From ab3714332339c56224dea372afa7c7aede6276c8 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Wed, 3 Aug 2022 16:48:01 -0500
Subject: [PATCH] more fixing
---
modules/util/viirs_l1b_l2.py | 56 ++++++++++++++++++------------------
1 file changed, 28 insertions(+), 28 deletions(-)
diff --git a/modules/util/viirs_l1b_l2.py b/modules/util/viirs_l1b_l2.py
index 2d48ed02..d440e5c0 100644
--- a/modules/util/viirs_l1b_l2.py
+++ b/modules/util/viirs_l1b_l2.py
@@ -105,34 +105,34 @@ def run_all(directory, out_directory):
[data_valid_tiles.append(data_tiles[k]) for k in range(n_vld)]
[data_train_tiles.append(data_tiles[k]) for k in range(n_vld, num)]
- if f_cnt == 10:
- cnt += 1
-
- #label_valid = np.stack(label_valid_tiles)
- #label_train = np.stack(label_train_tiles)
- data_valid = np.stack(data_valid_tiles)
- data_train = np.stack(data_train_tiles)
-
- np.save(out_directory+'data_train_' + str(cnt), data_train)
- np.save(out_directory+'data_valid_' + str(cnt), data_valid)
- #np.save(out_directory+'label_train_' + str(cnt), label_train)
- #np.save(out_directory+'label_valid_' + str(cnt), label_valid)
-
- #label_valid_tiles = []
- #label_train_tiles = []
- data_valid_tiles = []
- data_train_tiles = []
-
- num_train_samples = data_train.shape[0]
- num_valid_samples = data_valid.shape[0]
- print(' file # done: ', cnt)
- print('num_train_samples, num_valid_samples: ', num_train_samples, num_valid_samples)
- total_num_train_samples += num_train_samples
- total_num_test_samples += num_valid_samples
-
- f_cnt = 0
- else:
- f_cnt += 1
+ if f_cnt == 10:
+ cnt += 1
+
+ #label_valid = np.stack(label_valid_tiles)
+ #label_train = np.stack(label_train_tiles)
+ data_valid = np.stack(data_valid_tiles)
+ data_train = np.stack(data_train_tiles)
+
+ np.save(out_directory+'data_train_' + str(cnt), data_train)
+ np.save(out_directory+'data_valid_' + str(cnt), data_valid)
+ #np.save(out_directory+'label_train_' + str(cnt), label_train)
+ #np.save(out_directory+'label_valid_' + str(cnt), label_valid)
+
+ #label_valid_tiles = []
+ #label_train_tiles = []
+ data_valid_tiles = []
+ data_train_tiles = []
+
+ num_train_samples = data_train.shape[0]
+ num_valid_samples = data_valid.shape[0]
+ print(' file # done: ', cnt)
+ print('num_train_samples, num_valid_samples: ', num_train_samples, num_valid_samples)
+ total_num_train_samples += num_train_samples
+ total_num_test_samples += num_valid_samples
+
+ f_cnt = 0
+ else:
+ f_cnt += 1
# if len(label_train_tiles) == 0 or len(data_train_tiles) == 0:
# continue
--
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