OpenCV：如何找到轮廓/多边形内的颜色？

这是我所拥有的

im = cv2.imread('luffy.jpg')
gray = cv2.cvtColor(im,cv2.COLOR_BGR2GRAY)
ret,thresh = cv2.threshold(gray,127,255,0)

contours,h = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)

for cnt in contours:

    // return color inside of the contour here
    mask = np.zeros(cnt.shape[:2],np.uint8)
    mean = cv2.mean(cant,mask)   // I think this is promising but so far it returns arrays with just zeros. I think its because I used np.zeros above to find the mask....
    moment = cv2.moments(cnt)   //maybe this will help?

我找不到这样的内置 openCV 函数。我想也许你可以用时刻来做到这一点？我怎样才能实现这个目标？

编辑：根据 Zaw Lin 给出的建议解决方案，我有这个输入图像：

和这个输出图像：

这将获取每个轮廓内的平均颜色，并使用该颜色将轮廓绘制到最终图像。

import cv2
import numpy as np
im = cv2.imread('/home/zawlin/test.png')

gray = cv2.cvtColor(im,cv2.COLOR_BGR2GRAY)
contours,h = cv2.findContours(gray,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)

final = np.zeros(im.shape,np.uint8)
mask = np.zeros(gray.shape,np.uint8)

for i in xrange(0,len(contours)):
    mask[...]=0
    cv2.drawContours(mask,contours,i,255,-1)
    cv2.drawContours(final,contours,i,cv2.mean(im,mask),-1)

cv2.imshow('im',im)
cv2.imshow('final',final)
cv2.waitKey(0)