2.几何变换_遮挡
#导入工具包并读入图片
from imutils import * image = imread('test.jpg') show(image) image.shape
# 创建遮挡 mask = np.zeros(image.shape,dtype='uint8') white = (255,255,255) cv2.rectangle(mask, (50,50), (250,350), white, -1) show(mask)
# 对图像遮挡 masked = cv2.bitwise_and(image, mask) show(masked)
# 创建遮挡 mask = np.zeros(image.shape,dtype='uint8') white = (255,255,255) cv2.circle(mask, (150,100), 80, white, -1) show(mask)
# 对图像遮挡 masked = cv2.bitwise_and(image, mask) show(masked)