From eef271c892f507f9c475af5654db77fef3596fed Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Fri, 12 Aug 2022 14:53:36 -0500
Subject: [PATCH] test...
---
modules/deeplearning/espcn.py | 12 ++++++------
1 file changed, 6 insertions(+), 6 deletions(-)
diff --git a/modules/deeplearning/espcn.py b/modules/deeplearning/espcn.py
index 12cc7185..63e7e415 100644
--- a/modules/deeplearning/espcn.py
+++ b/modules/deeplearning/espcn.py
@@ -357,18 +357,18 @@ class ESPCN:
conv_b = build_residual_conv2d_block(conv_b, num_filters, 'Residual_Block_1')
- conv_b = build_residual_conv2d_block(conv_b, num_filters, 'Residual_Block_2')
-
- conv_b = build_residual_conv2d_block(conv_b, num_filters, 'Residual_Block_3')
-
- conv_b = build_residual_conv2d_block(conv_b, num_filters, 'Residual_Block_4')
+ # conv_b = build_residual_conv2d_block(conv_b, num_filters, 'Residual_Block_2')
+ #
+ # conv_b = build_residual_conv2d_block(conv_b, num_filters, 'Residual_Block_3')
+ #
+ # conv_b = build_residual_conv2d_block(conv_b, num_filters, 'Residual_Block_4')
conv_b = tf.keras.layers.Conv2D(num_filters, kernel_size=3, strides=1, padding=padding)(conv_b)
conv = conv + conv_b
print(conv.shape)
- conv = tf.keras.layers.Conv2D(num_filters * (factor ** 2), 3, padding='same')(conv)
+ #conv = tf.keras.layers.Conv2D(num_filters * (factor ** 2), 3, padding='same')(conv)
# conv = tf.keras.layers.Conv2D((factor ** 2), 3, padding='same')(conv)
print(conv.shape)
--
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