params = dict()
params["model_folder"] = "../../../models/"
params["process_real_time"] = True
params["video"] = "C:........" 
params["camera"] = 0
params["process_real_time"] = True
params["frames_repeat"] = True
params["body"] = 1
opWrapper = op.WrapperPython(3)
opWrapper.configure(params)
opWrapper.execute()

 

 

1. opWrapper.start()대신 execute()

2. op.WrapperPython(3)써주기 -> mode설정 필

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1. git clone

 

2. prerequisites만족 시키기

https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/doc/prerequisites.md

 

CMU-Perceptual-Computing-Lab/openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation - CMU-Perceptual-Computing-Lab/openpose

github.com

3. installation 따라하기

https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/doc/installation.md

 

CMU-Perceptual-Computing-Lab/openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation - CMU-Perceptual-Computing-Lab/openpose

github.com

cmake시에 x64하는거 잊지말기

CPU_ONLY, BUILD PYTHON체크(PYBIND11은 알아서 되는듯)

CONFIGURE -> GENERATE -> OPEN PROJECT

 

4. release,x 64로 빌드, 목록중에서 pyopenpose프로젝트만 선택해서 빌드

-> 나같은 경우는 이렇게 해야 build/python/openpose에 release폴더가 생성되고 파일들이 만들어졌슴

 

5. testing

https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/doc/modules/python_module.md

 

CMU-Perceptual-Computing-Lab/openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation - CMU-Perceptual-Computing-Lab/openpose

github.com

잘 됨

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

 

참고:

https://medium.com/@acpanjan/download-google-drive-files-using-wget-3c2c025a8b99

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export PATH=/usr/local/cuda-9.0/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64/:$LD_LIBRARY_PATH
export CUDA_HOME=/usr/local/cuda-9.0

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