[to #42322933] remove revision usage for face detection

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10507910

    * [to #42322933] remove revision usage for face detection

modelscope/pipelines/cv/face_recognition_pipeline.py

@@ -49,7 +49,7 @@ class FaceRecognitionPipeline(Pipeline):
         # face detect pipeline
         det_model_id = 'damo/cv_resnet_facedetection_scrfd10gkps'
         self.face_detection = pipeline(
-            Tasks.face_detection, model=det_model_id, model_revision='v2')
+            Tasks.face_detection, model=det_model_id)
 
     def _choose_face(self,
                      det_result,

tests/pipelines/test_face_detection.py

@@ -28,8 +28,7 @@ class FaceDetectionTest(unittest.TestCase, DemoCompatibilityCheck):
         input_location = ['data/test/images/face_detection2.jpeg']
 
         dataset = MsDataset.load(input_location, target='image')
-        face_detection = pipeline(
-            Tasks.face_detection, model=self.model_id, model_revision='v2')
+        face_detection = pipeline(Tasks.face_detection, model=self.model_id)
         # note that for dataset output, the inference-output is a Generator that can be iterated.
         result = face_detection(dataset)
         result = next(result)
@@ -37,8 +36,7 @@ class FaceDetectionTest(unittest.TestCase, DemoCompatibilityCheck):
 
     @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
     def test_run_modelhub(self):
-        face_detection = pipeline(
-            Tasks.face_detection, model=self.model_id, model_revision='v2')
+        face_detection = pipeline(Tasks.face_detection, model=self.model_id)
         img_path = 'data/test/images/face_detection2.jpeg'
 
         result = face_detection(img_path)

tests/trainers/test_face_detection_scrfd_trainer.py

@@ -28,7 +28,7 @@ def _setup():
     val_root = val_dir + '/' + os.listdir(val_dir)[0] + '/'
     max_epochs = 1  # run epochs in unit test
 
-    cache_path = snapshot_download(model_id, revision='v2')
+    cache_path = snapshot_download(model_id)
 
     tmp_dir = tempfile.TemporaryDirectory().name
     if not os.path.exists(tmp_dir):