From bffca3585131adb85a3ec2ce14ad80b3082fbc25 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Sat, 8 Oct 2022 13:29:11 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/srcnn_l1b_l2.py | 6 ++++--
1 file changed, 4 insertions(+), 2 deletions(-)
diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index 24a6fc44..57ff96bb 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -49,9 +49,9 @@ mean_std_dct.update(mean_std_dct_l2)
#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']
-params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'refl_0_65um_nom', 'cloud_fraction']
+params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'refl_0_65um_nom', 'cld_opd_dcomp']
data_params = ['temp_11_0um_nom']
-label_params = ['cloud_fraction']
+label_params = ['cld_opd_dcomp']
DO_ZERO_OUT = False
@@ -239,6 +239,8 @@ class SRCNN:
tmp = input_data[:, label_idx, 3:131:2, 3:131:2]
tmp = np.where(np.isnan(tmp), 0, tmp)
tmp = resample_2d_linear(x_64, y_64, tmp, t, s)
+ if label_param != 'cloud_fraction':
+ tmp = normalize(tmp, param, mean_std_dct, add_noise=add_noise, noise_scale=noise_scale)
data_norm.append(tmp)
# ---------
data = np.stack(data_norm, axis=3)
--
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