snapshot...

modules/deeplearning/espcn_l1b_l2.py

@@ -72,8 +72,10 @@ y_134_2 = y_134[2:133:2]
 
 slc_x = slice(3, 131)
 slc_y = slice(3, 131)
-slc_x_2 = slice(3, 131, 2)
-slc_y_2 = slice(3, 131, 2)
+#slc_x_2 = slice(3, 131, 2)
+#slc_y_2 = slice(3, 131, 2)
+slc_x_2 = slice(2, 133, 2)
+slc_y_2 = slice(2, 133, 2)
 
 
 def build_residual_conv2d_block(conv, num_filters, block_name, activation=tf.nn.leaky_relu, padding='SAME', scale=None):
@@ -388,8 +390,8 @@ class ESPCN:
 
         # conv_b = tf.keras.layers.Conv2D(num_filters, kernel_size=3, strides=1, padding=padding, kernel_initializer=kernel_initializer)(conv_b)
 
-        # conv = conv + conv_b
-        conv = conv_b
+        conv = conv + conv_b
+        # conv = conv_b
         print(conv.shape)
 
         conv = tf.keras.layers.Conv2D(IMG_DEPTH * (factor ** 2), 3, padding='same', activation=activation)(conv)