DeepLearningExamples/PyTorch/Segmentation/nnUNet/preprocess.py

49 lines
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Python
Executable file

# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# 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.
import os
import time
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser
from data_preprocessing.preprocessor import Preprocessor
from utils.utils import get_task_code
parser = ArgumentParser(formatter_class=ArgumentDefaultsHelpFormatter)
parser.add_argument("--data", type=str, default="/data", help="Path to data directory")
parser.add_argument("--results", type=str, default="/data", help="Path for saving results directory")
parser.add_argument(
"--exec_mode",
type=str,
default="training",
choices=["training", "val", "test"],
help="Mode for data preprocessing",
)
parser.add_argument("--ohe", action="store_true", help="Add one-hot-encoding for foreground voxels (voxels > 0)")
parser.add_argument("--verbose", action="store_true")
parser.add_argument("--task", type=str, help="Number of task to be run. MSD uses numbers 01-10")
parser.add_argument("--dim", type=int, default=3, choices=[2, 3], help="Data dimension to prepare")
parser.add_argument("--n_jobs", type=int, default=-1, help="Number of parallel jobs for data preprocessing")
if __name__ == "__main__":
args = parser.parse_args()
start = time.time()
Preprocessor(args).run()
task_code = get_task_code(args)
path = os.path.join(args.data, task_code)
if args.exec_mode == "test":
path = os.path.join(path, "test")
end = time.time()
print(f"Pre-processing time: {(end - start):.2f}")