--- a
+++ b/(1) PyTorch_HistoNet/util/visImage.py
@@ -0,0 +1,13 @@
+import torch
+import numpy as np
+import matplotlib.pyplot as plt
+from util.normImageTo255 import normImageTo255
+
+
+def visImage(x):
+    x2 = torch.squeeze(x, 0)
+    x3 = x2.numpy()
+    x4 = np.swapaxes(x3, 0, 2)
+    x5 = normImageTo255(x4)
+    plt.imshow(x5.astype('uint8'))
+    plt.show()