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

The Chess Files: Mate in 2, 3 or 4? – The U.S. Chess Trust

nvidia-jetson-nano · GitHub Topics · GitHub

nvidia-jetson-nano · GitHub Topics · GitHub

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

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

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

chessboard · GitHub Topics · GitHub

LiveChess2FEN: a Framework for Classifying Chess Pieces based on CNNs

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

Acceleration techniques for chess piece recognition: LiveChess2FEN