PoseEstimationForMobile
Pose Estimation
Real-time pose estimation for mobile devices using deep neural networks and optimized models.
Real-time single person pose estimation for Android and iOS.
1k stars
53 watching
268 forks
Language: C++
last commit: almost 2 years ago
Linked from 1 awesome list
androidconvolutional-neural-networkscpmdeep-neural-networkshuman-pose-estimationiospose-estimationtensorflow
Related projects:
Repository | Description | Stars |
---|---|---|
| Human pose estimation using deep learning and TensorFlow | 1,138 |
| Detects humans and estimates their poses in images using a machine learning model based on OpenPose | 65 |
| A high-performance pose estimation library for building custom applications. | 1,257 |
| Provides pseudo-GT 3D human pose data and pre-trained models for training 3D pose estimation algorithms | 379 |
| A deep learning framework for multi-view fusion network-based 3D human motion capture system | 52 |
| Provides software to estimate head pose from images and videos using deep learning techniques. | 1,588 |
| An implementation of a real-time multi-person pose estimation system using PyTorch and a network architecture optimized for inference speed. | 1,370 |
| A lightweight human body posture key point model using computer vision and deep learning techniques. | 302 |
| Implementation of a 6D object pose estimation method using hybrid representations | 422 |
| A MATLAB project that uses deep learning and stereo cameras to estimate 3D human pose from image data | 43 |
| A large-scale benchmark and dataset for whole-body pose estimation in images | 770 |
| A PyTorch implementation of a deep learning model for 3D multi-person pose estimation from a single RGB image | 825 |
| A software system that estimates the pose of a head in real-time using computer vision and machine learning techniques | 582 |
| A framework for unsupervised depth and ego-motion estimation from monocular videos using deep learning | 1,977 |
| An implementation of an expressive human pose and shape estimation system using deep learning techniques | 1,027 |