From 06f65db746328c169a2844f0f12d729c7b938810 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Mon, 26 Sep 2022 14:30:06 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/srcnn_l1b_l2.py | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index 0a46be6c..cd7d4534 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -47,8 +47,8 @@ f.close()
mean_std_dct.update(mean_std_dct_l1b)
mean_std_dct.update(mean_std_dct_l2)
-params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'cloud_fraction']
-data_params = ['temp_11_0um_nom', 'temp_12_0um_nom']
+params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'refl_0_65um_nom', 'cloud_fraction']
+data_params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'refl_0_65um_nom']
label_params = ['cloud_fraction']
@@ -203,7 +203,7 @@ class SRCNN:
f = files[k]
nda = np.load(f)
data_s.append(nda[0:len(data_params), :, :])
- label_s.append(nda[2, :, :])
+ label_s.append(nda[3, :, :])
data = np.concatenate(data_s)
label = np.concatenate(label_s)
--
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