rtmlib-ts — Real-time Pose Estimation & Object Detection in Browser with TypeScript + YOLO12

Project Overview Hello dev.to community, I would like to share a project I have been developing — rtmlib-ts . This is a TypeScript library designed for browser-based AI inference, featuring support for YOLO12. It enables real-time object detection, multi-person pose estimation, animal detection, and even 3D pose tracking directly in the web browser using WebAssembly, without requiring any backend infrastructure. Repository : https://github.com/GOH23/rtmlib-ts Live Playground : https://rtmlib-playground.vercel.app/ Core Features Feature Description Object Detection 80 COCO classes using YOLO12n Pose Estimation 17 keypoints skeleton tracking for humans Animal Detection 30 animal species with pose estimation 3D Pose Estimation Full-body 3D keypoints (x, y, z coordinates) Custom Models Run any ONNX model with flexible API Browser-based Pure WebAssembly/WebGPU, no server required Video Support Real-time camera streams and video files Performance ~40-200ms inference depending on configuratio