From b5f4eb120e7a05b10d6999d6f1847d919a4467cb Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 23 Jan 2024 14:52:34 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_fraction_fcn_abi_hkm_refl.py | 8 ++++++++
1 file changed, 8 insertions(+)
diff --git a/modules/deeplearning/cloud_fraction_fcn_abi_hkm_refl.py b/modules/deeplearning/cloud_fraction_fcn_abi_hkm_refl.py
index e5d841a4..4954afb5 100644
--- a/modules/deeplearning/cloud_fraction_fcn_abi_hkm_refl.py
+++ b/modules/deeplearning/cloud_fraction_fcn_abi_hkm_refl.py
@@ -527,6 +527,14 @@ class SRCNN:
conv = conv_b = tf.keras.layers.Conv2D(num_filters, kernel_size=KERNEL_SIZE, kernel_initializer='he_uniform', activation=activation, padding='VALID')(input_2d)
print(conv.shape)
+ conv_hkm = conv_hkm_b = tf.keras.layers.Conv2D(num_filters, kernel_size=KERNEL_SIZE, kernel_initializer='he_uniform', activation=activation, padding='VALID')(input_hkm_2d)
+ print(conv_hkm.shape)
+
+ conv_hkm = build_conv2d_block(conv_hkm, num_filters, activation, 'Conv2D_1')
+ conv_hkm = build_conv2d_block(conv_hkm, num_filters, activation, 'Conv2D_1')
+
+ conv_b = conv_b + conv_hkm
+
# if NOISE_TRAINING:
# conv = conv_b = tf.keras.layers.GaussianNoise(stddev=NOISE_STDDEV)(conv)
--
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