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1ea9b58447
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/13086361 * fix face-aligment compatible * fix torch2.0 compatible issue
45 lines
1.7 KiB
Python
45 lines
1.7 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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import cv2
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import PIL
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from modelscope.outputs import OutputKeys
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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.cv.image_utils import panoptic_seg_masks_to_image
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from modelscope.utils.test_utils import test_level
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class ImagePanopticSegmentationTest(unittest.TestCase):
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def setUp(self) -> None:
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self.task = Tasks.image_segmentation
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self.model_id = 'damo/cv_swinL_panoptic-segmentation_cocopan'
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_image_panoptic_segmentation(self):
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input_location = 'data/test/images/image_panoptic_segmentation.jpg'
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pan_segmentor = pipeline(Tasks.image_segmentation, model=self.model_id)
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result = pan_segmentor(input_location)
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draw_img = panoptic_seg_masks_to_image(result[OutputKeys.MASKS])
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cv2.imwrite('result.jpg', draw_img)
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print('print test_image_panoptic_segmentation return success')
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_image_panoptic_segmentation_from_PIL(self):
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input_location = 'data/test/images/image_panoptic_segmentation.jpg'
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pan_segmentor = pipeline(Tasks.image_segmentation, model=self.model_id)
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PIL_array = PIL.Image.open(input_location)
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result = pan_segmentor(PIL_array)
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draw_img = panoptic_seg_masks_to_image(result[OutputKeys.MASKS])
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cv2.imwrite('result.jpg', draw_img)
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print('print test_image_panoptic_segmentation from PIL return success')
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if __name__ == '__main__':
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unittest.main()
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