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#!/usr/bin/env python
import random
import os.path as osp
from functools import reduce, partial
from common import (get_default_parser, get_path_tuples, create_file_list,
link_dataset, random_split, create_label_list)
CLASSES = ('aircraft', 'oiltank', 'overpass', 'playground')
SUBSETS = ('train', 'val', 'test')
SUBDIRS = ('JPEGImages', osp.sep.join(['Annotation', 'xml']))
FILE_LIST_PATTERN = "{subset}.txt"
LABEL_LIST_NAME = "labels.txt"
URL = ""
if __name__ == '__main__':
parser = get_default_parser()
parser.add_argument('--seed', type=int, default=None, help="Random seed.")
parser.add_argument(
'--ratios',
type=float,
nargs='+',
default=(0.7, 0.2, 0.1),
help="Ratios of each subset (train/val or train/val/test).")
args = parser.parse_args()
if args.seed is not None:
random.seed(args.seed)
if len(args.ratios) not in (2, 3):
raise ValueError("Wrong number of ratios!")
out_dir = osp.join(args.out_dataset_dir,
osp.basename(osp.normpath(args.in_dataset_dir)))
link_dataset(args.in_dataset_dir, args.out_dataset_dir)
splits_list = []
for cls in CLASSES:
path_tuples = get_path_tuples(
*(osp.join(out_dir, cls, subdir) for subdir in SUBDIRS),
data_dir=args.out_dataset_dir)
splits = random_split(path_tuples, ratios=args.ratios)
splits_list.append(splits)
splits = map(partial(reduce, list.__add__), zip(*splits_list))
for subset, split in zip(SUBSETS, splits):
file_list = osp.join(
args.out_dataset_dir, FILE_LIST_PATTERN.format(subset=subset))
create_file_list(file_list, split)
print(f"Write file list to {file_list}.")
label_list = osp.join(args.out_dataset_dir, LABEL_LIST_NAME)
create_label_list(label_list, CLASSES)
print(f"Write label list to {label_list}.")