def __init__(self, boardsize):
self.boardsize = boardsize
self.mask = dict()
self.config = dict()
self.boardRecognizer = BoardRecognizer()
self.pieceRecognizer = PieceRecognizer(self.boardsize)
def getBoardState(self):
recognizer = BoardRecognizer(0)
try:
board = recognizer.getBoardState()
return board
except Exception as e:
print "An error occured"
print e
def getBoardState(self):
recognizer = BoardRecognizer(0)
try:
board = recognizer.getBoardState()
return board
except Exception as e:
print "An error occured"
print e
def test(self):
full_path = os.path.realpath(__file__)
path, filename = os.path.split(full_path)
recognizer = BoardRecognizer(path + '/tests/test-1.avi')
while True:
print recognizer.getBoardState()
if cv2.waitKey(10) == ord('q'):
break
def test(self):
full_path = os.path.realpath(__file__)
path, filename = os.path.split(full_path)
recognizer = BoardRecognizer(path + '/tests/test-1.avi')
while True:
print recognizer.getBoardState()
if cv2.waitKey(10) == ord('q'):
break
class Recognizer:
def __init__(self, boardsize):
self.boardsize = boardsize
self.mask = dict()
self.config = dict()
self.boardRecognizer = BoardRecognizer()
self.pieceRecognizer = PieceRecognizer(self.boardsize)
def initcapture(self, n):
cap = cv2.VideoCapture(n)
# This settings are to always set webcam resolution to maximum
cap.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH, 2000)
cap.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, 2000)
print "Capturing from: {}".format(n)
print "Frame Size: ", cap.get(3), "x", cap.get(4)
self.cap = cap
return cap.isOpened()
def initrefdata(self, path):
file = open(path, 'r')
refdata = yaml.load(file.read())
self.refBoard = refdata['board']
print "Ref data:"
print refdata
def endcapture(self):
self.cap.release()
def setconfig(self, config):
self.config = config
self.boardRecognizer.setmask(config['mask'])
def getconfig(self):
return self.config
def getframe(self):
_, frame = self.cap.read()
return frame
def getboardstate(self, frame):
self.frame = frame
boardfound, self.board = self.boardRecognizer.processframe(frame)
if boardfound:
self.pieceRecognizer.findpiecesonboard(self.board)
return self.pieceRecognizer.board_representation