From 8a96d2867c516880bc7e5ce83d3a13618e79fccb Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Wed, 14 Dec 2022 11:35:34 -0600
Subject: [PATCH] snapshot..
---
modules/deeplearning/srcnn_l1b_l2.py | 25 +++++++++++++------------
1 file changed, 13 insertions(+), 12 deletions(-)
diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index fe437eea..287aafa9 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -63,20 +63,21 @@ print('data_params: ', data_params)
print('label_param: ', label_param)
KERNEL_SIZE = 3 # target size: (128, 128)
+N = 1
if KERNEL_SIZE == 3:
- slc_x = slice(2, 132)
- slc_y = slice(2, 132)
- slc_x_2 = slice(1, 134, 2)
- slc_y_2 = slice(1, 134, 2)
- x_2 = np.arange(67)
- y_2 = np.arange(67)
- t = np.arange(0, 67, 0.5)
- s = np.arange(0, 67, 0.5)
- x_k = slice(1, 131)
- y_k = slice(1, 131)
- x_128 = slice(3, 131)
- y_128 = slice(3, 131)
+ slc_x = slice(2, N*128 + 4)
+ slc_y = slice(2, N*128 + 4)
+ slc_x_2 = slice(1, N*128 + 6, 2)
+ slc_y_2 = slice(1, N*128 + 6, 2)
+ x_2 = np.arange(int((N*128)/2) + 3)
+ y_2 = np.arange(int((N*128)/2) + 3)
+ t = np.arange(0, int((N*128)/2) + 3, 0.5)
+ s = np.arange(0, int((N*128)/2) + 3, 0.5)
+ x_k = slice(1, N*128 + 3)
+ y_k = slice(1, N*128 + 3)
+ x_128 = slice(3, N*128 + 3)
+ y_128 = slice(3, N*128 + 3)
elif KERNEL_SIZE == 5:
slc_x = slice(3, 135)
slc_y = slice(3, 135)
--
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