From c4c36a839f2e778e65d99dc889f9fbb57890f890 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 14 Mar 2023 13:20:55 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cnn_cld_frac_mod_res.py | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
diff --git a/modules/deeplearning/cnn_cld_frac_mod_res.py b/modules/deeplearning/cnn_cld_frac_mod_res.py
index c8f7062d..1d78d8f5 100644
--- a/modules/deeplearning/cnn_cld_frac_mod_res.py
+++ b/modules/deeplearning/cnn_cld_frac_mod_res.py
@@ -65,8 +65,8 @@ params = ['temp_11_0um_nom', 'refl_0_65um_nom', label_param]
data_params_half = ['temp_11_0um_nom']
data_params_full = ['refl_0_65um_nom']
-# label_idx = params.index(label_param)
-label_idx = 0
+label_idx = params.index(label_param)
+# label_idx = 0
print('data_params_half: ', data_params_half)
print('data_params_full: ', data_params_full)
@@ -350,7 +350,7 @@ class SRCNN:
label_s.append(nda)
input_data = np.concatenate(data_s)
input_label = np.concatenate(label_s)
- input_label = input_label[:, label_idx, :, :]
+ input_label = input_label[:, 0, :, :]
data_norm = []
for param in data_params_half:
@@ -381,7 +381,7 @@ class SRCNN:
data_norm.append(avg[:, 0:66, 0:66])
# data_norm.append(std[:, 0:66, 0:66])
# ---------------------------------------------------
- tmp = input_label
+ tmp = input_data[:, label_idx, :, :]
tmp = tmp.copy()
tmp = np.where(np.isnan(tmp), 0, tmp)
if DO_ESPCN:
--
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