{"repo":"WebAR-rocks/WebAR.rocks.train","free":true,"listed":false,"github":"https://github.com/WebAR-rocks/WebAR.rocks.train","clone":"git clone https://github.com/WebAR-rocks/WebAR.rocks.train.git","description":"Object detection, tracking, and 6DoF pose estimation in the web browser, integrated training environment to train your own neural network models 🚀","language":"JavaScript","stars":102,"topics":["augmented-reality","computer-vision","deep-learning","javascript","object-detection","object-tracking","threejs","webar","webgl","pose-estimation"],"license":"MIT","category":"machine-learning","readme_excerpt":"WebAR.rocks.train Object detection, tracking, and 6DoF pose estimation in web browser Better than a long explanation, a short video: Do you have a lighter? Let the dragon light it on our live demo. --- Introduction This repository hosts a full Integrated Training Environment . You can train your own neural network models directly in the web browser and interactively monitor the training process. The main use case is object detection and tracking and pose estimation : you can train a neural network model to detect and track a real-world object (for example, a lighter) with 6 Degrees of Freedom.. Once trained, this model can be used with WebAR.rocks.object to create a web-based augmented reality application. For instance, you could have a genie pop out of the lighter in augmented reality, as if it were a magic lamp. This software is fully standalone. It does not require any third party machine learning framework ( Google TensorFlow , Torch , Keras , etc.). --- Table of Contents - Features - Architecture - Philosophy - In the Web Browser - Using Synthetic Data - Only on the GPU - Workflow - WebAR.rocks Services - Documentation - Quick Start - Compatibility - The Training Script - Object tracking limitations - Object shape - Object materials - Object 3D Model - Multiple objects - Generatization vs specification - Tutorials - About the Code - References - Bibliography --- Features - Neural network training for: - Object detection, tracking, and 6DoF pose estimation (models can be ","default_branch":null,"files":null,"tree":[],"storefront":"/r/WebAR-rocks","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/WebAR-rocks/WebAR.rocks.train/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}