I use torch1.0.1 in conda
conda env create -f env_info_file.yml

python demo.py

指定输入视频(input_video)   --viz-video  
指定输入视频(the keypoints of input_video)  --input-npz   
指定输出视频名称(the name of output video) --viz-output   
指定输出的帧数(the frame number of output video)  --viz-limit 

updata at 2019-04-17

cd joints_detectors/hrnet/lib/
make
cd -
python tools/hrnet_video.py --viz-video /path/to/video.mp4

add hrnet 2D keypoints detection module, to realize the end to end 3D reconstruction
添加hrnet 2D关键点检测模块,实现更高精读的3D video 重构 hrnet

python tools/alphapose_video.py --viz-output output.mp4 --viz-video /path/to/video.mp4
or python tools/aphapose_video.py --viz-output output.gif --viz-video /path/to/video.mp4 --viz-limit 180
need download model

python tools/wild_video.py --viz-output output.mp4 --viz-video /path/to/video.mp4 --input-npz /path/to/input_name.npz

• add FPN-DCN huamn detector for hrnet to realize better accuracy.

其中hrnet依赖的pose model address: https://drive.google.com/drive/folders/1nzM_OBV9LbAEA7HClC0chEyf_7ECDXYA) yolov3 model download: wget https://pjreddie.com/media/files/yolov3.weights

videopose model address: https://dl.fbaipublicfiles.com/video-pose-3d/cpn-pt-243.bin

https://github.com/lxy5513/videopose/blob/master/doc/translate.md

1. model download and save location

load pose model in joints_detectors/hrnet/models/pytorch/pose_coco/
load yolov3 in joints_detectors/hrnet/lib/detector/yolo/

load yolov3 in joints_detectors/Alphapose/models/yolo/
load duc_se joints_detectors/Alphapose/models/sppe/

for videopose model: https://github.com/lxy5513/videopose/blob/master/common/arguments.py#L29
checkpoint/