From e4dfcb91a4522131c2b9f4ef2c476634eacc9a53 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Wed, 22 Mar 2023 13:49:55 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_fraction_fcn.py | 8 --------
1 file changed, 8 deletions(-)
diff --git a/modules/deeplearning/cloud_fraction_fcn.py b/modules/deeplearning/cloud_fraction_fcn.py
index b626390f..a924feea 100644
--- a/modules/deeplearning/cloud_fraction_fcn.py
+++ b/modules/deeplearning/cloud_fraction_fcn.py
@@ -774,15 +774,11 @@ def run_restore_static(directory, ckpt_dir, out_file=None):
def run_evaluate_static(in_file, out_file, ckpt_dir):
- sub_y, sub_x = (N_Y * 128) + 10, (N_X * 128) + 10
- y_0, x_0, = 3232 - int(sub_y/2), 1100 - int(sub_x/2)
-
h5f = h5py.File(in_file, 'r')
grd_a = get_grid_values_all(h5f, 'orig/temp_11_0um')
grd_a = np.where(np.isnan(grd_a), 0, grd_a)
grd_a = normalize(grd_a, 'temp_11_0um_nom', mean_std_dct)
- 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)
@@ -791,13 +787,9 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
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, 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[2:3230, 2:1098]
data = np.stack([grd_a, lo, hi, avg, grd_c], axis=2)
data = np.expand_dims(data, axis=0)
--
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