Пример #1
0
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
Пример #2
0
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
Пример #3
0
    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