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50 lines
1.9 KiB
Python
50 lines
1.9 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 modelscope.hub.snapshot_download import snapshot_download
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from modelscope.models import Model
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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.test_utils import test_level
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class ImageDepthEstimationBtsTest(unittest.TestCase):
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def setUp(self) -> None:
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self.task = Tasks.image_depth_estimation
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self.model_id = 'damo/cv_densenet161_image-depth-estimation_bts'
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self.image = 'data/test/images/image_depth_estimation_kitti_007517.png'
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_with_model_from_modelhub(self):
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model = Model.from_pretrained(self.model_id)
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pipeline_bts = pipeline(task=self.task, model=model)
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result = pipeline_bts(input=self.image)
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depth_vis = result[OutputKeys.DEPTHS_COLOR]
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cv2.imwrite('result_modelhub.jpg', depth_vis)
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print('Test run with model from modelhub ok.')
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_run_with_model_name(self):
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pipeline_bts = pipeline(task=self.task, model=self.model_id)
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result = pipeline_bts(input=self.image)
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depth_vis = result[OutputKeys.DEPTHS_COLOR]
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cv2.imwrite('result_modelname.jpg', depth_vis)
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print('Test run with model name ok.')
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_run_by_direct_model_download(self):
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cache_path = snapshot_download(self.model_id)
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pipeline_bts = pipeline(self.task, model=cache_path)
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result = pipeline_bts(input=self.image)
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depth_vis = result[OutputKeys.DEPTHS_COLOR]
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cv2.imwrite('result_snapshot.jpg', depth_vis)
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print('Test run with snapshot ok.')
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if __name__ == '__main__':
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unittest.main()
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