From c69f67624ff09dfc7b9ae515aae7549e964e5186 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 21 Mar 2023 14:05:54 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_fraction_fcn.py | 7 ++++---
1 file changed, 4 insertions(+), 3 deletions(-)
diff --git a/modules/deeplearning/cloud_fraction_fcn.py b/modules/deeplearning/cloud_fraction_fcn.py
index 5160612f..68ad8d19 100644
--- a/modules/deeplearning/cloud_fraction_fcn.py
+++ b/modules/deeplearning/cloud_fraction_fcn.py
@@ -795,13 +795,14 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
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 = grd_b.expand_dims(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[slc_y, slc_x]
- hi = hi[slc_y, slc_x]
- avg = avg[slc_y, slc_x]
+ lo = lo[0:, slc_y, slc_x]
+ hi = hi[0:, slc_y, slc_x]
+ avg = avg[0, slc_y, slc_x]
grd_c = get_grid_values_all(h5f, 'orig/'+label_param)
grd_c = np.where(np.isnan(grd_c), 0, grd_c)
--
GitLab