效果图:
# coding=GBK
import cv2 as cv
import numpy as np
def creat():
image = np.zeros([400,400,3],np.uint8)#创建三通道的图片 blue green red 初始化为0
image[:,:,0]=np.ones([400,400])*255#第一个通道全部变为一再乘以255
#image[:,:,0]前面不写表示全部的
cv.imshow("hh",image)
cv.waitKey(0)
def picture(image):
print(image.shape)#高 宽 通道
print(image.size)#大小=高*宽*通道
print(type(image))#字节
print(image.dtype)#类型
height=image.shape[0]
width=image.shape[1]
channels=image.shape[2]
for row in range (height):#修改图片
for col in range(width):
for c in range(channels):
pv=image[row,col,c]
image[row,col,c]=255-pv
cv.imwrite("D://demo.jpg",image)#修改后保存
image=cv.imread("D://img.jpg")
cv.imshow("qian",image)
picture(image)
cv.imshow("hou",image)
creat()
cv.waitKey(0)
cv.destroyAllWindows()
也可以调用函数来取反,顺便计算一下时间,前面的要2800多ms,调用函数只需要30ms
# coding=GBK
import cv2 as cv
import numpy as np
def inverse(image):
dst=cv.bitwise_not(image)
cv.imshow("inverse demo",dst)
image=cv.imread("D://img.jpg")
t1=cv.getTickCount()
cv.imshow("qian",image)
inverse(image)#调用库函数
t2=cv.getTickCount()
time=(t2-t1)*1000/cv.getTickFrequency()
print("time: %s ms"%time)#计算时间
cv.waitKey(0)
cv.destroyAllWindows()