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Repository

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  • Host: GitHub
  • Owner: wooseunghyun
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 63.6 MB
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Created over 2 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Code of conduct Citation

README.md

유치장 내 자살자해 탐지 PLASS

이 저장소는 유치장 내 자살자해 탐지의 구현을 포함하고 있습니다. 이 프로젝트는 영상, 스켈레톤 기반 이상행동 탐지를 위해 MMAction2 프레임워크를 활용합니다.

모듈 사용방법

프로젝트를 실행 방법

1. 환경설정

conda create -n selfharm python==3.8 conda activate selfharm git clone https://github.com/wooseunghyun/selfharm_PLASS.git . pip install -U openmim conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia pip install chardet mim install mmcv-full mim install mmengine mim install mmdet mim install mmpose pip install moviepy pip install -e .

2. pth 파일 다운로드

cd work_dirs/demo_rgbposec3d wget --load-cookies ~/cookies.txt "https://docs.google.com/uc?export=download&confirm=$(wget --quiet --save-cookies ~/cookies.txt --keep-session-cookies --no-check-certificate 'https://docs.google.com/uc?export=download&id=1hfvHrenziejJyLPlHvpttWBJB_GeVlRg' -O- | sed -rn 's/.*confirm=([0-9A-Za-z_]+).*/\1\n/p')&id=1hfvHrenziejJyLPlHvpttWBJB_GeVlRg" -O pose_best_acc_top1_epoch_17.pth && rm -rf ~/cookies.txt wget --load-cookies ~/cookies.txt "https://docs.google.com/uc?export=download&confirm=$(wget --quiet --save-cookies ~/cookies.txt --keep-session-cookies --no-check-certificate 'https://docs.google.com/uc?export=download&id=1aI0K3M5r1K4tk2x9-s5hsbdPE8miW6_h' -O- | sed -rn 's/.*confirm=([0-9A-Za-z_]+).*/\1\n/p')&id=1aI0K3M5r1K4tk2x9-s5hsbdPE8miW6_h" -O rgb_best_acc_top1_epoch_17.pth && rm -rf ~/cookies.txt

또는

pose의 pth파일 GoogleDrive

rgb의 pth파일 GoogleDrive

3. mhncity 공유 mmaction2를 내부에 다운 받기

mhncity 공유 mmaction2.zip GoogleDrive을 내부에 다운 받아 아래와 같이 폴더를 위치시키기

selfharm_PLASS └── mmaction2

selfharmPLASS/mmaction2/demo/trackingskeletonori.py의 파일을 trackingskeleton_ori.pyGoogleDrive 와 바꾸기

import 중 module이름을 찾을 수 없다는 오류가 발생할 경우 from mmaction2.BoTSORT.yolov7.utils.plots 와 같이 경로에 mmaction2를 추가

4. 모듈 실행

python ./demo/module_video_structuralize_rgbposec3d.py

또는

modulevideostructuralizergbposec3d.py 내의 selfharmdetection()을 사용하여 결과를 얻을 수 있음.

단, 908라인에 detect_m() 대신 적절한 데이터를 입력해야함.

받아와야하는 데이터는 modifiedresults, personbboxes, pose_results, frames

Owner

  • Login: wooseunghyun
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "MMAction2 Contributors"
title: "OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark"
date-released: 2020-07-21
url: "https://github.com/open-mmlab/mmaction2"
license: Apache-2.0

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