velhacv2.py

#cut image staying just the field choosed
def getField(coord, frame):
    crop_img = frame[coord[0]:coord[1], coord[2]:coord[3]]
    return crop_img

#find X and/or O with color detection in cut image
def getContoursHSV(img):
    mask = cv2.inRange(cv2.cvtColor(img, cv2.COLOR_BGR2HSV), CARD_COLOR_LOW, CARD_COLOR_UP)
    if len(mask) > 0:
        dilation = cv2.dilate(mask,KERNEL,iterations = 2)
        cnt = findBiggestContour(dilation)
        return cnt
    else:
        return False