data/dtype/size/shape/len ‘’’
import cv2 as cv import numpy as np
def access_pixes(image): print(image.shape) height = image.shape[0] width = image.shape[1] channels = image.shape[2] print(“width : %s, height : %s, channels : %s”%(width, height, channels)) for row in range(height): for col in range(width): for c in range(channels): pv = image[row, col, c] image[row, col, c] = 255-pv #像素取反 cv.imshow(“pixels_demo”, image)
def create_image(): #多通道修改 ‘’’ img = np.zeros([512, 512, 3], np.uint8) #定义一个三维都是0的矩阵 img[:, :, 0] = np.ones([512, 512])*255 #修改第一个通道（blue通道） cv.imshow(“new image”, img)
#单通道修改 img = np.ones([512, 512, 1], np.uint8) #定义一个一维的单通道矩阵 img = img*127 cv.imshow("new image", img) ''' m1 = np.ones([3, 3], np.uint8) m1.fill(122.83) print(m1) m2 = m1.reshape([1, 9]) print(m2)def inverse(image): dst = cv.bitwise_not(image) #像素取反 cv.imshow(“inverse demo”, dst)
print("----------Hello python-------------") src = cv.imread(“E:/image/lena.jpg”) cv.namedWindow(“input_image”, cv.WINDOW_AUTOSIZE) cv.imshow(“input_image”, src) #显示图片，命名为input_image t1 = cv.getTickCount() inverse(src) t2 = cv.getTickCount() time = (t2-t1)/cv.getTickCount() print(“time : %s ms”%(time*1000)) cv.waitKey(0)
cv.destroyAllWindows()
