API to convert a picture of a physical chess board state to a digital 2D representation
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Updated
May 26, 2024 - Jupyter Notebook
API to convert a picture of a physical chess board state to a digital 2D representation
Hodgepodge of chessboard chessboard detection algorithms on images from actual matches.
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…
Predict live chess games into FEN notation.
Real-time chessboard processor (Raspberry Pi's version)
Real-time chessboard processor (Windows version)
Real-time chessboard processor (Windows and Raspberry Pi's combination version)
Predict chessboard FEN layouts from images using TensorFlow
Calibrate your camera using a chessboard
Recognizing Chess Game State from an Image
♟🔍 Parse FEN from clipboard image and analyse on https://lichess.org
Converting real images of a chessboard to FEN codes.
Deep Learning and Computer Vision application for chessboard detection and chess pieces classification.
This repository include implementation of calibrating intrinsic and extrinsic camera parameter for distance calculation
Object tracking with OpenCV based on stereo camera images
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
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