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mindspore/model_zoo/official/cv/unet/preprocess.py

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1.9 KiB

# 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.
# ============================================================================
"""unet 310 infer preprocess dataset"""
import argparse
from src.data_loader import create_dataset
from src.config import cfg_unet
def preprocess_dataset(data_dir, result_path, cross_valid_ind=1, cfg=None):
_, valid_dataset = create_dataset(data_dir, 1, 1, False, cross_valid_ind, False, do_crop=cfg['crop'],
img_size=cfg['img_size'])
for i, data in enumerate(valid_dataset):
file_name = "ISBI_test_bs_1_" + str(i) + ".bin"
file_path = result_path + file_name
data[0].asnumpy().tofile(file_path)
def get_args():
parser = argparse.ArgumentParser(description='Preprocess the UNet dataset ',
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('-d', '--data_url', dest='data_url', type=str, default='data/',
help='data directory')
parser.add_argument('-p', '--result_path', dest='result_path', type=str, default='./preprocess_Result/',
help='result path')
return parser.parse_args()
if __name__ == '__main__':
args = get_args()
preprocess_dataset(data_dir=args.data_url, cross_valid_ind=cfg_unet['cross_valid_ind'], cfg=cfg_unet, result_path=
args.result_path)