imagesearcharea with nonzero x1 and y1

[ghost]

def imagesearcharea(image, x1, y1, x2, y2, precision=0.8, im=None):
    if im is None:
        im = region_grabber(region=(x1, y1, x2, y2))
        if is_retina:
            im.thumbnail((round(im.size[0] * 0.5), round(im.size[1] * 0.5)))
        # im.save('testarea.png') usefull for debugging purposes, this will save the captured region as "testarea.png"

    img_rgb = np.array(im)
    img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)
    template = cv2.imread(image, 0)

    res = cv2.matchTemplate(img_gray, template, cv2.TM_CCOEFF_NORMED)
    min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)
    if max_val < precision:
        return [-1, -1]
    return max_loc

so I tried to speed up the search by specifying the region with nonzero x1 and y1, which, as expected, cuts off left and top of the searched area;
this function returns the "absolute" coordinates (with reference to (0,0))

wouldn't it be better if it returned "relative" coordinates (with reference to (x1,y1))?
max_loc[0] += x1 and max_loc[1] += y1 ? (of course you cannot do that for tuples, it's just to make it clear what I mean)
especially since click_image() expects "relative" coordinates