From ab14b3a15016b8aaf74b6a1e7cf52028a36e5fe3 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 23 Jan 2024 16:15:35 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_fraction_fcn_abi_hkm_refl.py | 6 ++++--
1 file changed, 4 insertions(+), 2 deletions(-)
diff --git a/modules/deeplearning/cloud_fraction_fcn_abi_hkm_refl.py b/modules/deeplearning/cloud_fraction_fcn_abi_hkm_refl.py
index 65bb0cf3..5752ee8d 100644
--- a/modules/deeplearning/cloud_fraction_fcn_abi_hkm_refl.py
+++ b/modules/deeplearning/cloud_fraction_fcn_abi_hkm_refl.py
@@ -530,8 +530,10 @@ class SRCNN:
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_2')
+ num_filters_hkm = 32
+ conv_hkm = build_conv2d_block(conv_hkm, num_filters_hkm, activation, 'Conv2D_1')
+ num_filters_hkm *= 2
+ conv_hkm = build_conv2d_block(conv_hkm, num_filters_hkm, activation, 'Conv2D_2')
conv_b = conv_b + conv_hkm
print(conv_b.shape)
--
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