- # Copyright (c) Alibaba, Inc. and its affiliates.
-
- import unittest
-
- import cv2
- import PIL
-
- from modelscope.outputs import OutputKeys
- from modelscope.pipelines import pipeline
- from modelscope.utils.constant import Tasks
- from modelscope.utils.cv.image_utils import panoptic_seg_masks_to_image
- from modelscope.utils.demo_utils import DemoCompatibilityCheck
- from modelscope.utils.test_utils import test_level
-
-
- class ImagePanopticSegmentationTest(unittest.TestCase, DemoCompatibilityCheck):
-
- def setUp(self) -> None:
- self.task = Tasks.image_segmentation
- self.model_id = 'damo/cv_swinL_panoptic-segmentation_cocopan'
-
- @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
- def test_image_panoptic_segmentation(self):
- input_location = 'data/test/images/image_panoptic_segmentation.jpg'
- pan_segmentor = pipeline(Tasks.image_segmentation, model=self.model_id)
- result = pan_segmentor(input_location)
-
- draw_img = panoptic_seg_masks_to_image(result[OutputKeys.MASKS])
- cv2.imwrite('result.jpg', draw_img)
- print('print test_image_panoptic_segmentation return success')
-
- @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
- def test_image_panoptic_segmentation_from_PIL(self):
- input_location = 'data/test/images/image_panoptic_segmentation.jpg'
- pan_segmentor = pipeline(Tasks.image_segmentation, model=self.model_id)
- PIL_array = PIL.Image.open(input_location)
- result = pan_segmentor(PIL_array)
-
- draw_img = panoptic_seg_masks_to_image(result[OutputKeys.MASKS])
- cv2.imwrite('result.jpg', draw_img)
- print('print test_image_panoptic_segmentation from PIL return success')
-
- @unittest.skip('demo compatibility test is only enabled on a needed-basis')
- def test_demo_compatibility(self):
- self.compatibility_check()
-
-
- if __name__ == '__main__':
- unittest.main()
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