AI-FitnessTrainer using YOLOv8-pose

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)

Improved Skin Segmentation program produced during my undergraduate Senior Thesis Research

Deploy Computer Vision solutions with a few lines of code.

testSpectrogram is an open-source platform for wireless channel simulation, human/hand pose extraction, gesture spectrogram generation, and real-time gesture recognition based on millimeter-wave passive sensing and communication systems.

moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

Official repository of Human3.6M 3D WholeBody (H3WB) dataset

⚡️The spatial perception framework for rapidly building smart robots and spaces

Train a stacked hourglass deep neural network for human pose estimation on the COCO 2017 dataset.

Ultralytics YOLOv8 and YOLOv9 for ROS 2

Sandbox for training deep learning networks

ZED plugin and examples for Unreal Engine 5 (Standard Engine)

ZED LiveLink Plugin for Unreal

A lightweight pytorch implementation of HRNet human pose estimation

Official Code for ACM SIGGRAPH 2024 paper "Ultra Inertial Poser: Scalable Motion Capture and Tracking from Sparse Inertial Sensors and Ultra-Wideband Ranging"

GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

Thesis project about human keypoints identification, 3d-reconstruction and filtering for collaborative robotics.