[to #42322933]ocr-recognition re-upload

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9826159

data/test/images/ocr_recognition_document.png

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:29f2ad929c852f6456367054d13e113078cf06b763fe54d73fd324f789331aa3
+size 61611

modelscope/pipelines/builder.py

@@ -124,8 +124,9 @@ DEFAULT_MODEL_FOR_PIPELINE = {
     Tasks.image_classification:
     (Pipelines.daily_image_classification,
      'damo/cv_vit-base_image-classification_Dailylife-labels'),
-    Tasks.ocr_recognition: (Pipelines.ocr_recognition,
-                            'damo/cv_convnextTiny_ocr-recognition_damo'),
+    Tasks.ocr_recognition:
+    (Pipelines.ocr_recognition,
+     'damo/cv_convnextTiny_ocr-recognition-general_damo'),
     Tasks.skin_retouching: (Pipelines.skin_retouching,
                             'damo/cv_unet_skin-retouching'),
     Tasks.crowd_counting: (Pipelines.crowd_counting,

tests/pipelines/test_ocr_recognition.py

@@ -19,19 +19,19 @@ from modelscope.utils.test_utils import test_level
 class OCRRecognitionTest(unittest.TestCase):
 
     def setUp(self) -> None:
-        self.model_id = 'damo/cv_convnextTiny_ocr-recognition_damo'
+        self.model_id = 'damo/cv_convnextTiny_ocr-recognition-general_damo'
         self.test_image = 'data/test/images/ocr_recognition.jpg'
 
     def pipeline_inference(self, pipeline: Pipeline, input_location: str):
         result = pipeline(input_location)
         print('ocr recognition results: ', result)
 
-    @unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
+    @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
     def test_run_with_model_from_modelhub(self):
         ocr_recognition = pipeline(Tasks.ocr_recognition, model=self.model_id)
         self.pipeline_inference(ocr_recognition, self.test_image)
 
-    @unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
+    @unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
     def test_run_with_model_from_modelhub_PILinput(self):
         ocr_recognition = pipeline(Tasks.ocr_recognition, model=self.model_id)
         imagePIL = PIL.Image.open(self.test_image)