chesspy

Detect chess pieces on chesstempo boards using opencv in python.

Usage

>python detect.py -h
usage: detect.py [-h] [-color {w,b}] [-t TIME] [-v] [--show_move]
                 [--hide_move]
                 [--castle {KQkq,Kkq,Qkq,kq,KQk,Kk,Qk,k,KQq,Kq,Qq,q,K,Q,KQ,-}]
                 file

positional arguments:
  file                  png image filename to parse

optional arguments:
  -h, --help            show this help message and exit
  -color {w,b}          color to move, "w" or "b" (color is autodetected if
                        omitted)
  -t TIME, --time TIME  sunfish thinking time, default=5
  -v, --verbose         increase output verbosity and saving of status images
  --show_move           show best move window (default)
  --hide_move           hide best move window
  --castle {KQkq,Kkq,Qkq,kq,KQk,Kk,Qk,k,KQq,Kq,Qq,q,K,Q,KQ,-}
                        castling possibilities (default: -)

Or use the provided screenshot.py script to grab a screenshot and immediately start analyzing it:

python screenshot.py

Example

Take the screenshot

After template matching the detected board is passed to sunfish, which calculates the optimal move and prints it in the original picture:

c:\dev\chesspy>python detect.py samples\stellung3.png
Parsing file samples\stellung3.png None
FEN 1rb1nrk1/2q2p1p/p1p3p1/2QNP3/P7/6P1/1PP2P1P/3RR1K1
Detected board: (b)



 . k . r r . . .
 p . p . . p p .
 . p . . . . . .
 . . . . . . . p
 . . . p n q . .
 . P . . . P . P
 P . P . . Q . .
 . K R N . B R .


Suggested move (score): c6d5 1181

c:\dev\chesspy>

Dependencies

Using http://opencv.org/ to detect the pieces and Sunfish python chess engine to analyse the board and predict the next move.

Python version is 2.7.