jeonghyo.k
3946ff6a25
- prediction/image/ FastAPI 서버 Docker 환경 구성 - Dockerfile: PyTorch 2.1 + CUDA 12.1 기반 GPU 이미지 - docker-compose.yml: GPU 할당 + 데이터 볼륨 마운트 - requirements.txt: 서버 의존성 목록 - .env.example: 환경변수 템플릿 - DOCKER_USAGE.md: 빌드/실행/API 사용법 문서 - Dockerfile에 .dockerignore 제외 폴더 mkdir -p 추가 - .gitignore: prediction/image 결과물 및 모델 가중치(.pth) 제외 추가 - dbInsert_csv.py, dbInsert_shp.py 삭제 (미사용 DB 로직) - api.py: dbInsert import 및 주석 처리된 DB 호출 코드 제거 - aerialRouter.ts: req.params 타입 오류 수정
57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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import argparse
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import os.path as osp
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import mmcv
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from cityscapesscripts.preparation.json2labelImg import json2labelImg
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def convert_json_to_label(json_file):
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label_file = json_file.replace('_polygons.json', '_labelTrainIds.png')
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json2labelImg(json_file, label_file, 'trainIds')
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def parse_args():
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parser = argparse.ArgumentParser(
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description='Convert Cityscapes annotations to TrainIds')
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parser.add_argument('cityscapes_path', help='cityscapes data path')
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parser.add_argument('--gt-dir', default='gtFine', type=str)
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parser.add_argument('-o', '--out-dir', help='output path')
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parser.add_argument(
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'--nproc', default=1, type=int, help='number of process')
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args = parser.parse_args()
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return args
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def main():
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args = parse_args()
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cityscapes_path = args.cityscapes_path
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out_dir = args.out_dir if args.out_dir else cityscapes_path
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mmcv.mkdir_or_exist(out_dir)
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gt_dir = osp.join(cityscapes_path, args.gt_dir)
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poly_files = []
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for poly in mmcv.scandir(gt_dir, '_polygons.json', recursive=True):
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poly_file = osp.join(gt_dir, poly)
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poly_files.append(poly_file)
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if args.nproc > 1:
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mmcv.track_parallel_progress(convert_json_to_label, poly_files,
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args.nproc)
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else:
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mmcv.track_progress(convert_json_to_label, poly_files)
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split_names = ['train', 'val', 'test']
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for split in split_names:
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filenames = []
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for poly in mmcv.scandir(
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osp.join(gt_dir, split), '_polygons.json', recursive=True):
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filenames.append(poly.replace('_gtFine_polygons.json', ''))
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with open(osp.join(out_dir, f'{split}.txt'), 'w') as f:
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f.writelines(f + '\n' for f in filenames)
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if __name__ == '__main__':
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main()
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