def create_lmdb_meta_file(num_train_examples, num_val_examples, num_test_examples, path_to_lmdb_meta_file):
print('Saving meta file to %s...' % path_to_lmdb_meta_file)
meta = Meta()
meta.num_train_examples = num_train_examples
meta.num_val_examples = num_val_examples
meta.num_test_examples = num_test_examples
meta.save(path_to_lmdb_meta_file)
def create_tfrecords_meta_file(num_train_examples,num_val_examples, num_test_examples,path_to_tfrecords_meta_file):
print 'Saving meta file to %s...' % path_to_tfrecords_meta_file
meta = Meta()
meta.num_train_examples = num_train_examples
meta.num_val_examples = num_val_examples
meta.num_test_examples = num_test_examples
meta.save(path_to_tfrecords_meta_file)
def create_tfrecords_meta_file(num_train_examples, num_val_examples, num_test_examples,
path_to_tfrecords_meta_file):
print 'Saving meta file to %s...' % path_to_tfrecords_meta_file
meta = Meta()
meta.num_train_examples = num_train_examples
meta.num_val_examples = num_val_examples
meta.num_test_examples = num_test_examples
meta.save(path_to_tfrecords_meta_file)
def create_tfrecords_meta_file(self,
dict_sample_number,
meta_name='batches_meta.json'):
print('Saving meta file to %s...' % self.input_dir)
meta = Meta(**dict_sample_number)
with open(self.input_dir + '/cifar-10-batches-py/batches.meta',
'rb') as f:
content = pickle.load(f, encoding='latin1')
meta.categories = content['label_names']
meta.save(self.input_dir + '/' + meta_name)
def create_to_tfrecords_meta_file(num_test_examples,
path_to_tfrecords_meta_file):
print('Saving meta file to %s...' % (path_to_tfrecords_meta_file))
meta = Meta()
meta.num_test_examples = num_test_examples
meta.save(path_to_tfrecords_meta_file)
