Raspberry PI Chessboard Camera: Difference between revisions

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= Projects =
= Projects =
== CV_Chess ==
{{Link|target=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:
* https://github.com/WolfgangFahl/ESE205-CVChess/
=== Installation ===
<source lang='bash'>
git clone  https://github.com/WolfgangFahl/ESE205-CVChess/
./installOpenCV
./install
</source>
=== Test ===
<source lang='bash' highlight='1,10'>
./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 ===============================
</source>
=== Preview ===
<source lang='python'>
# 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()
</source>
start the above code - stop by pressing 'q'
<source lang='bash' hightlight='1'>
python3 preview.py
</source>
[[File:chesspic2019-10-15_1627.png|400px]]
=== Run ===
<source lang='bash'>
./run
</source>
[[File:CV_ChessStep1.png|240px]]
[[File:CV_ChessStep2.png|240px]]
[[File:CV_ChessStep3.png|240px]]
[[File:CV_ChessStep4.png|240px]]
[[File:CV_ChessStep5.png|240px]]
[[File:CV_ChessStep6.png|240px]]
[[File:CV_ChessStep7.png|240px]]
[[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
=== Code Structure ===
Click classes to view source code
<uml>
  hide circle
  class ChessEng [[https://github.com/WolfgangFahl/ESE205-CVChess/blob/master/ChessEng.py]] {
    updateMove(move)
    feedToAI()
  }
  class Board [[https://github.com/WolfgangFahl/ESE205-CVChess/blob/master/Board.py]] {
    draw(image)
    assignState()
    determineChanges(previous,current)
  }
  class Game [[https://github.com/WolfgangFahl/ESE205-CVChess/blob/master/Game.py]] {
    setUp()
    analyzeBoard()
    checkBoardIsSet()
    playerMove()
    playerPromotion()   
    CPUMove()
    updateCurrent()
  }
  class Camera [[https://github.com/WolfgangFahl/ESE205-CVChess/blob/master/Camera.py]] {
    takePicture()
  }
  class Square [[https://github.com/WolfgangFahl/ESE205-CVChess/blob/master/Square.py]]{
    draw(image,color,thickness)
    drawROI(image,color,thickness)
    roiColor(image)
    classify(image)
  }
  class board_Recognition [[https://github.com/WolfgangFahl/ESE205-CVChess/blob/master/board_Recognition.py]]{
    initialize_Board()
    clean_Image(image)
    initialize_mask(adaptiveThresh,img)
    findEdges(image)
    findLines(edges,colorEdges)
    findCorners(horizontal,vertical,colorEdges)
    findSquares(corners,colorEdges)
  }
  class Line [[https://github.com/WolfgangFahl/ESE205-CVChess/blob/master/Line.py]] {
    find_intersection(other)
  }
  class Application [[https://github.com/WolfgangFahl/ESE205-CVChess/blob/master/OOPGUI.py]]{
    StartGamePage(tk.Frame)
    InitializeBoardPage(tk.Frame)
    ChooseColorPage(tk.Frame)
    SetBoardPage(tk.Frame)
    PlayerMovePage(tk.Frame)
    CPUMovePage(tk.Frame)
    CheckPage(tk.Frame)
    CPUMoveErrorPage(tk.Frame)
    PlayerMoveErrorPage(tk.Frame)
    GameOverPage(tk.Frame)
    ChooseDifficultyPage(tk.Frame)
    ChoosePromotionPage(tk.Frame)
  }
  Application -- "1 game" Game
  Game -- "1 camera" Camera
  Game -- "1 chessEngine" ChessEng
  Game -- "1 board" Board
  Game -- "1 boardRec" board_Recognition
  board_Recognition -- "1 camera" Camera
  Board -- "n squares" Square
  board_Recognition -- "n lines" Line
 
</uml>
=== Issues ===
see also https://github.com/rjgoodloe/ESE205-CVChess/issues
[[File:CV_ChessDetection.png|800px]]
The board detection algorithm does not make sure that squares are really squares.
== play-chess-with-a-webcam ==
== play-chess-with-a-webcam ==
* http://blogdugas.net/blog/2015/05/18/play-chess-with-a-webcam
* http://blogdugas.net/blog/2015/05/18/play-chess-with-a-webcam

Revision as of 14:59, 21 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 https://www.schachversand-ullrich.de/media/image/d3/fb/c5/Brett-Bundesliga_200x200.jpg Chessboard

Schachversand Ullrich

Wikipedia 25 €
2 https://www.schachversand-ullrich.de/media/image/37/70/16/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

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

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