[Datumaro] Remote project export fixes (#1193)

* Export project with trask name

* Do not expose server paths

* Fix tfrecord mask reading in tf>1.14

* Setuptools compatibility

cvat/apps/dataset_manager/export_templates/plugins/cvat_rest_api_task_images.py

@@ -103,10 +103,12 @@ class cvat_rest_api_task_images(datumaro.SourceExtractor):
         items = []
         for entry in image_list:
             item_id = entry['id']
+            item_filename = entry.get('name', str(item_id))
             size = None
             if entry.get('height') and entry.get('width'):
                 size = (entry['height'], entry['width'])
-            image = Image(data=self._make_image_loader(item_id), size=size)
+            image = Image(data=self._make_image_loader(item_id),
+                path=item_filename, size=size)
             item = datumaro.DatasetItem(id=item_id, image=image)
             items.append((item.id, item))
 

cvat/apps/dataset_manager/task.py

@@ -94,7 +94,8 @@ class TaskProject:
             CvatImagesDirExtractor)
 
     def _import_from_task(self, user):
-        self._project = Project.generate(self._project_dir)
+        self._project = Project.generate(self._project_dir,
+            config={'project_name': self._db_task.name})
 
         self._project.add_source('task_%s_images' % self._db_task.id, {
             'url': self._db_task.get_data_dirname(),
@@ -185,6 +186,7 @@ class TaskProject:
             for db_image in self._db_task.image_set.all():
                 frame_info = {
                     'id': db_image.frame,
+                    'name': osp.basename(db_image.path),
                     'width': db_image.width,
                     'height': db_image.height,
                 }

datumaro/datumaro/plugins/tf_detection_api_format/extractor.py

@@ -148,7 +148,8 @@ class TfDetectionApiExtractor(SourceExtractor):
                 parsed_record['image/object/class/text'],
                 default_value=b'').numpy()
             masks = tf.sparse.to_dense(
-                parsed_record['image/object/mask']).numpy()
+                parsed_record['image/object/mask'],
+                default_value=b'').numpy()
 
             for label, label_id in zip(labels, label_ids):
                 label = label.decode('utf-8')