def findMove(image, circles):
# Returns the opponent's move.
# convert coordinates to integer
circles = np.round(circles[0, :]).astype("int")
opponentMove = 0
# iterate all circles found
for (x, y, r) in circles:
isMoved = True
# check which region the circle belongs to
if((x >= regions.minX) and (x <= regions.maxX)) and ((y >= regions.minY) and (y <= regions.maxY)):
region = regions.checkRegion(x,y)
else:
break
# iterate all available moves
for move in board.availableMoves():
# if the region hasn't been occupied, take it as the opponent's move
if move + 1 == region:
isMoved = False
break
# do nothing if the region has been occupied before
else:
pass
if not isMoved:
opponentMove = region - 1
isMoved = True
return opponentMove
def findMove(image, circles):
# Returns the move of the opponent.
# convert coordinates to integer
circles = np.round(circles[0, :]).astype("int")
opponentMove = 0
# iterate all circles found
for (x, y, r) in circles:
isMoved = True
# check which region the found circle belongs to
if ((x >= regions.minX) and
(x <= regions.maxX)) and ((y >= regions.minY) and
(y <= regions.maxY)):
region = regions.checkRegion(x, y)
else:
break
# iterate all available moves
for move in board.availableMoves():
# if the region has'nt been occupied, take it as the opponent's move
if move + 1 == region:
isMoved = False
break
# do nothing if the region has been occupied before
else:
pass
if not isMoved:
opponentMove = region - 1
isMoved = True
return opponentMove
circles = cv2.HoughCircles(gray, cv2.cv.CV_HOUGH_GRADIENT, 1.4, 30)
# ensure at least some circles were founds
if circles is not None:
# convert the (x, y) coordinates and radius of the circles to integers
circles = np.round(circles[0, :]).astype("int")
# loop over the (x, y) coordinates and radius of the circles
for (x, y, r) in circles:
# draw the circle in the output image, then draw a rectangle
# corresponding to the center of the circle
cv2.circle(image, (x, y), r, (0, 255, 0), 4)
cv2.rectangle(image, (x - 5, y - 5), (x + 5, y + 5), (0, 128, 255),
-1)
print "Region", regions.checkRegion(x, y)
print "X: ", x, "Y: ", y
# show the output image
fontIndex = 0
#draw all the regions
for i in xrange(regions.totalYintercepts - 1):
for ii in xrange(regions.totalXintercepts - 1):
x1 = regions.xIntercepts()[ii]
x2 = regions.xIntercepts()[ii + 1]
y1 = regions.yIntercepts()[i]
y2 = regions.yIntercepts()[i + 1]
cv2.rectangle(image, (x1, y1), (x2, y2), (0, 255, 0), 2)
fontIndex = fontIndex + 1
