17 lines
431 B
Python
17 lines
431 B
Python
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import cv2
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import numpy as np
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import common
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import config
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images, labels, labels2=common.read_json('training.json', 10, 10)
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index=np.random.permutation(len(images))
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images=images[index]
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labels=labels[index]
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for i in range(len(images)):
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image=common.prepare_image(images[i], labels[i], False)
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cv2.imshow("image", cv2.resize(image, (2*config.largeur, 2*config.hauteur)))
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if cv2.waitKey()&0xFF==ord('q'):
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break
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