velhacv.py

#like the function's name, choose the biggest contour in mask
def findBiggestContour(mask):
    temp_bigger = []
    img1, cont, hier = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
    if len(cont) == 0:
        return False
    for cnt in cont:
        temp_bigger.append(cv2.contourArea(cnt))
    greatest = max(temp_bigger)
    index_big = temp_bigger.index(greatest)
    key = 0
    for cnt in cont:
        if key == index_big:
            return cnt
            break
        key += 1