LiveChess2FEN: Predict live chess games into FEN notation - Jetson

LiveChess2FEN is a fully functional framework that automatically digitizes the configuration of a chessboard. It is optimized for execution on a Nvidia Jetson Nano. Automatic digitization of chess games using computer vision is a significant technological challenge. This problem is of much interest for tournament organizers and amateur or professional players to broadcast their over-the-board (OTB) games online or analyze them using chess engines. Previous work has shown promising results, b

Jetson Project of the Month: LiveChess2FEN Provides Real-Time Game Analysis

Chess FEN Viewer

WACV18: Chess Piece Recognition Using Oriented Chamfer Matching with a Comparison to CNN

PDF) LiveChess2FEN: a Framework for Classifying Chess Pieces based on CNNs

Chess notation - Overleaf, Online LaTeX-skriveprogram

GitHub - JoanneT8/FEN-Chess-Identifier-APS360-Summer-2021: Final project for APS360 (Applied Fundamentals of Machine Learning) Summer 2021 Team Repo Group 3 using object detection and YOLOv5x

I created a FEN generator with my friend : r/chess

How to initialize CHESS BOARD position from FEN string ?

Chess vision(?) - convert between an image of a chess board & fen/pgn : r/learnpython

PDF) LiveChess2FEN: a Framework for Classifying Chess Pieces based on CNNs

Acceleration techniques for chess piece recognition: LiveChess2FEN

react-fen-chess-board - npm

Chess notation - Overleaf, Online LaTeX-skriveprogram