Implementation for Human Pose Estimation using OpenCV
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Updated
Nov 27, 2022 - Python
Implementation for Human Pose Estimation using OpenCV
NeurIPS-2021: Direct Multi-view Multi-person 3D Human Pose Estimation
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
A simple baseline for 3d human pose estimation in tensorflow v2.
Human Pose Tracking-Skeleton Generation
pose-driven human natural image generation based on latent diffusion model
Human pose estimation based on HRNet
This Unity package provides an easy-to-use and customizable solution to work with and visualize 2D human poses on a Unity canvas.
Stacked Hourglass Network (shnet) for human pose estimation implemented in PyTorch
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.
A simple wrapper to localize human joints from images/video frames for multiple subjects.
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.
Official code of [AAAI2024] Expressive Forecasting of 3D Whole-body Human Motions
The testing code for OriNet
Reposing Humans by Warping 3D Features
Code for "Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation"
Train a stacked hourglass deep neural network for human pose estimation on the COCO 2017 dataset.
Visualize 3d humans' skeletons(body+hands) in ros rviz. The 2d joints are detected by openpose; The depth is from depth image.
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