From b699a68a8f9541fe7ff92a2f74fc77e4c8ac90d2 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Wed, 28 Jun 2023 12:13:44 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_opd_srcnn_viirs.py | 18 +++++++++---------
1 file changed, 9 insertions(+), 9 deletions(-)
diff --git a/modules/deeplearning/cloud_opd_srcnn_viirs.py b/modules/deeplearning/cloud_opd_srcnn_viirs.py
index e1ba77f7..cdca7e9d 100644
--- a/modules/deeplearning/cloud_opd_srcnn_viirs.py
+++ b/modules/deeplearning/cloud_opd_srcnn_viirs.py
@@ -732,20 +732,20 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
bt = smooth_2d(bt)
bt = normalize(bt, 'temp_11_0um_nom', mean_std_dct)
- # cld_opd = np.where(np.isnan(cld_opd), 0, cld_opd)
- # cld_opd = cld_opd[nn.slc_y_2, nn.slc_x_2]
- # cld_opd = np.expand_dims(cld_opd, axis=0)
- # cld_opd = nn.upsample(cld_opd)
- # cld_opd = smooth_2d(cld_opd)
- # cld_opd = normalize(cld_opd, label_param, mean_std_dct)
-
- cld_opd = np.where(np.isnan(cld_opd_orig), 0, cld_opd_orig)
- cld_opd = cld_opd[nn.slc_y_m, nn.slc_x_m]
+ cld_opd = np.where(np.isnan(cld_opd), 0, cld_opd)
+ cld_opd = cld_opd[nn.slc_y_2, nn.slc_x_2]
cld_opd = np.expand_dims(cld_opd, axis=0)
cld_opd = nn.upsample(cld_opd)
cld_opd = smooth_2d(cld_opd)
cld_opd = normalize(cld_opd, label_param, mean_std_dct)
+ # cld_opd = np.where(np.isnan(cld_opd_orig), 0, cld_opd_orig)
+ # cld_opd = cld_opd[nn.slc_y_m, nn.slc_x_m]
+ # cld_opd = np.expand_dims(cld_opd, axis=0)
+ # cld_opd = nn.upsample(cld_opd)
+ # cld_opd = smooth_2d(cld_opd)
+ # cld_opd = normalize(cld_opd, label_param, mean_std_dct)
+
data = np.stack([bt, refl, cld_opd], axis=3)
print('input data shape: ', data.shape)
--
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