The ChessVisionBot uses computer vision to detect a 2D chessboard on the screen.
It detects played moves by the opponent and calculates the best response given a certain time to calculate. The ChessVisionBot is then able to move the mouse and execute the calculated move.
Thanks to the Stockfish-Engine it is able to play at a very high rating with quick movetimes.
Do not use this chessbot to play against a real human!
| ChessVisionBot vs Victoria on Chess24 (3 minute time control, ~1700 rating) |
ChessVisionBot vs. Chess.com Computer Level 10 (unlimited time, ~2600 rating) |
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| https://www.youtube.com/watch?v=z9LSJM55Tng | https://www.youtube.com/watch?v=1aTEesXdODc |
| ChessVisionBot solves unknown Tactics on Chess.com |
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| https://youtu.be/L6hSxr5kzo4 |
I won't publish a how to install instructions because I want to prevent non programmers to just use this project to cheat on chess websites. My intend with that project is combine computer vision and machine learning with chess and to learn something about every of these aspects.
For a programmer who has the same intentions installation and setting up the environment isn't that hard even though I provide no instructions. The project is only tested on a Mac environment so there may be some compablility problems but I guess nothing impossible to fix.
Feel free to edit the code as you like. If you want to contribute your changes I happily await your Pull Request.
Tensorflow has moved on from Tensorflow 1.0 and has exciting new functionalities with Tensorflow 2.0. Unfortunately, the current Tensorflow code is not compatible with Tensorflow 2.0 and unfortunately I lack the time to convert the code to the current Tensorflow syntax. I'm looking forward to a Pull Request from the community to update the old Tensorflow code, maybe even migrate the code to PyTorch.