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Jun 23rd, 2018
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Python 0.29 KB | None | 0 0
  1. fig=plt.figure(figsize=(100,100))
  2. start = 50
  3. columns = 1
  4. rows = 10
  5. for i in range(5, columns*rows +1):
  6.     img=cv2.imread(paths_test_auga[i],cv2.IMREAD_COLOR)
  7.     ax = plt.subplot(rows, columns, i)
  8.     ax.set_title("prediction: %d" % test_labels[i])
  9.     ax.imshow(img)
  10.     plt.show()
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