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39 lines
1.4 KiB
Python
39 lines
1.4 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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from PIL import Image
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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.cv.image_utils import draw_keypoints
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from modelscope.utils.test_utils import test_level
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class Body2DKeypointsTest(unittest.TestCase):
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def setUp(self) -> None:
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self.task = Tasks.body_2d_keypoints
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self.model_id = 'damo/cv_hrnetv2w32_body-2d-keypoints_image'
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self.test_image = 'data/test/images/keypoints_detect/000000438862.jpg'
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def pipeline_inference(self, pipeline: Pipeline, pipeline_input):
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output = pipeline(pipeline_input)
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image = draw_keypoints(output, self.test_image)
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cv2.imwrite('pose_keypoint.jpg', image)
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_run_modelhub_with_image_file(self):
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body_2d_keypoints = pipeline(self.task, model=self.model_id)
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self.pipeline_inference(body_2d_keypoints, self.test_image)
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_modelhub_with_image_input(self):
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body_2d_keypoints = pipeline(self.task, model=self.model_id)
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self.pipeline_inference(body_2d_keypoints, Image.open(self.test_image))
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if __name__ == '__main__':
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unittest.main()
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