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- fig=plt.figure(figsize=(100,100))
- start = 50
- columns = 1
- rows = 10
- for i in range(5, columns*rows +1):
- img=cv2.imread(paths_test_auga[i],cv2.IMREAD_COLOR)
- ax = plt.subplot(rows, columns, i)
- ax.set_title("prediction: %d" % test_labels[i])
- ax.imshow(img)
- plt.show()
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