From fc17675534efe255d631a86b0f5545903e5c5258 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Mon, 27 Mar 2023 11:23:20 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_fraction_fcn.py | 4 +++-
1 file changed, 3 insertions(+), 1 deletion(-)
diff --git a/modules/deeplearning/cloud_fraction_fcn.py b/modules/deeplearning/cloud_fraction_fcn.py
index d73e6152..0d02b3e5 100644
--- a/modules/deeplearning/cloud_fraction_fcn.py
+++ b/modules/deeplearning/cloud_fraction_fcn.py
@@ -768,6 +768,8 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
h5f = h5py.File(in_file, 'r')
bt = get_grid_values_all(h5f, 'orig/temp_11_0um')
+ lons = get_grid_values_all(h5f, 'longitude')
+ lats = get_grid_values_all(h5f, 'latitude')
bt = np.where(np.isnan(bt), 0, bt)
bt = normalize(bt, 'temp_11_0um_nom', mean_std_dct)
@@ -797,7 +799,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
if out_file is not None:
np.save(out_file, (cld_frac[0, :, :], denormalize(bt, 'temp_11_0um_nom', mean_std_dct), denormalize(refl_avg, 'refl_0_65um_nom', mean_std_dct), cp))
else:
- return cld_frac[0, :, :], bt, refl_avg, cp
+ return cld_frac[0, :, :], denormalize(bt, 'temp_11_0um_nom', mean_std_dct), denormalize(refl_avg, 'refl_0_65um_nom', mean_std_dct), cp
def analyze2(nda_m, nda_i):
--
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