From 346f713d5676b585400c0f8654941c5fb6a0ed67 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 12 Jul 2022 14:00:42 -0500
Subject: [PATCH] minor
---
modules/deeplearning/unet_l1b_l2.py | 28 ----------------------------
1 file changed, 28 deletions(-)
diff --git a/modules/deeplearning/unet_l1b_l2.py b/modules/deeplearning/unet_l1b_l2.py
index 00948a98..c15cc582 100644
--- a/modules/deeplearning/unet_l1b_l2.py
+++ b/modules/deeplearning/unet_l1b_l2.py
@@ -331,34 +331,6 @@ class UNET:
dataset = dataset.map(self.data_function_evaluate, num_parallel_calls=8)
self.eval_dataset = dataset
- # def setup_pipeline(self, data_nda, label_nda, perc=0.20):
- #
- # num_samples = data_nda.shape[0]
- # num_test = int(num_samples * perc)
- # self.num_data_samples = num_samples - num_test
- # num_train = self.num_data_samples
- #
- # self.train_data_nda = data_nda[0:num_train]
- # self.train_label_nda = label_nda[0:num_train]
- # self.test_data_nda = data_nda[num_train:]
- # self.test_label_nda = label_nda[num_train:]
- #
- # trn_idxs = np.arange(self.train_data_nda.shape[0])
- # tst_idxs = np.arange(self.test_data_nda.shape[0])
- #
- # np.random.shuffle(tst_idxs)
- #
- # self.get_train_dataset(trn_idxs)
- # self.get_test_dataset(tst_idxs)
- #
- # print('datetime: ', now)
- # print('training and test data: ')
- # print('---------------------------')
- # print('num train samples: ', self.num_data_samples)
- # print('BATCH SIZE: ', BATCH_SIZE)
- # print('num test samples: ', tst_idxs.shape[0])
- # print('setup_pipeline: Done')
-
def setup_pipeline(self, train_data_files, train_label_files, test_data_files, test_label_files, num_train_samples):
self.train_data_files = train_data_files
--
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