From 5805939a429070e0d2713b0f4e3bc245c0209b61 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 14 Mar 2023 15:40:30 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cnn_cld_frac_mod_res.py | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
diff --git a/modules/deeplearning/cnn_cld_frac_mod_res.py b/modules/deeplearning/cnn_cld_frac_mod_res.py
index 00291598..87ee61a2 100644
--- a/modules/deeplearning/cnn_cld_frac_mod_res.py
+++ b/modules/deeplearning/cnn_cld_frac_mod_res.py
@@ -801,10 +801,10 @@ class SRCNN:
return pred
def run(self, directory, ckpt_dir=None, num_data_samples=50000):
- train_data_files = glob.glob(directory+'train_mres_*.npy')
- valid_data_files = glob.glob(directory+'valid_mres*.npy')
- train_label_files = glob.glob(directory+'train_ires*.npy')
- valid_label_files = glob.glob(directory+'valid_ires_*.npy')
+ train_data_files = glob.glob(directory+'train*mres*.npy')
+ valid_data_files = glob.glob(directory+'valid*mres*.npy')
+ train_label_files = glob.glob(directory+'train*ires*.npy')
+ valid_label_files = glob.glob(directory+'valid*ires*.npy')
self.setup_pipeline(train_data_files, train_label_files, valid_data_files, valid_label_files, num_data_samples)
# train_data_files = glob.glob(directory+'data_train_*.npy')
--
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