snapshot..

modules/deeplearning/srcnn_l1b_l2.py

@@ -62,43 +62,17 @@ label_idx = params.index(label_param)
 print('data_params: ', data_params)
 print('label_param: ', label_param)
 
-x_134 = np.arange(134)
-y_134 = np.arange(134)
-x_64 = np.arange(64)
-y_64 = np.arange(64)
-x_67 = np.arange(67)
-y_67 = np.arange(67)
-
-# x_134_2 = slice(3, 131, 2)
-# y_134_2 = slice(3, 131, 2)
-x_128_2 = slice(3, 131, 2)
-y_128_2 = slice(3, 131, 2)
-x_130 = slice(2, 132)
-y_130 = slice(2, 132)
-
-# x_128_2 = x_134[3:131:2]
-# y_128_2 = y_134[3:131:2]
-# x_128 = x_134[3:131]
-# y_128 = y_134[3:131]
-
-
-x_134_2 = slice(1, 134, 2)
-y_134_2 = slice(1, 134, 2)
-
-x_128 = slice(3, 131)
-y_128 = slice(3, 131)
-
 # Kernel size: 3, target size: (128, 128)
 slc_x = slice(2, 132)
 slc_y = slice(2, 132)
-slc_x_2 = x_134_2
-slc_y_2 = y_134_2
+slc_x_2 = slice(1, 134, 2)
+slc_y_2 = slice(1, 134, 2)
 x_128 = slice(3, 131)
 y_128 = slice(3, 131)
 t = np.arange(1, 66, 0.5)
 s = np.arange(1, 66, 0.5)
-x_2 = x_67
-y_2 = y_67
+x_2 = np.arange(67)
+y_2 = np.arange(67)
 # ----------------------------------------
 
 # Kernel size: 5, target_size: (128, 128)