From fb5e26a12eab76a5ee3f983e57cf3835f3ddd38d Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Thu, 17 Nov 2022 09:00:47 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/srcnn_l1b_l2.py | 12 ++++++++----
1 file changed, 8 insertions(+), 4 deletions(-)
diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index a517fe36..8d609e32 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -74,6 +74,8 @@ x_128_2 = slice(3, 131, 2)
y_128_2 = slice(3, 131, 2)
x_128 = slice(3, 131)
y_128 = slice(3, 131)
+x_130 = slice(2, 132)
+y_130 = slice(2, 132)
# x_128_2 = x_134[3:131:2]
# y_128_2 = y_134[3:131:2]
@@ -259,16 +261,18 @@ class SRCNN:
data_norm = []
for param in data_params:
idx = params.index(param)
- tmp = input_data[:, idx, slc_y_2, slc_x_2]
+ # tmp = input_data[:, idx, slc_y_2, slc_x_2]
+ tmp = input_data[:, idx, y_130, x_130]
tmp = normalize(tmp, param, mean_std_dct, add_noise=add_noise, noise_scale=noise_scale)
- tmp = resample_2d_linear(x_2, y_2, tmp, t, s)
+ # tmp = resample_2d_linear(x_2, y_2, tmp, t, s)
data_norm.append(tmp)
# --------------------------
param = 'refl_0_65um_nom'
idx = params.index(param)
- tmp = input_data[:, idx, slc_y_2, slc_x_2]
+ # tmp = input_data[:, idx, slc_y_2, slc_x_2]
+ tmp = input_data[:, idx, y_130, x_130]
tmp = normalize(tmp, param, mean_std_dct, add_noise=add_noise, noise_scale=noise_scale)
- tmp = resample_2d_linear(x_2, y_2, tmp, t, s)
+ # tmp = resample_2d_linear(x_2, y_2, tmp, t, s)
data_norm.append(tmp)
# --------
tmp = input_data[:, label_idx, slc_y_2, slc_x_2]
--
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