The testing code for OriNet
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Updated
Nov 18, 2018 - Lua
The testing code for OriNet
Implement Human Pose Transfer papers with Pytorch
Visualize 3d humans' skeletons(body+hands) in ros rviz. The 2d joints are detected by openpose; The depth is from depth image.
Reposing Humans by Warping 3D Features
Human pose estimation based on HRNet
Human Pose Tracking-Skeleton Generation
Python wrapper library for Intel distribution of OpenVINO and Open Model Zoo (OMZ) models. User can use DL by simple function calls with this library.
Stacked Hourglass Network (shnet) for human pose estimation implemented in PyTorch
A simple baseline for 3d human pose estimation in tensorflow v2.
Monitor Your Workout through a Webcam/IP Camera. No equipment is required, other than a camera and a laptop. This application could potentially replace a personal trainer, making it the idea app for workout.
Forecasting Characteristic 3D Poses of Human Actions (CVPR'22) 🏃♂️
Code for "Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation"
Mask R-CNN for Human Pose Estimation on Keras and TensorFlow.
Fast and accurate single-person pose estimation, ranked 10th at CVPR'19 LIP challenge. Contains implementation of "Global Context for Convolutional Pose Machines" paper.
NeurIPS-2021: Direct Multi-view Multi-person 3D Human Pose Estimation
Real-time pose estimation accelerated with NVIDIA TensorRT
A simple wrapper to localize human joints from images/video frames for multiple subjects.
Implementation for Human Pose Estimation using OpenCV
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
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