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37 lines
1.3 KiB
Python
37 lines
1.3 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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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 LicensePlateDectionTest(unittest.TestCase):
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def setUp(self) -> None:
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self.model_id = 'damo/cv_resnet18_license-plate-detection_damo'
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self.test_image = 'data/test/images/license_plate_detection.jpg'
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self.task = Tasks.license_plate_detection
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def pipeline_inference(self, pipe: Pipeline, input_location: str):
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result = pipe(input_location)
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print('license plate recognition results: ')
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print(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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license_plate_detection = pipeline(
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Tasks.license_plate_detection, model=self.model_id)
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self.pipeline_inference(license_plate_detection, self.test_image)
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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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license_plate_detection = pipeline(Tasks.license_plate_detection)
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self.pipeline_inference(license_plate_detection, self.test_image)
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if __name__ == '__main__':
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unittest.main()
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