From a4321ec6fb534f9f1fa8e5dca7dd300bcbcf31c4 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Wed, 26 Apr 2023 11:30:04 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/srcnn_l1b_l2.py | 13 ++++++++-----
1 file changed, 8 insertions(+), 5 deletions(-)
diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index 9339f9e5..430c6c71 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -668,10 +668,11 @@ class SRCNN:
preds = np.concatenate(self.test_preds)
print(labels.shape, preds.shape)
- labels_denorm = denormalize(labels, label_param, mean_std_dct)
- preds_denorm = denormalize(preds, label_param, mean_std_dct)
+ # labels_denorm = denormalize(labels, label_param, mean_std_dct)
+ # preds_denorm = denormalize(preds, label_param, mean_std_dct)
- return labels_denorm, preds_denorm
+ # return labels_denorm, preds_denorm
+ return labels, preds
def do_evaluate(self, data, ckpt_dir):
@@ -714,9 +715,11 @@ class SRCNN:
def run_restore_static(directory, ckpt_dir, out_file=None):
nn = SRCNN()
- labels_denorm, preds_denorm = nn.run_restore(directory, ckpt_dir)
+ # labels_denorm, preds_denorm = nn.run_restore(directory, ckpt_dir)
+ labels, preds = nn.run_restore(directory, ckpt_dir)
if out_file is not None:
- np.save(out_file, [labels_denorm, preds_denorm])
+ # np.save(out_file, [labels_denorm, preds_denorm])
+ np.save(out_file, [labels, preds])
def run_evaluate_static(in_file, out_file, ckpt_dir):
--
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