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add structured model probing pipeline for image classification
增加对structured model probing pipeline的支持 Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/11376544
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wenmeng.zwm
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0967ece5a0
commit
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29
tests/pipelines/test_image_structured_model_probing.py
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29
tests/pipelines/test_image_structured_model_probing.py
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# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
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import unittest
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from modelscope.pipelines import pipeline
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from modelscope.utils.constant import Tasks
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from modelscope.utils.demo_utils import DemoCompatibilityCheck
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from modelscope.utils.test_utils import test_level
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class ImageStructuredModelProbingTest(unittest.TestCase,
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DemoCompatibilityCheck):
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def setUp(self) -> None:
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self.task = Tasks.image_classification
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self.model_id = 'damo/structured_model_probing'
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_modelhub(self):
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recognition_pipeline = pipeline(self.task, self.model_id)
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file_name = 'data/test/images/image_structured_model_probing_test_image.jpg'
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result = recognition_pipeline(file_name)
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print(f'recognition output: {result}.')
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if __name__ == '__main__':
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unittest.main()
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