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test_facial_expression_recognition.py 1.2 kB

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  1. # Copyright (c) Alibaba, Inc. and its affiliates.
  2. import os.path as osp
  3. import unittest
  4. import cv2
  5. import numpy as np
  6. from modelscope.msdatasets import MsDataset
  7. from modelscope.outputs import OutputKeys
  8. from modelscope.pipelines import pipeline
  9. from modelscope.utils.constant import Tasks
  10. from modelscope.utils.cv.image_utils import draw_facial_expression_result
  11. from modelscope.utils.test_utils import test_level
  12. class FacialExpressionRecognitionTest(unittest.TestCase):
  13. def setUp(self) -> None:
  14. self.model_id = 'damo/cv_vgg19_facial-expression-recognition_fer'
  15. def show_result(self, img_path, facial_expression_result):
  16. img = draw_facial_expression_result(img_path, facial_expression_result)
  17. cv2.imwrite('result.png', img)
  18. print(f'output written to {osp.abspath("result.png")}')
  19. @unittest.skip('skip since the model is set to private for now')
  20. def test_run_modelhub(self):
  21. fer = pipeline(
  22. Tasks.facial_expression_recognition, model=self.model_id)
  23. img_path = 'data/test/images/facial_expression_recognition.jpg'
  24. result = fer(img_path)
  25. self.show_result(img_path, result)
  26. if __name__ == '__main__':
  27. unittest.main()