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1ade52df17
* upload marigold monocular depth estimation core files * fix lint * remove unused files. * update marigold model files * update marigold core files to fix review comments * fix lint * fix lint * fix lint * format code * format code --------- Co-authored-by: 葭润 <ranqing.rq@alibaba-inc.com> Co-authored-by: wenmeng zhou <wenmeng.zwm@alibaba-inc.com>
43 lines
1.7 KiB
Python
43 lines
1.7 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 modelscope.hub.snapshot_download import snapshot_download
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from modelscope.outputs import OutputKeys
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from modelscope.pipelines import pipeline
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from modelscope.pipelines.cv import ImageDepthEstimationMarigoldPipeline
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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 ImageDepthEstimationMarigoldTest(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_XR_Lab/cv_marigold_monocular-depth-estimation'
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self.image = 'data/in-the-wild_example/example_0.jpg'
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_with_model_name(self):
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marigold = pipeline(task=self.task, model=self.model_id)
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input_path = os.path.join(marigold.model, self.image)
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result = marigold(input=input_path)
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depth_vis = result[OutputKeys.DEPTHS_COLOR]
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depth_vis.save('result_modelname.jpg')
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print('Test run with model name ok.')
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@unittest.skipUnless(test_level() >= 0, '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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marigold_pipe = ImageDepthEstimationMarigoldPipeline(cache_path)
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marigold_pipe.group_key = self.task
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input_path = os.path.join(cache_path, self.image)
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result = marigold_pipe(input=input_path)
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depth_vis = result[OutputKeys.DEPTHS_COLOR]
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depth_vis.save('result_snapshot.jpg')
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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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