具有系统映像的反转掩模快速图形用户界面

import cv2

# 加载掩模文件
mask = cv2.imread('path_to_mask_file.png', cv2.IMREAD_GRAYSCALE)

# 检查掩模是否加载成功
if mask is None:
    print("掩模文件加载失败，请检查路径和文件格式")
else:
    print("掩模文件加载成功")

def update_system_image(image_path, mask_path):
    # 加载系统映像和掩模
    system_image = cv2.imread(image_path)
    mask = cv2.imread(mask_path, cv2.IMREAD_GRAYSCALE)
    
    # 应用掩模
    masked_image = cv2.bitwise_and(system_image, system_image, mask=mask)
    
    # 显示结果
    cv2.imshow('Masked Image', masked_image)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

# 更新系统映像和掩模
update_system_image('path_to_new_image.png', 'path_to_mask_file.png')

import numpy as np

def apply_mask_optimized(image, mask):
    # 使用numpy数组操作优化掩模应用
    masked_image = image.copy()
    masked_image[mask == 0] = 0  # 隐藏掩模外的部分
    return masked_image

# 加载系统映像和掩模
system_image = cv2.imread('path_to_image.png')
mask = cv2.imread('path_to_mask_file.png', cv2.IMREAD_GRAYSCALE)

# 应用优化后的掩模
masked_image = apply_mask_optimized(system_image, mask)

# 显示结果
cv2.imshow('Optimized Masked Image', masked_image)
cv2.waitKey(0)
cv2.destroyAllWindows()