[Datumaro] Fix TFrecord converter constructor (cvat-ai#993)

Author: zhiltsov-max

cvat/apps/engine/views.py

@@ -593,7 +593,6 @@ def frame(self, request, pk, frame):
     @action(detail=True, methods=['GET'], serializer_class=None,
         url_path='dataset')
     def dataset_export(self, request, pk):
-
         db_task = self.get_object()
 
         action = request.query_params.get("action", "")
@@ -611,7 +610,7 @@ def dataset_export(self, request, pk):
             raise serializers.ValidationError(
                 "Unexpected parameter 'format' specified for the request")
 
-        rq_id = "task_dataset_export.{}.{}".format(pk, dst_format)
+        rq_id = "/api/v1/tasks/{}/dataset/{}".format(pk, dst_format)
         queue = django_rq.get_queue("default")
 
         rq_job = queue.fetch_job(rq_id)

datumaro/datumaro/components/converters/tfrecord.py

@@ -98,8 +98,27 @@ def float_list_feature(value):
     return tf_example
 
 class DetectionApiConverter:
-    def __init__(self, save_images=True):
-        self.save_images = save_images
+    def __init__(self, save_images=False, cmdline_args=None):
+        super().__init__()
+
+        self._save_images = save_images
+
+        if cmdline_args is not None:
+            options = self._parse_cmdline(cmdline_args)
+            for k, v in options.items():
+                if hasattr(self, '_' + str(k)):
+                    setattr(self, '_' + str(k), v)
+
+    @classmethod
+    def build_cmdline_parser(cls, parser=None):
+        import argparse
+        if not parser:
+            parser = argparse.ArgumentParser()
+
+        parser.add_argument('--save-images', action='store_true',
+            help="Save images (default: %(default)s)")
+
+        return parser
 
     def __call__(self, extractor, save_dir):
         tf = _import_tf()
@@ -141,6 +160,6 @@ def __call__(self, extractor, save_dir):
                         item,
                         get_label=get_label,
                         get_label_id=map_label_id,
-                        save_images=self.save_images,
+                        save_images=self._save_images,
                     )
                     writer.write(tf_example.SerializeToString())

datumaro/tests/test_tfrecord_format.py

@@ -112,7 +112,8 @@ def categories(self):
 
         with TestDir() as test_dir:
             self._test_can_save_and_load(
-                TestExtractor(), DetectionApiConverter(), test_dir)
+                TestExtractor(), DetectionApiConverter(save_images=True),
+                test_dir)
 
     def test_labelmap_parsing(self):
         text = """