Difference between revisions of "Raspberry PI Chessboard Camera"

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= Chessboard Move Recorder =
 
= Chessboard Move Recorder =
 
see e.g. https://chess.stackexchange.com/questions/4695/tools-for-automated-notation-webcam-movie-to-pgn/26643#26643
 
see e.g. https://chess.stackexchange.com/questions/4695/tools-for-automated-notation-webcam-movie-to-pgn/26643#26643
 +
== Motivation ==
 +
see {{Link|target=MagneticSensorChessBoard1987}}
  
 
= Parts List =
 
= Parts List =
Line 52: Line 54:
 
* {{Link|target=Raspberry PI WebCam}} for the WebCam installation.
 
* {{Link|target=Raspberry PI WebCam}} for the WebCam installation.
  
−
= Projects =
+
{{:WebCamBasedChess}}
−
== 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:
 
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* https://github.com/WolfgangFahl/ESE205-CVChess/
 
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=== Installation ===
 
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<source lang='bash'>
 
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git clone  https://github.com/WolfgangFahl/ESE205-CVChess/
 
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./installOpenCV
 
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./install
 
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</source>
 
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=== Test ===
 
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<source lang='bash' highlight='1,10'>
 
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./test
 
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============================= test session starts ==============================
 
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platform linux -- Python 3.7.3, pytest-5.2.1, py-1.8.0, pluggy-0.13.0
 
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rootdir: /home/wf/source/python/ESE205-CVChess
 
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collected 2 items                                                             
 
  
−
test_camera.py .                                                        [ 50%]
 
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test_webcam.py .                                                        [100%]
 
−
 
−
============================== 2 passed in 3.87s ===============================
 
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</source>
 
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=== Preview ===
 
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<source lang='python'>
 
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# see https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_gui/py_video_display/py_video_display.html
 
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import numpy as np
 
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import cv2
 
−
 
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cap = cv2.VideoCapture(0)
 
−
 
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while(True):
 
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    # Capture frame-by-frame
 
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    ret, frame = cap.read()
 
−
 
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    # Our operations on the frame come here
 
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    #gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
 
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    # Display the resulting frame
 
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    cv2.imshow('Camera',frame)
 
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    if cv2.waitKey(1) & 0xFF == ord('q'):
 
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        break
 
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# When everything done, release the capture
 
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cap.release()
 
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cv2.destroyAllWindows()
 
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</source>
 
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start the above code - stop by pressing 'q'
 
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<source lang='bash' hightlight='1'>
 
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python3 preview.py
 
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</source>
 
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[[File:chesspic2019-10-15_1627.png|400px]]
 
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=== Run ===
 
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<source lang='bash'>
 
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./run
 
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</source>
 
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[[File:CV_ChessStep1.png|240px]]
 
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[[File:CV_ChessStep2.png|240px]]
 
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[[File:CV_ChessStep3.png|240px]]
 
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[[File:CV_ChessStep4.png|240px]]
 
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[[File:CV_ChessStep5.png|240px]]
 
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[[File:CV_ChessStep6.png|240px]]
 
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[[File:CV_ChessStep7.png|240px]]
 
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[[File:CV_Chess_Identified.png|400px]]
 
−
=== 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
 
−
 
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=== Code Structure ===
 
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Click classes to view source code
 
−
 
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<uml>
 
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  hide circle
 
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  class ChessEng [[https://github.com/WolfgangFahl/ESE205-CVChess/blob/master/ChessEng.py]] {
 
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    updateMove(move)
 
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    feedToAI()
 
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  }
 
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  class Board [[https://github.com/WolfgangFahl/ESE205-CVChess/blob/master/Board.py]] {
 
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    draw(image)
 
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    assignState()
 
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    determineChanges(previous,current)
 
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  }
 
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  class Game [[https://github.com/WolfgangFahl/ESE205-CVChess/blob/master/Game.py]] {
 
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    setUp()
 
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    analyzeBoard()
 
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    checkBoardIsSet()
 
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    playerMove()
 
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    playerPromotion()   
 
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    CPUMove()
 
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    updateCurrent()
 
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  }
 
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  class Camera [[https://github.com/WolfgangFahl/ESE205-CVChess/blob/master/Camera.py]] {
 
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    takePicture()
 
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  }
 
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  class Square [[https://github.com/WolfgangFahl/ESE205-CVChess/blob/master/Square.py]]{
 
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    draw(image,color,thickness)
 
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    drawROI(image,color,thickness)
 
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    roiColor(image)
 
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    classify(image)
 
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  }
 
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  class board_Recognition [[https://github.com/WolfgangFahl/ESE205-CVChess/blob/master/board_Recognition.py]]{
 
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    initialize_Board()
 
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    clean_Image(image)
 
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    initialize_mask(adaptiveThresh,img)
 
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    findEdges(image)
 
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    findLines(edges,colorEdges)
 
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    findCorners(horizontal,vertical,colorEdges)
 
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    findSquares(corners,colorEdges)
 
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  }
 
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  class Line [[https://github.com/WolfgangFahl/ESE205-CVChess/blob/master/Line.py]] {
 
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    find_intersection(other)
 
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  }
 
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  class Application [[https://github.com/WolfgangFahl/ESE205-CVChess/blob/master/OOPGUI.py]]{
 
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    StartGamePage(tk.Frame)
 
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    InitializeBoardPage(tk.Frame)
 
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    ChooseColorPage(tk.Frame)
 
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    SetBoardPage(tk.Frame)
 
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    PlayerMovePage(tk.Frame)
 
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    CPUMovePage(tk.Frame)
 
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    CheckPage(tk.Frame)
 
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    CPUMoveErrorPage(tk.Frame)
 
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    PlayerMoveErrorPage(tk.Frame)
 
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    GameOverPage(tk.Frame)
 
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    ChooseDifficultyPage(tk.Frame)
 
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    ChoosePromotionPage(tk.Frame)
 
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  }
 
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  Application -- "1 game" Game
 
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  Game -- "1 camera" Camera
 
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  Game -- "1 chessEngine" ChessEng
 
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  Game -- "1 board" Board
 
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  Game -- "1 boardRec" board_Recognition
 
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  board_Recognition -- "1 camera" Camera
 
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  Board -- "n squares" Square
 
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  board_Recognition -- "n lines" Line
 
−
 
 
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</uml>
 
−
=== Issues ===
 
−
see also https://github.com/rjgoodloe/ESE205-CVChess/issues
 
−
 
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[[File:CV_ChessDetection.png|800px]]
 
−
 
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The board detection algorithm does not make sure that squares are really squares.
 
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== play-chess-with-a-webcam ==
 
−
* http://blogdugas.net/blog/2015/05/18/play-chess-with-a-webcam
 
−
see github fork at
 
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* https://github.com/WolfgangFahl/play-chess-with-a-webcam
 
−
 
−
Written in python2 migrated to python3.
 
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=== Code Structure ===
 
−
<uml>
 
−
hide circle
 
−
class ArenaQuit
 
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Exception <|-- ArenaQuit
 
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class Args
 
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class BadImage
 
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BadImage --|> Exception
 
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class BadSegmentation
 
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BadSegmentation --|> Exception
 
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class BoardFinder {
 
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  getDominatorOffset()
 
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  updateImage(inFrame)
 
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  DetectBoardOrientation()
 
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  GetChessBoardCoordinates(rotation)
 
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  LineCrossingDetection()
 
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  GetFullImageBoard(rectCoordinates=None, rotations=None)
 
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  _getBlackMaxSide(colorImage)
 
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  rotateImage(image)
 
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}
 
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class CannotBuildStateException
 
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CannotBuildStateException --|> Exception
 
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class Cell
 
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class ChessCam {
 
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  getNextMove()
 
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  getDominatorOffset()
 
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}
 
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class GameEngine
 
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class InputManager
 
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class MovementDetector
 
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class RejectedMove
 
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class State
 
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class StateDetector
 
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class Uci
 
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class UserExit
 
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class Video
 
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ChessCam -- BoardFinder
 
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BoardFinder -- Video
 
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ChessCam -- MovementDetector
 
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MovementDetector - StateDetector
 
−
</uml>
 
−
 
−
= UCI compatible GUIs =
 
−
== XBoard ==
 
−
<source lang='bash'>
 
−
sudo apt-get install xboard polyglot stockfish
 
−
xboard -fUCI -fcp stockfish -sUCI -scp stockfish
 
−
</source>
 
−
[[File:XBoard2019-10-19.png|400px]]
 
−
 
−
= Open Source Projects =
 
−
* https://classes.engineering.wustl.edu/ese205/core/index.php?title=CV_Chess
 
−
* https://github.com/swenae/chesscam
 
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* https://github.com/Rr9/ChessStory
 
−
* https://github.com/FabioBCI/pyChess
 
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* http://www.romanmueller.de/chesscamera
 
−
* https://github.com/TheKrystek/ChessCam
 
−
* https://gitlab.fing.edu.uy/aricca/chessTrack
 
−
 
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= Commercial =
 
−
* http://webcamchess.fr/
 
−
 
−
= Links =
 
−
* https://en.wikipedia.org/wiki/Universal_Chess_Interface
 
−
* https://buildmedia.readthedocs.org/media/pdf/python-chess/
 
−
* https://en.chessbase.com/post/how-to-build-your-own-usb-electronic-che-board
 
−
* https://www.raspberrypi.org/magpi/chess-board-raspberry-pi/
 
−
* https://codereview.stackexchange.com/questions/220915/python-chess-game
 
−
* https://hobbylark.com/board-games/Top-5-Free-Chess-GUIs-for-UCI-Engines
 
−
* https://www.chessprogramming.org
 
−
* https://www.chessprogramming.org/UCI
 
−
* https://www.chessprogramming.org/Piece_Recognition
 
−
* https://stackoverflow.com/questions/27520991/opencv-best-way-to-detect-corners-on-chessboard
 
−
* https://stackoverflow.com/questions/5906170/detecting-chess-moves-from-successive-image-differences-using-opencv-tools
 
−
* http://www.nandanbanerjee.com/index.php?option=com_content&view=article&id=71:buttercup-chess-robot&catid=78&Itemid=470
 
−
* https://chess.stackexchange.com/questions/4695/tools-for-automated-notation-webcam-movie-to-pgn/4751#4751
 
−
* http://cs.uef.fi/~franti/chesscam/
 
−
* https://www.fide.com/contacts
 
−
* https://www.kickstarter.com/projects/infivention/square-off-worlds-smartest-chess-board-relaunched
 
−
* https://www.heise.de/make/projekte/ChessCamera-Schachcomputer-mit-Bilderkennung-2170835.html
 
−
* http://usbchessboard.yolasite.com/
 
−
* https://en.chessbase.com/post/you-built-what-a-giant-robotic-chess-set
 
−
* https://ieeexplore.ieee.org/abstract/document/6727033
 
−
* http://wiki.ros.org/tuw_checkerboard
 
−
 
−
= Videos =
 
−
<youtube>jpTSOkZURWk</youtube>
 
−
<youtube>qbpO1hS_rPE</youtube>
 
−
<youtube>WYtYjKqd0_w</youtube>
 
−
<youtube>APkoE1UDKj0</youtube>
 
−
<youtube>B0iC4IBW2IM</youtube>
 
−
<youtube>_tnWQCPmdgw</youtube>
 
−
<youtube>kONz-gURM88</youtube>
 
−
<youtube>UpU4G4itgOQ</youtube>
 
−
<youtube>AQLOj-TylGg</youtube>
 
−
<youtube>RkvNJ3yiIrk</youtube>
 
 
[[Category:Raspberry]]
 
[[Category:Raspberry]]
 +
[[Category:Chess]]

Latest revision as of 07:25, 28 October 2019

Chessboard Move Recorder

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

Motivation

see MagneticSensorChessBoard1987

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

  1. PlayChessWithAWebCam
  2. CV_Chess

UCI compatible GUIs

XBoard

see XBoard

Open Source Projects

Commercial

Links

Research

see also

Stackexchange

Videos

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