mirror of
https://github.com/modelscope/modelscope.git
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48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
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# Copyright (c) Alibaba, Inc. and its affiliates.
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import os.path as osp
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import shutil
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import sys
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import tempfile
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import unittest
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from typing import Any, Dict, List, Tuple, Union
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import cv2
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import numpy as np
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import PIL
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from modelscope.pipelines import pipeline
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from modelscope.pipelines.base import Pipeline
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from modelscope.utils.constant import Tasks
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from modelscope.utils.test_utils import test_level
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class OCRRecognitionTest(unittest.TestCase):
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def setUp(self) -> None:
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self.model_id = 'damo/cv_convnextTiny_ocr-recognition_damo'
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self.test_image = 'data/test/images/ocr_recognition.jpg'
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def pipeline_inference(self, pipeline: Pipeline, input_location: str):
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result = pipeline(input_location)
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print('ocr recognition results: ', result)
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_with_model_from_modelhub(self):
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ocr_recognition = pipeline(Tasks.ocr_recognition, model=self.model_id)
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self.pipeline_inference(ocr_recognition, self.test_image)
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_run_with_model_from_modelhub_PILinput(self):
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ocr_recognition = pipeline(Tasks.ocr_recognition, model=self.model_id)
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imagePIL = PIL.Image.open(self.test_image)
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self.pipeline_inference(ocr_recognition, imagePIL)
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_run_modelhub_default_model(self):
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ocr_recognition = pipeline(Tasks.ocr_recognition)
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self.pipeline_inference(ocr_recognition, self.test_image)
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if __name__ == '__main__':
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unittest.main()
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