From d05650006b20d711cf8e4540b1b56260bc65339d Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Sun, 5 Mar 2023 13:05:46 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/cnn_cld_frac_mod_res.py | 5 +++--
1 file changed, 3 insertions(+), 2 deletions(-)
diff --git a/modules/deeplearning/cnn_cld_frac_mod_res.py b/modules/deeplearning/cnn_cld_frac_mod_res.py
index 5e84bc80..48b13e47 100644
--- a/modules/deeplearning/cnn_cld_frac_mod_res.py
+++ b/modules/deeplearning/cnn_cld_frac_mod_res.py
@@ -186,7 +186,7 @@ def get_min_max_std(grd_k):
std = np.nanstd([a, b, c, d], axis=0)
avg = np.nanmean([a, b, c, d], axis=0)
- return lo, hi, std, mean
+ return lo, hi, std, avg
def get_label_data(grd_k):
@@ -353,10 +353,11 @@ class SRCNN:
idx = params.index(param)
tmp = input_data[:, idx, :, :]
- lo, hi, std = get_min_max_std(tmp)
+ lo, hi, std, avg = get_min_max_std(tmp)
lo = normalize(lo, param, mean_std_dct)
hi = normalize(hi, param, mean_std_dct)
std = np.where(np.isnan(std), 0, std)
+
data_norm.append(lo[:, 0:66, 0:66])
data_norm.append(hi[:, 0:66, 0:66])
data_norm.append(std[:, 0:66, 0:66])
--
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