From baa5914d45aa96dfad4e876a7c99eb6c4a76c9f3 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Thu, 6 Jul 2023 15:23:37 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_opd_srcnn_abi_v2.py | 18 +++++++++---------
1 file changed, 9 insertions(+), 9 deletions(-)
diff --git a/modules/deeplearning/cloud_opd_srcnn_abi_v2.py b/modules/deeplearning/cloud_opd_srcnn_abi_v2.py
index 4ab1310c..5e71cccc 100644
--- a/modules/deeplearning/cloud_opd_srcnn_abi_v2.py
+++ b/modules/deeplearning/cloud_opd_srcnn_abi_v2.py
@@ -271,15 +271,6 @@ class SRCNN:
tmp = normalize(tmp, param, mean_std_dct)
data_norm.append(tmp)
- tmp = input_label[:, label_idx_i, :, :]
- tmp = tmp.copy()
- tmp = np.where(np.isnan(tmp), 0.0, tmp)
- tmp = tmp[:, self.slc_y_2, self.slc_x_2]
- tmp = self.upsample(tmp)
- tmp = smooth_2d(tmp)
- tmp = normalize(tmp, label_param, mean_std_dct)
- data_norm.append(tmp)
-
# for param in sub_fields:
# idx = params.index(param)
# tmp = input_data[:, idx, :, :]
@@ -305,6 +296,15 @@ class SRCNN:
data_norm.append(tmp)
# ---------------------------------------------------
+ tmp = input_label[:, label_idx_i, :, :]
+ tmp = tmp.copy()
+ tmp = np.where(np.isnan(tmp), 0.0, tmp)
+ tmp = tmp[:, self.slc_y_2, self.slc_x_2]
+ tmp = self.upsample(tmp)
+ tmp = smooth_2d(tmp)
+ tmp = normalize(tmp, label_param, mean_std_dct)
+ data_norm.append(tmp)
+
data = np.stack(data_norm, axis=3)
data = data.astype(np.float32)
--
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