From 20cc8e4c16f7aac303540d5433d8820a93ea553b Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 25 Apr 2023 14:05:30 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_opd_srcnn_viirs.py | 29 +++++++++----------
1 file changed, 14 insertions(+), 15 deletions(-)
diff --git a/modules/deeplearning/cloud_opd_srcnn_viirs.py b/modules/deeplearning/cloud_opd_srcnn_viirs.py
index 4e7770db..bdaaf7fd 100644
--- a/modules/deeplearning/cloud_opd_srcnn_viirs.py
+++ b/modules/deeplearning/cloud_opd_srcnn_viirs.py
@@ -66,24 +66,23 @@ print('data_params_full: ', data_params_full)
print('label_param: ', label_param)
KERNEL_SIZE = 3 # target size: (128, 128)
-N_X = N_Y = 1
LEN_X = LEN_Y = 128
if KERNEL_SIZE == 3:
- slc_x_m = slice(1, int((N_X*LEN_X)/2) + 4)
- slc_y_m = slice(1, int((N_Y*LEN_Y)/2) + 4)
- slc_x = slice(3, N_X*LEN_X + 5)
- slc_y = slice(3, N_Y*LEN_Y + 5)
- slc_x_2 = slice(2, N_X*LEN_X + 7, 2)
- slc_y_2 = slice(2, N_Y*LEN_Y + 7, 2)
- x_2 = np.arange(int((N_X*LEN_X)/2) + 3)
- y_2 = np.arange(int((N_Y*LEN_Y)/2) + 3)
- t = np.arange(0, int((N_X*LEN_X)/2) + 3, 0.5)
- s = np.arange(0, int((N_Y*LEN_Y)/2) + 3, 0.5)
- x_k = slice(1, N_X*LEN_X + 3)
- y_k = slice(1, N_Y*LEN_Y + 3)
- x_128 = slice(4, N_X*LEN_X + 4)
- y_128 = slice(4, N_Y*LEN_Y + 4)
+ slc_x_m = slice(1, int(LEN_X/2) + 4)
+ slc_y_m = slice(1, int(LEN_Y/2) + 4)
+ slc_x = slice(3, LEN_X + 5)
+ slc_y = slice(3, LEN_Y + 5)
+ slc_x_2 = slice(2, LEN_X + 7, 2)
+ slc_y_2 = slice(2, LEN_Y + 7, 2)
+ x_2 = np.arange(int(LEN_X/2) + 3)
+ y_2 = np.arange(int(LEN_Y/2) + 3)
+ t = np.arange(0, int(LEN_X/2) + 3, 0.5)
+ s = np.arange(0, int(LEN_Y/2) + 3, 0.5)
+ x_k = slice(1, LEN_X + 3)
+ y_k = slice(1, LEN_Y + 3)
+ x_128 = slice(4, LEN_X + 4)
+ y_128 = slice(4, LEN_Y + 4)
elif KERNEL_SIZE == 5:
slc_x = slice(3, 135)
slc_y = slice(3, 135)
--
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