From 57f221e8eeafb09ecad38c5740db4107b1b62efd Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Wed, 2 Nov 2022 14:50:20 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/srcnn_l1b_l2.py | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index 22e043e0..682c86ba 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -411,12 +411,12 @@ class SRCNN:
input_2d = self.inputs[0]
print('input: ', input_2d.shape)
- input_2d = tf.keras.layers.Conv2D(num_filters, kernel_size=3, strides=1, padding='VALID', activation=None)(input_2d)
+ ##input_2d = tf.keras.layers.Conv2D(num_filters, kernel_size=3, strides=1, padding='VALID', activation=None)(input_2d)
# conv = input_2d
# print('input: ', conv.shape)
print('input: ', input_2d.shape)
- conv = conv_b = tf.keras.layers.Conv2D(num_filters, kernel_size=3, kernel_initializer='he_uniform', activation=activation, padding='SAME')(input_2d)
+ conv = conv_b = tf.keras.layers.Conv2D(num_filters, kernel_size=3, kernel_initializer='he_uniform', activation=activation, padding='VALID')(input_2d)
print(conv.shape)
if NOISE_TRAINING:
--
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