Daniil-Osokin/gccpm-look-into-person-cvpr19.pytorch
Fast and accurate single-person pose estimation, ranked 10th at CVPR'19 LIP challenge. Contains implementation of "Global Context for Convolutional Pose Machines" paper.
PythonApache-2.0
Stargazers
- ahmadabdulnasirDaboLinux Technologies
- BICHENG
- borongyuan@Factor-Robotics
- BugdragonXi'an Jiaotong University
- bygreencnChina
- chengxmeng
- daydreamer2023
- DenySu
- DolotovEvgeniy
- fly51flyPRIS
- flyingzhaoSoutheast University
- gehaocoolPingan Technology
- geraldchao
- ggsonic
- grib0ed0v@opencv
- hhgxx123
- hufengshuo07Tianjin，China
- hylrh2008
- janicevidal
- karankapoor229Delhi, India
- KevinZ-718Hangzhou
- laycodingShanghai
- liuhengyue@UCRiverside
- liujingqwq
- LucasVandrouxFreelance Computer Vision & Deep Learning
- musicrainie
- OberstWB
- ParikhKadamIndia
- PhillipHuang2017
- Shuai-XieJD.com
- tp-nanNetEase
- vladkol@GoogleCloudPlatform
- XanderChou
- zeyunshi
- zhiyueGuangzhou
- zuoqing1988