[JS/TensorFlow] JavaScript library that implements machine learning-based models for human pose estimation and human movement analysis. It allows you to easily implement three neural network models for human pose estimation: MoveNet, PoseNet, and BlazePose. No Node.js is required. TensorFlowJS was used, and an example app is included.

This project demonstrates real-time object detection using a webcam, powered by TensorFlow.js and the COCO-SSD (Common Objects in Context - Single Shot MultiBox Detector) pretrained model.

NudeNet: NSFW Object Detection for TFJS and NodeJS

React-Native expo build app, using tensorjs-ML

Deep Learning models for JavaScript.

Fruit recognition backend. A part of https://github.com/Meshkat-Shadik/NutritionAppBackend for Nutrition APP.

NanoDet: Tiny Object Detection for TFJS and NodeJS

Collection of generic JS utils when working with TF models

EfficientPose: Body Segmentation for TFJS and NodeJS

Anti-Spoofing: Real/Fake Face Detection for TFJS and NodeJS

MoveNet: Body Segmentation for TFJS and NodeJS

💃 MoveNet을 사용하여 웹캠 포즈 예측을 하고 안무 영상과 포즈 유사도를 계산하여 댄스 결과 점수를 구한다

A simple website containing information retrieval like a question answering system, give a question and get answers. written on JavaScript. A college assignment.