snapshot...

modules/deeplearning/srcnn_l1b_l2.py

@@ -94,10 +94,10 @@ elif KERNEL_SIZE == 5:
     y_2 = np.arange(68)
 # ----------------------------------------
 # Exp for ESPCN version
-slc_x_2 = slice(0, 132, 2)
-slc_y_2 = slice(0, 132, 2)
-x_128 = slice(2, 130)
-y_128 = slice(2, 130)
+# slc_x_2 = slice(0, 132, 2)
+# slc_y_2 = slice(0, 132, 2)
+# x_128 = slice(2, 130)
+# y_128 = slice(2, 130)
 
 
 def build_residual_conv2d_block(conv, num_filters, block_name, activation=tf.nn.relu, padding='SAME',