Pose implements research open source code

cbsudux/awesome-human-pose-estimation A collection of awesome resources in Human Pose estimation.

caffe

1. CMU-Perceptual-Computing-Lab/openpose

   • desc : OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
   • star : 18.6k
   • fork : 5.6k
   • fram: caffe

2. CMU-Perceptual-Computing-Lab/openpose_train

   • desc : OpenPose Training includes the training code for OpenPose, as well as some experimental models that might not necessarily end up in OpenPose (to avoid confusing its users with too many models).
   • star : 324
   • fork : 93

pytorch

1. Hzzone/pytorch-openpose

   • desc : pytorch implementation of openpose including Hand and Body Pose Estimation.
   • star : 520
   • fork : 121

2. Daniil-Osokin/lightweight-human-pose-estimation.pytorch

   • desc : Fast and accurate human pose estimation in PyTorch. Contains implementation of “Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose” paper.
   • star : 722
   • fork : 169
   • forked

3. dlunion/OpenPose

   • desc: A simple version of OpenPose, concise and not simple, so easy. Just a cpp
   • star : 200
   • fork : 81
   • forked

4. microsoft/human-pose-estimation.pytorch

   • desc : The project is an official implement of our ECCV2018 paper “Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)”
   • star : 2k
   • fork : 443