From 6a20023160889021e5fb0f3ee30f93c061d7305b Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 20 Dec 2022 10:42:01 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/srcnn_l1b_l2.py | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index cd33a079..969e5488 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -268,7 +268,7 @@ class SRCNN:
# --------
#tmp = input_data[:, label_idx, slc_y_2, slc_x_2]
tmp = input_data[:, label_idx, :, :]
- tmp = smooth_2d(tmp, sigma=1.5)
+ tmp = smooth_2d(tmp, sigma=1.0)
tmp = tmp[:, slc_y_2, slc_x_2]
if label_param != 'cloud_probability':
tmp = normalize(tmp, label_param, mean_std_dct)
@@ -290,7 +290,7 @@ class SRCNN:
# -----------------------------------------------------
#label = input_data[:, label_idx, y_128, x_128]
label = input_data[:, label_idx, :, :]
- label = smooth_2d(label, sigma=1.5)
+ # label = smooth_2d(label, sigma=1.0)
label = label[:, y_128, x_128]
if label_param != 'cloud_probability':
@@ -762,7 +762,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
# grd_b = normalize(grd_b, 'refl_0_65um_nom', mean_std_dct)
grd_c = get_grid_values_all(h5f, label_param)
- grd_c = gaussian_filter(grd_c, sigma=1.5)
+ # grd_c = gaussian_filter(grd_c, sigma=1.0)
grd_c = grd_c[y_0:y_0+sub_y, x_0:x_0+sub_x]
hr_grd_c = grd_c.copy()
hr_grd_c = hr_grd_c[y_128, x_128]
--
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