Difference between revisions of "Raspberry PI Chessboard Camera"

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Line 244: Line 244:
 
   class Cell {
 
   class Cell {
 
   }
 
   }
   class ChessCam {
+
   note top of ChessCam: Chess Camera get next move by analyzing movements.
    getNextMove()
+
class ChessCam {
    getDominatorOffset()
+
  prepare(args)
   }
+
  __init__()
 +
  playChessWithCam(args)
 +
  getNextMove()
 +
  getDominatorOffset()
 +
   detectMovement()
 +
  playChessWithCamMoves()
 +
}
 +
 
  
  
Line 257: Line 264:
 
   class InputManager
 
   class InputManager
 
   class MovementDetector
 
   class MovementDetector
   class State {
+
   note top of State: This class is used to remember the pieces positions and the current player's color which player needs to play).
    __init__(dominatorOffset)
+
class State {
    moveCam(move)
+
  _move(fromCell,toCell)
    _move(fromCell, toCell)
+
  _validateMove(fromCell,toCell)
    _eat(fromCell, toCell)
+
  _sameColor(c1,c2)
    _castle(fromCell, toCell)
+
  _switchTurn()
    _tryToPromote(c)
+
  moveCam(move)
    _switchTurn()
+
  _tryToPromote(c)
    _sameColor(c1, c2)
+
  _castle(fromCell,toCell)
    _emptyCell(c)
+
  _eat(fromCell,toCell)
     _validateMove(fromCell, toCell)
+
  _initBoard()
     _initBoard()
+
  __init__(dominatorOffset)
     _partMoves(move)
+
  _emptyCell(c)
 +
  _partMoves(move)
 +
}
 +
 
 +
  class StateDetector {
 +
     _divideInCells()
 +
     detectState(colorImage)
 +
     _findIntersects()
 
   }
 
   }
  class StateDetector
+
 
 
   note top of Uci: This class interacts with stdin and stdout with Arena in the UCI convention in order to communicate chess moves.
 
   note top of Uci: This class interacts with stdin and stdout with Arena in the UCI convention in order to communicate chess moves.
 
   class Uci {
 
   class Uci {

Revision as of 18:57, 20 October 2019

Chessboard Move Recorder

see e.g. https://chess.stackexchange.com/questions/4695/tools-for-automated-notation-webcam-movie-to-pgn/26643#26643

Parts List

# picture part example sources documents ~ price
1 Brett-Bundesliga_200x200.jpg Chessboard

Schachversand Ullrich

Wikipedia 25 €
2 Bundesliga57f787924d743_200x200.jpg Chess pieces

Schachversand Ullrich

Wikipedia 25 €
3 Raspberry Pi 3 Model B.png Raspberry PI

Amazon

Wikipedia 45 €
4 LogitechC615.jpeg Web Camera

Amazon

Raspberry PI compatibility list (german) 60 €
5 71KECb7RmVL. SX679 .jpg USB Powerbank

Amazon

15 €
6 613RrJEZYPL. SL1000 .jpg 16 GByte Micro SD Card

Amazon

5 €

Pictures

First Prototype

SAM 9947.JPG SAM 9949.JPG SAM 9951.JPG Chess34563.jpg

Second Prototype

SAM 9955.JPG SAM 9962.JPG

Installation

see

Projects

CV_Chess

Trying out the CV_Chess project from https://classes.engineering.wustl.edu/ese205/core/index.php?title=CV_Chess Fork of it at:

Installation

git clone  https://github.com/WolfgangFahl/ESE205-CVChess/
./installOpenCV
./install

Test

./test
============================= test session starts ==============================
platform linux -- Python 3.7.3, pytest-5.2.1, py-1.8.0, pluggy-0.13.0
rootdir: /home/wf/source/python/ESE205-CVChess
collected 2 items                                                              

test_camera.py .                                                         [ 50%]
test_webcam.py .                                                         [100%]

============================== 2 passed in 3.87s ===============================

Preview

# see https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_gui/py_video_display/py_video_display.html
import numpy as np
import cv2

cap = cv2.VideoCapture(0)

while(True):
    # Capture frame-by-frame
    ret, frame = cap.read()

    # Our operations on the frame come here
    #gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    # Display the resulting frame
    cv2.imshow('Camera',frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()

start the above code - stop by pressing 'q'

python3 preview.py

Chesspic2019-10-15 1627.png

Run

./run

CV ChessStep1.png CV ChessStep2.png CV ChessStep3.png CV ChessStep4.png CV ChessStep5.png CV ChessStep6.png CV ChessStep7.png CV Chess Identified.png

Project details

The project was an effort of some 200 hours See also https://classes.engineering.wustl.edu/ese205/core/index.php?title=CV_Chess_Logs

Code Structure

Click classes to view source code

Issues

see also https://github.com/rjgoodloe/ESE205-CVChess/issues

CV ChessDetection.png

The board detection algorithm does not make sure that squares are really squares.

play-chess-with-a-webcam

see github fork at

Written in python2 migrated to python3.7. see https://unix.stackexchange.com/a/410851/38701 for selection your python version on Ubuntu

Code Structure

UCI compatible GUIs

XBoard

sudo apt-get install xboard polyglot stockfish
xboard -fUCI -fcp stockfish -sUCI -scp stockfish

XBoard2019-10-19.png

Open Source Projects

Commercial

Links

Videos