python Opencv 人脸识别

import cv2 as cv import numpy as np def add_demo(m1, m2): dst = cv.add(m1, m2) cv.imshow("add_demo", dst) def subtract_demo(m1, m2): dst = cv.subtract(m1, m2) cv.imshow("subtract_demo", dst) def divide_demo(m1, m2): dst = cv.divide(m1, m2) cv.imshow("divide_demo", dst) def multiply_demo(m1, m2): dst = cv.multiply(m1, m2) cv.imshow("multiply_demo", dst) def logic_demo(m1, m2): #dst = cv.bitwise_and(m1, m2) #dst = cv.bitwise_or(m1, m2) image = cv.imread("D:/vcprojects/images/demo.png") cv.imshow("image1", image) dst = cv.bitwise_not(image) cv.imshow("logic_demo", dst) def contrast_brightness_demo(image, c, b): h, w, ch = image.shape blank = np.zeros([h, w, ch], image.dtype) dst = cv.addWeighted(image, c, blank, 1-c, b) cv.imshow("con-bri-demo", dst) def others(m1, m2): M1, dev1 = cv.meanStdDev(m1) M2, dev2 = cv.meanStdDev(m2) h, w = m1.shape[:2] print(M1) print(M2) print(dev1) print(dev2) img = np.zeros([h, w], np.uint8) m, dev = cv.meanStdDev(img) print(m) print(dev) print("--------- Hello Python ---------") src1 = cv.imread("D:/vcprojects/images/LinuxLogo.jpg") src2 = cv.imread("D:/vcprojects/images/WindowsLogo.jpg") print(src1.shape) print(src2.shape) cv.namedWindow("image1", cv.WINDOW_AUTOSIZE) cv.imshow("image1", src1) cv.imshow("image2", src2) src = cv.imread("D:/vcprojects/images/lena.png") cv.imshow("image2", src) contrast_brightness_demo(src, 1.5, 0) #add_demo(src1, src2) #subtract_demo(src1, src2) #divide_demo(src1, src2) #others(src1, src2) #logic_demo(src1, src2) cv.waitKey(0) cv.destroyAllWindows()