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

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

Acceleration techniques for chess piece recognition: LiveChess2FEN

Acceleration techniques for chess piece recognition: LiveChess2FEN

FENtastic chessadecimal encryPGN: Solution

chessboard · GitHub Topics · GitHub

PDF) Chessboard and Chess Piece Recognition With the Support of Neural Networks

Chess Programming - The Chess Board

react-fen-chess-board - npm

LiveChess2FEN: a Framework for Classifying Chess Pieces based on CNNs

PDF) Chessboard and Chess Piece Recognition With the Support of Neural Networks

The Forsyth-Edwards Notation in Chess (FEN)., by Sri Vathsan

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

nvidia-jetson-nano · GitHub Topics · GitHub

Why pieces are moving in opposite direction in python-chess - Stack Overflow

LiveChess2FEN: a Framework for Classifying Chess Pieces based on CNNs