From 6c60bb6674fd6ee2799abbfd0ec60e452f314555 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Wed, 27 Sep 2023 16:11:38 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_fraction_fcn_abi.py | 5 ++---
1 file changed, 2 insertions(+), 3 deletions(-)
diff --git a/modules/deeplearning/cloud_fraction_fcn_abi.py b/modules/deeplearning/cloud_fraction_fcn_abi.py
index 5b272f31..6ad8a061 100644
--- a/modules/deeplearning/cloud_fraction_fcn_abi.py
+++ b/modules/deeplearning/cloud_fraction_fcn_abi.py
@@ -817,8 +817,6 @@ class SRCNN:
refl_hi = get_grid_values_all(h5f, 'refl_0_65um_nom_max_sub')
refl_std = get_grid_values_all(h5f, 'refl_0_65um_nom_stddev_sub')
cp = get_grid_values_all(h5f, label_param)
- # lons = get_grid_values_all(h5f, 'longitude')
- # lats = get_grid_values_all(h5f, 'latitude')
cld_frac = self.run_inference_(bt, refl, refl_lo, refl_hi, refl_std, cp)
@@ -923,10 +921,11 @@ class SRCNN:
refl = normalize(refl, 'refl_0_65um_nom', mean_std_dct)
refl_lo = normalize(refl_lo, 'refl_0_65um_nom', mean_std_dct)
refl_hi = normalize(refl_hi, 'refl_0_65um_nom', mean_std_dct)
+ refl_rng = refl_hi - refl_lo
refl_std = np.where(np.isnan(refl_std), 0, refl_std)
cp = np.where(np.isnan(cp), 0, cp)
- data = np.stack([bt, refl, refl_lo, refl_hi, refl_std, cp], axis=2)
+ data = np.stack([bt, refl, refl_rng, refl_std, cp], axis=2)
data = np.expand_dims(data, axis=0)
probs = self.do_inference(data)
cld_frac = probs.argmax(axis=3)
--
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