forked from huawei/mindspore2022
60 lines
2.3 KiB
Python
60 lines
2.3 KiB
Python
# Copyright 2021 Huawei Technologies Co., Ltd
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
# ============================================================================
|
|
""" preprocess """
|
|
import os
|
|
import argparse
|
|
import numpy as np
|
|
|
|
parser = argparse.ArgumentParser(description='preprocess')
|
|
parser.add_argument('--dataset', type=str, default='cifar10', help='Dataset, cifar10, imagenet2012')
|
|
parser.add_argument('--dataset_path', type=str, default="../cifar-10/cifar-10-verify-bin",
|
|
help='Dataset path.')
|
|
parser.add_argument('--output_path', type=str, default="./preprocess_Result",
|
|
help='preprocess Result path.')
|
|
args_opt = parser.parse_args()
|
|
|
|
# import dataset
|
|
if args_opt.dataset == "cifar10":
|
|
from src.dataset import create_dataset1 as create_dataset
|
|
from src.config import config1 as config
|
|
elif args_opt.dataset == "cifar100":
|
|
from src.dataset import create_dataset2 as create_dataset
|
|
from src.config import config2 as config
|
|
else:
|
|
raise ValueError("dataset is not support.")
|
|
|
|
|
|
def get_cifar_bin():
|
|
'''generate cifar bin files.'''
|
|
ds = create_dataset(dataset_path=args_opt.dataset_path, do_train=False, batch_size=config.batch_size)
|
|
img_path = os.path.join(args_opt.output_path, "00_img_data")
|
|
label_path = os.path.join(args_opt.output_path, "label.npy")
|
|
os.makedirs(img_path)
|
|
label_list = []
|
|
|
|
for i, data in enumerate(ds.create_dict_iterator(output_numpy=True)):
|
|
img_data = data["image"]
|
|
img_label = data["label"]
|
|
|
|
file_name = args_opt.dataset + "_bs" + str(config.batch_size) + "_" + str(i) + ".bin"
|
|
img_file_path = os.path.join(img_path, file_name)
|
|
img_data.tofile(img_file_path)
|
|
label_list.append(img_label)
|
|
np.save(label_path, label_list)
|
|
print("=" * 20, "export bin files finished", "=" * 20)
|
|
|
|
if __name__ == '__main__':
|
|
get_cifar_bin()
|