Pose2Seg
Pose estimation model
An implementation of human instance segmentation based on pose estimation
Code for the paper "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.
529 stars
20 watching
136 forks
Language: Python
last commit: over 1 year ago
Linked from 1 awesome list
cvpr2019humanpose-estimationsegmentation
Related projects:
Repository | Description | Stars |
---|---|---|
| A PyTorch toolkit for 2D human pose estimation with support for multi-thread data loading, multi-GPU training, and visualization. | 1,109 |
| Implementation of a 6D object pose estimation method using hybrid representations | 422 |
| Detects humans and estimates their poses in images using a machine learning model based on OpenPose | 65 |
| An implementation of an expressive human pose and shape estimation system using deep learning techniques | 1,027 |
| Training and experimentation code for human pose estimation using stacked hourglass networks. | 575 |
| Demonstration code for human pose estimation using stacked hourglass networks | 316 |
| Real-time instance segmentation using anchor-free detection | 783 |
| A Python package providing metrics and tools for evaluating image segmentation models | 282 |
| An implementation of a fully convolutional instance-aware semantic segmentation framework using CUDA. | 1,567 |
| This repository provides software tools and pre-trained models for estimating 3D human shape and pose from dense body parts | 233 |
| A large-scale benchmark and dataset for whole-body pose estimation in images | 770 |
| Real-time pose estimation for mobile devices using deep neural networks and optimized models. | 1,003 |
| This project proposes a solution to predict salient areas in images using convolutional neural networks. | 186 |
| A library providing an implementation of various metrics for object segmentation and saliency detection in computer vision. | 150 |
| An instance-aware semantic segmentation system based on deep convolutional networks using multi-task network cascades. | 489 |