From 31064ac5ed3215024692e20119bc59105645a11b Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 8 Nov 2022 10:25:02 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/cnn_cld_frac.py | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/modules/deeplearning/cnn_cld_frac.py b/modules/deeplearning/cnn_cld_frac.py
index ecb9123c..68be6bd4 100644
--- a/modules/deeplearning/cnn_cld_frac.py
+++ b/modules/deeplearning/cnn_cld_frac.py
@@ -219,7 +219,7 @@ class CNN:
self.test_data_nda = None
self.test_label_nda = None
- self.n_chans = len(data_params) + 2
+ self.n_chans = len(data_params) + 1
self.X_img = tf.keras.Input(shape=(None, None, self.n_chans))
# self.X_img = tf.keras.Input(shape=(36, 36, self.n_chans))
@@ -269,7 +269,7 @@ class CNN:
tmp = input_data[:, label_idx, slc_y_2, slc_x_2]
tmp = tmp[:, slc_y, slc_x]
tmp = np.where(np.isnan(tmp), 0, tmp) # shouldn't need this
- data_norm.append(tmp)
+ ##data_norm.append(tmp)
# ---------
data = np.stack(data_norm, axis=3)
data = data.astype(np.float32)
--
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