import numpy as np
import cv2
img = cv2.imread('dataset/mask/00004.png')
img = cv2.resize(img, (128, 128))
GrayImage=cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
ret, thresh2=cv2.threshold(GrayImage,127,255,cv2.THRESH_BINARY_INV)
img = np.array(thresh2)
x, y = img.shape
w = 0
b = 0
for row in range(x):
for col in range(y):
if (img[row][col]) == 0:
w = w+1
else:
b = b+1
rate1 = w/(x*y)
rate2 = b/(x*y)
print("白色占比:", round(rate1*100,2),'%')
print("黑色占比:", round(rate2*100,2),'%')
图像
![图像](https://img-blog.csdnimg.cn/48aac922fdff4db9b14ac6e4a1316839.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBA4p2AWGlhby1YaW5GZWninYA=,size_13,color_FFFFFF,t_70,g_se,x_16)
结果
![结果](https://img-blog.csdnimg.cn/c9d48c5dc4d242fdbc562158039b3e58.png)
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