From d10952ef93e80204084fa4635a438c602929d193 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 20 Jun 2023 14:49:52 -0500
Subject: [PATCH] snapshot...

---
 modules/deeplearning/cloud_opd_srcnn_abi.py | 26 ++++++++++-----------
 1 file changed, 13 insertions(+), 13 deletions(-)

diff --git a/modules/deeplearning/cloud_opd_srcnn_abi.py b/modules/deeplearning/cloud_opd_srcnn_abi.py
index 29761920..730207e3 100644
--- a/modules/deeplearning/cloud_opd_srcnn_abi.py
+++ b/modules/deeplearning/cloud_opd_srcnn_abi.py
@@ -207,7 +207,7 @@ class SRCNN:
         self.test_label_files = None
 
         # self.n_chans = len(data_params_half) + len(data_params_full) + 1
-        self.n_chans = 5
+        self.n_chans = 3
 
         self.X_img = tf.keras.Input(shape=(None, None, self.n_chans))
 
@@ -266,18 +266,18 @@ 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), 0.0, tmp)
-            tmp = tmp[:, self.slc_y_m, self.slc_x_m]
-            tmp = self.upsample(tmp)
-            # if param != 'refl_substddev_ch01':
-            if False:
-                tmp = normalize(tmp, 'refl_0_65um_nom', mean_std_dct)
-            else:
-                tmp = np.where(np.isnan(tmp), 0.0, tmp)
-            data_norm.append(tmp)
+        # for param in sub_fields:
+        #     idx = params.index(param)
+        #     tmp = input_data[:, idx, :, :]
+        #     tmp = np.where(np.isnan(tmp), 0.0, tmp)
+        #     tmp = tmp[:, self.slc_y_m, self.slc_x_m]
+        #     tmp = self.upsample(tmp)
+        #     # if param != 'refl_substddev_ch01':
+        #     if False:
+        #         tmp = normalize(tmp, 'refl_0_65um_nom', mean_std_dct)
+        #     else:
+        #         tmp = np.where(np.isnan(tmp), 0.0, tmp)
+        #     data_norm.append(tmp)
 
         # for param in sub_fields:
         #     idx = params.index(param)
-- 
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