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- # Copyright (c) Alibaba, Inc. and its affiliates.
- import os.path as osp
- import unittest
-
- import cv2
-
- from modelscope.outputs import OutputKeys
- from modelscope.pipelines import pipeline
- from modelscope.pipelines.base import Pipeline
- from modelscope.utils.constant import Tasks
- from modelscope.utils.test_utils import test_level
-
-
- class FaceGenerationTest(unittest.TestCase):
-
- def setUp(self) -> None:
- self.model_id = 'damo/cv_gan_face-image-generation'
-
- def pipeline_inference(self, pipeline: Pipeline, seed: int):
- result = pipeline(seed)
- if result is not None:
- cv2.imwrite('result.png', result[OutputKeys.OUTPUT_IMG])
- print(f'Output written to {osp.abspath("result.png")}')
-
- @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
- def test_run_modelhub(self):
- seed = 10
- face_generation = pipeline(
- Tasks.face_image_generation,
- model=self.model_id,
- )
- self.pipeline_inference(face_generation, seed)
-
- @unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
- def test_run_modelhub_default_model(self):
- seed = 10
- face_generation = pipeline(Tasks.face_image_generation)
- self.pipeline_inference(face_generation, seed)
-
-
- if __name__ == '__main__':
- unittest.main()
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