HyperPose
Pose estimator
A high-performance pose estimation library for building custom applications.
Library for Fast and Flexible Human Pose Estimation
1k stars
58 watching
275 forks
Language: Python
last commit: almost 2 years ago
Linked from 1 awesome list
computer-visiondistributed-trainingmobilenetneural-networksopenposepose-estimationtensorflowtensorlayertensorrt
Related projects:
Repository | Description | Stars |
---|---|---|
| Human pose estimation using deep learning and TensorFlow | 1,138 |
| An implementation of a real-time multi-person pose estimation system using PyTorch and a network architecture optimized for inference speed. | 1,370 |
| Detects humans and estimates their poses in images using a machine learning model based on OpenPose | 65 |
| Real-time pose estimation for mobile devices using deep neural networks and optimized models. | 1,003 |
| Training and experimentation code for human pose estimation using stacked hourglass networks. | 575 |
| A PyTorch implementation of a deep learning model for 3D multi-person pose estimation from a single RGB image | 825 |
| A PyTorch toolkit for 2D human pose estimation with support for multi-thread data loading, multi-GPU training, and visualization. | 1,109 |
| A deep learning framework for multi-view fusion network-based 3D human motion capture system | 52 |
| A system for real-time and accurate full-body multi-person pose estimation and tracking using deep learning models. | 21 |
| Implementation of a 6D object pose estimation method using hybrid representations | 422 |
| Adaptive style transfer in deep learning using a single model to apply multiple styles | 115 |
| A Matlab toolkit for training and evaluating depth-based pose estimation techniques | 45 |
| Provides a PyTorch implementation of a real-time multi-person pose estimation system using part affinity fields | 159 |
| A PyTorch implementation of a 3D human pose estimation algorithm using weak supervision. | 613 |
| A C++/MATLAB library for solving generalized quadratic pose estimation problems and related uncertainty description | 173 |