From a68de83afb45c48db30338c1b12af1a0f91c4ee8 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Thu, 16 Mar 2023 12:28:55 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cnn_cld_frac_mod_res.py | 14 +++++++-------
1 file changed, 7 insertions(+), 7 deletions(-)
diff --git a/modules/deeplearning/cnn_cld_frac_mod_res.py b/modules/deeplearning/cnn_cld_frac_mod_res.py
index 3a115371..6ef8c920 100644
--- a/modules/deeplearning/cnn_cld_frac_mod_res.py
+++ b/modules/deeplearning/cnn_cld_frac_mod_res.py
@@ -89,8 +89,8 @@ if KERNEL_SIZE == 3:
y_k = slice(1, N*128 + 3)
# x_128 = slice(3, N*128 + 3)
# y_128 = slice(3, N*128 + 3)
- x_128 = slice(2, N*128 + 2)
- y_128 = slice(2, N*128 + 2)
+ x_128 = slice(4, N*128 + 4)
+ y_128 = slice(4, N*128 + 4)
elif KERNEL_SIZE == 5:
slc_x = slice(3, 135)
slc_y = slice(3, 135)
@@ -361,7 +361,7 @@ class SRCNN:
tmp = tmp[:, slc_y_2, slc_x_2]
else: # Half res upsampled to full res:
tmp = get_grid_cell_mean(tmp)
- tmp = tmp[:, 0:66, 0:66]
+ tmp = tmp[:, 1:67, 1:67]
tmp = normalize(tmp, param, mean_std_dct)
data_norm.append(tmp)
@@ -376,9 +376,9 @@ class SRCNN:
hi = normalize(hi, param, mean_std_dct)
avg = normalize(avg, param, mean_std_dct)
- data_norm.append(lo[:, 0:66, 0:66])
- data_norm.append(hi[:, 0:66, 0:66])
- data_norm.append(avg[:, 0:66, 0:66])
+ data_norm.append(lo[:, 1:67, 1:67])
+ data_norm.append(hi[:, 1:67, 1:67])
+ data_norm.append(avg[:, 1:67, 1:67])
# data_norm.append(std[:, 0:66, 0:66])
# ---------------------------------------------------
tmp = input_data[:, label_idx, :, :]
@@ -387,7 +387,7 @@ class SRCNN:
tmp = tmp[:, slc_y_2, slc_x_2]
else: # Half res upsampled to full res:
tmp = get_grid_cell_mean(tmp)
- tmp = tmp[:, 0:66, 0:66]
+ tmp = tmp[:, 1:67, 1:67]
if label_param != 'cloud_probability':
tmp = normalize(tmp, label_param, mean_std_dct)
data_norm.append(tmp)
--
GitLab