Predict chessboard FEN layouts from images using TensorFlow
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Updated
Jul 25, 2023 - Jupyter Notebook
Predict chessboard FEN layouts from images using TensorFlow
Hodgepodge of chessboard chessboard detection algorithms on images from actual matches.
Predict live chess games into FEN notation.
Converting real images of a chessboard to FEN codes.
Java based Chess Board Scanner, which converts 2D chess board image into a machine readable format a.k.a. Forsyth–Edwards Notation (FEN). It uses OpenCV and Deeplearning4j frameworks, complemented with some proprietary algorithms implemented for realizing the goal. It currently supports the chess board and pieces sets of the most common online c…
This repository include implementation of calibrating intrinsic and extrinsic camera parameter for distance calculation
Object tracking with OpenCV based on stereo camera images
Recognizing Chess Game State from an Image
Deep Learning and Computer Vision application for chessboard detection and chess pieces classification.
♟🔍 Parse FEN from clipboard image and analyse on https://lichess.org
Real-time chessboard processor (Windows and Raspberry Pi's combination version)
Given an image, containing a 2D chessboard from the magazine "La settimana Enigmistica", recognize the chessboard and build the characters string according to the FEN encoding used as standard to describe the pieces distribution inside the chessboard
Real-time chessboard processor (Windows version)
Real-time chessboard processor (Raspberry Pi's version)
API to convert a picture of a physical chess board state to a digital 2D representation
Calibrate your camera using a chessboard
ChessCognito is a realtime digital chess scoresheet writing tool using computer vision and machine learning .
API for detecting chess positions from images and analyzing them with the Stockfish engine.
Final project for 2110431 Introduction to Digital lmaging
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