From 1c10734ecf204c04383e47b39de28b455f30a136 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 8 Nov 2022 16:01:57 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/espcn_l1b_l2.py | 10 ++++++----
1 file changed, 6 insertions(+), 4 deletions(-)
diff --git a/modules/deeplearning/espcn_l1b_l2.py b/modules/deeplearning/espcn_l1b_l2.py
index a9b3c391..8a851495 100644
--- a/modules/deeplearning/espcn_l1b_l2.py
+++ b/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)
--
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