From 7aafc16c38c7c21c56d8b03078b16f7d9459f5c6 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 11 Apr 2023 10:40:50 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_fraction_fcn.py | 6 ++----
1 file changed, 2 insertions(+), 4 deletions(-)
diff --git a/modules/deeplearning/cloud_fraction_fcn.py b/modules/deeplearning/cloud_fraction_fcn.py
index 308c4dc6..511ce953 100644
--- a/modules/deeplearning/cloud_fraction_fcn.py
+++ b/modules/deeplearning/cloud_fraction_fcn.py
@@ -814,16 +814,14 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
lats_out = np.zeros((y_len, x_len), dtype=np.float32)
border = int((KERNEL_SIZE - 1)/2)
cld_frac_out[border:y_len - border, border:x_len - border] = cld_frac[0, :, :]
- lons_out[border:y_len - border, border:x_len - border] = lons[:, :]
- lats_out[border:y_len - border, border:x_len - border] = lats[:, :]
bt = denormalize(bt, 'temp_11_0um_nom', mean_std_dct)
refl_avg = denormalize(refl_avg, 'refl_0_65um_nom', mean_std_dct)
if out_file is not None:
- np.save(out_file, (cld_frac_out, bt, refl_avg, cp))
+ np.save(out_file, (cld_frac_out, bt, refl_avg, cp, lons, lats))
else:
- return cld_frac_out, bt, refl_avg, cp
+ return cld_frac_out, bt, refl_avg, cp, lons, lats
def analyze_3cat(file):
--
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