From 92e5ab31bdb925092580db7b53262959b201fa37 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Thu, 5 Jan 2023 14:49:15 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/srcnn_l1b_l2.py | 7 +++++--
1 file changed, 5 insertions(+), 2 deletions(-)
diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index 343502bd..8431a6c7 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -56,7 +56,8 @@ label_param = 'cld_opd_dcomp'
# label_param = 'cloud_probability'
params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'refl_0_65um_nom', label_param]
-data_params = ['temp_11_0um_nom']
+# data_params = ['temp_11_0um_nom']
+data_params = []
label_idx = params.index(label_param)
@@ -462,7 +463,7 @@ class SRCNN:
activation = tf.nn.relu
momentum = 0.99
- num_filters = 48
+ num_filters = 64
input_2d = self.inputs[0]
print('input: ', input_2d.shape)
@@ -485,6 +486,8 @@ class SRCNN:
conv_b = build_residual_conv2d_block(conv_b, num_filters, 'Residual_Block_5', kernel_size=KERNEL_SIZE, scale=scale)
+ conv_b = build_residual_conv2d_block(conv_b, num_filters, 'Residual_Block_6', kernel_size=KERNEL_SIZE, scale=scale)
+
conv_b = tf.keras.layers.Conv2D(num_filters, kernel_size=3, strides=1, activation=activation, kernel_initializer='he_uniform', padding=padding)(conv_b)
conv = conv + conv_b
--
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