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be26a62c48
该CR提交了关于人像生成的代码，能够通过给定人像图片以及相应的target姿势数据生成相应姿势的图片。 Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/13715612
48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
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import unittest
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import cv2
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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 HumanImageGenerationTest(unittest.TestCase):
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def setUp(self) -> None:
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self.model_id = 'damo/cv_FreqHPT_human-image-generation'
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self.input = {
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'source_img_path':
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'data/test/images/human_image_generation_source_img.jpg',
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'target_pose_path':
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'data/test/images/human_image_generation_target_pose.txt'
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}
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def pipeline_inference(self, pipeline: Pipeline, input: str):
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result = pipeline(input)
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logger.info(result)
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cv2.imwrite('result.jpg', result[OutputKeys.OUTPUT_IMG])
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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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human_image_generation = pipeline(
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Tasks.human_image_generation,
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model=self.model_id,
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revision='v1.0.1')
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self.pipeline_inference(human_image_generation, self.input)
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_run_modelhub_default_model(self):
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human_image_generation = pipeline(Tasks.human_image_generation)
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self.pipeline_inference(human_image_generation, self.input)
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if __name__ == '__main__':
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unittest.main()
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