chess_recognition

This project uses computer vision techniques to detect objects on a chessboard. The data are converted into an 8x8 numpy matrix which is passed to the minimax algorithm to suggest a move.

qt5

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30 Stars

2 Forks

30 Watchers

Jupyter Notebook Language

mit License

100 SrcLog Score

Cost to Build

$580.1K

Market Value

$654.6K

How is this calculated?

Growth over time

5 data points · 2022-05-01 → 2026-04-01

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What is the rondinellimorais/chess_recognition GitHub project? Description: "This project uses computer vision techniques to detect objects on a chessboard. The data are converted into an 8x8 numpy matrix which is passed to the minimax algorithm to suggest a move.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone chess_recognition

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git clone https://github.com/rondinellimorais/chess_recognition.git

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[email protected]:rondinellimorais/chess_recognition.git

Download ZIP

Download master.zip

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