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An package that converts digial chessboard image into Forsyth-Edwards notation

Project description

board_to_fen

Python package that converts digital chessboard image into Forsyth-Edwards notation (FEN) notation

License: MIT PyPI GitHub last commit

Installation

board_to_fen is available on PyPI:

$ pip3 install board_to_fen

Quick Start

from board_to_fen.predict import get_fen_from_image

print(get_fen_from_image(PATH_TO_CHESSBOARD_IMAGE))

Note: The package uses tensorflow+keras and python-opencv API. They should be downloaded on Your machine. I did't put it in install_requires because you can use conda's.

Training

For training You would probably want to download the source code by cloning the repository:

$ git clone https://github.com/mcdominik/board_to_fen.git

Download training data from:
I will supply url for data in the future

In the main repository dir, run

$ python3 ./board_to_fen/train_model.py

Version history

v.0.0.1-13 latest

fix path (upload related) bugs

References:

https://www.kaggle.com/datasets/koryakinp/chess-positions

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