From fc81b5797fe17a3a33ababaf1a8c3f9834572a48 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Wed, 22 Mar 2023 13:45:23 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_fraction_fcn.py | 7 -------
1 file changed, 7 deletions(-)
diff --git a/modules/deeplearning/cloud_fraction_fcn.py b/modules/deeplearning/cloud_fraction_fcn.py
index 7799a0e6..b626390f 100644
--- a/modules/deeplearning/cloud_fraction_fcn.py
+++ b/modules/deeplearning/cloud_fraction_fcn.py
@@ -781,29 +781,22 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
grd_a = get_grid_values_all(h5f, 'orig/temp_11_0um')
grd_a = np.where(np.isnan(grd_a), 0, grd_a)
- # grd_a = grd_a[y_0:y_0+sub_y, x_0:x_0+sub_x]
grd_a = normalize(grd_a, 'temp_11_0um_nom', mean_std_dct)
- #grd_a = grd_a[slc_y, slc_x]
grd_a = grd_a[2:3230, 2:1098]
grd_b = get_grid_values_all(h5f, 'super/refl_0_65um')
grd_b = np.where(np.isnan(grd_b), 0, grd_b)
- #grd_b = grd_b[y_0:y_0+sub_y, x_0:x_0+sub_x]
grd_b = np.expand_dims(grd_b, axis=0)
lo, hi, std, avg = get_min_max_std(grd_b)
lo = normalize(lo, 'refl_0_65um_nom', mean_std_dct)
hi = normalize(hi, 'refl_0_65um_nom', mean_std_dct)
avg = normalize(avg, 'refl_0_65um_nom', mean_std_dct)
- #lo = lo[0, slc_y, slc_x]
- #hi = hi[0, slc_y, slc_x]
- #avg = avg[0, slc_y, slc_x]
lo = lo[0, 2:3230, 2:1098]
hi = hi[0, 2:3230, 2:1098]
avg = avg[0, 2:3230, 2:1098]
grd_c = get_grid_values_all(h5f, 'orig/'+label_param)
grd_c = np.where(np.isnan(grd_c), 0, grd_c)
- #grd_c = grd_c[y_0:y_0+sub_y, x_0:x_0+sub_x]
grd_c = grd_c[2:3230, 2:1098]
data = np.stack([grd_a, lo, hi, avg, grd_c], axis=2)
--
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