需要将图像蒙版(多边形)输入到网格中，并获取多边形覆盖的网格混合像素的百分比

import cv2
import numpy as np

def calculate_mask_percentage(image_path, polygon_points):
    # 读取图像
    image = cv2.imread(image_path)
    height, width, _ = image.shape
    
    # 创建空白蒙版
    mask = np.zeros((height, width), dtype=np.uint8)
    
    # 绘制多边形蒙版
    cv2.fillPoly(mask, [np.array(polygon_points)], 255)
    
    # 将蒙版应用到图像上
    masked_image = cv2.bitwise_and(image, image, mask=mask)
    
    # 计算混合像素百分比
    total_pixels = height * width
    covered_pixels = np.sum(mask == 255)
    percentage = (covered_pixels / total_pixels) * 100
    
    return percentage

# 示例多边形顶点
polygon_points = [(100, 100), (200, 50), (300, 100), (250, 200), (150, 200)]

# 计算百分比
percentage = calculate_mask_percentage('path_to_your_image.jpg', polygon_points)
print(f"多边形覆盖的网格混合像素百分比: {percentage:.2f}%")