import cv2
# bitwise operarions are done to perform an operation on a specificpart of the matrix, in ohter word, masks
import numpy as np
img = np.zeros((250,500,3),np.uint8)
img = cv2.rectangle(img,(200,0),(300,100),(255,255,255),-1)
img2 = np.zeros((250,500,3),np.uint8)
img2 = cv2.rectangle(img2,(250,0),(500,250),(255,255,255),-1)
bit_and = cv2.bitwise_and(img2, img)
cv2.imshow('image',img)
cv2.imshow('img2',img2)
cv2.imshow('AND',bit_and)
cv2.waitKey(0)
cv2.destroyAllWidows()
import cv2 as cv
import numpy as np # Python的一种开源的数值计算扩展包
def get_image_info(image): # 获取图像信息的函数
print(type(image)) # 获取其数据类型(n维数组类型)
print(image.shape) # 高度 宽度 通道数
print(image.size) # 总的像素数据（高度 * 宽度 * 通道数）
print(image.dtype) # 每个像素点有3个通道 每个通道占的位数是 无符号的int的8位
pixel_data = np.array(image) # 获取所有像素数据
print(pixel_data)
print("-------Hello World-------")
scr = cv.imread("yuanyuan.jpg")
cv.namedWindow("input image", cv.WINDOW_AUTOSIZE)
cv.imshow("input image", scr)
get_image_info(scr)
# gray = cv.cvtColor(scr, cv.COLOR_BGR2GRAY) # 转化成灰色照片
# cv.imwrite("gao11.png", gray) # 新照片的名字 写入到当前文件夹
cv.waitKey(0)
cv.destroyAllWidows()
