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84647801c1
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/13884178 * fix pipeline and image build issue
42 lines
1.4 KiB
Python
42 lines
1.4 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 ProductSegmentationTest(unittest.TestCase):
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def setUp(self) -> None:
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self.model_id = 'damo/cv_F3Net_product-segmentation'
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self.input = 'data/test/images/product_segmentation.jpg'
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def pipeline_inference(self, pipeline: Pipeline, input: str):
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result = pipeline(input)
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cv2.imwrite('test_product_segmentation_mask.jpg',
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result[OutputKeys.MASKS])
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logger.info('test done')
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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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product_segmentation = pipeline(
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Tasks.product_segmentation, model=self.model_id)
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self.pipeline_inference(product_segmentation, 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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product_segmentation = pipeline(Tasks.product_segmentation)
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self.pipeline_inference(product_segmentation, self.input)
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if __name__ == '__main__':
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unittest.main()
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