From ef144182e124e8a48c4ac0eab7b423b71709eed6 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Thu, 15 Jun 2023 11:28:55 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cloud_opd_srcnn_abi.py | 14 +++++++++++++-
1 file changed, 13 insertions(+), 1 deletion(-)
diff --git a/modules/deeplearning/cloud_opd_srcnn_abi.py b/modules/deeplearning/cloud_opd_srcnn_abi.py
index 962bc9db..c2723ff7 100644
--- a/modules/deeplearning/cloud_opd_srcnn_abi.py
+++ b/modules/deeplearning/cloud_opd_srcnn_abi.py
@@ -208,7 +208,7 @@ class SRCNN:
self.test_label_files = None
# self.n_chans = len(data_params_half) + len(data_params_full) + 1
- self.n_chans = 3
+ self.n_chans = 6
self.X_img = tf.keras.Input(shape=(None, None, self.n_chans))
@@ -267,6 +267,18 @@ class SRCNN:
tmp = normalize(tmp, param, mean_std_dct)
data_norm.append(tmp)
+ for param in sub_fields:
+ idx = params.index(param)
+ tmp = input_data[:, idx, :, :]
+ tmp = np.where(np.isnan(tmp), 0, tmp)
+ tmp = tmp[:, self.slc_y_m, self.slc_x_m]
+ tmp = self.upsample(tmp)
+ if param != 'refl_substddev_ch01':
+ tmp = normalize(tmp, 'refl_0_65um_nom', mean_std_dct)
+ else:
+ tmp = np.where(np.isnan(tmp), 0, tmp)
+ data_norm.append(tmp)
+
# for param in sub_fields:
# idx = params.index(param)
# tmp = input_data[:, idx, :, :]
--
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