            return Skeleton(elements, label=label_id, z_order=z_order,
+                id=ann_id, attributes=attributes, group=group)
+
         else:
             raise NotImplementedError("Unknown annotation type '%s'" % ann_type)
 
@@ -483,7 +487,7 @@ def _load_items(self, parsed, image_items):
             di.subset = subset or DEFAULT_SUBSET_NAME
             di.annotations = item_desc.get('annotations')
             di.attributes = {'frame': int(frame_id)}
-            di.image = image if isinstance(image, Image) else di.image
+            di.media = image if isinstance(image, Image) else di.media
             image_items[(subset, osp.splitext(name)[0])] = di
         return image_items
 

From 8496436d3a9bc46c4801feba2523d64621f03132 Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Tue, 30 Aug 2022 16:20:57 +0300
Subject: [PATCH 03/34] Some fixes

---
 cvat/apps/dataset_manager/bindings.py | 28 +++++-----
 cvat/apps/engine/views.py             | 75 +++++++++++++--------------
 2 files changed, 50 insertions(+), 53 deletions(-)

diff --git a/cvat/apps/dataset_manager/bindings.py b/cvat/apps/dataset_manager/bindings.py
index a244ef7c6e3c..ce2aa6e0cefb 100644
--- a/cvat/apps/dataset_manager/bindings.py
+++ b/cvat/apps/dataset_manager/bindings.py
@@ -1593,13 +1593,13 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
 
                     if keyframe or outside:
                         if track_id not in tracks:
-                            tracks[track_id] = instance_data.Track(
-                                label=label_cat.items[ann.label].name,
-                                group=group_map.get(ann.group, 0),
-                                source=source,
-                                shapes=[],
-                                elements=[],
-                            )
+                            tracks[track_id] = {
+                                'label': label_cat.items[ann.label].name,
+                                'group': group_map.get(ann.group, 0),
+                                'source': source,
+                                'shapes': [],
+                                'elements':{},
+                            }
 
                         track = instance_data.TrackedShape(
                             type=shapes[ann.type],
@@ -1612,11 +1612,12 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
                             source=source,
                             attributes=attributes,
                         )
+                        tracks[track_id]['shapes'].append(track)
 
                         if ann.type == datum_annotation.AnnotationType.skeleton:
                             for element in ann.elements:
-                                if element.label not in tracks[track_id].elements:
-                                    tracks[track_id].elements[element.label] = instance_data.Track(
+                                if element.label not in tracks[track_id]['elements']:
+                                    tracks[track_id]['elements'][element.label] = instance_data.Track(
                                         label=label_cat.items[element.label].name,
                                         group=0,
                                         source=source,
@@ -1630,8 +1631,8 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
                                 element_outside = cast(element.attributes.pop('outside', None), bool) is True
                                 element_source = element.attributes.pop('source').lower() \
                                     if element.attributes.get('source', '').lower() in {'auto', 'manual'} else 'manual'
-                                tracks[track_id].elements[element.label].shapes.append(instance_data.TrackedShape(
-                                    type=shapes[ann.type],
+                                tracks[track_id]['elements'][element.label].shapes.append(instance_data.TrackedShape(
+                                    type=shapes[element.type],
                                     frame=frame_number,
                                     occluded=element_occluded,
                                     outside=element_outside,
@@ -1642,8 +1643,6 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
                                     attributes=element_attributes,
                                 ))
 
-                        tracks[track_id].shapes.append(track)
-
                 elif ann.type == datum_annotation.AnnotationType.label:
                     instance_data.add_tag(instance_data.Tag(
                         frame=frame_number,
@@ -1657,7 +1656,8 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
                     "#{} ({}): {}".format(item.id, idx, ann.type.name, e)) from e
 
     for track in tracks.values():
-        instance_data.add_track(track)
+        track['elements'] = list(track['elements'].values())
+        instance_data.add_track(instance_data.Track(**track))
 
 
 def import_labels_to_project(project_annotation, dataset: Dataset):
diff --git a/cvat/apps/engine/views.py b/cvat/apps/engine/views.py
index 2fa21a349b57..db61956a022a 100644
--- a/cvat/apps/engine/views.py
+++ b/cvat/apps/engine/views.py
@@ -2255,46 +2255,43 @@ def _import_project_dataset(request, rq_id, rq_func, pk, format_name, filename=N
     queue = django_rq.get_queue("default")
     rq_job = queue.fetch_job(rq_id)
 
-    if not rq_job:
-        fd = None
-        location = location_conf.get('location') if location_conf else None
-        if not filename and location != Location.CLOUD_STORAGE:
-            serializer = DatasetFileSerializer(data=request.data)
-            if serializer.is_valid(raise_exception=True):
-                dataset_file = serializer.validated_data['dataset_file']
-                fd, filename = mkstemp(prefix='cvat_{}'.format(pk), dir=settings.TMP_FILES_ROOT)
-                with open(filename, 'wb+') as f:
-                    for chunk in dataset_file.chunks():
-                        f.write(chunk)
-        elif location == Location.CLOUD_STORAGE:
-            assert filename
-
-            # download project file from cloud storage
-            try:
-                storage_id = location_conf['storage_id']
-            except KeyError:
-                raise serializers.ValidationError(
-                    'Cloud storage location was selected for destination'
-                    ' but cloud storage id was not specified')
-            db_storage = get_object_or_404(CloudStorageModel, pk=storage_id)
-            storage = db_storage_to_storage_instance(db_storage)
-
-            data = _import_from_cloud_storage(storage, filename)
-
-            fd, filename = mkstemp(prefix='cvat_', dir=settings.TMP_FILES_ROOT)
+    fd = None
+    location = location_conf.get('location') if location_conf else None
+    if not filename and location != Location.CLOUD_STORAGE:
+        serializer = DatasetFileSerializer(data=request.data)
+        if serializer.is_valid(raise_exception=True):
+            dataset_file = serializer.validated_data['dataset_file']
+            fd, filename = mkstemp(prefix='cvat_{}'.format(pk), dir=settings.TMP_FILES_ROOT)
             with open(filename, 'wb+') as f:
-                f.write(data.getbuffer())
+                for chunk in dataset_file.chunks():
+                    f.write(chunk)
+    elif location == Location.CLOUD_STORAGE:
+        assert filename
 
-        rq_job = queue.enqueue_call(
-            func=rq_func,
-            args=(pk, filename, format_name),
-            job_id=rq_id,
-            meta={
-                    'tmp_file': filename,
-                    'tmp_file_descriptor': fd,
-                },
-            )
-    else:
-        return Response(status=status.HTTP_409_CONFLICT, data='Import job already exists')
+        # download project file from cloud storage
+        try:
+            storage_id = location_conf['storage_id']
+        except KeyError:
+            raise serializers.ValidationError(
+                'Cloud storage location was selected for destination'
+                ' but cloud storage id was not specified')
+        db_storage = get_object_or_404(CloudStorageModel, pk=storage_id)
+        storage = db_storage_to_storage_instance(db_storage)
+
+        data = _import_from_cloud_storage(storage, filename)
+
+        fd, filename = mkstemp(prefix='cvat_', dir=settings.TMP_FILES_ROOT)
+        with open(filename, 'wb+') as f:
+            f.write(data.getbuffer())
+
+    rq_job = queue.enqueue_call(
+        func=rq_func,
+        args=(pk, filename, format_name),
+        job_id=rq_id,
+        meta={
+                'tmp_file': filename,
+                'tmp_file_descriptor': fd,
+            },
+        )
 
     return Response(status=status.HTTP_202_ACCEPTED)

From 12208be205f9c11599bd7b3cef504f462bd48281 Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Tue, 13 Sep 2022 10:25:34 +0300
Subject: [PATCH 04/34] Fix an issue with backups

---
 cvat/apps/engine/backup.py | 36 +++++++++++++++++++++---------------
 1 file changed, 21 insertions(+), 15 deletions(-)

diff --git a/cvat/apps/engine/backup.py b/cvat/apps/engine/backup.py
index 9441ad623d11..430a4cfcab85 100644
--- a/cvat/apps/engine/backup.py
+++ b/cvat/apps/engine/backup.py
@@ -172,37 +172,37 @@ def _update_attribute(attribute, label):
                 source, dest = attribute.pop('spec_id'), 'name'
             attribute[dest] = label_mapping[label]['attributes'][source]
 
-        def _update_label(shape):
+        def _update_label(shape, parent_label=""):
             if 'label_id' in shape:
                 source, dest = shape.pop('label_id'), 'label'
             elif 'label' in shape:
                 source, dest = shape.pop('label'), 'label_id'
-            shape[dest] = label_mapping[source]['value']
+            shape[dest] = label_mapping[parent_label + source]['value']
 
             return source
 
-        def _prepare_shapes(shapes):
+        def _prepare_shapes(shapes, parent_label=""):
             for shape in shapes:
-                label = _update_label(shape)
+                label = _update_label(shape, parent_label)
                 for attr in shape['attributes']:
-                    _update_attribute(attr, label)
+                    _update_attribute(attr, parent_label + label)
 
-                _prepare_shapes(shape.get('elements', []))
+                _prepare_shapes(shape.get('elements', []), label)
 
                 self._prepare_meta(allowed_fields, shape)
 
-        def _prepare_tracks(tracks):
+        def _prepare_tracks(tracks, parent_label=""):
             for track in tracks:
-                label = _update_label(track)
+                label = _update_label(track, parent_label)
                 for shape in track['shapes']:
                     for attr in shape['attributes']:
-                        _update_attribute(attr, label)
+                        _update_attribute(attr, parent_label + label)
                     self._prepare_meta(allowed_fields, shape)
 
-                _prepare_tracks(track.get('elements', []))
+                _prepare_tracks(track.get('elements', []), label)
 
                 for attr in track['attributes']:
-                    _update_attribute(attr, label)
+                    _update_attribute(attr, parent_label + label)
                 self._prepare_meta(allowed_fields, track)
 
         for tag in annotations['tags']:
@@ -426,10 +426,16 @@ def _create_labels(self, labels, db_task=None, db_project=None, parent_label=Non
             sublabels  = label.pop('sublabels', [])
 
             db_label = models.Label.objects.create(**label_relation, parent=parent_label, **label)
-            label_mapping[label_name] = {
-                'value': db_label.id,
-                'attributes': {},
-            }
+            if parent_label:
+                label_mapping[parent_label.name + label_name] = {
+                    'value': db_label.id,
+                    'attributes': {},
+                }
+            else:
+                label_mapping[label_name] = {
+                    'value': db_label.id,
+                    'attributes': {},
+                }
 
             label_mapping.update(self._create_labels(sublabels, db_task, db_project, db_label))
 

From 2c0eeaeece4189763460c0d03358b1a691df34f7 Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Tue, 13 Sep 2022 16:30:26 +0300
Subject: [PATCH 05/34] Fixes

---
 cvat/apps/dataset_manager/bindings.py     | 29 +++--------------------
 cvat/apps/dataset_manager/formats/cvat.py | 28 +++++++++++++++-------
 2 files changed, 23 insertions(+), 34 deletions(-)

diff --git a/cvat/apps/dataset_manager/bindings.py b/cvat/apps/dataset_manager/bindings.py
index 4bf5df5d4618..b14dba03a03a 100644
--- a/cvat/apps/dataset_manager/bindings.py
+++ b/cvat/apps/dataset_manager/bindings.py
@@ -526,9 +526,7 @@ def _import_track(self, track, parent_label_id=None):
             ]
             shape['attributes'] = [self._import_attribute(label_id, attrib, mutable=True)
                 for attrib in shape['attributes']
-                if self._get_mutable_attribute_id(label_id, attrib.name) or (
-                    self.soft_attribute_import and attrib.name not in CVAT_INTERNAL_ATTRIBUTES
-                )
+                if self._get_mutable_attribute_id(label_id, attrib.name)
             ]
             shape['points'] = list(map(float, shape['points']))
 
@@ -1532,7 +1530,6 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
     }
 
     label_cat = dm_dataset.categories()[datum_annotation.AnnotationType.label]
-    point_cat = dm_dataset.categories().get(datum_annotation.AnnotationType.points)
 
     root_hint = find_dataset_root(dm_dataset, instance_data)
 
@@ -1589,26 +1586,6 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
                         if ann.attributes.get('source', '').lower() in {'auto', 'manual'} else 'manual'
 
                     shape_type = shapes[ann.type]
-                    elements = []
-                    if point_cat and shape_type == ShapeType.POINTS:
-                        labels = point_cat.items[ann.label].labels
-                        shape_type = ShapeType.SKELETON
-                        for i in range(len(ann.points) // 2):
-                            label = None
-                            if i < len(labels):
-                                label = labels[i]
-                            elements.append(instance_data.LabeledShape(
-                                type=ShapeType.POINTS,
-                                frame=frame_number,
-                                points=ann.points[2 * i : 2 * i + 2],
-                                label=label,
-                                occluded=ann.visibility[i] == datum_annotation.Points.Visibility.hidden,
-                                source=source,
-                                attributes=[],
-                                outside=ann.visibility[i] == datum_annotation.Points.Visibility.absent,
-                            ))
-
-
                     if track_id is None or dm_dataset.format != 'cvat' :
                         elements = []
                         if ann.type == datum_annotation.AnnotationType.skeleton:
@@ -1617,8 +1594,8 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
                                     instance_data.Attribute(name=n, value=str(v))
                                     for n, v in element.attributes.items()
                                 ]
-                                element_occluded = cast(element.attributes.pop('occluded', None), bool) is True
-                                element_outside = cast(element.attributes.pop('outside', None), bool) is True
+                                element_occluded = element.visibility[0] == datum_annotation.Points.Visibility.hidden
+                                element_outside = element.visibility[0] == datum_annotation.Points.Visibility.absent
                                 element_source = element.attributes.pop('source').lower() \
                                     if element.attributes.get('source', '').lower() in {'auto', 'manual'} else 'manual'
                                 elements.append(instance_data.LabeledShape(
diff --git a/cvat/apps/dataset_manager/formats/cvat.py b/cvat/apps/dataset_manager/formats/cvat.py
index cd84363062ce..e7f8c0b7b699 100644
--- a/cvat/apps/dataset_manager/formats/cvat.py
+++ b/cvat/apps/dataset_manager/formats/cvat.py
@@ -158,14 +158,14 @@ def _parse(cls, path):
                     if shape and shape['type'] == 'skeleton':
                         attributes = {}
                         shape_element = {
-                            'type': None,
+                            'type': 'rectangle' if el.tag == 'box' else el.tag,
                             'attributes': element_attributes,
                         }
                         shape_element.update(image)
                     else:
                         attributes = {}
                         shape = {
-                            'type': None,
+                            'type': 'rectangle' if el.tag == 'box' else el.tag,
                             'attributes': attributes,
                         }
                         shape['elements'] = []
@@ -216,7 +216,6 @@ def _parse(cls, path):
                     shape_element['group'] = int(el.attrib.get('group_id', 0))
 
                     shape_element['type'] = el.tag
-                    shape_element['occluded'] = (el.attrib.get('occluded') == '1')
                     shape_element['z_order'] = int(el.attrib.get('z_order', 0))
 
                     if el.tag == 'box':
@@ -229,6 +228,16 @@ def _parse(cls, path):
                         for pair in el.attrib['points'].split(';'):
                             shape_element['points'].extend(map(float, pair.split(',')))
 
+                    if el.tag == 'points' and el.attrib.get('occluded') == '1':
+                        shape_element['visibility'] = [Points.Visibility.hidden] * (len(shape_element['points']) // 2)
+                    else:
+                        shape_element['occluded'] = (el.attrib.get('occluded') == '1')
+
+                    if el.tag == 'points' and el.attrib.get('outside') == '1':
+                        shape_element['visibility'] = [Points.Visibility.absent] * (len(shape_element['points']) // 2)
+                    else:
+                        shape_element['outside'] = (el.attrib.get('outside') == '1')
+
                     shape['elements'].append(shape_element)
                     shape_element = None
 
@@ -250,6 +259,8 @@ def _parse(cls, path):
                             el.attrib['xtl'], el.attrib['ytl'],
                             el.attrib['xbr'], el.attrib['ybr'],
                         ]))
+                    elif el.tag == 'skeleton':
+                        shape['points'] = []
                     else:
                         shape['points'] = []
                         for pair in el.attrib['points'].split(';'):
@@ -276,11 +287,11 @@ def _parse(cls, path):
                     if track_element:
                         track_element = None
                     else:
-                        for shape in track_shapes.values():
-                            frame_desc = items.get((subset, shape['frame']), {'annotations': []})
+                        for track_shape in track_shapes.values():
+                            frame_desc = items.get((subset, track_shape['frame']), {'annotations': []})
                             frame_desc['annotations'].append(
-                                cls._parse_shape_ann(shape, categories))
-                            items[(subset, shape['frame'])] = frame_desc
+                                cls._parse_shape_ann(track_shape, categories))
+                            items[(subset, track_shape['frame'])] = frame_desc
                         track = None
                 elif el.tag == 'image':
                     frame_desc = items.get((subset, image['frame']), {'annotations': []})
@@ -446,7 +457,8 @@ def _parse_shape_ann(cls, ann, categories):
                 id=ann_id, attributes=attributes, group=group)
 
         elif ann_type == 'points':
-            return Points(points, label=label_id, z_order=z_order,
+            visibility = ann.get('visibility', None)
+            return Points(points, visibility, label=label_id, z_order=z_order,
                 id=ann_id, attributes=attributes, group=group)
 
         elif ann_type == 'box':

From c57d6bc943a8dc394a9d7b8b6b49e4c634ae7463 Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Tue, 13 Sep 2022 20:15:05 +0300
Subject: [PATCH 06/34] Update Datumaro version

---
 cvat/requirements/base.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/cvat/requirements/base.txt b/cvat/requirements/base.txt
index f97055dae7a7..4daff9515470 100644
--- a/cvat/requirements/base.txt
+++ b/cvat/requirements/base.txt
@@ -47,7 +47,7 @@ azure-storage-blob==12.13.0
 google-cloud-storage==1.42.0
 # --no-binary=datumaro: workaround for pip to install
 # opencv-headless instead of regular opencv, to actually run setup script
-git+https://github.com/cvat-ai/datumaro@ay/skeletons
+git+https://github.com/cvat-ai/datumaro@ay/labels_extension
 urllib3>=1.26.5 # not directly required, pinned by Snyk to avoid a vulnerability
 natsort==8.0.0
 mistune>=2.0.1 # not directly required, pinned by Snyk to avoid a vulnerability

From ca4def99c963c542be54e5e4f62a3c29bc5d47e8 Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Thu, 15 Sep 2022 10:57:52 +0300
Subject: [PATCH 07/34] Fix an issue with backups

---
 cvat/apps/dataset_manager/bindings.py |  6 ++---
 cvat/apps/engine/backup.py            | 35 ++++++++++++---------------
 2 files changed, 17 insertions(+), 24 deletions(-)

diff --git a/cvat/apps/dataset_manager/bindings.py b/cvat/apps/dataset_manager/bindings.py
index b14dba03a03a..c48f57747529 100644
--- a/cvat/apps/dataset_manager/bindings.py
+++ b/cvat/apps/dataset_manager/bindings.py
@@ -1199,7 +1199,7 @@ def _make_image(i, **kwargs):
     def _read_cvat_anno(self, cvat_frame_anno: TaskData.Frame, labels: list):
         categories = self.categories()
         label_cat = categories[datum_annotation.AnnotationType.label]
-        def map_label(name, parent=None): return label_cat.find((parent if parent else "") + name)[0]
+        def map_label(name, parent=""): return label_cat.find(name, parent)[0]
         label_attrs = {
             label.get("parent", "") + label['name']: label['attributes']
             for _, label in labels
@@ -1448,8 +1448,6 @@ def convert_attrs(label, cvat_attrs):
             else:
                 continue
         elif shape_obj.type == ShapeType.SKELETON:
-            # points = []
-            # vis = []
             elements = []
             for element in shape_obj.elements:
                 element_attr = convert_attrs(shape_obj.label + element.label, element.attributes)
@@ -1463,7 +1461,7 @@ def convert_attrs(label, cvat_attrs):
                 elif element.occluded:
                     element_vis = datum_annotation.Points.Visibility.hidden
                 elements.append(datum_annotation.Points(element.points, [element_vis],
-                    label=map_label(shape_obj.label + element.label), attributes=element_attr))
+                    label=map_label(element.label, shape_obj.label), attributes=element_attr))
 
             anno = datum_annotation.Skeleton(elements, label=anno_label,
                 attributes=anno_attr, group=anno_group, z_order=shape_obj.z_order)
diff --git a/cvat/apps/engine/backup.py b/cvat/apps/engine/backup.py
index c3e109143eef..b7661d8cdd0f 100644
--- a/cvat/apps/engine/backup.py
+++ b/cvat/apps/engine/backup.py
@@ -173,37 +173,38 @@ def _update_attribute(attribute, label):
                 source, dest = attribute.pop('spec_id'), 'name'
             attribute[dest] = label_mapping[label]['attributes'][source]
 
-        def _update_label(shape, parent_label=""):
+        def _update_label(shape, parent_label=''):
             if 'label_id' in shape:
-                source, dest = shape.pop('label_id'), 'label'
+                source = shape.pop('label_id')
+                shape['label'] = label_mapping[source]['value']
             elif 'label' in shape:
-                source, dest = shape.pop('label'), 'label_id'
-            shape[dest] = label_mapping[parent_label + source]['value']
+                source = parent_label + shape.pop('label')
+                shape['label_id'] = label_mapping[source]['value']
 
             return source
 
-        def _prepare_shapes(shapes, parent_label=""):
+        def _prepare_shapes(shapes, parent_label=''):
             for shape in shapes:
                 label = _update_label(shape, parent_label)
                 for attr in shape['attributes']:
-                    _update_attribute(attr, parent_label + label)
+                    _update_attribute(attr, label)
 
                 _prepare_shapes(shape.get('elements', []), label)
 
                 self._prepare_meta(allowed_fields, shape)
 
-        def _prepare_tracks(tracks, parent_label=""):
+        def _prepare_tracks(tracks, parent_label=''):
             for track in tracks:
                 label = _update_label(track, parent_label)
                 for shape in track['shapes']:
                     for attr in shape['attributes']:
-                        _update_attribute(attr, parent_label + label)
+                        _update_attribute(attr, label)
                     self._prepare_meta(allowed_fields, shape)
 
                 _prepare_tracks(track.get('elements', []), label)
 
                 for attr in track['attributes']:
-                    _update_attribute(attr, parent_label + label)
+                    _update_attribute(attr, label)
                 self._prepare_meta(allowed_fields, track)
 
         for tag in annotations['tags']:
@@ -427,16 +428,10 @@ def _create_labels(self, labels, db_task=None, db_project=None, parent_label=Non
             sublabels  = label.pop('sublabels', [])
 
             db_label = models.Label.objects.create(**label_relation, parent=parent_label, **label)
-            if parent_label:
-                label_mapping[parent_label.name + label_name] = {
-                    'value': db_label.id,
-                    'attributes': {},
-                }
-            else:
-                label_mapping[label_name] = {
-                    'value': db_label.id,
-                    'attributes': {},
-                }
+            label_mapping[(parent_label.name if parent_label else '') + label_name] = {
+                'value': db_label.id,
+                'attributes': {},
+            }
 
             label_mapping.update(self._create_labels(sublabels, db_task, db_project, db_label))
 
@@ -450,7 +445,7 @@ def _create_labels(self, labels, db_task=None, db_project=None, parent_label=Non
                 attribute_serializer = AttributeSerializer(data=attribute)
                 attribute_serializer.is_valid(raise_exception=True)
                 db_attribute = attribute_serializer.save(label=db_label)
-                label_mapping[label_name]['attributes'][attribute_name] = db_attribute.id
+                label_mapping[(parent_label.name if parent_label else '') + label_name]['attributes'][attribute_name] = db_attribute.id
 
         return label_mapping
 

From bcd7b0036b3b012a1127914a1154b9d3927807f8 Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Mon, 19 Sep 2022 11:49:21 +0300
Subject: [PATCH 08/34] Fix tests

---
 cvat/apps/dataset_manager/bindings.py         | 35 ++++++++++---------
 cvat/apps/dataset_manager/formats/icdar.py    |  6 ++--
 .../dataset_manager/formats/market1501.py     |  4 +--
 cvat/apps/dataset_manager/formats/vggface2.py |  2 +-
 .../tests/assets/annotations.json             | 10 +-----
 .../dataset_manager/tests/assets/tasks.json   | 18 +++++-----
 .../dataset_manager/tests/test_formats.py     | 13 ++++++-
 cvat/apps/engine/tests/test_rest_api_3D.py    |  4 +--
 8 files changed, 48 insertions(+), 44 deletions(-)

diff --git a/cvat/apps/dataset_manager/bindings.py b/cvat/apps/dataset_manager/bindings.py
index c48f57747529..e9fc3fb6ff7d 100644
--- a/cvat/apps/dataset_manager/bindings.py
+++ b/cvat/apps/dataset_manager/bindings.py
@@ -18,7 +18,7 @@
 from attr import attrib, attrs
 from datumaro.components.dataset import Dataset
 from datumaro.util import cast
-from datumaro.util.image import ByteImage, Image
+from datumaro.components.media import ByteImage, Image, PointCloud
 from django.utils import timezone
 
 from cvat.apps.dataset_manager.formats.utils import get_label_color
@@ -1113,7 +1113,9 @@ def map_label(name): return label_cat.find(name)[0]
 
 class CvatTaskDataExtractor(datum_extractor.SourceExtractor, CVATDataExtractorMixin):
     def __init__(self, task_data, include_images=False, format_type=None, dimension=DimensionType.DIM_2D):
-        super().__init__()
+        super().__init__(media_type=Image if dimension == DimensionType.DIM_2D else PointCloud)
+        if dimension == DimensionType.DIM_3D:
+            a = 6
         self._categories = self._load_categories(task_data.meta['task']['labels'])
         self._user = self._load_user_info(task_data.meta['task']) if dimension == DimensionType.DIM_3D else {}
         self._dimension = dimension
@@ -1146,7 +1148,7 @@ def _make_image(i, **kwargs):
                     loader = lambda _: frame_provider.get_frame(i,
                         quality=frame_provider.Quality.ORIGINAL,
                         out_type=frame_provider.Type.NUMPY_ARRAY)[0]
-                    return Image(loader=loader, **kwargs)
+                    return Image(data=loader, **kwargs)
             else:
                 # for images use encoded data to avoid recoding
                 def _make_image(i, **kwargs):
@@ -1172,7 +1174,7 @@ def _make_image(i, **kwargs):
             if dimension == DimensionType.DIM_2D:
                 dm_item = datum_extractor.DatasetItem(
                         id=osp.splitext(frame_data.name)[0],
-                        annotations=dm_anno, image=dm_image,
+                        annotations=dm_anno, media=dm_image,
                         attributes={'frame': frame_data.frame
                     })
             elif dimension == DimensionType.DIM_3D:
@@ -1188,7 +1190,7 @@ def _make_image(i, **kwargs):
 
                 dm_item = datum_extractor.DatasetItem(
                     id=osp.splitext(osp.split(frame_data.name)[-1])[0],
-                    annotations=dm_anno, point_cloud=dm_image[0], related_images=dm_image[1],
+                    annotations=dm_anno, media=PointCloud(dm_image[0]), related_images=dm_image[1],
                     attributes=attributes
                 )
 
@@ -1249,7 +1251,7 @@ def _make_image(i, **kwargs):
                             loader = lambda _: frame_provider.get_frame(i,
                                 quality=frame_provider.Quality.ORIGINAL,
                                 out_type=frame_provider.Type.NUMPY_ARRAY)[0]
-                            return Image(loader=loader, **kwargs)
+                            return Image(data=loader, **kwargs)
                         return _make_image
                 else:
                     # for images use encoded data to avoid recoding
@@ -1278,7 +1280,7 @@ def _make_image(i, **kwargs):
             if self._dimension == DimensionType.DIM_2D:
                 dm_item = datum_extractor.DatasetItem(
                     id=osp.splitext(frame_data.name)[0],
-                    annotations=dm_anno, image=dm_image,
+                    annotations=dm_anno, media=dm_image,
                     subset=frame_data.subset,
                     attributes={'frame': frame_data.frame}
                 )
@@ -1295,7 +1297,7 @@ def _make_image(i, **kwargs):
 
                 dm_item = datum_extractor.DatasetItem(
                     id=osp.splitext(osp.split(frame_data.name)[-1])[0],
-                    annotations=dm_anno, point_cloud=dm_image[0], related_images=dm_image[1],
+                    annotations=dm_anno, media=PointCloud(dm_image[0]), related_images=dm_image[1],
                     attributes=attributes, subset=frame_data.subset
                 )
             dm_items.append(dm_item)
@@ -1563,13 +1565,12 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
                     for n, v in ann.attributes.items()
                 ]
 
+                points = []
                 if ann.type in shapes:
                     if ann.type == datum_annotation.AnnotationType.cuboid_3d:
-                        try:
-                            ann.points = [*ann.position,*ann.rotation,*ann.scale,0,0,0,0,0,0,0]
-                        except Exception:
-                            ann.points = ann.points
-                        ann.z_order = 0
+                        points = [*ann.position, *ann.rotation, *ann.scale, 0, 0, 0, 0, 0, 0, 0]
+                    elif ann.type != datum_annotation.AnnotationType.skeleton:
+                        points = ann.points
 
                     # Use safe casting to bool instead of plain reading
                     # because in some formats return type can be different
@@ -1612,10 +1613,10 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
                         instance_data.add_shape(instance_data.LabeledShape(
                             type=shape_type,
                             frame=frame_number,
-                            points=ann.points if ann.type is not datum_annotation.AnnotationType.skeleton else [],
+                            points=points,
                             label=label_cat.items[ann.label].name,
                             occluded=occluded,
-                            z_order=ann.z_order,
+                            z_order=ann.z_order if ann.type != datum_annotation.AnnotationType.cuboid_3d else 0,
                             group=group_map.get(ann.group, 0),
                             source=source,
                             attributes=attributes,
@@ -1639,8 +1640,8 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
                             occluded=occluded,
                             outside=outside,
                             keyframe=keyframe,
-                            points=ann.points if ann.type is not datum_annotation.AnnotationType.skeleton else [],
-                            z_order=ann.z_order,
+                            points=points,
+                            z_order=ann.z_order if ann.type != datum_annotation.AnnotationType.cuboid_3d else 0,
                             source=source,
                             attributes=attributes,
                         )
diff --git a/cvat/apps/dataset_manager/formats/icdar.py b/cvat/apps/dataset_manager/formats/icdar.py
index a46173f4c871..9545248fd7f3 100644
--- a/cvat/apps/dataset_manager/formats/icdar.py
+++ b/cvat/apps/dataset_manager/formats/icdar.py
@@ -90,7 +90,7 @@ def _import(src_file, instance_data, load_data_callback=None):
     with TemporaryDirectory() as tmp_dir:
         zipfile.ZipFile(src_file).extractall(tmp_dir)
         dataset = Dataset.import_from(tmp_dir, 'icdar_word_recognition', env=dm_env)
-        dataset.transform(CaptionToLabel, 'icdar')
+        dataset.transform(CaptionToLabel, label='icdar')
         if load_data_callback is not None:
             load_data_callback(dataset, instance_data)
         import_dm_annotations(dataset, instance_data)
@@ -110,7 +110,7 @@ def _import(src_file, instance_data, load_data_callback=None):
         zipfile.ZipFile(src_file).extractall(tmp_dir)
 
         dataset = Dataset.import_from(tmp_dir, 'icdar_text_localization', env=dm_env)
-        dataset.transform(AddLabelToAnns, 'icdar')
+        dataset.transform(AddLabelToAnns, label='icdar')
         if load_data_callback is not None:
             load_data_callback(dataset, instance_data)
         import_dm_annotations(dataset, instance_data)
@@ -133,7 +133,7 @@ def _import(src_file, instance_data, load_data_callback=None):
     with TemporaryDirectory() as tmp_dir:
         zipfile.ZipFile(src_file).extractall(tmp_dir)
         dataset = Dataset.import_from(tmp_dir, 'icdar_text_segmentation', env=dm_env)
-        dataset.transform(AddLabelToAnns, 'icdar')
+        dataset.transform(AddLabelToAnns, label='icdar')
         dataset.transform('masks_to_polygons')
         if load_data_callback is not None:
             load_data_callback(dataset, instance_data)
diff --git a/cvat/apps/dataset_manager/formats/market1501.py b/cvat/apps/dataset_manager/formats/market1501.py
index f4c305d31811..a1f3b256ebf9 100644
--- a/cvat/apps/dataset_manager/formats/market1501.py
+++ b/cvat/apps/dataset_manager/formats/market1501.py
@@ -65,7 +65,7 @@ def _export(dst_file, instance_data, save_images=False):
     dataset = Dataset.from_extractors(GetCVATDataExtractor(
         instance_data, include_images=save_images), env=dm_env)
     with TemporaryDirectory() as temp_dir:
-        dataset.transform(LabelAttrToAttr, 'market-1501')
+        dataset.transform(LabelAttrToAttr, label='market-1501')
         dataset.export(temp_dir, 'market1501', save_images=save_images)
         make_zip_archive(temp_dir, dst_file)
 
@@ -75,7 +75,7 @@ def _import(src_file, instance_data, load_data_callback=None):
         zipfile.ZipFile(src_file).extractall(tmp_dir)
 
         dataset = Dataset.import_from(tmp_dir, 'market1501', env=dm_env)
-        dataset.transform(AttrToLabelAttr, 'market-1501')
+        dataset.transform(AttrToLabelAttr, label='market-1501')
         if load_data_callback is not None:
             load_data_callback(dataset, instance_data)
         import_dm_annotations(dataset, instance_data)
diff --git a/cvat/apps/dataset_manager/formats/vggface2.py b/cvat/apps/dataset_manager/formats/vggface2.py
index fc699050caf9..5b5d27cd7bf7 100644
--- a/cvat/apps/dataset_manager/formats/vggface2.py
+++ b/cvat/apps/dataset_manager/formats/vggface2.py
@@ -29,7 +29,7 @@ def _import(src_file, instance_data, load_data_callback=None):
         zipfile.ZipFile(src_file).extractall(tmp_dir)
 
         dataset = Dataset.import_from(tmp_dir, 'vgg_face2', env=dm_env)
-        dataset.transform('rename', r"|([^/]+/)?(.+)|\2|")
+        dataset.transform('rename', regex=r"|([^/]+/)?(.+)|\2|")
         if load_data_callback is not None:
             load_data_callback(dataset, instance_data)
         import_dm_annotations(dataset, instance_data)
diff --git a/cvat/apps/dataset_manager/tests/assets/annotations.json b/cvat/apps/dataset_manager/tests/assets/annotations.json
index 4ec55a94cd7d..cdd9f9836bef 100644
--- a/cvat/apps/dataset_manager/tests/assets/annotations.json
+++ b/cvat/apps/dataset_manager/tests/assets/annotations.json
@@ -533,15 +533,7 @@
   },
   "Market-1501 1.0": {
     "version": 0,
-    "tags": [
-      {
-        "frame": 1,
-        "label_id": null,
-        "group": 0,
-        "source": "manual",
-        "attributes": []
-      }
-    ],
+    "tags": [],
     "shapes": [],
     "tracks": []
   },
diff --git a/cvat/apps/dataset_manager/tests/assets/tasks.json b/cvat/apps/dataset_manager/tests/assets/tasks.json
index e301c54a2237..e5c4e140ecb7 100644
--- a/cvat/apps/dataset_manager/tests/assets/tasks.json
+++ b/cvat/apps/dataset_manager/tests/assets/tasks.json
@@ -336,7 +336,14 @@
         "name": "skeleton",
         "color": "#2080c0",
         "type": "skeleton",
-        "attributes": [],
+        "attributes": [
+          {
+            "name": "attr",
+            "mutable": false,
+            "input_type": "select",
+            "values": ["0", "1", "2"]
+          }
+        ],
         "sublabels": [
           {
             "name": "1",
@@ -353,14 +360,7 @@
           {
             "name": "3",
             "color": "#479ffe",
-            "attributes": [
-              {
-                "name": "attr",
-                "mutable": false,
-                "input_type": "select",
-                "values": ["0", "1", "2"]
-              }
-            ],
+            "attributes": [],
             "type": "points"
           }
         ],
diff --git a/cvat/apps/dataset_manager/tests/test_formats.py b/cvat/apps/dataset_manager/tests/test_formats.py
index 326a104b04e0..7d51a009367b 100644
--- a/cvat/apps/dataset_manager/tests/test_formats.py
+++ b/cvat/apps/dataset_manager/tests/test_formats.py
@@ -617,6 +617,14 @@ def _generate_task_images(self, count, name="image", **image_params):
         images["image_quality"] = 75
         return images
 
+    def _generate_task_images_by_names(self, names, **image_params):
+        images = {
+            f"client_files[{i}]": generate_image_file(f"{name}.jpg", **image_params)
+            for i, name in enumerate(names)
+        }
+        images["image_quality"] = 75
+        return images
+
     def _generate_task(self, images, annotation_format, **overrides):
         labels = []
         if annotation_format in ["ICDAR Recognition 1.0",
@@ -911,7 +919,10 @@ def test_can_import_annotations_for_image_with_dots_in_filename(self):
         for f in dm.views.get_import_formats():
             format_name = f.DISPLAY_NAME
 
-            images = self._generate_task_images(3, "img0.0.0")
+            if format_name == "Market-1501 1.0":
+                images = self._generate_task_images_by_names(["img0.0.0_0", "1.0_c3s1_000000_00", "img0.0.0_1"])
+            else:
+                images = self._generate_task_images(3, "img0.0.0")
             task = self._generate_task(images, format_name)
             self._generate_annotations(task, format_name)
 
diff --git a/cvat/apps/engine/tests/test_rest_api_3D.py b/cvat/apps/engine/tests/test_rest_api_3D.py
index 92e158301a01..35fe7bf2d4f2 100644
--- a/cvat/apps/engine/tests/test_rest_api_3D.py
+++ b/cvat/apps/engine/tests/test_rest_api_3D.py
@@ -748,6 +748,6 @@ def test_api_v2_export_dataset(self):
                             content = io.BytesIO(b"".join(response.streaming_content))
                             with open(file_name, "wb") as f:
                                 f.write(content.getvalue())
-                        self.assertEqual(osp.exists(file_name), edata['file_exists'])
-                        self._check_dump_content(content, task_ann_prev.data, format_name,related_files=False)
+                            self.assertEqual(osp.exists(file_name), edata['file_exists'])
+                            self._check_dump_content(content, task_ann_prev.data, format_name,related_files=False)
 

From 2a565ed300c29670525f7ab0277eabff00b6f1ca Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Mon, 19 Sep 2022 11:55:51 +0300
Subject: [PATCH 09/34] Fix Pylint

---
 cvat/apps/dataset_manager/bindings.py         |  2 -
 .../tests/assets/annotations.json             | 74 -------------------
 2 files changed, 76 deletions(-)

diff --git a/cvat/apps/dataset_manager/bindings.py b/cvat/apps/dataset_manager/bindings.py
index e9fc3fb6ff7d..da4c234625b6 100644
--- a/cvat/apps/dataset_manager/bindings.py
+++ b/cvat/apps/dataset_manager/bindings.py
@@ -1114,8 +1114,6 @@ def map_label(name): return label_cat.find(name)[0]
 class CvatTaskDataExtractor(datum_extractor.SourceExtractor, CVATDataExtractorMixin):
     def __init__(self, task_data, include_images=False, format_type=None, dimension=DimensionType.DIM_2D):
         super().__init__(media_type=Image if dimension == DimensionType.DIM_2D else PointCloud)
-        if dimension == DimensionType.DIM_3D:
-            a = 6
         self._categories = self._load_categories(task_data.meta['task']['labels'])
         self._user = self._load_user_info(task_data.meta['task']) if dimension == DimensionType.DIM_3D else {}
         self._dimension = dimension
diff --git a/cvat/apps/dataset_manager/tests/assets/annotations.json b/cvat/apps/dataset_manager/tests/assets/annotations.json
index cdd9f9836bef..512c5421eec5 100644
--- a/cvat/apps/dataset_manager/tests/assets/annotations.json
+++ b/cvat/apps/dataset_manager/tests/assets/annotations.json
@@ -1085,7 +1085,6 @@
             "points": [66.45, 147.08, 182.16, 204.56],
             "frame": 0,
             "outside": false,
-            "outside": true,
             "attributes": []
           },
           {
@@ -1215,50 +1214,6 @@
       }
     ]
   },
-  "CVAT for video 1.1 polygon": {
-    "version": 0,
-    "tags": [],
-    "shapes": [],
-    "tracks": [
-      {
-        "frame": 0,
-        "label_id": null,
-        "group": 1,
-        "source": "manual",
-        "shapes": [
-          {
-            "type": "polygon",
-            "occluded": false,
-            "z_order": 0,
-            "points": [24.62, 13.01, 34.88, 20.03, 18.14, 18.08],
-            "frame": 0,
-            "outside": false,
-            "attributes": []
-          },
-          {
-            "type": "polygon",
-            "occluded": false,
-            "z_order": 0,
-            "points": [24.62, 13.01, 34.88, 20.03, 18.14, 18.08],
-            "frame": 1,
-            "outside": true,
-            "attributes": []
-          },
-          {
-            "type": "polygon",
-            "occluded": false,
-            "z_order": 0,
-            "points": [24.62, 13.01, 34.88, 20.03, 18.14, 18.08],
-            "frame": 2,
-            "outside": false,
-            "keyframe": true,
-            "attributes": []
-          }
-        ],
-        "attributes": []
-      }
-    ]
-  },
   "CVAT for video 1.1 attributes in tracks": {
     "version": 0,
     "tags": [],
@@ -1294,35 +1249,6 @@
       }
     ]
   },
-  "WiderFace 1.0": {
-    "version": 0,
-    "tags": [],
-    "shapes": [
-      {
-        "type": "rectangle",
-        "occluded": false,
-        "z_order": 0,
-        "points": [7.55, 9.75, 16.44, 15.85],
-        "frame": 0,
-        "label_id": null,
-        "group": 0,
-        "source": "manual",
-        "attributes": []
-      },
-      {
-        "type": "rectangle",
-        "occluded": true,
-        "z_order": 0,
-        "points": [3.55, 27.75, 11.33, 33.71],
-        "frame": 1,
-        "label_id": null,
-        "group": 0,
-        "source": "manual",
-        "attributes": []
-      }
-    ],
-    "tracks": []
-  },
   "KITTI 1.0": {
     "version": 0,
     "tags": [],

From 1fc4d420ee55dc95aaaecbc1f0b48b8b4360020d Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Mon, 19 Sep 2022 12:09:32 +0300
Subject: [PATCH 10/34] Small fix

---
 .../tests/assets/annotations.json             | 66 ++++++++-----------
 1 file changed, 29 insertions(+), 37 deletions(-)

diff --git a/cvat/apps/dataset_manager/tests/assets/annotations.json b/cvat/apps/dataset_manager/tests/assets/annotations.json
index 512c5421eec5..e92ed404d6a8 100644
--- a/cvat/apps/dataset_manager/tests/assets/annotations.json
+++ b/cvat/apps/dataset_manager/tests/assets/annotations.json
@@ -708,43 +708,6 @@
     ],
     "tracks": []
   },
-  "WiderFace 1.0": {
-    "version": 0,
-    "tags": [
-      {
-        "frame": 0,
-        "label_id": null,
-        "group": 0,
-        "source": "manual",
-        "attributes": []
-      }
-    ],
-    "shapes": [
-      {
-        "type": "rectangle",
-        "occluded": false,
-        "z_order": 0,
-        "points": [7.55, 9.75, 16.44, 15.85],
-        "frame": 0,
-        "label_id": null,
-        "group": 0,
-        "source": "manual",
-        "attributes": []
-      },
-      {
-        "type": "rectangle",
-        "occluded": true,
-        "z_order": 0,
-        "points": [3.55, 27.75, 11.33, 33.71],
-        "frame": 0,
-        "label_id": null,
-        "group": 0,
-        "source": "manual",
-        "attributes": []
-      }
-    ],
-    "tracks": []
-  },
   "VGGFace2 1.0": {
     "version": 0,
     "tags": [],
@@ -1249,6 +1212,35 @@
       }
     ]
   },
+  "WiderFace 1.0": {
+    "version": 0,
+    "tags": [],
+    "shapes": [
+      {
+        "type": "rectangle",
+        "occluded": false,
+        "z_order": 0,
+        "points": [7.55, 9.75, 16.44, 15.85],
+        "frame": 0,
+        "label_id": null,
+        "group": 0,
+        "source": "manual",
+        "attributes": []
+      },
+      {
+        "type": "rectangle",
+        "occluded": true,
+        "z_order": 0,
+        "points": [3.55, 27.75, 11.33, 33.71],
+        "frame": 1,
+        "label_id": null,
+        "group": 0,
+        "source": "manual",
+        "attributes": []
+      }
+    ],
+    "tracks": []
+  },
   "KITTI 1.0": {
     "version": 0,
     "tags": [],

From cc72a507b02773d093c73d515130bf6fe7761c85 Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Mon, 19 Sep 2022 12:17:49 +0300
Subject: [PATCH 11/34] Fix test

---
 cvat/apps/dataset_manager/bindings.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/cvat/apps/dataset_manager/bindings.py b/cvat/apps/dataset_manager/bindings.py
index da4c234625b6..0d5dbb39fb09 100644
--- a/cvat/apps/dataset_manager/bindings.py
+++ b/cvat/apps/dataset_manager/bindings.py
@@ -17,8 +17,8 @@
 import rq
 from attr import attrib, attrs
 from datumaro.components.dataset import Dataset
-from datumaro.util import cast
 from datumaro.components.media import ByteImage, Image, PointCloud
+from datumaro.util import cast
 from django.utils import timezone
 
 from cvat.apps.dataset_manager.formats.utils import get_label_color
@@ -1058,7 +1058,7 @@ def add_task(self, task, files):
         self._project_annotation.add_task(task, files, self)
 
 class CVATDataExtractorMixin:
-    def __init__(self):
+    def __init__(self, media_type=Image):
         super().__init__()
 
     def categories(self) -> dict:

From 07e1e5f846463150342982912098c3a55318d14f Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Mon, 19 Sep 2022 15:33:12 +0300
Subject: [PATCH 12/34] Small fix

---
 cvat/apps/dataset_manager/bindings.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/cvat/apps/dataset_manager/bindings.py b/cvat/apps/dataset_manager/bindings.py
index 0d5dbb39fb09..c31bd84f9cfc 100644
--- a/cvat/apps/dataset_manager/bindings.py
+++ b/cvat/apps/dataset_manager/bindings.py
@@ -1209,7 +1209,7 @@ def map_label(name, parent=""): return label_cat.find(name, parent)[0]
 
 class CVATProjectDataExtractor(datum_extractor.Extractor, CVATDataExtractorMixin):
     def __init__(self, project_data: ProjectData, include_images: bool = False, format_type: str = None, dimension: DimensionType = DimensionType.DIM_2D):
-        super().__init__()
+        super().__init__(media_type=Image if dimension == DimensionType.DIM_2D else PointCloud)
         self._categories = self._load_categories(project_data.meta['project']['labels'])
         self._user = self._load_user_info(project_data.meta['project']) if dimension == DimensionType.DIM_3D else {}
         self._dimension = dimension

From 3a36bbe87a715677933926218c7f29a448ee80c2 Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Tue, 20 Sep 2022 10:06:36 +0300
Subject: [PATCH 13/34] Add a test to create a task

---
 tests/python/rest_api/test_tasks.py | 62 +++++++++++++++++++++++++++++
 1 file changed, 62 insertions(+)

diff --git a/tests/python/rest_api/test_tasks.py b/tests/python/rest_api/test_tasks.py
index d4da5fca760a..4bd1142532e5 100644
--- a/tests/python/rest_api/test_tasks.py
+++ b/tests/python/rest_api/test_tasks.py
@@ -157,6 +157,68 @@ def test_worker_cannot_create_task_in_project_without_ownership(self, org, proje
         users = find_users(org=org['id'], role=role)
         self._test_users_to_create_task_in_project(project_id, users, is_staff, is_allow, is_project_staff, org=org['slug'])
 
+    def test_can_create_task_with_skeleton(self):
+        username = "admin1"
+
+        spec = {
+            "name": f'test admin1 to create a task with skeleton',
+            "labels": [
+                {
+                "name": "s1",
+                "color": "#5c5eba",
+                "attributes": [
+                    {
+                    "name": "color",
+                    "mutable": False,
+                    "input_type": "select",
+                    "default_value": "white",
+                    "values": [
+                        "white",
+                        "black"
+                    ]
+                    }
+                ],
+                "type": "skeleton",
+                "sublabels": [
+                    {
+                    "name": "1",
+                    "color": "#d53957",
+                    "attributes": [
+                        {
+                        "id": 23,
+                        "name": "attr",
+                        "mutable": False,
+                        "input_type": "select",
+                        "default_value": "val1",
+                        "values": [
+                            "val1",
+                            "val2"
+                        ]
+                        }
+                    ],
+                    "type": "points"
+                    },
+                    {
+                    "name": "2",
+                    "color": "#4925ec",
+                    "attributes": [],
+                    "type": "points"
+                    },
+                    {
+                    "name": "3",
+                    "color": "#59a8fe",
+                    "attributes": [],
+                    "type": "points"
+                    }
+                ],
+                "svg": "<line x1=\"36.329429626464844\" y1=\"45.98662185668945\" x2=\"59.07190704345703\" y2=\"23.076923370361328\" stroke=\"black\" data-type=\"edge\" data-node-from=\"2\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"22.61705780029297\" y1=\"25.75250816345215\" x2=\"36.329429626464844\" y2=\"45.98662185668945\" 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=\"22.61705780029297\" cy=\"25.75250816345215\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-name=\"1\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"36.329429626464844\" cy=\"45.98662185668945\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-name=\"2\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"59.07190704345703\" cy=\"23.076923370361328\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-name=\"3\"></circle>"
+                }
+            ]
+        }
+
+        self._test_create_task_201(username, spec)
+
+
 @pytest.mark.usefixtures('dontchangedb')
 class TestGetData:
     _USERNAME = 'user1'

From b1c41a52c17241cafab8be5394ae0ac02942bc5d Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Wed, 21 Sep 2022 12:27:46 +0300
Subject: [PATCH 14/34] Add tests

---
 tests/python/rest_api/test_projects.py        |  48 +-
 tests/python/shared/assets/annotations.json   |  12 +
 .../shared/assets/cvat_db/cvat_data.tar.bz2   | Bin 54868 -> 58479 bytes
 tests/python/shared/assets/cvat_db/data.json  | 569 +++++++++++++++++-
 tests/python/shared/assets/jobs.json          | 199 +++++-
 tests/python/shared/assets/projects.json      | 214 ++++++-
 tests/python/shared/assets/tasks.json         | 237 +++++++-
 tests/python/shared/assets/users.json         |   2 +-
 8 files changed, 1248 insertions(+), 33 deletions(-)

diff --git a/tests/python/rest_api/test_projects.py b/tests/python/rest_api/test_projects.py
index ab26029535c6..7f9c0b8254be 100644
--- a/tests/python/rest_api/test_projects.py
+++ b/tests/python/rest_api/test_projects.py
@@ -13,7 +13,7 @@
 from copy import deepcopy
 from deepdiff import DeepDiff
 
-from shared.utils.config import get_method, patch_method, make_api_client
+from shared.utils.config import get_method, patch_method, make_api_client, post_files_method, post_method
 from .utils import export_dataset
 
 
@@ -349,6 +349,52 @@ def test_can_import_dataset_in_org(self, admin_user):
 
         self._test_import_project(admin_user, project_id, 'CVAT 1.1', import_data)
 
+    def test_can_export_and_import_dataset_with_skeletons(self, admin_user):
+        project_id = 5
+
+        export_formats = ["COCO Keypoints 1.0", "CVAT for images 1.1", "CVAT for video 1.1"]
+        import_formats = ["COCO Keypoints 1.0", "CVAT 1.1", "CVAT 1.1"]
+
+        for export_format, import_format in zip(export_formats, import_formats):
+            response = self._test_export_project(admin_user, project_id, export_format)
+
+            tmp_file = io.BytesIO(response.data)
+            tmp_file.name = 'dataset.zip'
+
+            import_data = {
+                'dataset_file': tmp_file,
+            }
+
+            self._test_import_project(admin_user, project_id, import_format, import_data)
+
+    def _test_can_get_project_backup(self, username, pid, **kwargs):
+        for _ in range(30):
+            response = get_method(username, f"projects/{pid}/backup", **kwargs)
+            response.raise_for_status()
+            if response.status_code == HTTPStatus.CREATED:
+                break
+            sleep(1)
+        response = get_method(username, f"projects/{pid}/backup", action="download", **kwargs)
+        assert response.status_code == HTTPStatus.OK
+        return response
+
+    def test_admin_can_get_project_backup_and_create_project_by_backup(self, admin_user):
+        project_id = 5
+        response = self._test_can_get_project_backup(admin_user, project_id)
+
+        tmp_file = io.BytesIO(response.content)
+        tmp_file.name = 'dataset.zip'
+
+        import_data = {
+            'project_file': tmp_file,
+        }
+
+        with make_api_client(admin_user) as api_client:
+            (_, response) = api_client.projects_api.create_backup(
+                backup_write_request=deepcopy(import_data),
+                _content_type="multipart/form-data")
+            assert response.status == HTTPStatus.ACCEPTED
+
 @pytest.mark.usefixtures('changedb')
 class TestPatchProjectLabel:
     def test_admin_can_delete_label(self, projects):
diff --git a/tests/python/shared/assets/annotations.json b/tests/python/shared/assets/annotations.json
index 837f107f1028..6bff9afa7a3f 100644
--- a/tests/python/shared/assets/annotations.json
+++ b/tests/python/shared/assets/annotations.json
@@ -364,6 +364,12 @@
       "tags": [],
       "tracks": [],
       "version": 0
+    },
+    "18": {
+      "shapes": [],
+      "tags": [],
+      "tracks": [],
+      "version": 0
     }
   },
   "task": {
@@ -719,6 +725,12 @@
       "tags": [],
       "tracks": [],
       "version": 0
+    },
+    "14": {
+      "shapes": [],
+      "tags": [],
+      "tracks": [],
+      "version": 0
     }
   }
 }
\ No newline at end of file
diff --git a/tests/python/shared/assets/cvat_db/cvat_data.tar.bz2 b/tests/python/shared/assets/cvat_db/cvat_data.tar.bz2
index 5736377960d58cdf054ddad7d4fbce05fb519181..996ce6f554d83830b7744a535dca6a66f372061c 100644
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diff --git a/tests/python/shared/assets/cvat_db/data.json b/tests/python/shared/assets/cvat_db/data.json
index 635db39f6586..22c2ff972ce0 100644
--- a/tests/python/shared/assets/cvat_db/data.json
+++ b/tests/python/shared/assets/cvat_db/data.json
@@ -36,7 +36,7 @@
   "pk": 1,
   "fields": {
     "password": "pbkdf2_sha256$260000$DevmxlmLwciP1P6sZs2Qag$U9DFtjTWx96Sk95qY6UXVcvpdQEP2LcoFBftk5D2RKY=",
-    "last_login": "2022-07-19T14:27:42.006Z",
+    "last_login": "2022-09-21T07:30:11.348Z",
     "is_superuser": true,
     "username": "admin1",
     "first_name": "Admin",
@@ -455,6 +455,14 @@
     "user_permissions": []
   }
 },
+{
+  "model": "sessions.session",
+  "pk": "367mioixw2ryaso0wmfsv8k3ftscaeqi",
+  "fields": {
+    "session_data": ".eJxVjDkOwjAUBe_iGll4w_mU9JzB-ptwADlSnFSIu0OkFNC-mXkvU3Bdalm7zmUUczbOHH43Qn5o24Dcsd0my1Nb5pHsptiddnudRJ-X3f07qNjrtwbvY-YkzJEhBMCMoOQzHl1UIRlAQT2QyzESJ3eSkBNBUICMaUDz_gDnlzft:1oauBP:YfAF6bOrO0vcPuTZJquSvHif0yb3o-eTj4BraKGeHcY",
+    "expire_date": "2022-10-05T07:30:11.361Z"
+  }
+},
 {
   "model": "sessions.session",
   "pk": "5x9v6r58e4l9if78anupog0ittsq2w3j",
@@ -1065,6 +1073,25 @@
     "deleted_frames": "[]"
   }
 },
+{
+  "model": "engine.data",
+  "pk": 13,
+  "fields": {
+    "chunk_size": 72,
+    "size": 9,
+    "image_quality": 70,
+    "start_frame": 0,
+    "stop_frame": 8,
+    "frame_filter": "",
+    "compressed_chunk_type": "imageset",
+    "original_chunk_type": "imageset",
+    "storage_method": "cache",
+    "storage": "local",
+    "cloud_storage": null,
+    "sorting_method": "lexicographical",
+    "deleted_frames": "[]"
+  }
+},
 {
   "model": "engine.video",
   "pk": 1,
@@ -2010,6 +2037,105 @@
     "height": 483
   }
 },
+{
+  "model": "engine.image",
+  "pk": 433,
+  "fields": {
+    "data": 13,
+    "path": "1.png",
+    "frame": 0,
+    "width": 783,
+    "height": 760
+  }
+},
+{
+  "model": "engine.image",
+  "pk": 434,
+  "fields": {
+    "data": 13,
+    "path": "2.png",
+    "frame": 1,
+    "width": 528,
+    "height": 458
+  }
+},
+{
+  "model": "engine.image",
+  "pk": 435,
+  "fields": {
+    "data": 13,
+    "path": "3.png",
+    "frame": 2,
+    "width": 520,
+    "height": 350
+  }
+},
+{
+  "model": "engine.image",
+  "pk": 436,
+  "fields": {
+    "data": 13,
+    "path": "4.png",
+    "frame": 3,
+    "width": 569,
+    "height": 483
+  }
+},
+{
+  "model": "engine.image",
+  "pk": 437,
+  "fields": {
+    "data": 13,
+    "path": "5.png",
+    "frame": 4,
+    "width": 514,
+    "height": 935
+  }
+},
+{
+  "model": "engine.image",
+  "pk": 438,
+  "fields": {
+    "data": 13,
+    "path": "6.png",
+    "frame": 5,
+    "width": 502,
+    "height": 705
+  }
+},
+{
+  "model": "engine.image",
+  "pk": 439,
+  "fields": {
+    "data": 13,
+    "path": "7.png",
+    "frame": 6,
+    "width": 541,
+    "height": 825
+  }
+},
+{
+  "model": "engine.image",
+  "pk": 440,
+  "fields": {
+    "data": 13,
+    "path": "8.png",
+    "frame": 7,
+    "width": 883,
+    "height": 208
+  }
+},
+{
+  "model": "engine.image",
+  "pk": 441,
+  "fields": {
+    "data": 13,
+    "path": "9.png",
+    "frame": 8,
+    "width": 617,
+    "height": 167
+  }
+},
 {
   "model": "engine.project",
   "pk": 1,
@@ -2088,6 +2214,24 @@
     "target_storage": null
   }
 },
+{
+  "model": "engine.project",
+  "pk": 5,
+  "fields": {
+    "name": "project5",
+    "owner": [
+      "admin1"
+    ],
+    "assignee": null,
+    "bug_tracker": "",
+    "created_date": "2022-09-21T07:30:22.607Z",
+    "updated_date": "2022-09-21T07:31:55.223Z",
+    "status": "annotation",
+    "organization": null,
+    "source_storage": 5,
+    "target_storage": 6
+  }
+},
 {
   "model": "engine.task",
   "pk": 2,
@@ -2325,6 +2469,31 @@
     "target_storage": null
   }
 },
+{
+  "model": "engine.task",
+  "pk": 14,
+  "fields": {
+    "project": 5,
+    "name": "task1 in project5",
+    "mode": "annotation",
+    "owner": [
+      "admin1"
+    ],
+    "assignee": null,
+    "bug_tracker": "",
+    "created_date": "2022-09-21T07:30:41.530Z",
+    "updated_date": "2022-09-21T07:30:41.758Z",
+    "overlap": 0,
+    "segment_size": 9,
+    "status": "annotation",
+    "data": 13,
+    "dimension": "2d",
+    "subset": "",
+    "organization": null,
+    "source_storage": 7,
+    "target_storage": 8
+  }
+},
 {
   "model": "engine.clientfile",
   "pk": 131,
@@ -3013,6 +3182,78 @@
     "file": "/home/django/data/data/12/raw/2.png"
   }
 },
+{
+  "model": "engine.clientfile",
+  "pk": 434,
+  "fields": {
+    "data": 13,
+    "file": "/home/django/data/data/13/raw/6.png"
+  }
+},
+{
+  "model": "engine.clientfile",
+  "pk": 435,
+  "fields": {
+    "data": 13,
+    "file": "/home/django/data/data/13/raw/4.png"
+  }
+},
+{
+  "model": "engine.clientfile",
+  "pk": 436,
+  "fields": {
+    "data": 13,
+    "file": "/home/django/data/data/13/raw/9.png"
+  }
+},
+{
+  "model": "engine.clientfile",
+  "pk": 437,
+  "fields": {
+    "data": 13,
+    "file": "/home/django/data/data/13/raw/7.png"
+  }
+},
+{
+  "model": "engine.clientfile",
+  "pk": 438,
+  "fields": {
+    "data": 13,
+    "file": "/home/django/data/data/13/raw/1.png"
+  }
+},
+{
+  "model": "engine.clientfile",
+  "pk": 439,
+  "fields": {
+    "data": 13,
+    "file": "/home/django/data/data/13/raw/3.png"
+  }
+},
+{
+  "model": "engine.clientfile",
+  "pk": 440,
+  "fields": {
+    "data": 13,
+    "file": "/home/django/data/data/13/raw/8.png"
+  }
+},
+{
+  "model": "engine.clientfile",
+  "pk": 441,
+  "fields": {
+    "data": 13,
+    "file": "/home/django/data/data/13/raw/5.png"
+  }
+},
+{
+  "model": "engine.clientfile",
+  "pk": 442,
+  "fields": {
+    "data": 13,
+    "file": "/home/django/data/data/13/raw/2.png"
+  }
+},
 {
   "model": "engine.relatedfile",
   "pk": 1,
@@ -3121,6 +3362,15 @@
     "stop_frame": 4
   }
 },
+{
+  "model": "engine.segment",
+  "pk": 18,
+  "fields": {
+    "task": 14,
+    "start_frame": 0,
+    "stop_frame": 8
+  }
+},
 {
   "model": "engine.job",
   "pk": 2,
@@ -3263,6 +3513,18 @@
     "state": "in progress"
   }
 },
+{
+  "model": "engine.job",
+  "pk": 18,
+  "fields": {
+    "segment": 18,
+    "assignee": null,
+    "updated_date": "2022-09-21T07:30:41.741Z",
+    "status": "annotation",
+    "stage": "annotation",
+    "state": "new"
+  }
+},
 {
   "model": "engine.label",
   "pk": 3,
@@ -3270,7 +3532,9 @@
     "task": 2,
     "project": null,
     "name": "car",
-    "color": "#2080c0"
+    "color": "#2080c0",
+    "type": "any",
+    "parent": null
   }
 },
 {
@@ -3280,7 +3544,9 @@
     "task": 2,
     "project": null,
     "name": "person",
-    "color": "#c06060"
+    "color": "#c06060",
+    "type": "any",
+    "parent": null
   }
 },
 {
@@ -3290,7 +3556,9 @@
     "task": null,
     "project": 1,
     "name": "car",
-    "color": "#2080c0"
+    "color": "#2080c0",
+    "type": "any",
+    "parent": null
   }
 },
 {
@@ -3300,7 +3568,9 @@
     "task": null,
     "project": 1,
     "name": "person",
-    "color": "#c06060"
+    "color": "#c06060",
+    "type": "any",
+    "parent": null
   }
 },
 {
@@ -3310,7 +3580,9 @@
     "task": null,
     "project": 2,
     "name": "cat",
-    "color": "#6080c0"
+    "color": "#6080c0",
+    "type": "any",
+    "parent": null
   }
 },
 {
@@ -3320,7 +3592,9 @@
     "task": null,
     "project": 2,
     "name": "dog",
-    "color": "#406040"
+    "color": "#406040",
+    "type": "any",
+    "parent": null
   }
 },
 {
@@ -3330,7 +3604,9 @@
     "task": 5,
     "project": null,
     "name": "car",
-    "color": "#2080c0"
+    "color": "#2080c0",
+    "type": "any",
+    "parent": null
   }
 },
 {
@@ -3340,7 +3616,9 @@
     "task": 6,
     "project": null,
     "name": "car",
-    "color": "#2080c0"
+    "color": "#2080c0",
+    "type": "any",
+    "parent": null
   }
 },
 {
@@ -3350,7 +3628,9 @@
     "task": 7,
     "project": null,
     "name": "cat",
-    "color": "#6080c0"
+    "color": "#6080c0",
+    "type": "any",
+    "parent": null
   }
 },
 {
@@ -3360,7 +3640,9 @@
     "task": 7,
     "project": null,
     "name": "dog",
-    "color": "#406040"
+    "color": "#406040",
+    "type": "any",
+    "parent": null
   }
 },
 {
@@ -3370,7 +3652,9 @@
     "task": 8,
     "project": null,
     "name": "cat",
-    "color": "#6080c0"
+    "color": "#6080c0",
+    "type": "any",
+    "parent": null
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 },
 {
@@ -3380,7 +3664,9 @@
     "task": 8,
     "project": null,
     "name": "dog",
-    "color": "#406040"
+    "color": "#406040",
+    "type": "any",
+    "parent": null
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 },
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@@ -3390,7 +3676,9 @@
     "task": 12,
     "project": null,
     "name": "Car",
-    "color": "#2080c0"
+    "color": "#2080c0",
+    "type": "any",
+    "parent": null
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 },
 {
@@ -3400,7 +3688,9 @@
     "task": null,
     "project": 4,
     "name": "cat",
-    "color": "#6080c0"
+    "color": "#6080c0",
+    "type": "any",
+    "parent": null
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 },
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@@ -3410,7 +3700,133 @@
     "task": null,
     "project": 4,
     "name": "dog",
-    "color": "#406040"
+    "color": "#406040",
+    "type": "any",
+    "parent": null
+  }
+},
+{
+  "model": "engine.label",
+  "pk": 18,
+  "fields": {
+    "task": null,
+    "project": 5,
+    "name": "s1",
+    "color": "#5c5eba",
+    "type": "skeleton",
+    "parent": null
+  }
+},
+{
+  "model": "engine.label",
+  "pk": 19,
+  "fields": {
+    "task": null,
+    "project": 5,
+    "name": "1",
+    "color": "#d12345",
+    "type": "points",
+    "parent": 18
+  }
+},
+{
+  "model": "engine.label",
+  "pk": 20,
+  "fields": {
+    "task": null,
+    "project": 5,
+    "name": "2",
+    "color": "#350dea",
+    "type": "points",
+    "parent": 18
+  }
+},
+{
+  "model": "engine.label",
+  "pk": 21,
+  "fields": {
+    "task": null,
+    "project": 5,
+    "name": "3",
+    "color": "#479ffe",
+    "type": "points",
+    "parent": 18
+  }
+},
+{
+  "model": "engine.label",
+  "pk": 22,
+  "fields": {
+    "task": null,
+    "project": 5,
+    "name": "s2",
+    "color": "#0c81b5",
+    "type": "skeleton",
+    "parent": null
+  }
+},
+{
+  "model": "engine.label",
+  "pk": 23,
+  "fields": {
+    "task": null,
+    "project": 5,
+    "name": "1",
+    "color": "#d53957",
+    "type": "points",
+    "parent": 22
+  }
+},
+{
+  "model": "engine.label",
+  "pk": 24,
+  "fields": {
+    "task": null,
+    "project": 5,
+    "name": "2",
+    "color": "#4925ec",
+    "type": "points",
+    "parent": 22
+  }
+},
+{
+  "model": "engine.label",
+  "pk": 25,
+  "fields": {
+    "task": null,
+    "project": 5,
+    "name": "3",
+    "color": "#59a8fe",
+    "type": "points",
+    "parent": 22
+  }
+},
+{
+  "model": "engine.label",
+  "pk": 26,
+  "fields": {
+    "task": null,
+    "project": 5,
+    "name": "4",
+    "color": "#4a649f",
+    "type": "points",
+    "parent": 22
+  }
+},
+{
+  "model": "engine.skeleton",
+  "pk": 1,
+  "fields": {
+    "root": 18,
+    "svg": "<line x1=\"32.026023864746094\" y1=\"60.70234298706055\" x2=\"69.65144348144531\" y2=\"27.090301513671875\" stroke=\"black\" data-type=\"edge\" data-node-from=\"2\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"6.44074010848999\" y1=\"30.769229888916016\" x2=\"32.026023864746094\" y2=\"60.70234298706055\" 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=\"6.44074010848999\" cy=\"30.769229888916016\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"19\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"32.026023864746094\" cy=\"60.70234298706055\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"20\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"69.65144348144531\" cy=\"27.090301513671875\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-id=\"21\"></circle>"
+  }
+},
+{
+  "model": "engine.skeleton",
+  "pk": 2,
+  "fields": {
+    "root": 22,
+    "svg": "<line x1=\"70.15311431884766\" y1=\"23.4113712310791\" x2=\"36.37385177612305\" y2=\"69.7324447631836\" stroke=\"black\" data-type=\"edge\" data-node-from=\"3\" stroke-width=\"0.5\" data-node-to=\"2\"></line><line x1=\"81.18990325927734\" y1=\"57.85953140258789\" x2=\"70.15311431884766\" y2=\"23.4113712310791\" stroke=\"black\" data-type=\"edge\" data-node-from=\"4\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"18.81532096862793\" y1=\"31.438127517700195\" x2=\"81.18990325927734\" y2=\"57.85953140258789\" 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=\"18.81532096862793\" cy=\"31.438127517700195\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"23\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"36.37385177612305\" cy=\"69.7324447631836\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"24\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"70.15311431884766\" cy=\"23.4113712310791\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-id=\"25\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"81.18990325927734\" cy=\"57.85953140258789\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"4\" data-node-id=\"4\" data-label-id=\"26\"></circle>"
   }
 },
 {
@@ -3425,6 +3841,30 @@
     "values": "mazda\nvolvo\nbmw"
   }
 },
+{
+  "model": "engine.attributespec",
+  "pk": 2,
+  "fields": {
+    "label": 22,
+    "name": "color",
+    "mutable": false,
+    "input_type": "select",
+    "default_value": "white",
+    "values": "white\nblack"
+  }
+},
+{
+  "model": "engine.attributespec",
+  "pk": 3,
+  "fields": {
+    "label": 25,
+    "name": "attr",
+    "mutable": false,
+    "input_type": "select",
+    "default_value": "val1",
+    "values": "val1\nval2"
+  }
+},
 {
   "model": "engine.jobcommit",
   "pk": 1,
@@ -4095,6 +4535,23 @@
     "job": 17
   }
 },
+{
+  "model": "engine.jobcommit",
+  "pk": 67,
+  "fields": {
+    "scope": "create",
+    "owner": [
+      "admin1"
+    ],
+    "timestamp": "2022-09-21T07:30:41.744Z",
+    "data": {
+      "stage": "annotation",
+      "state": "new",
+      "assignee": null
+    },
+    "job": 18
+  }
+},
 {
   "model": "engine.labeledshape",
   "pk": 1,
@@ -4106,9 +4563,11 @@
     "source": "manual",
     "type": "rectangle",
     "occluded": false,
+    "outside": false,
     "z_order": 0,
     "points": "[223.39453125, 226.0751953125, 513.7663269042969, 377.9619903564453]",
-    "rotation": 0.0
+    "rotation": 0.0,
+    "parent": null
   }
 },
 {
@@ -4122,9 +4581,11 @@
     "source": "manual",
     "type": "polygon",
     "occluded": false,
+    "outside": false,
     "z_order": 0,
     "points": "[63.0791015625, 139.75390625, 132.19337349397574, 112.3867469879533, 189.71144578313397, 159.23614457831354, 191.1030120481937, 246.9048192771097, 86.73554216867524, 335.5012048192784, 32.00060240964012, 250.15180722891637]",
-    "rotation": 0.0
+    "rotation": 0.0,
+    "parent": null
   }
 },
 {
@@ -4138,9 +4599,11 @@
     "source": "manual",
     "type": "polygon",
     "occluded": false,
+    "outside": false,
     "z_order": 0,
     "points": "[83.0244140625, 216.75390625, 112.24759036144678, 162.48313253012202, 167.44638554216908, 183.35662650602535, 149.35602409638705, 252.0072289156633, 84.41626506024113, 292.8265060240974, 72.81987951807241, 258.9650602409638]",
-    "rotation": 0.0
+    "rotation": 0.0,
+    "parent": null
   }
 },
 {
@@ -4154,9 +4617,11 @@
     "source": "manual",
     "type": "polyline",
     "occluded": false,
+    "outside": false,
     "z_order": 0,
     "points": "[24.443359375, 107.2275390625, 84.91109877913368, 61.125083240844106, 169.4316315205324, 75.1561598224198, 226.5581576026634, 113.90865704772477, 240.5892341842391, 205.77880133185317, 210.52264150943483, 270.9230854605994]",
-    "rotation": 0.0
+    "rotation": 0.0,
+    "parent": null
   }
 },
 {
@@ -4170,9 +4635,11 @@
     "source": "manual",
     "type": "points",
     "occluded": false,
+    "outside": false,
     "z_order": 0,
     "points": "[148.94921875, 285.6865234375, 313.515094339622, 400.32830188679145, 217.36415094339463, 585.2339622641503, 64.81698113207494, 499.25283018867776]",
-    "rotation": 0.0
+    "rotation": 0.0,
+    "parent": null
   }
 },
 {
@@ -4186,9 +4653,11 @@
     "source": "manual",
     "type": "polygon",
     "occluded": false,
+    "outside": false,
     "z_order": 0,
     "points": "[448.3779296875, 356.4892578125, 438.2558352402775, 761.3861556064112, 744.1780320366161, 319.37356979405195, 446.1288329519466, 163.03832951945333]",
-    "rotation": 0.0
+    "rotation": 0.0,
+    "parent": null
   }
 },
 {
@@ -4202,9 +4671,11 @@
     "source": "manual",
     "type": "polygon",
     "occluded": false,
+    "outside": false,
     "z_order": 0,
     "points": "[364.0361328125, 528.87890625, 609.5286041189956, 586.544622425632, 835.2494279176244, 360.0000000000018, 543.6247139588122, 175.4691075514893, 326.9656750572103, 192.76887871853796, 244.58581235698148, 319.63386727689067]",
-    "rotation": 0.0
+    "rotation": 0.0,
+    "parent": null
   }
 },
 {
@@ -4218,9 +4689,11 @@
     "source": "manual",
     "type": "polygon",
     "occluded": false,
+    "outside": false,
     "z_order": 0,
     "points": "[440.0439453125, 84.0791015625, 71.83311938382576, 249.81514762516053, 380.4441591784325, 526.585365853658, 677.6251604621302, 260.42875481386363, 629.4557124518615, 127.35044929396645]",
-    "rotation": 0.0
+    "rotation": 0.0,
+    "parent": null
   }
 },
 {
@@ -4234,9 +4707,11 @@
     "source": "manual",
     "type": "rectangle",
     "occluded": false,
+    "outside": false,
     "z_order": 0,
     "points": "[65.6189987163034, 100.96585365853753, 142.12734274711147, 362.6243902439037]",
-    "rotation": 0.0
+    "rotation": 0.0,
+    "parent": null
   }
 },
 {
@@ -4250,9 +4725,11 @@
     "source": "manual",
     "type": "polyline",
     "occluded": false,
+    "outside": false,
     "z_order": 0,
     "points": "[100.14453125, 246.03515625, 408.8692551505537, 327.5483359746413, 588.5839936608554, 289.0380348652925, 623.8851030110927, 183.77654516640177, 329.2812995245622, 71.45483359746322]",
-    "rotation": 0.0
+    "rotation": 0.0,
+    "parent": null
   }
 },
 {
@@ -4266,9 +4743,11 @@
     "source": "manual",
     "type": "rectangle",
     "occluded": false,
+    "outside": false,
     "z_order": 0,
     "points": "[106.36066411239153, 85.1515964240134, 240.08352490421748, 241.26526181354166]",
-    "rotation": 0.0
+    "rotation": 0.0,
+    "parent": null
   }
 },
 {
@@ -4282,9 +4761,11 @@
     "source": "manual",
     "type": "rectangle",
     "occluded": false,
+    "outside": false,
     "z_order": 0,
     "points": "[414.29522752496996, 124.8035516093205, 522.2641509433943, 286.75693673695605]",
-    "rotation": 0.0
+    "rotation": 0.0,
+    "parent": null
   }
 },
 {
@@ -4758,6 +5239,38 @@
     "cloud_storage_id": 2
   }
 },
+{
+  "model": "engine.storage",
+  "pk": 5,
+  "fields": {
+    "location": "local",
+    "cloud_storage_id": null
+  }
+},
+{
+  "model": "engine.storage",
+  "pk": 6,
+  "fields": {
+    "location": "local",
+    "cloud_storage_id": null
+  }
+},
+{
+  "model": "engine.storage",
+  "pk": 7,
+  "fields": {
+    "location": "local",
+    "cloud_storage_id": null
+  }
+},
+{
+  "model": "engine.storage",
+  "pk": 8,
+  "fields": {
+    "location": "local",
+    "cloud_storage_id": null
+  }
+},
 {
   "model": "admin.logentry",
   "pk": 1,
diff --git a/tests/python/shared/assets/jobs.json b/tests/python/shared/assets/jobs.json
index bbe10473e3e2..c6e54f4f2b39 100644
--- a/tests/python/shared/assets/jobs.json
+++ b/tests/python/shared/assets/jobs.json
@@ -1,8 +1,205 @@
 {
-  "count": 11,
+  "count": 12,
   "next": null,
   "previous": null,
   "results": [
+    {
+      "assignee": null,
+      "bug_tracker": "",
+      "data_chunk_size": 72,
+      "data_compressed_chunk_type": "imageset",
+      "dimension": "2d",
+      "id": 18,
+      "labels": [
+        {
+          "attributes": [],
+          "color": "#4a649f",
+          "has_parent": true,
+          "id": 26,
+          "name": "4",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [
+            {
+              "default_value": "val1",
+              "id": 3,
+              "input_type": "select",
+              "mutable": false,
+              "name": "attr",
+              "values": [
+                "val1",
+                "val2"
+              ]
+            }
+          ],
+          "color": "#59a8fe",
+          "has_parent": true,
+          "id": 25,
+          "name": "3",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [],
+          "color": "#4925ec",
+          "has_parent": true,
+          "id": 24,
+          "name": "2",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [],
+          "color": "#d53957",
+          "has_parent": true,
+          "id": 23,
+          "name": "1",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [
+            {
+              "default_value": "white",
+              "id": 2,
+              "input_type": "select",
+              "mutable": false,
+              "name": "color",
+              "values": [
+                "white",
+                "black"
+              ]
+            }
+          ],
+          "color": "#0c81b5",
+          "has_parent": false,
+          "id": 22,
+          "name": "s2",
+          "sublabels": [
+            {
+              "attributes": [],
+              "color": "#4a649f",
+              "has_parent": true,
+              "id": 26,
+              "name": "4",
+              "type": "points"
+            },
+            {
+              "attributes": [
+                {
+                  "default_value": "val1",
+                  "id": 3,
+                  "input_type": "select",
+                  "mutable": false,
+                  "name": "attr",
+                  "values": [
+                    "val1",
+                    "val2"
+                  ]
+                }
+              ],
+              "color": "#59a8fe",
+              "has_parent": true,
+              "id": 25,
+              "name": "3",
+              "type": "points"
+            },
+            {
+              "attributes": [],
+              "color": "#4925ec",
+              "has_parent": true,
+              "id": 24,
+              "name": "2",
+              "type": "points"
+            },
+            {
+              "attributes": [],
+              "color": "#d53957",
+              "has_parent": true,
+              "id": 23,
+              "name": "1",
+              "type": "points"
+            }
+          ],
+          "svg": "<line x1=\"70.15311431884766\" y1=\"23.4113712310791\" x2=\"36.37385177612305\" y2=\"69.7324447631836\" stroke=\"black\" data-type=\"edge\" data-node-from=\"3\" stroke-width=\"0.5\" data-node-to=\"2\"></line><line x1=\"81.18990325927734\" y1=\"57.85953140258789\" x2=\"70.15311431884766\" y2=\"23.4113712310791\" stroke=\"black\" data-type=\"edge\" data-node-from=\"4\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"18.81532096862793\" y1=\"31.438127517700195\" x2=\"81.18990325927734\" y2=\"57.85953140258789\" 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=\"18.81532096862793\" cy=\"31.438127517700195\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"23\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"36.37385177612305\" cy=\"69.7324447631836\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"24\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"70.15311431884766\" cy=\"23.4113712310791\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-id=\"25\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"81.18990325927734\" cy=\"57.85953140258789\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"4\" data-node-id=\"4\" data-label-id=\"26\"></circle>",
+          "type": "skeleton"
+        },
+        {
+          "attributes": [],
+          "color": "#479ffe",
+          "has_parent": true,
+          "id": 21,
+          "name": "3",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [],
+          "color": "#350dea",
+          "has_parent": true,
+          "id": 20,
+          "name": "2",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [],
+          "color": "#d12345",
+          "has_parent": true,
+          "id": 19,
+          "name": "1",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [],
+          "color": "#5c5eba",
+          "has_parent": false,
+          "id": 18,
+          "name": "s1",
+          "sublabels": [
+            {
+              "attributes": [],
+              "color": "#479ffe",
+              "has_parent": true,
+              "id": 21,
+              "name": "3",
+              "type": "points"
+            },
+            {
+              "attributes": [],
+              "color": "#350dea",
+              "has_parent": true,
+              "id": 20,
+              "name": "2",
+              "type": "points"
+            },
+            {
+              "attributes": [],
+              "color": "#d12345",
+              "has_parent": true,
+              "id": 19,
+              "name": "1",
+              "type": "points"
+            }
+          ],
+          "svg": "<line x1=\"32.026023864746094\" y1=\"60.70234298706055\" x2=\"69.65144348144531\" y2=\"27.090301513671875\" stroke=\"black\" data-type=\"edge\" data-node-from=\"2\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"6.44074010848999\" y1=\"30.769229888916016\" x2=\"32.026023864746094\" y2=\"60.70234298706055\" 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=\"6.44074010848999\" cy=\"30.769229888916016\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"19\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"32.026023864746094\" cy=\"60.70234298706055\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"20\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"69.65144348144531\" cy=\"27.090301513671875\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-id=\"21\"></circle>",
+          "type": "skeleton"
+        }
+      ],
+      "mode": "annotation",
+      "project_id": 5,
+      "stage": "annotation",
+      "start_frame": 0,
+      "state": "new",
+      "status": "annotation",
+      "stop_frame": 8,
+      "task_id": 14,
+      "updated_date": "2022-09-21T07:30:41.741000Z",
+      "url": "http://localhost:8080/api/jobs/18"
+    },
     {
       "assignee": null,
       "bug_tracker": "",
diff --git a/tests/python/shared/assets/projects.json b/tests/python/shared/assets/projects.json
index a97b3c0246d4..aa994fe9fe8d 100644
--- a/tests/python/shared/assets/projects.json
+++ b/tests/python/shared/assets/projects.json
@@ -1,8 +1,220 @@
 {
-  "count": 4,
+  "count": 5,
   "next": null,
   "previous": null,
   "results": [
+    {
+      "assignee": null,
+      "bug_tracker": "",
+      "created_date": "2022-09-21T07:30:22.607000Z",
+      "dimension": "2d",
+      "id": 5,
+      "labels": [
+        {
+          "attributes": [],
+          "color": "#5c5eba",
+          "has_parent": false,
+          "id": 18,
+          "name": "s1",
+          "sublabels": [
+            {
+              "attributes": [],
+              "color": "#479ffe",
+              "has_parent": true,
+              "id": 21,
+              "name": "3",
+              "type": "points"
+            },
+            {
+              "attributes": [],
+              "color": "#350dea",
+              "has_parent": true,
+              "id": 20,
+              "name": "2",
+              "type": "points"
+            },
+            {
+              "attributes": [],
+              "color": "#d12345",
+              "has_parent": true,
+              "id": 19,
+              "name": "1",
+              "type": "points"
+            }
+          ],
+          "svg": "<line x1=\"32.026023864746094\" y1=\"60.70234298706055\" x2=\"69.65144348144531\" y2=\"27.090301513671875\" stroke=\"black\" data-type=\"edge\" data-node-from=\"2\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"6.44074010848999\" y1=\"30.769229888916016\" x2=\"32.026023864746094\" y2=\"60.70234298706055\" 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=\"6.44074010848999\" cy=\"30.769229888916016\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"19\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"32.026023864746094\" cy=\"60.70234298706055\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"20\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"69.65144348144531\" cy=\"27.090301513671875\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-id=\"21\"></circle>",
+          "type": "skeleton"
+        },
+        {
+          "attributes": [],
+          "color": "#d12345",
+          "has_parent": true,
+          "id": 19,
+          "name": "1",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [],
+          "color": "#350dea",
+          "has_parent": true,
+          "id": 20,
+          "name": "2",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [],
+          "color": "#479ffe",
+          "has_parent": true,
+          "id": 21,
+          "name": "3",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [
+            {
+              "default_value": "white",
+              "id": 2,
+              "input_type": "select",
+              "mutable": false,
+              "name": "color",
+              "values": [
+                "white",
+                "black"
+              ]
+            }
+          ],
+          "color": "#0c81b5",
+          "has_parent": false,
+          "id": 22,
+          "name": "s2",
+          "sublabels": [
+            {
+              "attributes": [],
+              "color": "#4a649f",
+              "has_parent": true,
+              "id": 26,
+              "name": "4",
+              "type": "points"
+            },
+            {
+              "attributes": [
+                {
+                  "default_value": "val1",
+                  "id": 3,
+                  "input_type": "select",
+                  "mutable": false,
+                  "name": "attr",
+                  "values": [
+                    "val1",
+                    "val2"
+                  ]
+                }
+              ],
+              "color": "#59a8fe",
+              "has_parent": true,
+              "id": 25,
+              "name": "3",
+              "type": "points"
+            },
+            {
+              "attributes": [],
+              "color": "#4925ec",
+              "has_parent": true,
+              "id": 24,
+              "name": "2",
+              "type": "points"
+            },
+            {
+              "attributes": [],
+              "color": "#d53957",
+              "has_parent": true,
+              "id": 23,
+              "name": "1",
+              "type": "points"
+            }
+          ],
+          "svg": "<line x1=\"70.15311431884766\" y1=\"23.4113712310791\" x2=\"36.37385177612305\" y2=\"69.7324447631836\" stroke=\"black\" data-type=\"edge\" data-node-from=\"3\" stroke-width=\"0.5\" data-node-to=\"2\"></line><line x1=\"81.18990325927734\" y1=\"57.85953140258789\" x2=\"70.15311431884766\" y2=\"23.4113712310791\" stroke=\"black\" data-type=\"edge\" data-node-from=\"4\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"18.81532096862793\" y1=\"31.438127517700195\" x2=\"81.18990325927734\" y2=\"57.85953140258789\" 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=\"18.81532096862793\" cy=\"31.438127517700195\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"23\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"36.37385177612305\" cy=\"69.7324447631836\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"24\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"70.15311431884766\" cy=\"23.4113712310791\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-id=\"25\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"81.18990325927734\" cy=\"57.85953140258789\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"4\" data-node-id=\"4\" data-label-id=\"26\"></circle>",
+          "type": "skeleton"
+        },
+        {
+          "attributes": [],
+          "color": "#d53957",
+          "has_parent": true,
+          "id": 23,
+          "name": "1",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [],
+          "color": "#4925ec",
+          "has_parent": true,
+          "id": 24,
+          "name": "2",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [
+            {
+              "default_value": "val1",
+              "id": 3,
+              "input_type": "select",
+              "mutable": false,
+              "name": "attr",
+              "values": [
+                "val1",
+                "val2"
+              ]
+            }
+          ],
+          "color": "#59a8fe",
+          "has_parent": true,
+          "id": 25,
+          "name": "3",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [],
+          "color": "#4a649f",
+          "has_parent": true,
+          "id": 26,
+          "name": "4",
+          "sublabels": [],
+          "type": "points"
+        }
+      ],
+      "name": "project5",
+      "organization": null,
+      "owner": {
+        "first_name": "Admin",
+        "id": 1,
+        "last_name": "First",
+        "url": "http://localhost:8080/api/users/1",
+        "username": "admin1"
+      },
+      "source_storage": {
+        "cloud_storage_id": null,
+        "id": 5,
+        "location": "local"
+      },
+      "status": "annotation",
+      "target_storage": {
+        "cloud_storage_id": null,
+        "id": 6,
+        "location": "local"
+      },
+      "task_subsets": [],
+      "tasks": [
+        14
+      ],
+      "updated_date": "2022-09-21T07:31:55.223000Z",
+      "url": "http://localhost:8080/api/projects/5"
+    },
     {
       "assignee": null,
       "bug_tracker": "",
diff --git a/tests/python/shared/assets/tasks.json b/tests/python/shared/assets/tasks.json
index d5663e25e6d1..945a5d941865 100644
--- a/tests/python/shared/assets/tasks.json
+++ b/tests/python/shared/assets/tasks.json
@@ -1,8 +1,243 @@
 {
-  "count": 9,
+  "count": 10,
   "next": null,
   "previous": null,
   "results": [
+    {
+      "assignee": null,
+      "bug_tracker": "",
+      "created_date": "2022-09-21T07:30:41.530000Z",
+      "data": 13,
+      "data_chunk_size": 72,
+      "data_compressed_chunk_type": "imageset",
+      "data_original_chunk_type": "imageset",
+      "dimension": "2d",
+      "id": 14,
+      "image_quality": 70,
+      "labels": [
+        {
+          "attributes": [],
+          "color": "#4a649f",
+          "has_parent": true,
+          "id": 26,
+          "name": "4",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [
+            {
+              "default_value": "val1",
+              "id": 3,
+              "input_type": "select",
+              "mutable": false,
+              "name": "attr",
+              "values": [
+                "val1",
+                "val2"
+              ]
+            }
+          ],
+          "color": "#59a8fe",
+          "has_parent": true,
+          "id": 25,
+          "name": "3",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [],
+          "color": "#4925ec",
+          "has_parent": true,
+          "id": 24,
+          "name": "2",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [],
+          "color": "#d53957",
+          "has_parent": true,
+          "id": 23,
+          "name": "1",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [
+            {
+              "default_value": "white",
+              "id": 2,
+              "input_type": "select",
+              "mutable": false,
+              "name": "color",
+              "values": [
+                "white",
+                "black"
+              ]
+            }
+          ],
+          "color": "#0c81b5",
+          "has_parent": false,
+          "id": 22,
+          "name": "s2",
+          "sublabels": [
+            {
+              "attributes": [],
+              "color": "#4a649f",
+              "has_parent": true,
+              "id": 26,
+              "name": "4",
+              "type": "points"
+            },
+            {
+              "attributes": [
+                {
+                  "default_value": "val1",
+                  "id": 3,
+                  "input_type": "select",
+                  "mutable": false,
+                  "name": "attr",
+                  "values": [
+                    "val1",
+                    "val2"
+                  ]
+                }
+              ],
+              "color": "#59a8fe",
+              "has_parent": true,
+              "id": 25,
+              "name": "3",
+              "type": "points"
+            },
+            {
+              "attributes": [],
+              "color": "#4925ec",
+              "has_parent": true,
+              "id": 24,
+              "name": "2",
+              "type": "points"
+            },
+            {
+              "attributes": [],
+              "color": "#d53957",
+              "has_parent": true,
+              "id": 23,
+              "name": "1",
+              "type": "points"
+            }
+          ],
+          "svg": "<line x1=\"70.15311431884766\" y1=\"23.4113712310791\" x2=\"36.37385177612305\" y2=\"69.7324447631836\" stroke=\"black\" data-type=\"edge\" data-node-from=\"3\" stroke-width=\"0.5\" data-node-to=\"2\"></line><line x1=\"81.18990325927734\" y1=\"57.85953140258789\" x2=\"70.15311431884766\" y2=\"23.4113712310791\" stroke=\"black\" data-type=\"edge\" data-node-from=\"4\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"18.81532096862793\" y1=\"31.438127517700195\" x2=\"81.18990325927734\" y2=\"57.85953140258789\" 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=\"18.81532096862793\" cy=\"31.438127517700195\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"23\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"36.37385177612305\" cy=\"69.7324447631836\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"24\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"70.15311431884766\" cy=\"23.4113712310791\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-id=\"25\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"81.18990325927734\" cy=\"57.85953140258789\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"4\" data-node-id=\"4\" data-label-id=\"26\"></circle>",
+          "type": "skeleton"
+        },
+        {
+          "attributes": [],
+          "color": "#479ffe",
+          "has_parent": true,
+          "id": 21,
+          "name": "3",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [],
+          "color": "#350dea",
+          "has_parent": true,
+          "id": 20,
+          "name": "2",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [],
+          "color": "#d12345",
+          "has_parent": true,
+          "id": 19,
+          "name": "1",
+          "sublabels": [],
+          "type": "points"
+        },
+        {
+          "attributes": [],
+          "color": "#5c5eba",
+          "has_parent": false,
+          "id": 18,
+          "name": "s1",
+          "sublabels": [
+            {
+              "attributes": [],
+              "color": "#479ffe",
+              "has_parent": true,
+              "id": 21,
+              "name": "3",
+              "type": "points"
+            },
+            {
+              "attributes": [],
+              "color": "#350dea",
+              "has_parent": true,
+              "id": 20,
+              "name": "2",
+              "type": "points"
+            },
+            {
+              "attributes": [],
+              "color": "#d12345",
+              "has_parent": true,
+              "id": 19,
+              "name": "1",
+              "type": "points"
+            }
+          ],
+          "svg": "<line x1=\"32.026023864746094\" y1=\"60.70234298706055\" x2=\"69.65144348144531\" y2=\"27.090301513671875\" stroke=\"black\" data-type=\"edge\" data-node-from=\"2\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"6.44074010848999\" y1=\"30.769229888916016\" x2=\"32.026023864746094\" y2=\"60.70234298706055\" 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=\"6.44074010848999\" cy=\"30.769229888916016\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"19\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"32.026023864746094\" cy=\"60.70234298706055\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"20\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"69.65144348144531\" cy=\"27.090301513671875\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-id=\"21\"></circle>",
+          "type": "skeleton"
+        }
+      ],
+      "mode": "annotation",
+      "name": "task1 in project5",
+      "organization": null,
+      "overlap": 0,
+      "owner": {
+        "first_name": "Admin",
+        "id": 1,
+        "last_name": "First",
+        "url": "http://localhost:8080/api/users/1",
+        "username": "admin1"
+      },
+      "project_id": 5,
+      "segment_size": 9,
+      "segments": [
+        {
+          "jobs": [
+            {
+              "assignee": null,
+              "id": 18,
+              "stage": "annotation",
+              "state": "new",
+              "status": "annotation",
+              "url": "http://localhost:8080/api/jobs/18"
+            }
+          ],
+          "start_frame": 0,
+          "stop_frame": 8
+        }
+      ],
+      "size": 9,
+      "source_storage": {
+        "cloud_storage_id": null,
+        "id": 7,
+        "location": "local"
+      },
+      "status": "annotation",
+      "subset": "",
+      "target_storage": {
+        "cloud_storage_id": null,
+        "id": 8,
+        "location": "local"
+      },
+      "updated_date": "2022-09-21T07:30:41.758000Z",
+      "url": "http://localhost:8080/api/tasks/14"
+    },
     {
       "assignee": null,
       "bug_tracker": "",
diff --git a/tests/python/shared/assets/users.json b/tests/python/shared/assets/users.json
index ba514e91bd96..53648d7814cd 100644
--- a/tests/python/shared/assets/users.json
+++ b/tests/python/shared/assets/users.json
@@ -310,7 +310,7 @@
       "is_active": true,
       "is_staff": true,
       "is_superuser": true,
-      "last_login": "2022-07-19T14:27:42.006000Z",
+      "last_login": "2022-09-21T07:30:11.348024Z",
       "last_name": "First",
       "url": "http://localhost:8080/api/users/1",
       "username": "admin1"

From 3beb2f284085d311ee0df0cf5fb09a32b911dcd9 Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Wed, 21 Sep 2022 19:06:46 +0300
Subject: [PATCH 15/34] Update Datumaro version

---
 cvat/apps/dataset_manager/bindings.py         | 176 +++++++++++-------
 cvat/apps/dataset_manager/formats/cvat.py     |   2 +-
 cvat/apps/dataset_manager/formats/icdar.py    |   6 +-
 .../dataset_manager/formats/market1501.py     |   4 +-
 cvat/apps/dataset_manager/formats/vggface2.py |   2 +-
 .../tests/assets/annotations.json             |  10 +-
 .../dataset_manager/tests/assets/tasks.json   |  18 +-
 .../dataset_manager/tests/test_formats.py     |  13 +-
 cvat/requirements/base.txt                    |   4 +-
 9 files changed, 136 insertions(+), 99 deletions(-)

diff --git a/cvat/apps/dataset_manager/bindings.py b/cvat/apps/dataset_manager/bindings.py
index b416bcae85c8..23979754831f 100644
--- a/cvat/apps/dataset_manager/bindings.py
+++ b/cvat/apps/dataset_manager/bindings.py
@@ -17,8 +17,8 @@
 import rq
 from attr import attrib, attrs
 from datumaro.components.dataset import Dataset
+from datumaro.components.media import ByteImage, Image, PointCloud
 from datumaro.util import cast
-from datumaro.util.image import ByteImage, Image
 from django.utils import timezone
 
 from cvat.apps.dataset_manager.formats.utils import get_label_color
@@ -1060,7 +1060,7 @@ def add_task(self, task, files):
         self._project_annotation.add_task(task, files, self)
 
 class CVATDataExtractorMixin:
-    def __init__(self):
+    def __init__(self, media_type=Image):
         super().__init__()
 
     def categories(self) -> dict:
@@ -1075,18 +1075,17 @@ def _load_categories(labels: list):
         point_categories = datum_annotation.PointsCategories()
 
         for _, label in labels:
-            if label.get('parent') is None:
-                label_id = label_categories.add(label['name'])
-                for _, attr in label['attributes']:
-                    label_categories.attributes.add(attr['name'])
+            label_id = label_categories.add(label['name'], label.get('parent'))
+            for _, attr in label['attributes']:
+                label_categories.attributes.add(attr['name'])
 
-                if label['type'] == str(LabelType.SKELETON):
-                    labels_from = list(map(int, re.findall(r'data-node-from="(\d+)"', label['svg'])))
-                    labels_to = list(map(int, re.findall(r'data-node-to="(\d+)"', label['svg'])))
-                    sublabels = re.findall(r'data-label-name="(\w+)"', label['svg'])
-                    joints = zip(labels_from, labels_to)
+            if label['type'] == str(LabelType.SKELETON):
+                labels_from = list(map(int, re.findall(r'data-node-from="(\d+)"', label['svg'])))
+                labels_to = list(map(int, re.findall(r'data-node-to="(\d+)"', label['svg'])))
+                sublabels = re.findall(r'data-label-name="(\w+)"', label['svg'])
+                joints = zip(labels_from, labels_to)
 
-                    point_categories.add(label_id, sublabels, joints)
+                point_categories.add(label_id, sublabels, joints)
 
         categories[datum_annotation.AnnotationType.label] = label_categories
         categories[datum_annotation.AnnotationType.points] = point_categories
@@ -1115,7 +1114,7 @@ def map_label(name): return label_cat.find(name)[0]
 
 class CvatTaskDataExtractor(datum_extractor.SourceExtractor, CVATDataExtractorMixin):
     def __init__(self, task_data, include_images=False, format_type=None, dimension=DimensionType.DIM_2D):
-        super().__init__()
+        super().__init__(media_type=Image if dimension == DimensionType.DIM_2D else PointCloud)
         self._categories = self._load_categories(task_data.meta['task']['labels'])
         self._user = self._load_user_info(task_data.meta['task']) if dimension == DimensionType.DIM_3D else {}
         self._dimension = dimension
@@ -1148,7 +1147,7 @@ def _make_image(i, **kwargs):
                     loader = lambda _: frame_provider.get_frame(i,
                         quality=frame_provider.Quality.ORIGINAL,
                         out_type=frame_provider.Type.NUMPY_ARRAY)[0]
-                    return Image(loader=loader, **kwargs)
+                    return Image(data=loader, **kwargs)
             else:
                 # for images use encoded data to avoid recoding
                 def _make_image(i, **kwargs):
@@ -1174,7 +1173,7 @@ def _make_image(i, **kwargs):
             if dimension == DimensionType.DIM_2D:
                 dm_item = datum_extractor.DatasetItem(
                         id=osp.splitext(frame_data.name)[0],
-                        annotations=dm_anno, image=dm_image,
+                        annotations=dm_anno, media=dm_image,
                         attributes={'frame': frame_data.frame
                     })
             elif dimension == DimensionType.DIM_3D:
@@ -1190,7 +1189,7 @@ def _make_image(i, **kwargs):
 
                 dm_item = datum_extractor.DatasetItem(
                     id=osp.splitext(osp.split(frame_data.name)[-1])[0],
-                    annotations=dm_anno, point_cloud=dm_image[0], related_images=dm_image[1],
+                    annotations=dm_anno, media=PointCloud(dm_image[0]), related_images=dm_image[1],
                     attributes=attributes
                 )
 
@@ -1201,9 +1200,9 @@ def _make_image(i, **kwargs):
     def _read_cvat_anno(self, cvat_frame_anno: TaskData.Frame, labels: list):
         categories = self.categories()
         label_cat = categories[datum_annotation.AnnotationType.label]
-        def map_label(name): return label_cat.find(name)[0]
+        def map_label(name, parent=""): return label_cat.find(name, parent)[0]
         label_attrs = {
-            label['name']: label['attributes']
+            label.get("parent", "") + label['name']: label['attributes']
             for _, label in labels
         }
 
@@ -1211,7 +1210,7 @@ def map_label(name): return label_cat.find(name)[0]
 
 class CVATProjectDataExtractor(datum_extractor.Extractor, CVATDataExtractorMixin):
     def __init__(self, project_data: ProjectData, include_images: bool = False, format_type: str = None, dimension: DimensionType = DimensionType.DIM_2D):
-        super().__init__()
+        super().__init__(media_type=Image if dimension == DimensionType.DIM_2D else PointCloud)
         self._categories = self._load_categories(project_data.meta['project']['labels'])
         self._user = self._load_user_info(project_data.meta['project']) if dimension == DimensionType.DIM_3D else {}
         self._dimension = dimension
@@ -1251,7 +1250,7 @@ def _make_image(i, **kwargs):
                             loader = lambda _: frame_provider.get_frame(i,
                                 quality=frame_provider.Quality.ORIGINAL,
                                 out_type=frame_provider.Type.NUMPY_ARRAY)[0]
-                            return Image(loader=loader, **kwargs)
+                            return Image(data=loader, **kwargs)
                         return _make_image
                 else:
                     # for images use encoded data to avoid recoding
@@ -1280,7 +1279,7 @@ def _make_image(i, **kwargs):
             if self._dimension == DimensionType.DIM_2D:
                 dm_item = datum_extractor.DatasetItem(
                     id=osp.splitext(frame_data.name)[0],
-                    annotations=dm_anno, image=dm_image,
+                    annotations=dm_anno, media=dm_image,
                     subset=frame_data.subset,
                     attributes={'frame': frame_data.frame}
                 )
@@ -1297,7 +1296,7 @@ def _make_image(i, **kwargs):
 
                 dm_item = datum_extractor.DatasetItem(
                     id=osp.splitext(osp.split(frame_data.name)[-1])[0],
-                    annotations=dm_anno, point_cloud=dm_image[0], related_images=dm_image[1],
+                    annotations=dm_anno, media=PointCloud(dm_image[0]), related_images=dm_image[1],
                     attributes=attributes, subset=frame_data.subset
                 )
             dm_items.append(dm_item)
@@ -1450,20 +1449,23 @@ def convert_attrs(label, cvat_attrs):
             else:
                 continue
         elif shape_obj.type == ShapeType.SKELETON:
-            points = []
-            vis = []
+            elements = []
             for element in shape_obj.elements:
-                points.extend(element.points)
+                element_attr = convert_attrs(shape_obj.label + element.label, element.attributes)
+
+                if hasattr(element, 'track_id'):
+                    element_attr['track_id'] = element.track_id
+                    element_attr['keyframe'] = element.keyframe
                 element_vis = datum_annotation.Points.Visibility.visible
                 if element.outside:
                     element_vis = datum_annotation.Points.Visibility.absent
                 elif element.occluded:
                     element_vis = datum_annotation.Points.Visibility.hidden
-                vis.append(element_vis)
+                elements.append(datum_annotation.Points(element.points, [element_vis],
+                    label=map_label(element.label, shape_obj.label), attributes=element_attr))
 
-            anno = datum_annotation.Points(points, vis,
-                label=anno_label, attributes=anno_attr, group=anno_group,
-                z_order=shape_obj.z_order)
+            anno = datum_annotation.Skeleton(elements, label=anno_label,
+                attributes=anno_attr, group=anno_group, z_order=shape_obj.z_order)
         else:
             raise Exception("Unknown shape type '%s'" % shape_obj.type)
 
@@ -1522,11 +1524,11 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
         datum_annotation.AnnotationType.polygon: ShapeType.POLYGON,
         datum_annotation.AnnotationType.polyline: ShapeType.POLYLINE,
         datum_annotation.AnnotationType.points: ShapeType.POINTS,
-        datum_annotation.AnnotationType.cuboid_3d: ShapeType.CUBOID
+        datum_annotation.AnnotationType.cuboid_3d: ShapeType.CUBOID,
+        datum_annotation.AnnotationType.skeleton: ShapeType.SKELETON
     }
 
     label_cat = dm_dataset.categories()[datum_annotation.AnnotationType.label]
-    point_cat = dm_dataset.categories().get(datum_annotation.AnnotationType.points)
 
     root_hint = find_dataset_root(dm_dataset, instance_data)
 
@@ -1563,12 +1565,11 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
                 ]
 
                 if ann.type in shapes:
+                    points = []
                     if ann.type == datum_annotation.AnnotationType.cuboid_3d:
-                        try:
-                            ann.points = [*ann.position,*ann.rotation,*ann.scale,0,0,0,0,0,0,0]
-                        except Exception:
-                            ann.points = ann.points
-                        ann.z_order = 0
+                        points = [*ann.position, *ann.rotation, *ann.scale, 0, 0, 0, 0, 0, 0, 0]
+                    elif ann.type != datum_annotation.AnnotationType.skeleton:
+                        points = ann.points
 
                     # Use safe casting to bool instead of plain reading
                     # because in some formats return type can be different
@@ -1583,34 +1584,38 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
                         if ann.attributes.get('source', '').lower() in {'auto', 'manual'} else 'manual'
 
                     shape_type = shapes[ann.type]
-                    elements = []
-                    if point_cat and shape_type == ShapeType.POINTS:
-                        labels = point_cat.items[ann.label].labels
-                        shape_type = ShapeType.SKELETON
-                        for i in range(len(ann.points) // 2):
-                            label = None
-                            if i < len(labels):
-                                label = labels[i]
-                            elements.append(instance_data.LabeledShape(
-                                type=ShapeType.POINTS,
-                                frame=frame_number,
-                                points=ann.points[2 * i : 2 * i + 2],
-                                label=label,
-                                occluded=ann.visibility[i] == datum_annotation.Points.Visibility.hidden,
-                                source=source,
-                                attributes=[],
-                                outside=ann.visibility[i] == datum_annotation.Points.Visibility.absent,
-                            ))
-
-
                     if track_id is None or dm_dataset.format != 'cvat' :
+                        elements = []
+                        if ann.type == datum_annotation.AnnotationType.skeleton:
+                            for element in ann.elements:
+                                element_attributes = [
+                                    instance_data.Attribute(name=n, value=str(v))
+                                    for n, v in element.attributes.items()
+                                ]
+                                element_occluded = element.visibility[0] == datum_annotation.Points.Visibility.hidden
+                                element_outside = element.visibility[0] == datum_annotation.Points.Visibility.absent
+                                element_source = element.attributes.pop('source').lower() \
+                                    if element.attributes.get('source', '').lower() in {'auto', 'manual'} else 'manual'
+                                elements.append(instance_data.LabeledShape(
+                                    type=shapes[element.type],
+                                    frame=frame_number,
+                                    points=element.points,
+                                    label=label_cat.items[element.label].name,
+                                    occluded=element_occluded,
+                                    z_order=ann.z_order,
+                                    group=group_map.get(ann.group, 0),
+                                    source=element_source,
+                                    attributes=element_attributes,
+                                    elements=[],
+                                    outside=element_outside,
+                                ))
                         instance_data.add_shape(instance_data.LabeledShape(
                             type=shape_type,
                             frame=frame_number,
-                            points=ann.points,
+                            points=points,
                             label=label_cat.items[ann.label].name,
                             occluded=occluded,
-                            z_order=ann.z_order,
+                            z_order=ann.z_order if ann.type != datum_annotation.AnnotationType.cuboid_3d else 0,
                             group=group_map.get(ann.group, 0),
                             source=source,
                             attributes=attributes,
@@ -1619,27 +1624,57 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
                         continue
 
                     if keyframe or outside:
+                        if track_id not in tracks:
+                            tracks[track_id] = {
+                                'label': label_cat.items[ann.label].name,
+                                'group': group_map.get(ann.group, 0),
+                                'source': source,
+                                'shapes': [],
+                                'elements':{},
+                            }
+
                         track = instance_data.TrackedShape(
                             type=shapes[ann.type],
                             frame=frame_number,
                             occluded=occluded,
                             outside=outside,
                             keyframe=keyframe,
-                            points=ann.points,
-                            z_order=ann.z_order,
+                            points=points,
+                            z_order=ann.z_order if ann.type != datum_annotation.AnnotationType.cuboid_3d else 0,
                             source=source,
                             attributes=attributes,
                         )
 
-                        if track_id not in tracks:
-                            tracks[track_id] = instance_data.Track(
-                                label=label_cat.items[ann.label].name,
-                                group=group_map.get(ann.group, 0),
-                                source=source,
-                                shapes=[],
-                            )
-
-                        tracks[track_id].shapes.append(track)
+                        tracks[track_id]['shapes'].append(track)
+
+                        if ann.type == datum_annotation.AnnotationType.skeleton:
+                            for element in ann.elements:
+                                if element.label not in tracks[track_id]['elements']:
+                                    tracks[track_id]['elements'][element.label] = instance_data.Track(
+                                        label=label_cat.items[element.label].name,
+                                        group=0,
+                                        source=source,
+                                        shapes=[],
+                                    )
+                                element_attributes = [
+                                    instance_data.Attribute(name=n, value=str(v))
+                                    for n, v in element.attributes.items()
+                                ]
+                                element_occluded = cast(element.attributes.pop('occluded', None), bool) is True
+                                element_outside = cast(element.attributes.pop('outside', None), bool) is True
+                                element_source = element.attributes.pop('source').lower() \
+                                    if element.attributes.get('source', '').lower() in {'auto', 'manual'} else 'manual'
+                                tracks[track_id]['elements'][element.label].shapes.append(instance_data.TrackedShape(
+                                    type=shapes[element.type],
+                                    frame=frame_number,
+                                    occluded=element_occluded,
+                                    outside=element_outside,
+                                    keyframe=keyframe,
+                                    points=element.points,
+                                    z_order=element.z_order,
+                                    source=element_source,
+                                    attributes=element_attributes,
+                                ))
 
                 elif ann.type == datum_annotation.AnnotationType.label:
                     instance_data.add_tag(instance_data.Tag(
@@ -1654,7 +1689,8 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
                     "#{} ({}): {}".format(item.id, idx, ann.type.name, e)) from e
 
     for track in tracks.values():
-        instance_data.add_track(track)
+        track['elements'] = list(track['elements'].values())
+        instance_data.add_track(instance_data.Track(**track))
 
 
 def import_labels_to_project(project_annotation, dataset: Dataset):
diff --git a/cvat/apps/dataset_manager/formats/cvat.py b/cvat/apps/dataset_manager/formats/cvat.py
index 97bd98a31325..250cd2544c7e 100644
--- a/cvat/apps/dataset_manager/formats/cvat.py
+++ b/cvat/apps/dataset_manager/formats/cvat.py
@@ -409,7 +409,7 @@ def _load_items(self, parsed, image_items):
             di.subset = subset or DEFAULT_SUBSET_NAME
             di.annotations = item_desc.get('annotations')
             di.attributes = {'frame': int(frame_id)}
-            di.image = image if isinstance(image, Image) else di.image
+            di.media = image if isinstance(image, Image) else di.media
             image_items[(subset, osp.splitext(name)[0])] = di
         return image_items
 
diff --git a/cvat/apps/dataset_manager/formats/icdar.py b/cvat/apps/dataset_manager/formats/icdar.py
index a46173f4c871..9545248fd7f3 100644
--- a/cvat/apps/dataset_manager/formats/icdar.py
+++ b/cvat/apps/dataset_manager/formats/icdar.py
@@ -90,7 +90,7 @@ def _import(src_file, instance_data, load_data_callback=None):
     with TemporaryDirectory() as tmp_dir:
         zipfile.ZipFile(src_file).extractall(tmp_dir)
         dataset = Dataset.import_from(tmp_dir, 'icdar_word_recognition', env=dm_env)
-        dataset.transform(CaptionToLabel, 'icdar')
+        dataset.transform(CaptionToLabel, label='icdar')
         if load_data_callback is not None:
             load_data_callback(dataset, instance_data)
         import_dm_annotations(dataset, instance_data)
@@ -110,7 +110,7 @@ def _import(src_file, instance_data, load_data_callback=None):
         zipfile.ZipFile(src_file).extractall(tmp_dir)
 
         dataset = Dataset.import_from(tmp_dir, 'icdar_text_localization', env=dm_env)
-        dataset.transform(AddLabelToAnns, 'icdar')
+        dataset.transform(AddLabelToAnns, label='icdar')
         if load_data_callback is not None:
             load_data_callback(dataset, instance_data)
         import_dm_annotations(dataset, instance_data)
@@ -133,7 +133,7 @@ def _import(src_file, instance_data, load_data_callback=None):
     with TemporaryDirectory() as tmp_dir:
         zipfile.ZipFile(src_file).extractall(tmp_dir)
         dataset = Dataset.import_from(tmp_dir, 'icdar_text_segmentation', env=dm_env)
-        dataset.transform(AddLabelToAnns, 'icdar')
+        dataset.transform(AddLabelToAnns, label='icdar')
         dataset.transform('masks_to_polygons')
         if load_data_callback is not None:
             load_data_callback(dataset, instance_data)
diff --git a/cvat/apps/dataset_manager/formats/market1501.py b/cvat/apps/dataset_manager/formats/market1501.py
index f4c305d31811..a1f3b256ebf9 100644
--- a/cvat/apps/dataset_manager/formats/market1501.py
+++ b/cvat/apps/dataset_manager/formats/market1501.py
@@ -65,7 +65,7 @@ def _export(dst_file, instance_data, save_images=False):
     dataset = Dataset.from_extractors(GetCVATDataExtractor(
         instance_data, include_images=save_images), env=dm_env)
     with TemporaryDirectory() as temp_dir:
-        dataset.transform(LabelAttrToAttr, 'market-1501')
+        dataset.transform(LabelAttrToAttr, label='market-1501')
         dataset.export(temp_dir, 'market1501', save_images=save_images)
         make_zip_archive(temp_dir, dst_file)
 
@@ -75,7 +75,7 @@ def _import(src_file, instance_data, load_data_callback=None):
         zipfile.ZipFile(src_file).extractall(tmp_dir)
 
         dataset = Dataset.import_from(tmp_dir, 'market1501', env=dm_env)
-        dataset.transform(AttrToLabelAttr, 'market-1501')
+        dataset.transform(AttrToLabelAttr, label='market-1501')
         if load_data_callback is not None:
             load_data_callback(dataset, instance_data)
         import_dm_annotations(dataset, instance_data)
diff --git a/cvat/apps/dataset_manager/formats/vggface2.py b/cvat/apps/dataset_manager/formats/vggface2.py
index fc699050caf9..5b5d27cd7bf7 100644
--- a/cvat/apps/dataset_manager/formats/vggface2.py
+++ b/cvat/apps/dataset_manager/formats/vggface2.py
@@ -29,7 +29,7 @@ def _import(src_file, instance_data, load_data_callback=None):
         zipfile.ZipFile(src_file).extractall(tmp_dir)
 
         dataset = Dataset.import_from(tmp_dir, 'vgg_face2', env=dm_env)
-        dataset.transform('rename', r"|([^/]+/)?(.+)|\2|")
+        dataset.transform('rename', regex=r"|([^/]+/)?(.+)|\2|")
         if load_data_callback is not None:
             load_data_callback(dataset, instance_data)
         import_dm_annotations(dataset, instance_data)
diff --git a/cvat/apps/dataset_manager/tests/assets/annotations.json b/cvat/apps/dataset_manager/tests/assets/annotations.json
index 4ec55a94cd7d..cdd9f9836bef 100644
--- a/cvat/apps/dataset_manager/tests/assets/annotations.json
+++ b/cvat/apps/dataset_manager/tests/assets/annotations.json
@@ -533,15 +533,7 @@
   },
   "Market-1501 1.0": {
     "version": 0,
-    "tags": [
-      {
-        "frame": 1,
-        "label_id": null,
-        "group": 0,
-        "source": "manual",
-        "attributes": []
-      }
-    ],
+    "tags": [],
     "shapes": [],
     "tracks": []
   },
diff --git a/cvat/apps/dataset_manager/tests/assets/tasks.json b/cvat/apps/dataset_manager/tests/assets/tasks.json
index e301c54a2237..e5c4e140ecb7 100644
--- a/cvat/apps/dataset_manager/tests/assets/tasks.json
+++ b/cvat/apps/dataset_manager/tests/assets/tasks.json
@@ -336,7 +336,14 @@
         "name": "skeleton",
         "color": "#2080c0",
         "type": "skeleton",
-        "attributes": [],
+        "attributes": [
+          {
+            "name": "attr",
+            "mutable": false,
+            "input_type": "select",
+            "values": ["0", "1", "2"]
+          }
+        ],
         "sublabels": [
           {
             "name": "1",
@@ -353,14 +360,7 @@
           {
             "name": "3",
             "color": "#479ffe",
-            "attributes": [
-              {
-                "name": "attr",
-                "mutable": false,
-                "input_type": "select",
-                "values": ["0", "1", "2"]
-              }
-            ],
+            "attributes": [],
             "type": "points"
           }
         ],
diff --git a/cvat/apps/dataset_manager/tests/test_formats.py b/cvat/apps/dataset_manager/tests/test_formats.py
index 326a104b04e0..7d51a009367b 100644
--- a/cvat/apps/dataset_manager/tests/test_formats.py
+++ b/cvat/apps/dataset_manager/tests/test_formats.py
@@ -617,6 +617,14 @@ def _generate_task_images(self, count, name="image", **image_params):
         images["image_quality"] = 75
         return images
 
+    def _generate_task_images_by_names(self, names, **image_params):
+        images = {
+            f"client_files[{i}]": generate_image_file(f"{name}.jpg", **image_params)
+            for i, name in enumerate(names)
+        }
+        images["image_quality"] = 75
+        return images
+
     def _generate_task(self, images, annotation_format, **overrides):
         labels = []
         if annotation_format in ["ICDAR Recognition 1.0",
@@ -911,7 +919,10 @@ def test_can_import_annotations_for_image_with_dots_in_filename(self):
         for f in dm.views.get_import_formats():
             format_name = f.DISPLAY_NAME
 
-            images = self._generate_task_images(3, "img0.0.0")
+            if format_name == "Market-1501 1.0":
+                images = self._generate_task_images_by_names(["img0.0.0_0", "1.0_c3s1_000000_00", "img0.0.0_1"])
+            else:
+                images = self._generate_task_images(3, "img0.0.0")
             task = self._generate_task(images, format_name)
             self._generate_annotations(task, format_name)
 
diff --git a/cvat/requirements/base.txt b/cvat/requirements/base.txt
index 54178cc96e07..3abc8be888e7 100644
--- a/cvat/requirements/base.txt
+++ b/cvat/requirements/base.txt
@@ -45,9 +45,7 @@ diskcache==5.0.2
 boto3==1.17.61
 azure-storage-blob==12.13.0
 google-cloud-storage==1.42.0
-# --no-binary=datumaro: workaround for pip to install
-# opencv-headless instead of regular opencv, to actually run setup script
-datumaro==0.2.0 --no-binary=datumaro
+git+https://github.com/cvat-ai/datumaro
 urllib3>=1.26.5 # not directly required, pinned by Snyk to avoid a vulnerability
 natsort==8.0.0
 mistune>=2.0.1 # not directly required, pinned by Snyk to avoid a vulnerability

From 5f99f37eed70bd5d22cd5553ed5262f0d8838bb9 Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Thu, 22 Sep 2022 07:09:13 +0300
Subject: [PATCH 16/34] Update Changelog

---
 CHANGELOG.md | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 2305f17cfe50..ccb7951f8cce 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -12,6 +12,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Changed
 - `api/docs`, `api/swagger`, `api/schema` endpoints now allow unauthorized access (<https://github.com/opencv/cvat/pull/4928>)
+- Datumaro version (<https://github.com/opencv/cvat/pull/4984>)
 
 ### Deprecated
 - TDB
@@ -20,9 +21,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - TDB
 
 ### Fixed
-- Removed a possibly duplicated encodeURI() calls in `server-proxy.ts` to prevent doubly encoding 
+- Removed a possibly duplicated encodeURI() calls in `server-proxy.ts` to prevent doubly encoding
 non-ascii paths while adding files from "Connected file share" (issue #4428)
-- Removed unnecessary volumes defined in docker-compose.serverless.yml 
+- Removed unnecessary volumes defined in docker-compose.serverless.yml
 (<https://github.com/openvinotoolkit/cvat/pull/4659>)
 
 ### Security

From fbfadf203fc010b788c307445356f8634f30916c Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Fri, 23 Sep 2022 11:43:57 +0300
Subject: [PATCH 17/34] Fix assets

---
 tests/python/rest_api/test_projects.py        |   2 +-
 tests/python/rest_api/test_tasks.py           |   2 +-
 .../shared/assets/cvat_db/cvat_data.tar.bz2   | Bin 58479 -> 59265 bytes
 tests/python/shared/assets/cvat_db/data.json  |  75 +++++++-----------
 tests/python/shared/assets/jobs.json          |   8 +-
 tests/python/shared/assets/projects.json      |  10 +--
 tests/python/shared/assets/tasks.json         |  16 ++--
 tests/python/shared/assets/users.json         |   2 +-
 tests/python/shared/fixtures/data.py          |   4 +-
 9 files changed, 51 insertions(+), 68 deletions(-)

diff --git a/tests/python/rest_api/test_projects.py b/tests/python/rest_api/test_projects.py
index 7f9c0b8254be..bc60def8bc14 100644
--- a/tests/python/rest_api/test_projects.py
+++ b/tests/python/rest_api/test_projects.py
@@ -398,7 +398,7 @@ def test_admin_can_get_project_backup_and_create_project_by_backup(self, admin_u
 @pytest.mark.usefixtures('changedb')
 class TestPatchProjectLabel:
     def test_admin_can_delete_label(self, projects):
-        project = deepcopy(list(projects)[0])
+        project = deepcopy(list(projects)[1])
         labels = project['labels'][0]
         labels.update({'deleted': True})
         response = patch_method('admin1', f'/projects/{project["id"]}', {'labels': [labels]})
diff --git a/tests/python/rest_api/test_tasks.py b/tests/python/rest_api/test_tasks.py
index 4bd1142532e5..7421fe71717d 100644
--- a/tests/python/rest_api/test_tasks.py
+++ b/tests/python/rest_api/test_tasks.py
@@ -288,7 +288,7 @@ def test_member_update_task_annotation(self, org, role, task_staff, is_allow,
             find_task_staff_user, find_users, tasks_by_org, request_data):
         users = find_users(role=role, org=org)
         tasks = tasks_by_org[org]
-        username, tid = find_task_staff_user(tasks, users, task_staff)
+        username, tid = find_task_staff_user(tasks, users, task_staff, [14])
 
         data = request_data(tid)
         with make_api_client(username) as api_client:
diff --git a/tests/python/shared/assets/cvat_db/cvat_data.tar.bz2 b/tests/python/shared/assets/cvat_db/cvat_data.tar.bz2
index 996ce6f554d83830b7744a535dca6a66f372061c..7469d3a20ed757d7a56c19a12e546b5e7a5580b8 100644
GIT binary patch
literal 59265
zcmbTdWlSYZu!f1l!QGvMySuyVK?nCi28Y4j-QC??26uONx4~Tp_Pcwt+5NG}Ci|q4
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diff --git a/tests/python/shared/assets/cvat_db/data.json b/tests/python/shared/assets/cvat_db/data.json
index 22c2ff972ce0..281134748e8e 100644
--- a/tests/python/shared/assets/cvat_db/data.json
+++ b/tests/python/shared/assets/cvat_db/data.json
@@ -36,7 +36,7 @@
   "pk": 1,
   "fields": {
     "password": "pbkdf2_sha256$260000$DevmxlmLwciP1P6sZs2Qag$U9DFtjTWx96Sk95qY6UXVcvpdQEP2LcoFBftk5D2RKY=",
-    "last_login": "2022-09-21T07:30:11.348Z",
+    "last_login": "2022-09-22T14:21:28.429Z",
     "is_superuser": true,
     "username": "admin1",
     "first_name": "Admin",
@@ -455,14 +455,6 @@
     "user_permissions": []
   }
 },
-{
-  "model": "sessions.session",
-  "pk": "367mioixw2ryaso0wmfsv8k3ftscaeqi",
-  "fields": {
-    "session_data": ".eJxVjDkOwjAUBe_iGll4w_mU9JzB-ptwADlSnFSIu0OkFNC-mXkvU3Bdalm7zmUUczbOHH43Qn5o24Dcsd0my1Nb5pHsptiddnudRJ-X3f07qNjrtwbvY-YkzJEhBMCMoOQzHl1UIRlAQT2QyzESJ3eSkBNBUICMaUDz_gDnlzft:1oauBP:YfAF6bOrO0vcPuTZJquSvHif0yb3o-eTj4BraKGeHcY",
-    "expire_date": "2022-10-05T07:30:11.361Z"
-  }
-},
 {
   "model": "sessions.session",
   "pk": "5x9v6r58e4l9if78anupog0ittsq2w3j",
@@ -495,6 +487,14 @@
     "expire_date": "2022-06-22T08:32:30.157Z"
   }
 },
+{
+  "model": "sessions.session",
+  "pk": "g7a60a11wtv3gyf63z38yo9dynrriy2o",
+  "fields": {
+    "session_data": ".eJxVjMEOwiAQRP-FsyG7oSB49O43kF22SNVAUtqT8d9tkx70Mod5b-atIq1LiWsf5ziJuihUp9-OKT3HugN5UL03nVpd5on1ruiDdn1rMr6uh_t3UKiXbZ1BbEggBBCyMwSC6PEsgBzYoM0pgHUAnvwQjOFsrDM-DVsIA7H6fAHNgTcq:1obN4y:bkeYqNAs8mjLT_JEXhoEQ5K5wMW1KiEr72ahxoqc1SA",
+    "expire_date": "2022-10-06T14:21:28.474Z"
+  }
+},
 {
   "model": "sessions.session",
   "pk": "gcz795933839j3g0t3rjgmikzkzlwse3",
@@ -1078,10 +1078,10 @@
   "pk": 13,
   "fields": {
     "chunk_size": 72,
-    "size": 9,
+    "size": 8,
     "image_quality": 70,
     "start_frame": 0,
-    "stop_frame": 8,
+    "stop_frame": 7,
     "frame_filter": "",
     "compressed_chunk_type": "imageset",
     "original_chunk_type": "imageset",
@@ -2125,17 +2125,6 @@
     "height": 208
   }
 },
-{
-  "model": "engine.image",
-  "pk": 441,
-  "fields": {
-    "data": 13,
-    "path": "9.png",
-    "frame": 8,
-    "width": 617,
-    "height": 167
-  }
-},
 {
   "model": "engine.project",
   "pk": 1,
@@ -2224,10 +2213,10 @@
     ],
     "assignee": null,
     "bug_tracker": "",
-    "created_date": "2022-09-21T07:30:22.607Z",
-    "updated_date": "2022-09-21T07:31:55.223Z",
+    "created_date": "2022-09-22T14:21:53.791Z",
+    "updated_date": "2022-09-22T14:23:34.559Z",
     "status": "annotation",
-    "organization": null,
+    "organization": 2,
     "source_storage": 5,
     "target_storage": 6
   }
@@ -2481,15 +2470,15 @@
     ],
     "assignee": null,
     "bug_tracker": "",
-    "created_date": "2022-09-21T07:30:41.530Z",
-    "updated_date": "2022-09-21T07:30:41.758Z",
+    "created_date": "2022-09-22T14:22:25.820Z",
+    "updated_date": "2022-09-22T14:22:26.250Z",
     "overlap": 0,
-    "segment_size": 9,
+    "segment_size": 8,
     "status": "annotation",
     "data": 13,
     "dimension": "2d",
     "subset": "",
-    "organization": null,
+    "organization": 2,
     "source_storage": 7,
     "target_storage": 8
   }
@@ -3201,14 +3190,6 @@
 {
   "model": "engine.clientfile",
   "pk": 436,
-  "fields": {
-    "data": 13,
-    "file": "/home/django/data/data/13/raw/9.png"
-  }
-},
-{
-  "model": "engine.clientfile",
-  "pk": 437,
   "fields": {
     "data": 13,
     "file": "/home/django/data/data/13/raw/7.png"
@@ -3216,7 +3197,7 @@
 },
 {
   "model": "engine.clientfile",
-  "pk": 438,
+  "pk": 437,
   "fields": {
     "data": 13,
     "file": "/home/django/data/data/13/raw/1.png"
@@ -3224,7 +3205,7 @@
 },
 {
   "model": "engine.clientfile",
-  "pk": 439,
+  "pk": 438,
   "fields": {
     "data": 13,
     "file": "/home/django/data/data/13/raw/3.png"
@@ -3232,7 +3213,7 @@
 },
 {
   "model": "engine.clientfile",
-  "pk": 440,
+  "pk": 439,
   "fields": {
     "data": 13,
     "file": "/home/django/data/data/13/raw/8.png"
@@ -3240,7 +3221,7 @@
 },
 {
   "model": "engine.clientfile",
-  "pk": 441,
+  "pk": 440,
   "fields": {
     "data": 13,
     "file": "/home/django/data/data/13/raw/5.png"
@@ -3248,7 +3229,7 @@
 },
 {
   "model": "engine.clientfile",
-  "pk": 442,
+  "pk": 441,
   "fields": {
     "data": 13,
     "file": "/home/django/data/data/13/raw/2.png"
@@ -3368,7 +3349,7 @@
   "fields": {
     "task": 14,
     "start_frame": 0,
-    "stop_frame": 8
+    "stop_frame": 7
   }
 },
 {
@@ -3519,7 +3500,7 @@
   "fields": {
     "segment": 18,
     "assignee": null,
-    "updated_date": "2022-09-21T07:30:41.741Z",
+    "updated_date": "2022-09-22T14:22:26.216Z",
     "status": "annotation",
     "stage": "annotation",
     "state": "new"
@@ -3818,7 +3799,7 @@
   "pk": 1,
   "fields": {
     "root": 18,
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 },
 {
@@ -3826,7 +3807,7 @@
   "pk": 2,
   "fields": {
     "root": 22,
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 },
 {
@@ -4543,7 +4524,7 @@
     "owner": [
       "admin1"
     ],
-    "timestamp": "2022-09-21T07:30:41.744Z",
+    "timestamp": "2022-09-22T14:22:26.222Z",
     "data": {
       "stage": "annotation",
       "state": "new",
diff --git a/tests/python/shared/assets/jobs.json b/tests/python/shared/assets/jobs.json
index c6e54f4f2b39..18c18c06ae00 100644
--- a/tests/python/shared/assets/jobs.json
+++ b/tests/python/shared/assets/jobs.json
@@ -123,7 +123,7 @@
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           "type": "skeleton"
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         {
@@ -185,7 +185,7 @@
               "type": "points"
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-          "svg": "<line x1=\"32.026023864746094\" y1=\"60.70234298706055\" x2=\"69.65144348144531\" y2=\"27.090301513671875\" stroke=\"black\" data-type=\"edge\" data-node-from=\"2\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"6.44074010848999\" y1=\"30.769229888916016\" x2=\"32.026023864746094\" y2=\"60.70234298706055\" 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=\"6.44074010848999\" cy=\"30.769229888916016\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"19\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"32.026023864746094\" cy=\"60.70234298706055\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"20\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"69.65144348144531\" cy=\"27.090301513671875\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-id=\"21\"></circle>",
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           "type": "skeleton"
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       ],
@@ -195,9 +195,9 @@
       "start_frame": 0,
       "state": "new",
       "status": "annotation",
-      "stop_frame": 8,
+      "stop_frame": 7,
       "task_id": 14,
-      "updated_date": "2022-09-21T07:30:41.741000Z",
+      "updated_date": "2022-09-22T14:22:26.216000Z",
       "url": "http://localhost:8080/api/jobs/18"
     },
     {
diff --git a/tests/python/shared/assets/projects.json b/tests/python/shared/assets/projects.json
index aa994fe9fe8d..ec06e1345b30 100644
--- a/tests/python/shared/assets/projects.json
+++ b/tests/python/shared/assets/projects.json
@@ -6,7 +6,7 @@
     {
       "assignee": null,
       "bug_tracker": "",
-      "created_date": "2022-09-21T07:30:22.607000Z",
+      "created_date": "2022-09-22T14:21:53.791000Z",
       "dimension": "2d",
       "id": 5,
       "labels": [
@@ -42,7 +42,7 @@
               "type": "points"
             }
           ],
-          "svg": "<line x1=\"32.026023864746094\" y1=\"60.70234298706055\" x2=\"69.65144348144531\" y2=\"27.090301513671875\" stroke=\"black\" data-type=\"edge\" data-node-from=\"2\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"6.44074010848999\" y1=\"30.769229888916016\" x2=\"32.026023864746094\" y2=\"60.70234298706055\" 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=\"6.44074010848999\" cy=\"30.769229888916016\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"19\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"32.026023864746094\" cy=\"60.70234298706055\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"20\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"69.65144348144531\" cy=\"27.090301513671875\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-id=\"21\"></circle>",
+          "svg": "<line x1=\"36.37385177612305\" y1=\"50.334449768066406\" x2=\"70.15311431884766\" y2=\"21.237457275390625\" stroke=\"black\" data-type=\"edge\" data-node-from=\"2\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"29.517663955688477\" y1=\"15.050167083740234\" x2=\"36.37385177612305\" y2=\"50.334449768066406\" 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=\"29.517663955688477\" cy=\"15.050167083740234\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"19\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"36.37385177612305\" cy=\"50.334449768066406\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"20\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"70.15311431884766\" cy=\"21.237457275390625\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-id=\"21\"></circle>",
           "type": "skeleton"
         },
         {
@@ -136,7 +136,7 @@
               "type": "points"
             }
           ],
-          "svg": "<line x1=\"70.15311431884766\" y1=\"23.4113712310791\" x2=\"36.37385177612305\" y2=\"69.7324447631836\" stroke=\"black\" data-type=\"edge\" data-node-from=\"3\" stroke-width=\"0.5\" data-node-to=\"2\"></line><line x1=\"81.18990325927734\" y1=\"57.85953140258789\" x2=\"70.15311431884766\" y2=\"23.4113712310791\" stroke=\"black\" data-type=\"edge\" data-node-from=\"4\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"18.81532096862793\" y1=\"31.438127517700195\" x2=\"81.18990325927734\" y2=\"57.85953140258789\" 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=\"18.81532096862793\" cy=\"31.438127517700195\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"23\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"36.37385177612305\" cy=\"69.7324447631836\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"24\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"70.15311431884766\" cy=\"23.4113712310791\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-id=\"25\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"81.18990325927734\" cy=\"57.85953140258789\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"4\" data-node-id=\"4\" data-label-id=\"26\"></circle>",
+          "svg": "<line x1=\"65.6380615234375\" y1=\"18.394649505615234\" x2=\"22.327028274536133\" y2=\"54.8494987487793\" stroke=\"black\" data-type=\"edge\" data-node-from=\"3\" stroke-width=\"0.5\" data-node-to=\"2\"></line><line x1=\"77.34375\" y1=\"55.18394470214844\" x2=\"65.6380615234375\" y2=\"18.394649505615234\" stroke=\"black\" data-type=\"edge\" data-node-from=\"4\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"4.434051036834717\" y1=\"27.257524490356445\" x2=\"77.34375\" y2=\"55.18394470214844\" 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=\"4.434051036834717\" cy=\"27.257524490356445\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"23\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"22.327028274536133\" cy=\"54.8494987487793\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"24\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"65.6380615234375\" cy=\"18.394649505615234\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-id=\"25\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"77.34375\" cy=\"55.18394470214844\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"4\" data-node-id=\"4\" data-label-id=\"26\"></circle>",
           "type": "skeleton"
         },
         {
@@ -189,7 +189,7 @@
         }
       ],
       "name": "project5",
-      "organization": null,
+      "organization": 2,
       "owner": {
         "first_name": "Admin",
         "id": 1,
@@ -212,7 +212,7 @@
       "tasks": [
         14
       ],
-      "updated_date": "2022-09-21T07:31:55.223000Z",
+      "updated_date": "2022-09-22T14:23:34.559000Z",
       "url": "http://localhost:8080/api/projects/5"
     },
     {
diff --git a/tests/python/shared/assets/tasks.json b/tests/python/shared/assets/tasks.json
index 945a5d941865..92decb0c0d6d 100644
--- a/tests/python/shared/assets/tasks.json
+++ b/tests/python/shared/assets/tasks.json
@@ -6,7 +6,7 @@
     {
       "assignee": null,
       "bug_tracker": "",
-      "created_date": "2022-09-21T07:30:41.530000Z",
+      "created_date": "2022-09-22T14:22:25.820000Z",
       "data": 13,
       "data_chunk_size": 72,
       "data_compressed_chunk_type": "imageset",
@@ -127,7 +127,7 @@
               "type": "points"
             }
           ],
-          "svg": "<line x1=\"70.15311431884766\" y1=\"23.4113712310791\" x2=\"36.37385177612305\" y2=\"69.7324447631836\" stroke=\"black\" data-type=\"edge\" data-node-from=\"3\" stroke-width=\"0.5\" data-node-to=\"2\"></line><line x1=\"81.18990325927734\" y1=\"57.85953140258789\" x2=\"70.15311431884766\" y2=\"23.4113712310791\" stroke=\"black\" data-type=\"edge\" data-node-from=\"4\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"18.81532096862793\" y1=\"31.438127517700195\" x2=\"81.18990325927734\" y2=\"57.85953140258789\" 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=\"18.81532096862793\" cy=\"31.438127517700195\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"23\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"36.37385177612305\" cy=\"69.7324447631836\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"24\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"70.15311431884766\" cy=\"23.4113712310791\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-id=\"25\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"81.18990325927734\" cy=\"57.85953140258789\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"4\" data-node-id=\"4\" data-label-id=\"26\"></circle>",
+          "svg": "<line x1=\"65.6380615234375\" y1=\"18.394649505615234\" x2=\"22.327028274536133\" y2=\"54.8494987487793\" stroke=\"black\" data-type=\"edge\" data-node-from=\"3\" stroke-width=\"0.5\" data-node-to=\"2\"></line><line x1=\"77.34375\" y1=\"55.18394470214844\" x2=\"65.6380615234375\" y2=\"18.394649505615234\" stroke=\"black\" data-type=\"edge\" data-node-from=\"4\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"4.434051036834717\" y1=\"27.257524490356445\" x2=\"77.34375\" y2=\"55.18394470214844\" 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=\"4.434051036834717\" cy=\"27.257524490356445\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"23\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"22.327028274536133\" cy=\"54.8494987487793\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"24\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"65.6380615234375\" cy=\"18.394649505615234\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-id=\"25\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"77.34375\" cy=\"55.18394470214844\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"4\" data-node-id=\"4\" data-label-id=\"26\"></circle>",
           "type": "skeleton"
         },
         {
@@ -189,13 +189,13 @@
               "type": "points"
             }
           ],
-          "svg": "<line x1=\"32.026023864746094\" y1=\"60.70234298706055\" x2=\"69.65144348144531\" y2=\"27.090301513671875\" stroke=\"black\" data-type=\"edge\" data-node-from=\"2\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"6.44074010848999\" y1=\"30.769229888916016\" x2=\"32.026023864746094\" y2=\"60.70234298706055\" 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=\"6.44074010848999\" cy=\"30.769229888916016\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"19\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"32.026023864746094\" cy=\"60.70234298706055\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"20\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"69.65144348144531\" cy=\"27.090301513671875\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-id=\"21\"></circle>",
+          "svg": "<line x1=\"36.37385177612305\" y1=\"50.334449768066406\" x2=\"70.15311431884766\" y2=\"21.237457275390625\" stroke=\"black\" data-type=\"edge\" data-node-from=\"2\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"29.517663955688477\" y1=\"15.050167083740234\" x2=\"36.37385177612305\" y2=\"50.334449768066406\" 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=\"29.517663955688477\" cy=\"15.050167083740234\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-id=\"19\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"36.37385177612305\" cy=\"50.334449768066406\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-id=\"20\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"70.15311431884766\" cy=\"21.237457275390625\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-id=\"21\"></circle>",
           "type": "skeleton"
         }
       ],
       "mode": "annotation",
       "name": "task1 in project5",
-      "organization": null,
+      "organization": 2,
       "overlap": 0,
       "owner": {
         "first_name": "Admin",
@@ -205,7 +205,7 @@
         "username": "admin1"
       },
       "project_id": 5,
-      "segment_size": 9,
+      "segment_size": 8,
       "segments": [
         {
           "jobs": [
@@ -219,10 +219,10 @@
             }
           ],
           "start_frame": 0,
-          "stop_frame": 8
+          "stop_frame": 7
         }
       ],
-      "size": 9,
+      "size": 8,
       "source_storage": {
         "cloud_storage_id": null,
         "id": 7,
@@ -235,7 +235,7 @@
         "id": 8,
         "location": "local"
       },
-      "updated_date": "2022-09-21T07:30:41.758000Z",
+      "updated_date": "2022-09-22T14:22:26.250000Z",
       "url": "http://localhost:8080/api/tasks/14"
     },
     {
diff --git a/tests/python/shared/assets/users.json b/tests/python/shared/assets/users.json
index 53648d7814cd..9cf1125ae4a1 100644
--- a/tests/python/shared/assets/users.json
+++ b/tests/python/shared/assets/users.json
@@ -310,7 +310,7 @@
       "is_active": true,
       "is_staff": true,
       "is_superuser": true,
-      "last_login": "2022-09-21T07:30:11.348024Z",
+      "last_login": "2022-09-22T14:21:28.429901Z",
       "last_name": "First",
       "url": "http://localhost:8080/api/users/1",
       "username": "admin1"
diff --git a/tests/python/shared/fixtures/data.py b/tests/python/shared/fixtures/data.py
index c686b2373427..3c4b6355ce0f 100644
--- a/tests/python/shared/fixtures/data.py
+++ b/tests/python/shared/fixtures/data.py
@@ -247,8 +247,10 @@ def find(jobs, users, is_staff):
 
 @pytest.fixture(scope='session')
 def find_task_staff_user(is_task_staff):
-    def find(tasks, users, is_staff):
+    def find(tasks, users, is_staff, wo_tasks=[]):
         for task in tasks:
+            if task['id'] in wo_tasks:
+                continue
             for user in users:
                 if is_staff == is_task_staff(user['id'], task['id']):
                     return user['username'], task['id']

From c153d93554695b40adaa386e58bd2cc387bacdfe Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Fri, 23 Sep 2022 11:47:32 +0300
Subject: [PATCH 18/34] Small fix

---
 tests/python/rest_api/test_projects.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/python/rest_api/test_projects.py b/tests/python/rest_api/test_projects.py
index bc60def8bc14..853921fcdbc0 100644
--- a/tests/python/rest_api/test_projects.py
+++ b/tests/python/rest_api/test_projects.py
@@ -13,7 +13,7 @@
 from copy import deepcopy
 from deepdiff import DeepDiff
 
-from shared.utils.config import get_method, patch_method, make_api_client, post_files_method, post_method
+from shared.utils.config import get_method, patch_method, make_api_client
 from .utils import export_dataset
 
 

From a31b1a4cd352eb0c18cbf63363ee3e25184605aa Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Fri, 23 Sep 2022 16:36:43 +0300
Subject: [PATCH 19/34] Update tests

---
 tests/python/rest_api/test_jobs.py            |   4 +-
 tests/python/shared/assets/annotations.json   | 570 +++++++++++++++++-
 .../shared/assets/cvat_db/cvat_data.tar.bz2   | Bin 59265 -> 68170 bytes
 tests/python/shared/assets/cvat_db/data.json  | 403 ++++++++++++-
 tests/python/shared/assets/jobs.json          |   4 +-
 tests/python/shared/assets/projects.json      |   2 +-
 tests/python/shared/assets/tasks.json         |   4 +-
 tests/python/shared/assets/users.json         |   2 +-
 tests/python/shared/fixtures/data.py          |   4 +-
 9 files changed, 976 insertions(+), 17 deletions(-)

diff --git a/tests/python/rest_api/test_jobs.py b/tests/python/rest_api/test_jobs.py
index 508b245c0591..880feba7a51f 100644
--- a/tests/python/rest_api/test_jobs.py
+++ b/tests/python/rest_api/test_jobs.py
@@ -241,7 +241,7 @@ def test_member_update_job_annotations(self, org, role, job_staff, expect_succes
         users = find_users(role=role, org=org)
         jobs = jobs_by_org[org]
         filtered_jobs = filter_jobs_with_shapes(jobs)
-        username, jid = find_job_staff_user(filtered_jobs, users, job_staff)
+        username, jid = find_job_staff_user(filtered_jobs, users, job_staff, [18])
 
         data = request_data(jid)
         self._check_respone(username, jid, expect_success, data, org=org)
@@ -255,7 +255,7 @@ def test_non_member_update_job_annotations(self, org, privilege, expect_success,
         users = find_users(privilege=privilege, exclude_org=org)
         jobs = jobs_by_org[org]
         filtered_jobs = filter_jobs_with_shapes(jobs)
-        username, jid = find_job_staff_user(filtered_jobs, users, False)
+        username, jid = find_job_staff_user(filtered_jobs, users, False, [18])
 
         data = request_data(jid)
         self._check_respone(username, jid, expect_success, data, org=org)
diff --git a/tests/python/shared/assets/annotations.json b/tests/python/shared/assets/annotations.json
index 6bff9afa7a3f..36df01041962 100644
--- a/tests/python/shared/assets/annotations.json
+++ b/tests/python/shared/assets/annotations.json
@@ -366,9 +366,290 @@
       "version": 0
     },
     "18": {
-      "shapes": [],
+      "shapes": [
+        {
+          "attributes": [
+            {
+              "spec_id": 2,
+              "value": "white"
+            }
+          ],
+          "elements": [
+            {
+              "attributes": [
+                {
+                  "spec_id": 3,
+                  "value": "val1"
+                }
+              ],
+              "frame": 0,
+              "group": 0,
+              "id": 39,
+              "label_id": 25,
+              "occluded": false,
+              "outside": false,
+              "points": [
+                259.91862203681984,
+                67.8260869565238
+              ],
+              "rotation": 0.0,
+              "source": "manual",
+              "type": "points",
+              "z_order": 0
+            },
+            {
+              "attributes": [],
+              "frame": 0,
+              "group": 0,
+              "id": 40,
+              "label_id": 26,
+              "occluded": false,
+              "outside": false,
+              "points": [
+                283.65217391304554,
+                276.52173913043686
+              ],
+              "rotation": 0.0,
+              "source": "manual",
+              "type": "points",
+              "z_order": 0
+            },
+            {
+              "attributes": [],
+              "frame": 0,
+              "group": 0,
+              "id": 37,
+              "label_id": 23,
+              "occluded": false,
+              "outside": false,
+              "points": [
+                135.8260869565238,
+                118.10276296228554
+              ],
+              "rotation": 0.0,
+              "source": "manual",
+              "type": "points",
+              "z_order": 0
+            },
+            {
+              "attributes": [],
+              "frame": 0,
+              "group": 0,
+              "id": 38,
+              "label_id": 24,
+              "occluded": false,
+              "outside": false,
+              "points": [
+                172.10450871201368,
+                274.6245183225243
+              ],
+              "rotation": 0.0,
+              "source": "manual",
+              "type": "points",
+              "z_order": 0
+            }
+          ],
+          "frame": 0,
+          "group": 0,
+          "id": 36,
+          "label_id": 22,
+          "occluded": false,
+          "outside": false,
+          "points": [],
+          "rotation": 0.0,
+          "source": "manual",
+          "type": "skeleton",
+          "z_order": 0
+        }
+      ],
       "tags": [],
-      "tracks": [],
+      "tracks": [
+        {
+          "attributes": [
+            {
+              "spec_id": 2,
+              "value": "white"
+            }
+          ],
+          "elements": [
+            {
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+              "label_id": 23,
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+                    355.0592829431864
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+                    137.0966796875,
+                    156.11214469590232
+                  ],
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+                  "type": "points",
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+                }
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+            {
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+              "group": 0,
+              "id": 3,
+              "label_id": 24,
+              "shapes": [
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+                  "id": 3,
+                  "occluded": false,
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+                    461.9389738212561,
+                    583.320176176868
+                  ],
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+                  "type": "points",
+                  "z_order": 0
+                },
+                {
+                  "attributes": [],
+                  "frame": 3,
+                  "id": 7,
+                  "occluded": false,
+                  "outside": false,
+                  "points": [
+                    217.12261003049207,
+                    384.3730379295848
+                  ],
+                  "rotation": 0.0,
+                  "type": "points",
+                  "z_order": 0
+                }
+              ],
+              "source": "manual"
+            },
+            {
+              "attributes": [
+                {
+                  "spec_id": 3,
+                  "value": "val1"
+                }
+              ],
+              "frame": 0,
+              "group": 0,
+              "id": 4,
+              "label_id": 25,
+              "shapes": [
+                {
+                  "attributes": [],
+                  "frame": 0,
+                  "id": 4,
+                  "occluded": false,
+                  "outside": false,
+                  "points": [
+                    655.6465767436227,
+                    281.7391304347839
+                  ],
+                  "rotation": 0.0,
+                  "type": "points",
+                  "z_order": 0
+                },
+                {
+                  "attributes": [],
+                  "frame": 3,
+                  "id": 8,
+                  "occluded": false,
+                  "outside": false,
+                  "points": [
+                    410.83021295285835,
+                    82.7919921875
+                  ],
+                  "rotation": 0.0,
+                  "type": "points",
+                  "z_order": 0
+                }
+              ],
+              "source": "manual"
+            },
+            {
+              "attributes": [],
+              "frame": 0,
+              "group": 0,
+              "id": 5,
+              "label_id": 26,
+              "shapes": [
+                {
+                  "attributes": [],
+                  "frame": 0,
+                  "id": 5,
+                  "occluded": false,
+                  "outside": false,
+                  "points": [
+                    708.000000000003,
+                    586.0869565217404
+                  ],
+                  "rotation": 0.0,
+                  "type": "points",
+                  "z_order": 0
+                },
+                {
+                  "attributes": [],
+                  "frame": 3,
+                  "id": 9,
+                  "occluded": false,
+                  "outside": false,
+                  "points": [
+                    463.1836362092399,
+                    387.13981827445605
+                  ],
+                  "rotation": 0.0,
+                  "type": "points",
+                  "z_order": 0
+                }
+              ],
+              "source": "manual"
+            }
+          ],
+          "frame": 0,
+          "group": 0,
+          "id": 1,
+          "label_id": 22,
+          "shapes": [
+            {
+              "attributes": [],
+              "frame": 0,
+              "id": 1,
+              "occluded": false,
+              "outside": false,
+              "points": [],
+              "rotation": 0.0,
+              "type": "skeleton",
+              "z_order": 0
+            }
+          ],
+          "source": "manual"
+        }
+      ],
       "version": 0
     }
   },
@@ -727,9 +1008,290 @@
       "version": 0
     },
     "14": {
-      "shapes": [],
+      "shapes": [
+        {
+          "attributes": [
+            {
+              "spec_id": 2,
+              "value": "white"
+            }
+          ],
+          "elements": [
+            {
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+                  "value": "val1"
+                }
+              ],
+              "frame": 0,
+              "group": 0,
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+              "label_id": 25,
+              "occluded": false,
+              "outside": false,
+              "points": [
+                259.91862203681984,
+                67.8260869565238
+              ],
+              "rotation": 0.0,
+              "source": "manual",
+              "type": "points",
+              "z_order": 0
+            },
+            {
+              "attributes": [],
+              "frame": 0,
+              "group": 0,
+              "id": 40,
+              "label_id": 26,
+              "occluded": false,
+              "outside": false,
+              "points": [
+                283.65217391304554,
+                276.52173913043686
+              ],
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+              "label_id": 23,
+              "occluded": false,
+              "outside": false,
+              "points": [
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+                118.10276296228554
+              ],
+              "rotation": 0.0,
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+              "label_id": 24,
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+              "points": [
+                172.10450871201368,
+                274.6245183225243
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+          "source": "manual",
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+        }
+      ],
       "tags": [],
-      "tracks": [],
+      "tracks": [
+        {
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+              "value": "white"
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diff --git a/tests/python/shared/assets/cvat_db/data.json b/tests/python/shared/assets/cvat_db/data.json
index 281134748e8e..49ca0424a71b 100644
--- a/tests/python/shared/assets/cvat_db/data.json
+++ b/tests/python/shared/assets/cvat_db/data.json
@@ -2214,7 +2214,7 @@
     "assignee": null,
     "bug_tracker": "",
     "created_date": "2022-09-22T14:21:53.791Z",
-    "updated_date": "2022-09-22T14:23:34.559Z",
+    "updated_date": "2022-09-23T11:57:02.088Z",
     "status": "annotation",
     "organization": 2,
     "source_storage": 5,
@@ -2471,7 +2471,7 @@
     "assignee": null,
     "bug_tracker": "",
     "created_date": "2022-09-22T14:22:25.820Z",
-    "updated_date": "2022-09-22T14:22:26.250Z",
+    "updated_date": "2022-09-23T11:57:02.300Z",
     "overlap": 0,
     "segment_size": 8,
     "status": "annotation",
@@ -3500,10 +3500,10 @@
   "fields": {
     "segment": 18,
     "assignee": null,
-    "updated_date": "2022-09-22T14:22:26.216Z",
+    "updated_date": "2022-09-23T11:57:02.302Z",
     "status": "annotation",
     "stage": "annotation",
-    "state": "new"
+    "state": "in progress"
   }
 },
 {
@@ -4533,6 +4533,89 @@
     "job": 18
   }
 },
+{
+  "model": "engine.jobcommit",
+  "pk": 68,
+  "fields": {
+    "scope": "create",
+    "owner": [
+      "admin1"
+    ],
+    "timestamp": "2022-09-23T11:56:30.270Z",
+    "data": {
+      "stage": "annotation",
+      "state": "new",
+      "assignee": null
+    },
+    "job": 18
+  }
+},
+{
+  "model": "engine.jobcommit",
+  "pk": 69,
+  "fields": {
+    "scope": "create",
+    "owner": [
+      "admin1"
+    ],
+    "timestamp": "2022-09-23T11:56:30.533Z",
+    "data": {
+      "stage": "annotation",
+      "state": "in progress",
+      "assignee": null
+    },
+    "job": 18
+  }
+},
+{
+  "model": "engine.jobcommit",
+  "pk": 70,
+  "fields": {
+    "scope": "update",
+    "owner": [
+      "admin1"
+    ],
+    "timestamp": "2022-09-23T11:56:30.535Z",
+    "data": {
+      "state": "in progress"
+    },
+    "job": 18
+  }
+},
+{
+  "model": "engine.jobcommit",
+  "pk": 71,
+  "fields": {
+    "scope": "create",
+    "owner": [
+      "admin1"
+    ],
+    "timestamp": "2022-09-23T11:56:45.344Z",
+    "data": {
+      "stage": "annotation",
+      "state": "in progress",
+      "assignee": null
+    },
+    "job": 18
+  }
+},
+{
+  "model": "engine.jobcommit",
+  "pk": 72,
+  "fields": {
+    "scope": "create",
+    "owner": [
+      "admin1"
+    ],
+    "timestamp": "2022-09-23T11:57:02.307Z",
+    "data": {
+      "stage": "annotation",
+      "state": "in progress",
+      "assignee": null
+    },
+    "job": 18
+  }
+},
 {
   "model": "engine.labeledshape",
   "pk": 1,
@@ -4749,6 +4832,318 @@
     "parent": null
   }
 },
+{
+  "model": "engine.labeledshape",
+  "pk": 36,
+  "fields": {
+    "job": 18,
+    "label": 22,
+    "frame": 0,
+    "group": 0,
+    "source": "manual",
+    "type": "skeleton",
+    "occluded": false,
+    "outside": false,
+    "z_order": 0,
+    "points": "[]",
+    "rotation": 0.0,
+    "parent": null
+  }
+},
+{
+  "model": "engine.labeledshape",
+  "pk": 37,
+  "fields": {
+    "job": 18,
+    "label": 23,
+    "frame": 0,
+    "group": 0,
+    "source": "manual",
+    "type": "points",
+    "occluded": false,
+    "outside": false,
+    "z_order": 0,
+    "points": "[135.8260869565238, 118.10276296228554]",
+    "rotation": 0.0,
+    "parent": 36
+  }
+},
+{
+  "model": "engine.labeledshape",
+  "pk": 38,
+  "fields": {
+    "job": 18,
+    "label": 24,
+    "frame": 0,
+    "group": 0,
+    "source": "manual",
+    "type": "points",
+    "occluded": false,
+    "outside": false,
+    "z_order": 0,
+    "points": "[172.10450871201368, 274.6245183225243]",
+    "rotation": 0.0,
+    "parent": 36
+  }
+},
+{
+  "model": "engine.labeledshape",
+  "pk": 39,
+  "fields": {
+    "job": 18,
+    "label": 25,
+    "frame": 0,
+    "group": 0,
+    "source": "manual",
+    "type": "points",
+    "occluded": false,
+    "outside": false,
+    "z_order": 0,
+    "points": "[259.91862203681984, 67.8260869565238]",
+    "rotation": 0.0,
+    "parent": 36
+  }
+},
+{
+  "model": "engine.labeledshape",
+  "pk": 40,
+  "fields": {
+    "job": 18,
+    "label": 26,
+    "frame": 0,
+    "group": 0,
+    "source": "manual",
+    "type": "points",
+    "occluded": false,
+    "outside": false,
+    "z_order": 0,
+    "points": "[283.65217391304554, 276.52173913043686]",
+    "rotation": 0.0,
+    "parent": 36
+  }
+},
+{
+  "model": "engine.labeledshapeattributeval",
+  "pk": 1,
+  "fields": {
+    "spec": 2,
+    "value": "white",
+    "shape": 36
+  }
+},
+{
+  "model": "engine.labeledshapeattributeval",
+  "pk": 2,
+  "fields": {
+    "spec": 3,
+    "value": "val1",
+    "shape": 39
+  }
+},
+{
+  "model": "engine.labeledtrack",
+  "pk": 1,
+  "fields": {
+    "job": 18,
+    "label": 22,
+    "frame": 0,
+    "group": 0,
+    "source": "manual",
+    "parent": null
+  }
+},
+{
+  "model": "engine.labeledtrack",
+  "pk": 2,
+  "fields": {
+    "job": 18,
+    "label": 23,
+    "frame": 0,
+    "group": 0,
+    "source": "manual",
+    "parent": 1
+  }
+},
+{
+  "model": "engine.labeledtrack",
+  "pk": 3,
+  "fields": {
+    "job": 18,
+    "label": 24,
+    "frame": 0,
+    "group": 0,
+    "source": "manual",
+    "parent": 1
+  }
+},
+{
+  "model": "engine.labeledtrack",
+  "pk": 4,
+  "fields": {
+    "job": 18,
+    "label": 25,
+    "frame": 0,
+    "group": 0,
+    "source": "manual",
+    "parent": 1
+  }
+},
+{
+  "model": "engine.labeledtrack",
+  "pk": 5,
+  "fields": {
+    "job": 18,
+    "label": 26,
+    "frame": 0,
+    "group": 0,
+    "source": "manual",
+    "parent": 1
+  }
+},
+{
+  "model": "engine.labeledtrackattributeval",
+  "pk": 3,
+  "fields": {
+    "spec": 2,
+    "value": "white",
+    "track": 1
+  }
+},
+{
+  "model": "engine.labeledtrackattributeval",
+  "pk": 4,
+  "fields": {
+    "spec": 3,
+    "value": "val1",
+    "track": 4
+  }
+},
+{
+  "model": "engine.trackedshape",
+  "pk": 1,
+  "fields": {
+    "type": "skeleton",
+    "occluded": false,
+    "outside": false,
+    "z_order": 0,
+    "points": "[]",
+    "rotation": 0.0,
+    "track": 1,
+    "frame": 0
+  }
+},
+{
+  "model": "engine.trackedshape",
+  "pk": 2,
+  "fields": {
+    "type": "points",
+    "occluded": false,
+    "outside": false,
+    "z_order": 0,
+    "points": "[381.9130434782637, 355.0592829431864]",
+    "rotation": 0.0,
+    "track": 2,
+    "frame": 0
+  }
+},
+{
+  "model": "engine.trackedshape",
+  "pk": 3,
+  "fields": {
+    "type": "points",
+    "occluded": false,
+    "outside": false,
+    "z_order": 0,
+    "points": "[461.9389738212561, 583.320176176868]",
+    "rotation": 0.0,
+    "track": 3,
+    "frame": 0
+  }
+},
+{
+  "model": "engine.trackedshape",
+  "pk": 4,
+  "fields": {
+    "type": "points",
+    "occluded": false,
+    "outside": false,
+    "z_order": 0,
+    "points": "[655.6465767436227, 281.7391304347839]",
+    "rotation": 0.0,
+    "track": 4,
+    "frame": 0
+  }
+},
+{
+  "model": "engine.trackedshape",
+  "pk": 5,
+  "fields": {
+    "type": "points",
+    "occluded": false,
+    "outside": false,
+    "z_order": 0,
+    "points": "[708.000000000003, 586.0869565217404]",
+    "rotation": 0.0,
+    "track": 5,
+    "frame": 0
+  }
+},
+{
+  "model": "engine.trackedshape",
+  "pk": 6,
+  "fields": {
+    "type": "points",
+    "occluded": false,
+    "outside": false,
+    "z_order": 0,
+    "points": "[137.0966796875, 156.11214469590232]",
+    "rotation": 0.0,
+    "track": 2,
+    "frame": 3
+  }
+},
+{
+  "model": "engine.trackedshape",
+  "pk": 7,
+  "fields": {
+    "type": "points",
+    "occluded": false,
+    "outside": false,
+    "z_order": 0,
+    "points": "[217.12261003049207, 384.3730379295848]",
+    "rotation": 0.0,
+    "track": 3,
+    "frame": 3
+  }
+},
+{
+  "model": "engine.trackedshape",
+  "pk": 8,
+  "fields": {
+    "type": "points",
+    "occluded": false,
+    "outside": false,
+    "z_order": 0,
+    "points": "[410.83021295285835, 82.7919921875]",
+    "rotation": 0.0,
+    "track": 4,
+    "frame": 3
+  }
+},
+{
+  "model": "engine.trackedshape",
+  "pk": 9,
+  "fields": {
+    "type": "points",
+    "occluded": false,
+    "outside": false,
+    "z_order": 0,
+    "points": "[463.1836362092399, 387.13981827445605]",
+    "rotation": 0.0,
+    "track": 5,
+    "frame": 3
+  }
+},
 {
   "model": "engine.profile",
   "pk": 1,
diff --git a/tests/python/shared/assets/jobs.json b/tests/python/shared/assets/jobs.json
index 18c18c06ae00..6155e8974c29 100644
--- a/tests/python/shared/assets/jobs.json
+++ b/tests/python/shared/assets/jobs.json
@@ -193,11 +193,11 @@
       "project_id": 5,
       "stage": "annotation",
       "start_frame": 0,
-      "state": "new",
+      "state": "in progress",
       "status": "annotation",
       "stop_frame": 7,
       "task_id": 14,
-      "updated_date": "2022-09-22T14:22:26.216000Z",
+      "updated_date": "2022-09-23T11:57:02.302000Z",
       "url": "http://localhost:8080/api/jobs/18"
     },
     {
diff --git a/tests/python/shared/assets/projects.json b/tests/python/shared/assets/projects.json
index ec06e1345b30..f464aba80589 100644
--- a/tests/python/shared/assets/projects.json
+++ b/tests/python/shared/assets/projects.json
@@ -212,7 +212,7 @@
       "tasks": [
         14
       ],
-      "updated_date": "2022-09-22T14:23:34.559000Z",
+      "updated_date": "2022-09-23T11:57:02.088000Z",
       "url": "http://localhost:8080/api/projects/5"
     },
     {
diff --git a/tests/python/shared/assets/tasks.json b/tests/python/shared/assets/tasks.json
index 92decb0c0d6d..57ac63b83d27 100644
--- a/tests/python/shared/assets/tasks.json
+++ b/tests/python/shared/assets/tasks.json
@@ -213,7 +213,7 @@
               "assignee": null,
               "id": 18,
               "stage": "annotation",
-              "state": "new",
+              "state": "in progress",
               "status": "annotation",
               "url": "http://localhost:8080/api/jobs/18"
             }
@@ -235,7 +235,7 @@
         "id": 8,
         "location": "local"
       },
-      "updated_date": "2022-09-22T14:22:26.250000Z",
+      "updated_date": "2022-09-23T11:57:02.300000Z",
       "url": "http://localhost:8080/api/tasks/14"
     },
     {
diff --git a/tests/python/shared/assets/users.json b/tests/python/shared/assets/users.json
index 9cf1125ae4a1..2eded1dde47f 100644
--- a/tests/python/shared/assets/users.json
+++ b/tests/python/shared/assets/users.json
@@ -310,7 +310,7 @@
       "is_active": true,
       "is_staff": true,
       "is_superuser": true,
-      "last_login": "2022-09-22T14:21:28.429901Z",
+      "last_login": "2022-09-22T14:21:28.429000Z",
       "last_name": "First",
       "url": "http://localhost:8080/api/users/1",
       "username": "admin1"
diff --git a/tests/python/shared/fixtures/data.py b/tests/python/shared/fixtures/data.py
index 3c4b6355ce0f..cf15a0d21a38 100644
--- a/tests/python/shared/fixtures/data.py
+++ b/tests/python/shared/fixtures/data.py
@@ -237,8 +237,10 @@ def check(user_id, org_id):
 
 @pytest.fixture(scope='session')
 def find_job_staff_user(is_job_staff):
-    def find(jobs, users, is_staff):
+    def find(jobs, users, is_staff, wo_jobs=[]):
         for job in jobs:
+            if job['id'] in wo_jobs:
+                continue
             for user in users:
                 if is_staff == is_job_staff(user['id'], job['id']):
                     return user['username'], job['id']

From dd937ff3fc7be4d7c2222e34e551484ec9292352 Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Fri, 23 Sep 2022 19:13:33 +0300
Subject: [PATCH 20/34] Fixes

---
 cvat/apps/dataset_manager/bindings.py      | 60 ++++++++++++----------
 cvat/apps/dataset_manager/formats/cvat.py  |  5 +-
 cvat/apps/engine/tests/test_rest_api_3D.py |  4 +-
 3 files changed, 38 insertions(+), 31 deletions(-)

diff --git a/cvat/apps/dataset_manager/bindings.py b/cvat/apps/dataset_manager/bindings.py
index 2134e106b69c..cf3dfdd18b61 100644
--- a/cvat/apps/dataset_manager/bindings.py
+++ b/cvat/apps/dataset_manager/bindings.py
@@ -1645,34 +1645,38 @@ def import_dm_annotations(dm_dataset: Dataset, instance_data: Union[TaskData, Pr
                         )
                         tracks[track_id]['shapes'].append(track)
 
-                        if ann.type == datum_annotation.AnnotationType.skeleton:
-                            for element in ann.elements:
-                                if element.label not in tracks[track_id]['elements']:
-                                    tracks[track_id]['elements'][element.label] = instance_data.Track(
-                                        label=label_cat.items[element.label].name,
-                                        group=0,
-                                        source=source,
-                                        shapes=[],
-                                    )
-                                element_attributes = [
-                                    instance_data.Attribute(name=n, value=str(v))
-                                    for n, v in element.attributes.items()
-                                ]
-                                element_occluded = cast(element.attributes.pop('occluded', None), bool) is True
-                                element_outside = cast(element.attributes.pop('outside', None), bool) is True
-                                element_source = element.attributes.pop('source').lower() \
-                                    if element.attributes.get('source', '').lower() in {'auto', 'manual'} else 'manual'
-                                tracks[track_id]['elements'][element.label].shapes.append(instance_data.TrackedShape(
-                                    type=shapes[element.type],
-                                    frame=frame_number,
-                                    occluded=element_occluded,
-                                    outside=element_outside,
-                                    keyframe=keyframe,
-                                    points=element.points,
-                                    z_order=element.z_order,
-                                    source=element_source,
-                                    attributes=element_attributes,
-                                ))
+                    if ann.type == datum_annotation.AnnotationType.skeleton:
+                        for element in ann.elements:
+                            element_keyframe = cast(element.attributes.get('keyframe', None), bool) is True
+                            element_outside = cast(element.attributes.pop('outside', None), bool) is True
+                            if not element_keyframe and not element_outside:
+                                continue
+
+                            if element.label not in tracks[track_id]['elements']:
+                                tracks[track_id]['elements'][element.label] = instance_data.Track(
+                                    label=label_cat.items[element.label].name,
+                                    group=0,
+                                    source=source,
+                                    shapes=[],
+                                )
+                            element_attributes = [
+                                instance_data.Attribute(name=n, value=str(v))
+                                for n, v in element.attributes.items()
+                            ]
+                            element_occluded = cast(element.attributes.pop('occluded', None), bool) is True
+                            element_source = element.attributes.pop('source').lower() \
+                                if element.attributes.get('source', '').lower() in {'auto', 'manual'} else 'manual'
+                            tracks[track_id]['elements'][element.label].shapes.append(instance_data.TrackedShape(
+                                type=shapes[element.type],
+                                frame=frame_number,
+                                occluded=element_occluded,
+                                outside=element_outside,
+                                keyframe=keyframe,
+                                points=element.points,
+                                z_order=element.z_order,
+                                source=element_source,
+                                attributes=element_attributes,
+                            ))
 
                 elif ann.type == datum_annotation.AnnotationType.label:
                     instance_data.add_tag(instance_data.Tag(
diff --git a/cvat/apps/dataset_manager/formats/cvat.py b/cvat/apps/dataset_manager/formats/cvat.py
index b08531b2d6e5..f5e7ba6f91bd 100644
--- a/cvat/apps/dataset_manager/formats/cvat.py
+++ b/cvat/apps/dataset_manager/formats/cvat.py
@@ -1052,7 +1052,10 @@ def dump_track(idx, track):
                 elements=[],
             ) for element in shape.elements]
         }
-        if isinstance(annotations, ProjectData): track['task_id'] = shape.task_id
+        if isinstance(annotations, ProjectData):
+            track['task_id'] = shape.task_id
+            for element in track['elements']:
+                element.task_id = shape.task_id
         dump_track(counter, annotations.Track(**track))
         counter += 1
 
diff --git a/cvat/apps/engine/tests/test_rest_api_3D.py b/cvat/apps/engine/tests/test_rest_api_3D.py
index 35fe7bf2d4f2..92e158301a01 100644
--- a/cvat/apps/engine/tests/test_rest_api_3D.py
+++ b/cvat/apps/engine/tests/test_rest_api_3D.py
@@ -748,6 +748,6 @@ def test_api_v2_export_dataset(self):
                             content = io.BytesIO(b"".join(response.streaming_content))
                             with open(file_name, "wb") as f:
                                 f.write(content.getvalue())
-                            self.assertEqual(osp.exists(file_name), edata['file_exists'])
-                            self._check_dump_content(content, task_ann_prev.data, format_name,related_files=False)
+                        self.assertEqual(osp.exists(file_name), edata['file_exists'])
+                        self._check_dump_content(content, task_ann_prev.data, format_name,related_files=False)
 

From dd849f36866310bfea5e8675ea9bd8de53cf3507 Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Fri, 23 Sep 2022 20:48:26 +0300
Subject: [PATCH 21/34] Fix tests

---
 tests/python/rest_api/test_projects.py | 28 +++++++++++++++-----------
 1 file changed, 16 insertions(+), 12 deletions(-)

diff --git a/tests/python/rest_api/test_projects.py b/tests/python/rest_api/test_projects.py
index 853921fcdbc0..0e5b16158215 100644
--- a/tests/python/rest_api/test_projects.py
+++ b/tests/python/rest_api/test_projects.py
@@ -349,23 +349,27 @@ def test_can_import_dataset_in_org(self, admin_user):
 
         self._test_import_project(admin_user, project_id, 'CVAT 1.1', import_data)
 
-    def test_can_export_and_import_dataset_with_skeletons(self, admin_user):
+    @pytest.mark.usefixtures("changedb")
+    @pytest.mark.usefixtures("restore_cvat_data")
+    @pytest.mark.parametrize('export_format', ('COCO Keypoints 1.0', 'CVAT for images 1.1', 'CVAT for video 1.1'))
+    def test_can_export_and_import_dataset_with_skeletons(self, export_format):
         project_id = 5
+        username = 'admin1'
 
-        export_formats = ["COCO Keypoints 1.0", "CVAT for images 1.1", "CVAT for video 1.1"]
-        import_formats = ["COCO Keypoints 1.0", "CVAT 1.1", "CVAT 1.1"]
+        response = self._test_export_project(username, project_id, export_format)
 
-        for export_format, import_format in zip(export_formats, import_formats):
-            response = self._test_export_project(admin_user, project_id, export_format)
-
-            tmp_file = io.BytesIO(response.data)
-            tmp_file.name = 'dataset.zip'
+        tmp_file = io.BytesIO(response.data)
+        tmp_file.name = 'dataset.zip'
 
-            import_data = {
-                'dataset_file': tmp_file,
-            }
+        import_data = {
+            'dataset_file': tmp_file,
+        }
 
-            self._test_import_project(admin_user, project_id, import_format, import_data)
+        if export_format == 'COCO Keypoints 1.0':
+            import_format = export_format
+        else:
+            import_format = 'CVAT 1.1'
+        self._test_import_project(username, project_id, import_format, import_data)
 
     def _test_can_get_project_backup(self, username, pid, **kwargs):
         for _ in range(30):

From 9f83cd7eea887c053211e92ec550c6e37176ebf9 Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Fri, 23 Sep 2022 23:23:29 +0300
Subject: [PATCH 22/34] Add tests

---
 tests/python/rest_api/test_projects.py | 28 ++++++++++++++++----------
 1 file changed, 17 insertions(+), 11 deletions(-)

diff --git a/tests/python/rest_api/test_projects.py b/tests/python/rest_api/test_projects.py
index 0e5b16158215..ba4e177b96f8 100644
--- a/tests/python/rest_api/test_projects.py
+++ b/tests/python/rest_api/test_projects.py
@@ -349,27 +349,33 @@ def test_can_import_dataset_in_org(self, admin_user):
 
         self._test_import_project(admin_user, project_id, 'CVAT 1.1', import_data)
 
-    @pytest.mark.usefixtures("changedb")
-    @pytest.mark.usefixtures("restore_cvat_data")
-    @pytest.mark.parametrize('export_format', ('COCO Keypoints 1.0', 'CVAT for images 1.1', 'CVAT for video 1.1'))
-    def test_can_export_and_import_dataset_with_skeletons(self, export_format):
+    def test_can_export_and_import_dataset_with_skeletons_cvat_for_images(self):
         project_id = 5
-        username = 'admin1'
+        username = 'admin2'
 
-        response = self._test_export_project(username, project_id, export_format)
+        response = self._test_export_project(username, project_id, 'CVAT for images 1.1')
 
         tmp_file = io.BytesIO(response.data)
         tmp_file.name = 'dataset.zip'
+        import_data = {
+            'dataset_file': tmp_file,
+        }
+
+        self._test_import_project(username, project_id, 'CVAT 1.1', import_data)
+
+    def test_can_export_and_import_dataset_with_skeletons_cvat_for_video(self):
+        project_id = 5
+        username = 'admin2'
+
+        response = self._test_export_project(username, project_id, 'CVAT for video 1.1')
 
+        tmp_file = io.BytesIO(response.data)
+        tmp_file.name = 'dataset.zip'
         import_data = {
             'dataset_file': tmp_file,
         }
 
-        if export_format == 'COCO Keypoints 1.0':
-            import_format = export_format
-        else:
-            import_format = 'CVAT 1.1'
-        self._test_import_project(username, project_id, import_format, import_data)
+        self._test_import_project(username, project_id, 'CVAT 1.1', import_data)
 
     def _test_can_get_project_backup(self, username, pid, **kwargs):
         for _ in range(30):

From 7fa94e7b61cba669d80a17d6de396c3ecaf59ada Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Fri, 23 Sep 2022 23:37:38 +0300
Subject: [PATCH 23/34] Small fix

---
 cvat/apps/dataset_manager/bindings.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/cvat/apps/dataset_manager/bindings.py b/cvat/apps/dataset_manager/bindings.py
index cf3dfdd18b61..b9acd19d4a4a 100644
--- a/cvat/apps/dataset_manager/bindings.py
+++ b/cvat/apps/dataset_manager/bindings.py
@@ -1101,9 +1101,9 @@ def _load_user_info(meta: dict):
     def _read_cvat_anno(self, cvat_frame_anno: Union[ProjectData.Frame, TaskData.Frame], labels: list):
         categories = self.categories()
         label_cat = categories[datum_annotation.AnnotationType.label]
-        def map_label(name): return label_cat.find(name)[0]
+        def map_label(name, parent=''): return label_cat.find(name, parent)[0]
         label_attrs = {
-            label['name']: label['attributes']
+            label.get('parent', '') + label['name']: label['attributes']
             for _, label in labels
         }
 
@@ -1198,9 +1198,9 @@ def _make_image(i, **kwargs):
     def _read_cvat_anno(self, cvat_frame_anno: TaskData.Frame, labels: list):
         categories = self.categories()
         label_cat = categories[datum_annotation.AnnotationType.label]
-        def map_label(name, parent=""): return label_cat.find(name, parent)[0]
+        def map_label(name, parent=''): return label_cat.find(name, parent)[0]
         label_attrs = {
-            label.get("parent", "") + label['name']: label['attributes']
+            label.get('parent', '') + label['name']: label['attributes']
             for _, label in labels
         }
 

From a88aeaf188391f076d18ce8a66d939c1a25c176d Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Sun, 25 Sep 2022 19:36:49 +0300
Subject: [PATCH 24/34] Add test for COCO Keypoints

---
 tests/python/rest_api/test_projects.py | 14 ++++++++++++++
 1 file changed, 14 insertions(+)

diff --git a/tests/python/rest_api/test_projects.py b/tests/python/rest_api/test_projects.py
index ba4e177b96f8..27f30d16d320 100644
--- a/tests/python/rest_api/test_projects.py
+++ b/tests/python/rest_api/test_projects.py
@@ -349,6 +349,20 @@ def test_can_import_dataset_in_org(self, admin_user):
 
         self._test_import_project(admin_user, project_id, 'CVAT 1.1', import_data)
 
+    def test_can_export_and_import_dataset_with_skeletons_coco_keypoints(self):
+        project_id = 5
+        username = 'admin2'
+
+        response = self._test_export_project(username, project_id, 'COCO Keypoints 1.0')
+
+        tmp_file = io.BytesIO(response.data)
+        tmp_file.name = 'dataset.zip'
+        import_data = {
+            'dataset_file': tmp_file,
+        }
+
+        self._test_import_project(username, project_id, 'COCO Keypoints 1.0', import_data)
+
     def test_can_export_and_import_dataset_with_skeletons_cvat_for_images(self):
         project_id = 5
         username = 'admin2'

From 39ed8dfbd0088cc160f44edc7acfbe8005870ddf Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Sun, 25 Sep 2022 21:11:30 +0300
Subject: [PATCH 25/34] Fix Pylint

---
 tests/python/shared/fixtures/data.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/tests/python/shared/fixtures/data.py b/tests/python/shared/fixtures/data.py
index cf15a0d21a38..b40dc830afc6 100644
--- a/tests/python/shared/fixtures/data.py
+++ b/tests/python/shared/fixtures/data.py
@@ -237,9 +237,9 @@ def check(user_id, org_id):
 
 @pytest.fixture(scope='session')
 def find_job_staff_user(is_job_staff):
-    def find(jobs, users, is_staff, wo_jobs=[]):
+    def find(jobs, users, is_staff, wo_jobs=None):
         for job in jobs:
-            if job['id'] in wo_jobs:
+            if wo_jobs is not None and job['id'] in wo_jobs:
                 continue
             for user in users:
                 if is_staff == is_job_staff(user['id'], job['id']):
@@ -249,9 +249,9 @@ def find(jobs, users, is_staff, wo_jobs=[]):
 
 @pytest.fixture(scope='session')
 def find_task_staff_user(is_task_staff):
-    def find(tasks, users, is_staff, wo_tasks=[]):
+    def find(tasks, users, is_staff, wo_tasks=None):
         for task in tasks:
-            if task['id'] in wo_tasks:
+            if wo_tasks is not None and task['id'] in wo_tasks:
                 continue
             for user in users:
                 if is_staff == is_task_staff(user['id'], task['id']):

From 4139a1a32476b7ce279ee9125a25fe9238918e22 Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Sun, 25 Sep 2022 22:06:53 +0300
Subject: [PATCH 26/34] Fix sdk tests

---
 tests/python/sdk/test_jobs.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/tests/python/sdk/test_jobs.py b/tests/python/sdk/test_jobs.py
index 429236833442..4b009333bf2c 100644
--- a/tests/python/sdk/test_jobs.py
+++ b/tests/python/sdk/test_jobs.py
@@ -105,7 +105,8 @@ def test_can_download_dataset(self, fxt_new_task: Task, include_images: bool):
 
         task_id = fxt_new_task.id
         path = str(self.tmp_path / f"task_{task_id}-cvat.zip")
-        job = self.client.jobs.retrieve(task_id)
+        job_id = fxt_new_task.get_jobs()[0].id
+        job = self.client.jobs.retrieve(job_id)
         job.export_dataset(
             format_name="CVAT for images 1.1",
             filename=path,

From 395b5f5d8910cae746fbf5dec6384e05791da34a Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Mon, 26 Sep 2022 09:23:10 +0300
Subject: [PATCH 27/34] Small fix

---
 tests/python/rest_api/test_tasks.py | 11 ++++++++++-
 1 file changed, 10 insertions(+), 1 deletion(-)

diff --git a/tests/python/rest_api/test_tasks.py b/tests/python/rest_api/test_tasks.py
index 7421fe71717d..e7e04d3db852 100644
--- a/tests/python/rest_api/test_tasks.py
+++ b/tests/python/rest_api/test_tasks.py
@@ -211,7 +211,16 @@ def test_can_create_task_with_skeleton(self):
                     "type": "points"
                     }
                 ],
-                "svg": "<line x1=\"36.329429626464844\" y1=\"45.98662185668945\" x2=\"59.07190704345703\" y2=\"23.076923370361328\" stroke=\"black\" data-type=\"edge\" data-node-from=\"2\" stroke-width=\"0.5\" data-node-to=\"3\"></line><line x1=\"22.61705780029297\" y1=\"25.75250816345215\" x2=\"36.329429626464844\" y2=\"45.98662185668945\" 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=\"22.61705780029297\" cy=\"25.75250816345215\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-name=\"1\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"36.329429626464844\" cy=\"45.98662185668945\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-name=\"2\"></circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"59.07190704345703\" cy=\"23.076923370361328\" stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-name=\"3\"></circle>"
+                "svg": "<line x1=\"36.329429626464844\" y1=\"45.98662185668945\" x2=\"59.07190704345703\" y2=\"23.076923370361328\" " \
+                        "stroke=\"black\" data-type=\"edge\" data-node-from=\"2\" stroke-width=\"0.5\" data-node-to=\"3\"></line>" \
+                        "<line x1=\"22.61705780029297\" y1=\"25.75250816345215\" x2=\"36.329429626464844\" y2=\"45.98662185668945\" " \
+                        "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=\"22.61705780029297\" cy=\"25.75250816345215\" " \
+                        "stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"1\" data-node-id=\"1\" data-label-name=\"1\">" \
+                        "</circle><circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"36.329429626464844\" cy=\"45.98662185668945\" " \
+                        "stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"2\" data-node-id=\"2\" data-label-name=\"2\"></circle>" \
+                        "<circle r=\"1.5\" stroke=\"black\" fill=\"#b3b3b3\" cx=\"59.07190704345703\" cy=\"23.076923370361328\" " \
+                        "stroke-width=\"0.1\" data-type=\"element node\" data-element-id=\"3\" data-node-id=\"3\" data-label-name=\"3\"></circle>"
                 }
             ]
         }

From f20c915e3a2424078e3f75b935b94d9f70ee328e Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Mon, 26 Sep 2022 11:11:43 +0300
Subject: [PATCH 28/34] Update documentation

---
 .../manual/advanced/formats/format-cvat.md    |   4 +-
 .../en/docs/manual/advanced/xml_format.md     | 146 +++++++++++++++++-
 2 files changed, 146 insertions(+), 4 deletions(-)

diff --git a/site/content/en/docs/manual/advanced/formats/format-cvat.md b/site/content/en/docs/manual/advanced/formats/format-cvat.md
index 0d9ab7dab444..f8c282865125 100644
--- a/site/content/en/docs/manual/advanced/formats/format-cvat.md
+++ b/site/content/en/docs/manual/advanced/formats/format-cvat.md
@@ -9,10 +9,10 @@ This is the native CVAT annotation format. It supports all CVAT annotations
 features, so it can be used to make data backups.
 
 - supported annotations CVAT for Images: Rectangles, Polygons, Polylines,
-  Points, Cuboids, Tags, Tracks
+  Points, Cuboids, Skeletons, Tags, Tracks
 
 - supported annotations CVAT for Videos: Rectangles, Polygons, Polylines,
-  Points, Cuboids, Tracks
+  Points, Cuboids, Skeletons, Tracks
 
 - attributes are supported
 
diff --git a/site/content/en/docs/manual/advanced/xml_format.md b/site/content/en/docs/manual/advanced/xml_format.md
index 36abb4095a71..1a95b28749f8 100644
--- a/site/content/en/docs/manual/advanced/xml_format.md
+++ b/site/content/en/docs/manual/advanced/xml_format.md
@@ -41,6 +41,7 @@ In annotation mode each image tag has `width` and `height` attributes for the sa
           <attributes>
             <attribute>
               <name>String: attribute name</name>
+              <type>String: any, bbox, cuboid, cuboid_3d, ellipse, polygon, polyline, points, skeleton, tag</type>
               <mutable>Boolean: mutable (allow different values between frames)</mutable>
               <input_type>String: select, checkbox, radio, number, text</input_type>
               <default_value>String: default value</default_value>
@@ -49,6 +50,8 @@ ex. value 2
 ex. value 3</values>
             </attribute>
           </attributes>
+          <svg>String: label representation in svg, only for skeletons</svg>
+          <parent>String: label parent name, only for skeletons</parent>
         </label>
       </labels>
       <segments>
@@ -81,7 +84,7 @@ On each image it is possible to have many different objects. Each object can hav
 If an annotation task is created with `z_order` flag then each object will have `z_order` attribute which is used
 to draw objects properly when they are intersected (if `z_order` is bigger the object is closer to camera).
 In previous versions of the format only `box` shape was available.
-In later releases `polygon`, `polyline`, `points` and `tags` were added. Please see below for more details:
+In later releases `polygon`, `polyline`, `points`, `skeletons` and `tags` were added. Please see below for more details:
 
 ```xml
 <?xml version="1.0" encoding="utf-8"?>
@@ -117,6 +120,14 @@ In later releases `polygon`, `polyline`, `points` and `tags` were added. Please
       <attribute name="String: an attribute name">String: the attribute value</attribute>
       ...
     </tag>
+    <skeleton label="String: the associated label" occluded="Number: 0 - False, 1 - True" z_order="Number: z-order of the object">
+      <points label="String: the associated label" occluded="Number: 0 - False, 1 - True" outside="Number: 0 - False, 1 - True" points="x0,y0;x1,y1" z_order="0">
+        <attribute name="String: an attribute name">String: the attribute value</attribute>
+      </points>
+      ...
+      <attribute name="String: an attribute name">String: the attribute value</attribute>
+      ...
+    </skeleton>
     ...
   </image>
   ...
@@ -161,6 +172,34 @@ Example:
           <attributes>
           </attributes>
         </label>
+        <label>
+          <name>s1</name>
+          <type>skeleton</type>
+          <attributes>
+          </attributes>
+          <svg>&lt;line x1="36.87290954589844" y1="47.732025146484375" x2="86.87290954589844" y2="10.775501251220703" stroke="black" data-type="edge" data-node-from="2" stroke-width="0.5" data-node-to="3"&gt;&lt;/line&gt;&lt;line x1="25.167224884033203" y1="22.64841079711914" x2="36.87290954589844" y2="47.732025146484375" stroke="black" data-type="edge" data-node-from="1" stroke-width="0.5" data-node-to="2"&gt;&lt;/line&gt;&lt;circle r="1.5" stroke="black" fill="#b3b3b3" cx="25.167224884033203" cy="22.64841079711914" stroke-width="0.1" data-type="element node" data-element-id="1" data-node-id="1" data-label-name="1"&gt;&lt;/circle&gt;&lt;circle r="1.5" stroke="black" fill="#b3b3b3" cx="36.87290954589844" cy="47.732025146484375" stroke-width="0.1" data-type="element node" data-element-id="2" data-node-id="2" data-label-name="2"&gt;&lt;/circle&gt;&lt;circle r="1.5" stroke="black" fill="#b3b3b3" cx="86.87290954589844" cy="10.775501251220703" stroke-width="0.1" data-type="element node" data-element-id="3" data-node-id="3" data-label-name="3"&gt;&lt;/circle&gt;</svg>
+        </label>
+        <label>
+          <name>1</name>
+          <type>points</type>
+          <attributes>
+          </attributes>
+          <parent>s1</parent>
+        </label>
+        <label>
+          <name>2</name>
+          <type>points</type>
+          <attributes>
+          </attributes>
+          <parent>s1</parent>
+        </label>
+        <label>
+          <name>3</name>
+          <type>points</type>
+          <attributes>
+          </attributes>
+          <parent>s1</parent>
+        </label>
       </labels>
       <segments>
         <segment>
@@ -190,6 +229,14 @@ Example:
     </points>
     <tag label="good_frame" source="manual">
     </tag>
+    <skeleton label="s1" occluded="0" source="manual" points="" rotation="0.00" z_order="0">
+      <points label="1" occluded="0" source="manual" outside="0" points="54.47,94.81" z_order="0">
+      </points>
+      <points label="2" occluded="0" source="manual" outside="0" points="68.02,162.34" z_order="0">
+      </points>
+      <points label="3" occluded="0" source="manual" outside="0" points="125.87,62.85" z_order="0">
+      </points>
+    </skeleton>
   </image>
 </annotations>
 ```
@@ -206,7 +253,7 @@ cloned for each location (a known redundancy).
 <?xml version="1.0" encoding="utf-8"?>
 <annotations>
   ...
-  <track id="Number: id of the track (doesn't have any special meeting" label="String: the associated label" source="manual or auto">
+  <track id="Number: id of the track (doesn't have any special meeting)" label="String: the associated label" source="manual or auto">
     <box frame="Number: frame" xtl="Number: float" ytl="Number: float" xbr="Number: float" ybr="Number: float" outside="Number: 0 - False, 1 - True" occluded="Number: 0 - False, 1 - True" keyframe="Number: 0 - False, 1 - True">
       <attribute name="String: an attribute name">String: the attribute value</attribute>
       ...
@@ -222,6 +269,17 @@ cloned for each location (a known redundancy).
     </points>
     ...
   </track>
+  <track id="Number: id of the track (doesn't have any special meeting)" label="String: the associated label" source="manual or auto">
+    <skeleton frame="Number: frame" outside="Number: 0 - False, 1 - True" occluded="Number: 0 - False, 1 - True" keyframe="Number: 0 - False, 1 - True">
+    </skeleton>
+    ...
+    <track id="Number: id of the track (doesn't have any special meeting)" label="String: the associated label" source="manual or auto">
+      <points frame="Number: frame" outside="Number: 0 - False, 1 - True" occluded="Number: 0 - False, 1 - True" keyframe="Number: 0 - False, 1 - True" points="x0,y0;x1,y1">
+      </points>
+      ...
+    </track>
+    ...
+  </track>
   ...
 </annotations>
 ```
@@ -254,6 +312,34 @@ Example:
           <attributes>
           </attributes>
         </label>
+        <label>
+          <name>s1</name>
+          <type>skeleton</type>
+          <attributes>
+          </attributes>
+          <svg>&lt;line x1="36.87290954589844" y1="47.732025146484375" x2="86.87290954589844" y2="10.775501251220703" stroke="black" data-type="edge" data-node-from="2" stroke-width="0.5" data-node-to="3"&gt;&lt;/line&gt;&lt;line x1="25.167224884033203" y1="22.64841079711914" x2="36.87290954589844" y2="47.732025146484375" stroke="black" data-type="edge" data-node-from="1" stroke-width="0.5" data-node-to="2"&gt;&lt;/line&gt;&lt;circle r="1.5" stroke="black" fill="#b3b3b3" cx="25.167224884033203" cy="22.64841079711914" stroke-width="0.1" data-type="element node" data-element-id="1" data-node-id="1" data-label-name="1"&gt;&lt;/circle&gt;&lt;circle r="1.5" stroke="black" fill="#b3b3b3" cx="36.87290954589844" cy="47.732025146484375" stroke-width="0.1" data-type="element node" data-element-id="2" data-node-id="2" data-label-name="2"&gt;&lt;/circle&gt;&lt;circle r="1.5" stroke="black" fill="#b3b3b3" cx="86.87290954589844" cy="10.775501251220703" stroke-width="0.1" data-type="element node" data-element-id="3" data-node-id="3" data-label-name="3"&gt;&lt;/circle&gt;</svg>
+        </label>
+        <label>
+          <name>1</name>
+          <type>points</type>
+          <attributes>
+          </attributes>
+          <parent>s1</parent>
+        </label>
+        <label>
+          <name>2</name>
+          <type>points</type>
+          <attributes>
+          </attributes>
+          <parent>s1</parent>
+        </label>
+        <label>
+          <name>3</name>
+          <type>points</type>
+          <attributes>
+          </attributes>
+          <parent>s1</parent>
+        </label>
       </labels>
       <segments>
         <segment>
@@ -288,5 +374,61 @@ Example:
     <polygon frame="14" points="313.74,233.16;331.11,220.00;359.53,243.16;333.21,283.16;287.95,274.74" outside="1" occluded="0" keyframe="1">
     </polygon>
   </track>
+  <track id="1" label="s1" source="manual">
+    <skeleton frame="0" outside="0" occluded="0" keyframe="1" points="" z_order="0">
+    </skeleton>
+    <skeleton frame="1" outside="1" occluded="0" keyframe="1" points="" z_order="0">
+    </skeleton>
+    <skeleton frame="6" outside="0" occluded="0" keyframe="1" points="" z_order="0">
+    </skeleton>
+    <skeleton frame="7" outside="1" occluded="0" keyframe="1" points="" z_order="0">
+    </skeleton>
+    <skeleton frame="13" outside="0" occluded="0" keyframe="0" points="" z_order="0">
+    </skeleton>
+    <skeleton frame="14" outside="1" occluded="0" keyframe="1" points="" z_order="0">
+    </skeleton>
+    <track id="0" label="1" source="manual" task_id="20" subset="default_1">
+      <points frame="0" outside="0" occluded="0" keyframe="1" points="112.07,258.59" z_order="0">
+      </points>
+      <points frame="1" outside="1" occluded="0" keyframe="1" points="112.07,258.59" z_order="0">
+      </points>
+      <points frame="6" outside="0" occluded="0" keyframe="0" points="120.07,270.59" z_order="0">
+      </points>
+      <points frame="7" outside="1" occluded="0" keyframe="1" points="120.07,270.59" z_order="0">
+      </points>
+      <points frame="13" outside="0" occluded="0" keyframe="0" points="112.07,258.59" z_order="0">
+      </points>
+      <points frame="14" outside="1" occluded="0" keyframe="1" points="112.07,258.59" z_order="0">
+      </points>
+    </track>
+    <track id="1" label="2" source="manual" task_id="20" subset="default_1">
+      <points frame="0" outside="0" occluded="0" keyframe="1" points="127.87,333.23" z_order="0">
+      </points>
+      <points frame="1" outside="1" occluded="0" keyframe="1" points="127.87,333.23" z_order="0">
+      </points>
+      <points frame="6" outside="0" occluded="0" keyframe="0" points="140.87,350.23" z_order="0">
+      </points>
+      <points frame="7" outside="1" occluded="0" keyframe="1" points="140.87,350.23" z_order="0">
+      </points>
+      <points frame="13" outside="0" occluded="0" keyframe="0" points="127.87,333.23" z_order="0">
+      </points>
+      <points frame="14" outside="1" occluded="0" keyframe="1" points="127.87,333.23" z_order="0">
+      </points>
+    </track>
+    <track id="2" label="3" source="manual" task_id="20" subset="default_1">
+      <points frame="0" outside="0" occluded="0" keyframe="1" points="195.37,223.27" z_order="0">
+      </points>
+      <points frame="1" outside="1" occluded="0" keyframe="1" points="195.37,223.27" z_order="0">
+      </points>
+      <points frame="6" outside="0" occluded="0" keyframe="0" points="210.37,260.27" z_order="0">
+      </points>
+      <points frame="7" outside="1" occluded="0" keyframe="1" points="210.37,260.27" z_order="0">
+      </points>
+      <points frame="13" outside="0" occluded="0" keyframe="0" points="195.37,223.27" z_order="0">
+      </points>
+      <points frame="14" outside="1" occluded="0" keyframe="1" points="195.37,223.27" z_order="0">
+      </points>
+    </track>
+  </track>
 </annotations>
 ```

From b33527fdf4db3a3fca64143bcca1270934de2151 Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Mon, 26 Sep 2022 17:15:52 +0300
Subject: [PATCH 29/34] Update Changelog

---
 CHANGELOG.md                          | 1 +
 cvat/apps/dataset_manager/bindings.py | 1 +
 2 files changed, 2 insertions(+)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index ccb7951f8cce..e715b7c70b81 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -25,6 +25,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 non-ascii paths while adding files from "Connected file share" (issue #4428)
 - Removed unnecessary volumes defined in docker-compose.serverless.yml
 (<https://github.com/openvinotoolkit/cvat/pull/4659>)
+- Project import with skeletons (<https://github.com/opencv/cvat/pull/4867>)
 
 ### Security
 - TDB
diff --git a/cvat/apps/dataset_manager/bindings.py b/cvat/apps/dataset_manager/bindings.py
index 5eed00eb6dd3..1f1177b8c840 100644
--- a/cvat/apps/dataset_manager/bindings.py
+++ b/cvat/apps/dataset_manager/bindings.py
@@ -1641,6 +1641,7 @@ def import_dm_annotations(dm_dataset: dm.Dataset, instance_data: Union[TaskData,
                             source=source,
                             attributes=attributes,
                         )
+
                         tracks[track_id]['shapes'].append(track)
 
                         if ann.type == dm.AnnotationType.skeleton:

From a178140726a323684c3a7271a0ace4e408754038 Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Mon, 26 Sep 2022 18:08:01 +0300
Subject: [PATCH 30/34] Some fixes

---
 cvat/apps/engine/serializers.py | 11 ++++++-----
 1 file changed, 6 insertions(+), 5 deletions(-)

diff --git a/cvat/apps/engine/serializers.py b/cvat/apps/engine/serializers.py
index 103f9a25e28a..f81991e361d2 100644
--- a/cvat/apps/engine/serializers.py
+++ b/cvat/apps/engine/serializers.py
@@ -816,12 +816,13 @@ def update_labels(labels, parent_label=None):
                 sublabels = label.pop('sublabels', [])
                 svg = label.pop('svg', '')
                 db_label = LabelSerializer.update_instance(label, instance, parent_label)
-                update_labels(sublabels, parent_label=db_label)
+                if not label.get('deleted'):
+                    update_labels(sublabels, parent_label=db_label)
 
-                if label.get('id') is None and db_label.type == str(models.LabelType.SKELETON):
-                    for db_sublabel in list(db_label.sublabels.all()):
-                        svg = svg.replace(f'data-label-name="{db_sublabel.name}"', f'data-label-id="{db_sublabel.id}"')
-                    models.Skeleton.objects.create(root=db_label, svg=svg)
+                    if label.get('id') is None and db_label.type == str(models.LabelType.SKELETON):
+                        for db_sublabel in list(db_label.sublabels.all()):
+                            svg = svg.replace(f'data-label-name="{db_sublabel.name}"', f'data-label-id="{db_sublabel.id}"')
+                        models.Skeleton.objects.create(root=db_label, svg=svg)
 
         update_labels(labels)
 

From caa3ea4ae9aa58486a4e5949af773a774c34b3e4 Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Tue, 27 Sep 2022 08:37:24 +0300
Subject: [PATCH 31/34] Small fix

---
 tests/python/rest_api/test_projects.py | 23 ++++++++++-------------
 1 file changed, 10 insertions(+), 13 deletions(-)

diff --git a/tests/python/rest_api/test_projects.py b/tests/python/rest_api/test_projects.py
index 27f30d16d320..cfe77fcfa6cc 100644
--- a/tests/python/rest_api/test_projects.py
+++ b/tests/python/rest_api/test_projects.py
@@ -349,11 +349,10 @@ def test_can_import_dataset_in_org(self, admin_user):
 
         self._test_import_project(admin_user, project_id, 'CVAT 1.1', import_data)
 
-    def test_can_export_and_import_dataset_with_skeletons_coco_keypoints(self):
+    def test_can_export_and_import_dataset_with_skeletons_coco_keypoints(self, admin_user):
         project_id = 5
-        username = 'admin2'
 
-        response = self._test_export_project(username, project_id, 'COCO Keypoints 1.0')
+        response = self._test_export_project(admin_user, project_id, 'COCO Keypoints 1.0')
 
         tmp_file = io.BytesIO(response.data)
         tmp_file.name = 'dataset.zip'
@@ -361,13 +360,12 @@ def test_can_export_and_import_dataset_with_skeletons_coco_keypoints(self):
             'dataset_file': tmp_file,
         }
 
-        self._test_import_project(username, project_id, 'COCO Keypoints 1.0', import_data)
+        self._test_import_project(admin_user, project_id, 'COCO Keypoints 1.0', import_data)
 
-    def test_can_export_and_import_dataset_with_skeletons_cvat_for_images(self):
+    def test_can_export_and_import_dataset_with_skeletons_cvat_for_images(self, admin_user):
         project_id = 5
-        username = 'admin2'
 
-        response = self._test_export_project(username, project_id, 'CVAT for images 1.1')
+        response = self._test_export_project(admin_user, project_id, 'CVAT for images 1.1')
 
         tmp_file = io.BytesIO(response.data)
         tmp_file.name = 'dataset.zip'
@@ -375,13 +373,12 @@ def test_can_export_and_import_dataset_with_skeletons_cvat_for_images(self):
             'dataset_file': tmp_file,
         }
 
-        self._test_import_project(username, project_id, 'CVAT 1.1', import_data)
+        self._test_import_project(admin_user, project_id, 'CVAT 1.1', import_data)
 
-    def test_can_export_and_import_dataset_with_skeletons_cvat_for_video(self):
+    def test_can_export_and_import_dataset_with_skeletons_cvat_for_video(self, admin_user):
         project_id = 5
-        username = 'admin2'
 
-        response = self._test_export_project(username, project_id, 'CVAT for video 1.1')
+        response = self._test_export_project(admin_user, project_id, 'CVAT for video 1.1')
 
         tmp_file = io.BytesIO(response.data)
         tmp_file.name = 'dataset.zip'
@@ -389,7 +386,7 @@ def test_can_export_and_import_dataset_with_skeletons_cvat_for_video(self):
             'dataset_file': tmp_file,
         }
 
-        self._test_import_project(username, project_id, 'CVAT 1.1', import_data)
+        self._test_import_project(admin_user, project_id, 'CVAT 1.1', import_data)
 
     def _test_can_get_project_backup(self, username, pid, **kwargs):
         for _ in range(30):
@@ -422,7 +419,7 @@ def test_admin_can_get_project_backup_and_create_project_by_backup(self, admin_u
 @pytest.mark.usefixtures('changedb')
 class TestPatchProjectLabel:
     def test_admin_can_delete_label(self, projects):
-        project = deepcopy(list(projects)[1])
+        project = deepcopy(list(projects)[0])
         labels = project['labels'][0]
         labels.update({'deleted': True})
         response = patch_method('admin1', f'/projects/{project["id"]}', {'labels': [labels]})

From d7db4fc76bab416dac1f6a8c7c48fdb709b21793 Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Tue, 27 Sep 2022 10:04:41 +0300
Subject: [PATCH 32/34] Fix test

---
 tests/python/rest_api/test_projects.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/python/rest_api/test_projects.py b/tests/python/rest_api/test_projects.py
index cfe77fcfa6cc..93435cda73eb 100644
--- a/tests/python/rest_api/test_projects.py
+++ b/tests/python/rest_api/test_projects.py
@@ -419,7 +419,7 @@ def test_admin_can_get_project_backup_and_create_project_by_backup(self, admin_u
 @pytest.mark.usefixtures('changedb')
 class TestPatchProjectLabel:
     def test_admin_can_delete_label(self, projects):
-        project = deepcopy(list(projects)[0])
+        project = deepcopy(list(projects)[1])
         labels = project['labels'][0]
         labels.update({'deleted': True})
         response = patch_method('admin1', f'/projects/{project["id"]}', {'labels': [labels]})

From 8400912ef0d6f21951775d9383cfdc23ac51f7de Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Tue, 27 Sep 2022 10:09:28 +0300
Subject: [PATCH 33/34] Add test to remove skeleton label

---
 tests/python/rest_api/test_projects.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/tests/python/rest_api/test_projects.py b/tests/python/rest_api/test_projects.py
index 93435cda73eb..dfce180a8cd3 100644
--- a/tests/python/rest_api/test_projects.py
+++ b/tests/python/rest_api/test_projects.py
@@ -426,6 +426,14 @@ def test_admin_can_delete_label(self, projects):
         assert response.status_code == HTTPStatus.OK
         assert len(response.json()['labels']) == len(project['labels']) - 1
 
+    def test_admin_can_delete_skeleton_label(self, projects):
+        project = deepcopy(list(projects)[0])
+        labels = project['labels'][0]
+        labels.update({'deleted': True})
+        response = patch_method('admin1', f'/projects/{project["id"]}', {'labels': [labels]})
+        assert response.status_code == HTTPStatus.OK
+        assert len(response.json()['labels']) == len(project['labels']) - 4
+
     def test_admin_can_rename_label(self, projects):
         project = deepcopy(list(projects)[0])
         labels = project['labels'][0]

From 900af1a2587a9916c34046ec3273dc0b71d2ceff Mon Sep 17 00:00:00 2001
From: yasakova-anastasia <yasakova_anastasiya@mail.ru>
Date: Wed, 28 Sep 2022 11:25:56 +0300
Subject: [PATCH 34/34] Remove useless changes

---
 site/content/en/docs/manual/advanced/xml_format.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/site/content/en/docs/manual/advanced/xml_format.md b/site/content/en/docs/manual/advanced/xml_format.md
index 173fe3a3df2e..97a7ddd04660 100644
--- a/site/content/en/docs/manual/advanced/xml_format.md
+++ b/site/content/en/docs/manual/advanced/xml_format.md
@@ -42,7 +42,6 @@ In annotation mode each image tag has `width` and `height` attributes for the sa
           <attributes>
             <attribute>
               <name>String: attribute name</name>
-              <type>String: any, bbox, cuboid, cuboid_3d, ellipse, polygon, polyline, points, skeleton, tag</type>
               <mutable>Boolean: mutable (allow different values between frames)</mutable>
               <input_type>String: select, checkbox, radio, number, text</input_type>
               <default_value>String: default value</default_value>