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"

3D HourGlass Networks for Human Pose Estimation Through Videos

fashionAI clothes keypoint detection

[ISBI 2024] HCA-Net: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling

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

Hourglass network for topology extraction of retina images

Pytorch implementation of the paper "Toward fast and accurate human pose estimation via soft-gated skip connections"

Pose estimation implemented in tensorflow 2.

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

tf.keras implementation of "Toward fast and accurate human pose estimation via soft-gated skip connections" by Bulat et al. and "Stacked Hourglass Networks for Human Pose Estimation" by Newell et al.

Real-time single person pose estimation.

Hourglass implementation

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

Visual Traffic Surveillance and Analytics System

Human pose estimation using hour-glass architecture and Tensorflow 2.0

A PyTorch toolkit for 2D Human Pose Estimation.

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