From d0991839be5d8d73e4c601088ea22cf54d15846a Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Wed, 16 Nov 2022 21:46:46 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/srcnn_l1b_l2.py | 10 ++++------
1 file changed, 4 insertions(+), 6 deletions(-)
diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index b1ccdfbe..a517fe36 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -259,18 +259,16 @@ 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, slc_x]
+ tmp = input_data[:, idx, slc_y_2, slc_x_2]
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, slc_x]
+ tmp = input_data[:, idx, slc_y_2, slc_x_2]
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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