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)