def testRecognizer(bus, boardsize):
print("Testing my eyesight")
recognizer = Recognizer(boardsize)
board = recognizer.getBoardState()
print board
print "Terminating"
return
def testRecognizer(bus, boardsize):
print("Testing my eyesight")
recognizer = Recognizer(boardsize)
board = recognizer.getBoardState()
print board
print "Terminating"
return
def configurerecognizerwithimage(boardsize, filename):
recognizer = Recognizer(boardsize)
recognizer.setconfig(config['recognizer'])
display = Display()
display.initdisplay()
img = cv2.imread('BoardRecognizer/tests/' + filename + '.png')
recognizer.initrefdata('BoardRecognizer/tests/' + filename + '.yml')
pieces = recognizer.getboardstate(img)
print ''.join(pieces)
checkPieces = []
for row in recognizer.refBoard:
for tile in row:
checkPieces.append(tile)
for i in range(32):
if pieces[i] == checkPieces[i]:
checkPieces[i] = ' '
print 'Recognized:' + ' '.join(pieces)
print 'Reference: ' + ' '.join(checkPieces)
while True:
display.showframe(img)
annotateboard(recognizer.board, recognizer.pieceRecognizer.means,
pieces)
display.showboard(recognizer.board)
key = cv2.waitKey(0)
if key > 0:
break
display.enddisplay()
def configurerecognizerwithimage(boardsize, filename):
recognizer = Recognizer(boardsize)
recognizer.setconfig(config['recognizer'])
display = Display()
display.initdisplay()
img = cv2.imread('BoardRecognizer/tests/' + filename + '.png')
recognizer.initrefdata('BoardRecognizer/tests/' + filename + '.yml')
pieces = recognizer.getboardstate(img)
print ''.join(pieces)
checkPieces = []
for row in recognizer.refBoard:
for tile in row:
checkPieces.append(tile)
for i in range(32):
if pieces[i] == checkPieces[i]:
checkPieces[i] = ' '
print 'Recognized:' + ' '.join(pieces)
print 'Reference: ' + ' '.join(checkPieces)
while True:
display.showframe(img)
annotateboard(recognizer.board, recognizer.pieceRecognizer.means, pieces)
display.showboard(recognizer.board)
key = cv2.waitKey(0)
if key > 0:
break
display.enddisplay()
def saveboard(boardsize, img_path, dest_path):
recognizer = Recognizer(boardsize)
recognizer.setconfig(config['recognizer'])
img = cv2.imread('BoardRecognizer/tests/' + img_path + '.png')
recognizer.initrefdata('BoardRecognizer/tests/' + img_path + '.yml')
recognizer.getboardstate(img)
splitter = BoardSplitter(boardsize)
refBoard = recognizer.refBoard
tiles = splitter.get_tiles(recognizer.board)
for i in range(32):
x = getcol(i)
y = getrow(i)
cv2.imwrite(
dest_path + str(img_path) + ' ' + str(x) + '-' + str(y) + '-' +
str(refBoard[i // 4][i % 4]) + ".jpg", tiles[x][y])
def saveboard(boardsize, img_path, dest_path):
recognizer = Recognizer(boardsize)
recognizer.setconfig(config['recognizer'])
img = cv2.imread('BoardRecognizer/tests/' + img_path + '.png')
recognizer.initrefdata('BoardRecognizer/tests/' + img_path + '.yml')
recognizer.getboardstate(img)
splitter = BoardSplitter(boardsize)
refBoard = recognizer.refBoard
tiles = splitter.get_tiles(recognizer.board)
for i in range(32):
x = getcol(i)
y = getrow(i)
cv2.imwrite(dest_path + str(img_path) + ' ' + str(x) + '-' + str(y) + '-' + str(refBoard[i//4][i%4]) + ".jpg", tiles[x][y])
def getthresholdsfromimg(boardsize, filename):
recognizer = Recognizer(boardsize)
recognizer.setconfig(config['recognizer'])
recognizer.initdisplay()
img = cv2.imread('BoardRecognizer/tests/' + filename + '.png')
recognizer.initrefdata('BoardRecognizer/tests/' + filename + '.yml')
checkPieces = []
for row in recognizer.refBoard:
for tile in row:
checkPieces.append(tile)
_, board = recognizer.boardRecognizer.processframe(img)
means = recognizer.pieceRecognizer.getmeansfromboard(board)
# Browns
means = list(
map(lambda (_, x): x,
filter(lambda (x, _): not iswhite(x, boardsize),
enumerate(means))))
blackthres = 0
whitethres = 255
minempty = 255
maxempty = 0
for i in range(32):
print checkPieces[i] + ": " + str(means[i])
piece = checkPieces[i]
if piece == 'w':
whitethres = means[i] if means[i] < whitethres else whitethres
elif piece == 'b':
blackthres = means[i] if means[i] > blackthres else blackthres
else:
minempty = means[i] if means[i] < minempty else minempty
maxempty = means[i] if means[i] > maxempty else maxempty
print 'blackThres: ' + str(blackthres)
print 'whiteThres: ' + str(whitethres)
print 'Empty: ' + str(minempty) + ' - ' + str(maxempty)
def getthresholdsfromimg(boardsize, filename):
recognizer = Recognizer(boardsize)
recognizer.setconfig(config['recognizer'])
recognizer.initdisplay()
img = cv2.imread('BoardRecognizer/tests/' + filename + '.png')
recognizer.initrefdata('BoardRecognizer/tests/' + filename + '.yml')
checkPieces = []
for row in recognizer.refBoard:
for tile in row:
checkPieces.append(tile)
_, board = recognizer.boardRecognizer.processframe(img)
means = recognizer.pieceRecognizer.getmeansfromboard(board)
# Browns
means = list(
map(lambda (_, x): x,
filter(lambda (x, _): not iswhite(x, boardsize),
enumerate(means)
)
)
)
blackthres = 0
whitethres = 255
minempty = 255
maxempty = 0
for i in range(32):
print checkPieces[i] + ": " + str(means[i])
piece = checkPieces[i]
if piece == 'w':
whitethres = means[i] if means[i] < whitethres else whitethres
elif piece == 'b':
blackthres = means[i] if means[i] > blackthres else blackthres
else:
minempty = means[i] if means[i] < minempty else minempty
maxempty = means[i] if means[i] > maxempty else maxempty
print 'blackThres: '+str(blackthres)
print 'whiteThres: '+str(whitethres)
print 'Empty: '+str(minempty)+' - '+str(maxempty)
def testrecognizer(boardsize, filename):
print("Testing my eyesight")
recognizer = Recognizer(boardsize)
recognizer.setconfig(config['recognizer'])
display = Display()
# Load the test movie
recognizer.initcapture('BoardRecognizer/tests/' + filename + '.avi')
display.initdisplay()
while True:
frame = recognizer.getframe()
print recognizer.getboardstate(frame)
display.showframe(frame)
recognizer.endcapture()
display.enddisplay()
config['recognizer'] = recognizer.getconfig()
def testrecognizer(boardsize, filename):
print("Testing my eyesight")
recognizer = Recognizer(boardsize)
recognizer.setconfig(config['recognizer'])
display = Display()
# Load the test movie
recognizer.initcapture('BoardRecognizer/tests/' + filename + '.avi')
display.initdisplay()
while True:
frame = recognizer.getframe()
print recognizer.getboardstate(frame)
display.showframe(frame)
recognizer.endcapture()
display.enddisplay()
config['recognizer'] = recognizer.getconfig()
