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* avoid numpy version check when xtcocotools can be imported Link: https://code.alibaba-inc.com/pai-vision/EasyCV/codereview/10377599 * * move thirdparty into easycv * fix code style Link: https://code.alibaba-inc.com/pai-vision/EasyCV/codereview/10395748 * move thirdparty into easycv * fix missing thirdparty/deformable_attention/src when build package * optimize ci_test * update version to 0.6.3.8 Link: https://code.alibaba-inc.com/pai-vision/EasyCV/codereview/10412059 * update version to 0.6.3.8 * fix face keypoints bugs in FT * update version to 0.6.3.9 Link: https://code.alibaba-inc.com/pai-vision/EasyCV/codereview/10443200 * update version to 0.6.3.9 * fix import thirdparty * fix unittest * fix unittest Co-authored-by: wenmeng.zwm <wenmeng.zwm@alibaba-inc.com> Co-authored-by: shouzhou.bx <shouzhou.bx@alibaba-inc.com>
38 lines
1000 B
Python
38 lines
1000 B
Python
import os
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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 tests.ut_config import TEST_IMAGES_DIR
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from easycv.thirdparty.mtcnn import FaceDetector
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bbox_res = [[
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1.06963833e+03, 5.70454030e+02, 1.53262074e+03, 1.17753027e+03,
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9.99988437e-01
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],
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[
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1.64263477e+03, 7.14960351e+02, 1.99932316e+03, 1.17179306e+03,
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9.99982834e-01
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],
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[
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4.89313601e+02, 6.55557247e+02, 8.37314858e+02, 1.12176724e+03,
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9.99867320e-01
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]]
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class DetDatasetTest(unittest.TestCase):
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def setUp(self):
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print(('Testing %s.%s' % (type(self).__name__, self._testMethodName)))
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def test_facedetector(self):
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detector = FaceDetector()
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image = Image.open(os.path.join(TEST_IMAGES_DIR, 'multi_face.jpg'))
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bboxes, landmarks = detector.detect(image)
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self.assertTrue(np.allclose(bboxes, np.array(bbox_res)))
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if __name__ == '__main__':
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unittest.main()
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