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51 lines
1.8 KiB
Python
51 lines
1.8 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import os
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import unittest
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from PIL import Image
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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 masks_visualization
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from modelscope.utils.test_utils import test_level
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class VideoObjectSegmentationTest(unittest.TestCase):
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def setUp(self) -> None:
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self.task = 'video-object-segmentation'
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self.model_id = 'damo/cv_rdevos_video-object-segmentation'
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self.input_location = 'data/test/videos/video_object_segmentation_test'
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self.images_dir = os.path.join(self.input_location, 'JPEGImages')
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self.mask_file = os.path.join(self.input_location, 'Annotations',
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'00000.png')
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_video_object_segmentation(self):
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input_images = []
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for image_file in sorted(os.listdir(self.images_dir)):
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img = Image.open(os.path.join(self.images_dir, image_file))\
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.convert('RGB')
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input_images.append(img)
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mask = Image.open(self.mask_file).convert('P')
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input = {'images': input_images, 'mask': mask}
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segmentor = pipeline(
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Tasks.video_object_segmentation, model=self.model_id)
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result = segmentor(input)
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out_masks = result[OutputKeys.MASKS]
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vis_masks = masks_visualization(out_masks, mask.getpalette())
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os.makedirs('test_result', exist_ok=True)
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for f, vis_mask in enumerate(vis_masks):
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vis_mask.save(os.path.join('test_result', '{:05d}.png'.format(f)))
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print('test_video_object_segmentation DONE')
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if __name__ == '__main__':
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unittest.main()
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