Updated cv2 dependency

Author: VaghinakDev

requirements.txt

@@ -1,7 +1,7 @@
 pydantic>=1.10,!=2.0.*
 aiohttp~=3.8
 boto3~=1.26
-opencv-python~=4.7
+opencv-python-headless~=4.7
 packaging~=23.1
 plotly~=5.14
 email-validator~=2.0

setup.py

@@ -36,7 +36,7 @@ def get_version():
     description="Python SDK to SuperAnnotate platform",
     license="MIT",
     author="SuperAnnotate AI",
-    author_email="suppoort@superannotate.com",
+    author_email="support@superannotate.com",
     url="https://github.com/superannotateai/superannotate-python-sdk",
     long_description=open("README.rst").read(),
     long_description_content_type="text/x-rst",

src/superannotate/lib/infrastructure/services/annotation.py

@@ -253,13 +253,13 @@ async def upload_small_annotations(
         folder: entities.FolderEntity,
         items_name_data_map: Dict[str, dict],
     ) -> UploadAnnotationsResponse:
-        url = urljoin(
-            self.assets_provider_url,
-            (
-                f"{self.URL_UPLOAD_ANNOTATIONS}?{'&'.join(f'image_names[]={item_name}' for item_name in items_name_data_map.keys())}"
-            ),
-        )
-
+        params = [
+            ("team_id", project.team_id),
+            ("project_id", project.id),
+            ("folder_id", folder.id),
+            *[("image_names[]", item_name) for item_name in items_name_data_map.keys()],
+        ]
+        url = urljoin(self.assets_provider_url, f"{self.URL_UPLOAD_ANNOTATIONS}")
         headers = copy.copy(self.client.default_headers)
         del headers["Content-Type"]
         async with AIOHttpSession(
@@ -282,12 +282,6 @@ async def upload_small_annotations(
                     filename=key,
                     content_type="application/json",
                 )
-
-            params = {
-                "team_id": project.team_id,
-                "project_id": project.id,
-                "folder_id": folder.id,
-            }
             _response = await session.request(
                 "post", url, params=params, data=form_data
             )

tests/integration/test_video.py

@@ -48,7 +48,7 @@ def test_video_upload_from_folder(self):
             self.PROJECT_NAME, self.folder_path, target_fps=1
         )
 
-        sa.create_folder(self.PROJECT_NAME, self.TEST_FOLDER_NAME)
+        sa.create_folder(self.PROJECT_NAME, self.TEST_FOLDER_NeAME)
         sa.upload_videos_from_folder_to_project(
             f"{self.PROJECT_NAME}/{self.TEST_FOLDER_NAME}",
             self.folder_path,

tests/unit/test_classes_serialization.py

@@ -3,8 +3,8 @@
 from typing import List
 from unittest import TestCase
 
-from pydantic import parse_obj_as
-from pydantic import ValidationError
+from pydantic.v1 import parse_obj_as
+from pydantic.v1 import ValidationError
 from superannotate.lib.app.serializers import BaseSerializer
 from superannotate.lib.core.entities.classes import AnnotationClassEntity
 from superannotate.lib.core.entities.classes import AttributeGroup