#Pose-detection
Showing 10 of 10 repositories tagged #pose-detection, ranked by stars
🌝 MLKit是一个强大易用的工具包。通过ML Kit您可以很轻松的实现文字识别、条码识别、图像标记、人脸检测、对象检测等功能。
Real-time 3D full-body reconstruction from a single camera, Multiperson BVH output, Pure C++ runtime, ONNX + ggml, 70-joint skeleton with hands.
An AI-powered fitness tracker that uses real-time pose estimation to count reps, monitor form, and provide instant feedback for exercises like squats, push-ups, and bicep curls. Designed for accuracy, motivation, and adaptability
Pose Detection and Machine Learning for real-time body posture analysis during exercise to provide audiovisual feedback on improvement of form.
Access Android camera via WebSocket client API and run AI / computer vision tasks with ease on live camera stream
YOLOv8-Pose-GUI Real-time pose estimation & sitting posture analysis. Input: image / video / camera. Detects: normal sitting, bowed head, hunchback, left/right tilt.
This repository contains a collection of Android applications developed using Google ML Kit, demonstrating the power and versatility of machine learning features in mobile development. Each project is crafted using Java and Kotlin, showcasing various use cases and practical implementations.
The purpose of this project is to detect the squat angles which will be helpful for the fitness instructors to provide corrective advice where appropriate.
A powerful React Native Vision Camera plugin delivering high-performance Google ML Kit frame processor features—including text recognition (OCR), face detection, barcode scanning, pose detection, and more. Seamlessly bridges native ML Kit capabilities for real-time, on-device computer vision in your React Native apps.
This repository contains code for collecting pose data of various yoga poses using the MediaPipe Pose model. The collected data includes the angles of different body joints in each yoga pose.