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Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/13158565 * [to #42322933] add files * [to #42322933] add files * [to #42322933] add files * [to #42322933] add files * [to #42322933] add files * update test data * [to #42322933] add files * Merge remote-tracking branch 'origin' into feature/sal_try_on * [to #42322933] add files * Merge remote-tracking branch 'origin' into feature/sal_try_on
45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
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import unittest
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import cv2
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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.logger import get_logger
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from modelscope.utils.test_utils import test_level
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logger = get_logger()
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class ImageTryOnTest(unittest.TestCase):
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def setUp(self) -> None:
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self.model_id = 'damo/cv_SAL-VTON_virtual-try-on'
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self.input = {
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'person_input_path': 'data/test/images/image_try_on_person.jpg',
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'garment_input_path': 'data/test/images/image_try_on_garment.jpg',
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'mask_input_path': 'data/test/images/image_try_on_mask.jpg'
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}
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def pipeline_inference(self, pipeline: Pipeline, input: str):
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result = pipeline(input)
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logger.info(result)
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cv2.imwrite('result.jpg', result[OutputKeys.OUTPUT_IMG])
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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_try_on = pipeline(
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Tasks.image_try_on, model=self.model_id, revision='v1.0.1')
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self.pipeline_inference(image_try_on, self.input)
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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_try_on = pipeline(Tasks.image_try_on)
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self.pipeline_inference(image_try_on, self.input)
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if __name__ == '__main__':
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unittest.main()
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