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chessvision ♟️

CI python

uv ruff ty

A fast, lightweight chess board and piece recognition toolkit.

chessvision demo


Install

# With uv (recommended)
uv tool install chessvision

# With pipx
pipx install chessvision
# As a library
uv add chessvision

# or
pip install chessvision

Usage

CLI

# Predict chess positions from a board, screenshot, or book page
chessvision board chessboard.png

# Predict a single square image
chessvision square square.png

Python API

from chessvision import (
    BoardDetector,
    BoardPredictor,
    Castling,
    Orientation,
    PieceClassifier,
    Turn,
)

# 1. Full Board Recognition
predictor = BoardPredictor()
prediction = predictor.predict(
    "chessboard.png",
    orientation=Orientation.WHITE,
    active_color=Turn.WHITE,
    castling=Castling.ALL,
)

print(prediction.render_board)
print(f"FEN: {prediction.fen}")
print(f"Confidence: {prediction.confidence:.2%}")
print(f"URL: {prediction.url}")

# 2. Multi-Board Detection
detector = BoardDetector()
boards = detector.detect("page.png")  # Returns list of cropped PIL Images

for board in boards:
    prediction = predictor.predict(board)
    print(prediction.fen)

# 3. Single Square Classification
classifier = PieceClassifier()
square_prediction = classifier.predict_square("square.png")
print(f"{square_prediction.label} [{square_prediction.confidence:.2%}]")

# 4. Batch Squares Classification
batch_predictions = classifier.predict_squares(["e4.png", "e5.png"])
for prediction in batch_predictions:
    print(f"{prediction.label} [{prediction.confidence:.2%}]")

CLI Subcommands

chessvision board

Flag Short Default Description
--orientation -o white Board perspective (white or black).
--turn -t white Side to move (white or black).
--castling -c - Castling availability (see castling options).
--open False Open position directly in Lichess editor.

Castling Options

Value Description
- No castling for both sides (default)
KQkq Both sides can castle both sides
KQ White can castle both sides
kq Black can castle both sides
K White can castle kingside only
Q White can castle queenside only
k Black can castle kingside only
q Black can castle queenside only
# Specify board perspective (white or black orientation)
chessvision board chessboard.png --orientation black
chessvision board chessboard.png -o black

# Specify castling availability
chessvision board chessboard.png --castling KQkq
chessvision board chessboard.png -c KQ

# Specify side to move (white or black)
chessvision board chessboard.png --turn black
chessvision board chessboard.png -t black

# Open position directly in Lichess editor
chessvision board chessboard.png --open

chessvision square

# Predict piece on a square image
chessvision square square.png

square prediction demo


Model & Cache Management

chessvision automatically downloads the pre-trained ONNX piece classifier (chess_piece_classifier.onnx) from Hugging Face on its first run and caches it locally:

Default File Paths

OS Cache Path
Linux ~/.cache/chessvision/chess_piece_classifier.onnx
macOS ~/Library/Caches/chessvision/chess_piece_classifier.onnx
Windows %LOCALAPPDATA%\chessvision\Cache\chess_piece_classifier.onnx

Attributions

Training assets were extracted, and preprocessed from Lichess open-source piece sets and board themes (see their COPYING.md for individual asset licenses).


License

This project is licensed under the MIT License.

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