python-OpenCV 实现将数组转换成灰度图和彩图_Python

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

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									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()