tests: Use full paths.
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15
test.py
15
test.py
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@ -49,7 +49,7 @@ align = NaiveDlib(dlibFacePredictor)
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net = openface.TorchWrap(networkModel, imgDim=imgDim)
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def test_pipeline():
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imgPath = os.path.join('images', 'examples', 'lennon-1.jpg')
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imgPath = os.path.join(fileDir, 'images', 'examples', 'lennon-1.jpg')
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bgrImg = cv2.imread(imgPath)
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if bgrImg is None:
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raise Exception("Unable to load image: {}".format(imgPath))
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@ -70,19 +70,20 @@ def test_pipeline():
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1.01860434258)
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def test_compare_demo():
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cmd = ['python2', './demos/compare.py',
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'images/examples/lennon-1.jpg',
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'images/examples/lennon-2.jpg']
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cmd = ['python2', os.path.join(fileDir, 'demos', 'compare.py'),
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os.path.join(fileDir, 'images', 'examples', 'lennon-1.jpg'),
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os.path.join(fileDir, 'images', 'examples', 'lennon-2.jpg')]
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p = Popen(cmd, stdout=PIPE, stderr=PIPE)
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(out, err) = p.communicate()
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print(err)
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assert "0.298" in out
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def test_classification_demo():
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cmd = ['python2', './demos/classifier.py',
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cmd = ['python2', os.path.join(fileDir, 'demos', 'classifier.py'),
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'infer',
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'./models/openface/celeb-classifier.nn4.v1.pkl',
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'images/examples/carell.jpg']
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os.path.join(fileDir, 'models', 'openface',
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'celeb-classifier.nn4.v1.pkl'),
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os.path.join(fileDir, 'images', 'examples', 'carell.jpg')]
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p = Popen(cmd, stdout=PIPE, stderr=PIPE)
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(out, err) = p.communicate()
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print(err)
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