主要步骤

1.生成普通python数组(bytearray(),os.urandom())

2.转换成numpy数组(numpy.array())

3.通过reshape将数组转换到所需的维数

4.以图像的形式显示出来(cv.imshow())

代码

import os

import cv2 as cv

import numpy as np

# Make an array of 120000 random bytes

randomByteArray = bytearray(os.urandom(120000))

# translate into numpy array

flatNumpyArray = np.array(randomByteArray)

# Convert the array to make a 400*300 grayscale image(灰度图像)

grayImage = flatNumpyArray.reshape(300, 400)

# show gray image

cv.imshow("GrayImage", grayImage)

# print image"s array

print(grayImage)

cv.waitKey()

# byte array translate into RGB image

randomByteArray1 = bytearray(os.urandom(360000))

flatNumpyArray1 = np.array(randomByteArray1)

BGRimage = flatNumpyArray1.reshape(300,400,3)

cv.imshow("BGRimage", BGRimage)

cv.waitKey()

cv.destroyAllWindows()

效果

以上这篇python-OpenCV 实现将数组转换成灰度图和彩图就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持云海天教程。