From 5de817523a6861f73e5415a3e9bc997a56ea6081 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 1 Nov 2022 16:25:34 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/srcnn_l1b_l2.py | 4 ----
1 file changed, 4 deletions(-)
diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index 894d05f7..c52ca610 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -249,7 +249,6 @@ class SRCNN:
data_norm = []
for param in data_params:
idx = params.index(param)
- # tmp = input_data[:, idx, y_128_2, x_128_2]
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_64, y_64, tmp, t, s)
@@ -257,13 +256,11 @@ class SRCNN:
# --------------------------
param = 'refl_0_65um_nom'
idx = params.index(param)
- # tmp = input_data[:, idx, y_128_2, x_128_2]
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_64, y_64, tmp, t, s)
data_norm.append(tmp)
# --------
- # tmp = input_data[:, label_idx, y_128_2, x_128_2]
tmp = input_data[:, label_idx, slc_y_2, slc_x_2]
if label_param != 'cloud_fraction':
tmp = normalize(tmp, label_param, mean_std_dct, add_noise=add_noise, noise_scale=noise_scale)
@@ -276,7 +273,6 @@ class SRCNN:
data = data.astype(np.float32)
# -----------------------------------------------------
# -----------------------------------------------------
- # label = input_data[:, label_idx, y_128, x_128]
label = input_data[:, label_idx, slc_y, slc_x]
if label_param != 'cloud_fraction':
label = normalize(label, label_param, mean_std_dct)
--
GitLab