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pose-detection
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Custom nodes that extend the capabilities of Comfyui
🌝 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。
[ECCV 2022] Official implementation of the paper "SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos"
Quickly add MediaPipe Pose Estimation and Detection to your iOS app. Enable powerful features in your app powered by the body or hand.
AI-based pose tracking and repetitions counter to help everyone do the workout.
Official code for "Action Transformer: A Self-attention Model for Short-time Pose-based Human Action Recognition", Pattern Recognition (2022).
Use Deepstream python API to extract the model output tensor and customize the post-processing of YOLO-Pose
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.
Pose Detection and Machine Learning for real-time body posture analysis during exercise to provide audiovisual feedback on improvement of form.
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 flutter plugin that uses MLKit on iOS/Android platforms to enable body pose and mask detection using Pose Detection and Selfie Segmentation APIs for both static images and live camera stream.
A MediaPipe Solver library, converting Moetion (inspired by Kalidokit) for use in Unity
The official implementation of paper: "Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning"
Use Tensorflow Lite + OpenCV to do object detection, classification, and Pose detection.
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
Add motion-based magic to your React Native apps! ThinkSys Mediapipe Plugin offers real-time pose detection for iOS, with easy integration, customizable options, and endless possibilities for fitness, healthcare, and more.
A native android application for pose estimation and detection using mlkit. The app can detect poses and recognize the pose made by the user.
A Flutter app that utilises TensorFlow's MoveNet model for pose detection, in order to count a user's reps and detect the correctness of their pose, with additional modules for BMI calculation and nutrition.
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.
Interfaces web application