A PyTorch toolkit for 2D Human Pose Estimation.

Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models

A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"

fashionAI clothes keypoint detection

3D HourGlass Networks for Human Pose Estimation Through Videos

This repository about the project of Computer Vision course at the Sapienza University of Rome: Single-Person 2D Joints Estimation using Convolutional Neural Network, Stacked Hourglass Network, etc.

Visual Traffic Surveillance and Analytics System

Hourglass network for topology extraction of retina images

Estimate surface normals from a single image; 3-stack-hourglass Architecture using Tensorflow; Reduce the Mean Angle Error down to 0.4397164234

Stacked Hourglass Network (shnet) for human pose estimation implemented in PyTorch

Hourglass implementation

Pose estimation implemented in tensorflow 2.

ROS2 Humble Python node and model training tools for detecting and estimating the 6DOF pose of a fuel cap

Final Project of Computer Vision course in the spring semester at NYCU.

Pipeline to accurately and efficiently compute the shape and orientation (pose) of a car given its RGB image by using keypoints generated from an hourglass network after optimising the estimates using the Ceres solver

Human pose estimation using hour-glass architecture and Tensorflow 2.0

Real-time single person pose estimation.

Developed a system which aims to evaluate human poses from a given set of 2D RGB images

A PyTorch toolkit for 2D Human Pose Estimation.