From 521744859f844ca885fddcf71e5a24df4c5c6d20 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Fri, 30 Dec 2022 10:02:08 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/srcnn_l1b_l2.py | 24 ++++++++++++------------
1 file changed, 12 insertions(+), 12 deletions(-)
diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index 5e123688..72ad40aa 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -738,18 +738,18 @@ class SRCNN:
self.reset_test_metrics()
- for data in self.eval_dataset:
- pred = self.model([data], training=False)
- pred = pred.numpy()
- if label_param != 'cloud_probability':
- pred = denormalize(pred, label_param, mean_std_dct)
- print(pred.min(), pred.max())
-
- # pred = self.model([data], training=False)
- # self.test_probs = pred
- # pred = pred.numpy()
- # if label_param != 'cloud_probability':
- # pred = denormalize(pred, label_param, mean_std_dct)
+ # for data in self.eval_dataset:
+ # pred = self.model([data], training=False)
+ # pred = pred.numpy()
+ # if label_param != 'cloud_probability':
+ # pred = denormalize(pred, label_param, mean_std_dct)
+ # print(pred.min(), pred.max())
+
+ pred = self.model([data], training=False)
+ self.test_probs = pred
+ pred = pred.numpy()
+ if label_param != 'cloud_probability':
+ pred = denormalize(pred, label_param, mean_std_dct)
return pred
--
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