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40 lines
1.3 KiB
Python
40 lines
1.3 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import os.path as osp
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import unittest
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import cv2
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import numpy as np
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from modelscope.msdatasets import MsDataset
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from modelscope.outputs import OutputKeys
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from modelscope.pipelines import pipeline
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from modelscope.utils.constant import Tasks
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from modelscope.utils.cv.image_utils import draw_facial_expression_result
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from modelscope.utils.test_utils import test_level
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class FacialExpressionRecognitionTest(unittest.TestCase):
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def setUp(self) -> None:
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self.model_id = 'damo/cv_vgg19_facial-expression-recognition_fer'
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def show_result(self, img_path, facial_expression_result):
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img = draw_facial_expression_result(img_path, facial_expression_result)
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cv2.imwrite('result.png', img)
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print(f'output written to {osp.abspath("result.png")}')
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@unittest.skip('skip since the model is set to private for now')
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def test_run_modelhub(self):
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fer = pipeline(
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Tasks.facial_expression_recognition, model=self.model_id)
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img_path = 'data/test/images/facial_expression_recognition.jpg'
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result = fer(img_path)
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if result[OutputKeys.SCORES] is None:
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print('No Detected Face.')
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else:
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self.show_result(img_path, result)
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if __name__ == '__main__':
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unittest.main()
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