From b58ed2d0eef91ecb85951750d3a8ee2b8e9ae438 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Sun, 4 Feb 2024 11:15:59 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/icing_cnn.py | 24 ++++++++++++------------
1 file changed, 12 insertions(+), 12 deletions(-)
diff --git a/modules/deeplearning/icing_cnn.py b/modules/deeplearning/icing_cnn.py
index c07277d1..2da79d32 100644
--- a/modules/deeplearning/icing_cnn.py
+++ b/modules/deeplearning/icing_cnn.py
@@ -318,18 +318,18 @@ class IcingIntensityNN:
else:
self.in_mem_data_cache_test[key] = (data, data_alt, label)
- if is_training and DO_AUGMENT:
- data_ud = np.flip(data, axis=1)
- data_alt_ud = np.copy(data_alt)
- label_ud = np.copy(label)
-
- data_lr = np.flip(data, axis=2)
- data_alt_lr = np.copy(data_alt)
- label_lr = np.copy(label)
-
- data = np.concatenate([data, data_ud, data_lr])
- data_alt = np.concatenate([data_alt, data_alt_ud, data_alt_lr])
- label = np.concatenate([label, label_ud, label_lr])
+ # if is_training and DO_AUGMENT:
+ # data_ud = np.flip(data, axis=1)
+ # data_alt_ud = np.copy(data_alt)
+ # label_ud = np.copy(label)
+ #
+ # data_lr = np.flip(data, axis=2)
+ # data_alt_lr = np.copy(data_alt)
+ # label_lr = np.copy(label)
+ #
+ # data = np.concatenate([data, data_ud, data_lr])
+ # data_alt = np.concatenate([data_alt, data_alt_ud, data_alt_lr])
+ # label = np.concatenate([label, label_ud, label_lr])
return data, data_alt, label
--
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