我的第一个问题是，我想在我剪切的图像中逐个像素地查看并计算颜色值，但我得到了以下错误：
属性错误："numpy. ndarray"对象没有属性"width"
我的第二个问题是，例如，当match_masking_color值为255时，该区域变为蓝色，即使我设置阈值并将其转换为二进制图像，它仍保持蓝色。例如，我输入了值255，255，255，但这一次嘴的内部是红色的。我希望嘴是黑色的，脸是白色的，我可以数出这两种颜色的数量。下面是我所说的结果：blue mask1blue mask2red mouth

import cv2
import numpy as np

img = cv2.imread("saskin.jpg")

black_count = 0
white_count = 0

def region_of_interest(image, vertices):
    mask = np.zeros_like(img)
    match_mask_color = 255,255,255
    cv2.fillPoly(mask, vertices, match_mask_color)
    masked_image = cv2.bitwise_and(img, mask)
    return masked_image

while True:
    # ret, frame = cap.read()
    # frame = cv2.flip(frame,1)

    # print(frame. Shape)    # 480,640
    
    ycrbc = cv2.cvtColor(img, cv2.COLOR_BGR2YCrCb)
    
    minYCrCb = np.array([0,140,90],np.uint8)
    maxYCrCb = np.array([230,170,120],np.uint8)
    imgeYCrCb = cv2.cvtColor(img,cv2.COLOR_BGR2YCR_CB)
    skinRegionYCrCb = cv2.inRange(imgeYCrCb,minYCrCb,maxYCrCb)
    skinYCrCb = cv2.bitwise_and(img, img, mask = skinRegionYCrCb)
    median_ycrcb = cv2.medianBlur(skinYCrCb, 3)
    
    _, esik = cv2.threshold(median_ycrcb, 20, 255, cv2.THRESH_BINARY)
    median_binary = cv2.medianBlur(esik, 7)
    
    gray = cv2.cvtColor(median_binary, cv2.COLOR_BGR2GRAY)
    
    contours, hierarchy = cv2.findContours(gray, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)

    areas = [cv2.contourArea(c) for c in contours]
    max_index = np.argmax(areas)
    x,y,w,h = cv2.boundingRect(contours[max_index])
    
    height, width = h, w
    region_of_interest_vertices = [(width/4, 11*height/12), (width/4, 13*height/16), (3*width/4, 13*height/16), (3*width/4, 11*height/12)]
    gray_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    cropped_image = region_of_interest(gray_image, np.array([region_of_interest_vertices], np.int32))
    
    _, agiz = cv2.threshold(cropped_image, 20, 255, cv2.THRESH_BINARY)

    for x in range(agiz.width):
        for y in range(agiz.height):
            pixel = img.getpixel((x, y))
            
            if pixel == (0):
                black_count += 1
                
            elif pixel == (255):
                white_count += 1

    cv2.imshow("ycrbc",ycrbc)
    cv2.imshow("skinYCrCb",median_ycrcb)
    cv2.imshow("binary goruntu", esik)
    cv2.imshow("median_binary", median_binary)
    cv2.imshow("Kesilmiş Görüntü",cropped_image)
    cv2.imshow("agiz", agiz)
    
    if cv2.waitKey(5) & 0xFF == ord("q"):
        break
    
# cap.release()
cv2.destroyAllWindows()

我怎样才能使输出由黑色和白色组成，作为我想要的蒙版的结果？我怎样才能在裁剪图像的像素值内导航？