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54 lines
2.0 KiB
Python
54 lines
2.0 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import os.path as osp
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import unittest
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import cv2
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from modelscope.hub.snapshot_download import snapshot_download
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from modelscope.outputs import OutputKeys
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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 ImageBodyReshapingTest(unittest.TestCase):
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def setUp(self) -> None:
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self.task = Tasks.image_body_reshaping
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self.model_id = 'damo/cv_flow-based-body-reshaping_damo'
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self.test_image = 'data/test/images/image_body_reshaping.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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if result is not None:
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cv2.imwrite('result_bodyreshaping.png',
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result[OutputKeys.OUTPUT_IMG])
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print(
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f'Output written to {osp.abspath("result_body_reshaping.png")}'
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)
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else:
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raise Exception('Testing failed: invalid output')
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_run_by_direct_model_download(self):
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model_dir = snapshot_download(self.model_id)
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image_body_reshaping = pipeline(
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Tasks.image_body_reshaping, model=model_dir)
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self.pipeline_inference(image_body_reshaping, self.test_image)
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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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image_body_reshaping = pipeline(
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Tasks.image_body_reshaping, model=self.model_id)
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self.pipeline_inference(image_body_reshaping, 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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image_body_reshaping = pipeline(Tasks.image_body_reshaping)
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self.pipeline_inference(image_body_reshaping, self.test_image)
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if __name__ == '__main__':
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unittest.main()
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