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41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
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# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
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import unittest
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import numpy as np
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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.pipelines.base import Pipeline
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from modelscope.utils.constant import Tasks
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from modelscope.utils.logger import get_logger
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from modelscope.utils.test_utils import test_level
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logger = get_logger()
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class ImageTo3DTest(unittest.TestCase):
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def setUp(self) -> None:
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self.model_id = 'Damo_XR_Lab/Syncdreamer'
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self.input = {
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'input_path': 'data/test/images/basketball.png',
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}
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def pipeline_inference(self, pipeline: Pipeline, input: str):
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result = pipeline(input['input_path'])
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np_content = []
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for idx,img in enumerate(result['MViews']):
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np_content.append(np.array(result['MViews'][idx]))
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np_content = np.concatenate(np_content, axis=1)
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Image.fromarray(np_content).save("./concat.png")
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_modelhub(self):
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image_to_3d = pipeline(
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Tasks.image_to_3d, model=self.model_id, revision='v1.0.1')
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self.pipeline_inference(image_to_3d, self.input)
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if __name__ == '__main__':
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unittest.main()
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