LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking
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Updated
May 7, 2020 - Python
LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking
Deep Learning Approach for UWB Applications (IEEE Journal of Biomedical and Health Informatics)
Signal flag semaphore interpretation using PoseNet() pose-recognition/pose-estimation model. Winner at UMBC Hackathon 2019. Collaboration with @amandayehh
A native android application for pose estimation and detection using mlkit. The app can detect poses and recognize the pose made by the user.
Unsupervised way for Pose guided Anime Video Generation using Generative Adversarial Networks.
[BMVC 2019] Code for "SRN: Stacked Regression Network for Real-time 3D Hand Pose Estimation"
This is a project for detecting running or walking pose of a person by using Firebase ML kit and CameraX API
Headless DeepLabCut (no GUI support)
Example of pose recognition and workout repetition counting using Mediapipe framework
PoseNet Using Unity MLAgents Barracuda Engine
Pose tracking for a collection of videos using AlphaPose
This model detects and tracks the pose of the human through Image as well as Video using Computer Vision.
Pose Control monitors your posture and alerts you whenever you're sitting in an incorrect manner.
A small application to track the athlete gesture and motion over time for running, taekwondo, cycling, triathlon Frameworks: Mediapipe
This repository contains a Unity project for a Mixed-Reality based drone controller. The Mixed-Reality device used in this project is a Hololens2.
Human Pose Detection by Google MediaPipe using flask and OpenCV.
Easy to use Computer Vision Modules using Python. Acts as imports to build projects atop of.
Cloning Your Pose using OpenCV and MediaPipe
Body pose estimation project, made in Python and OpenCV
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