From e00c51627b20f9fcbf53d468d79620d17c6d4f42 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Thu, 8 Dec 2022 12:57:38 -0600
Subject: [PATCH] snapshot..
---
modules/deeplearning/srcnn_l1b_l2.py | 10 +++++-----
1 file changed, 5 insertions(+), 5 deletions(-)
diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index 94311345..3a4dfd0c 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -93,8 +93,8 @@ x_130 = slice(2, 132)
y_130 = slice(2, 132)
slc_x_2 = x_134_2
slc_y_2 = y_134_2
-slc_x = x_128
-slc_y = y_128
+x_128 = slice(3, 131)
+y_128 = slice(3, 131)
t = np.arange(1, 66, 0.5)
s = np.arange(1, 66, 0.5)
x_2 = x_67
@@ -104,10 +104,10 @@ y_2 = y_67
# Kernel size: 5, target_size: (128, 128)
# x_132 = slice(3, 135)
# y_132 = slice(3, 135)
-# slc_x = slice(5, 133)
-# slc_y = slice(5, 133)
# slc_x_2 = slice(2, 137, 2)
# slc_y_2 = slice(2, 137, 2)
+# x_128 = slice(5, 133)
+# y_128 = slice(5, 133)
#
# t = np.arange(1, 67, 0.5)
# s = np.arange(1, 67, 0.5)
@@ -306,7 +306,7 @@ class SRCNN:
data = data.astype(np.float32)
# -----------------------------------------------------
# -----------------------------------------------------
- label = input_data[:, label_idx, slc_y, slc_x]
+ label = input_data[:, label_idx, y_128, x_128]
if label_param != 'cloud_probability':
label = normalize(label, label_param, mean_std_dct)
else:
--
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