PIL_Image—OpenCV_Image转换

PIL.Image转换成OpenCV格式：

import cv2  
from PIL import Image  
import numpy  

image = Image.open("plane.jpg")  
image.show()  
img = cv2.cvtColor(numpy.asarray(image),cv2.COLOR_RGB2BGR)  
cv2.imshow("OpenCV",img)  
cv2.waitKey()
cv2.destroyAllWindows()

OpenCV转换成PIL.Image格式：

import cv2  
from PIL import Image  
import numpy  

img = cv2.imread("plane.jpg")  
cv2.imshow("OpenCV",img)  
image = Image.fromarray(cv2.cvtColor(img,cv2.COLOR_BGR2RGB))  
image.show()  
cv2.waitKey()
cv2.destroyAllWindows()

像素遍历（代码有问题，跑不通，望各位不吝赐教）

import numpy as np
from PIL import Image



def inverse3(img):
    w,h= img.size
    for x in range(w):
        for y in range(h):
            pix = img.getpixel((x, y))
            R = 255 - pix[0]
            G = 255 - pix[1]
            B = 255 - pix[2]
            img.putpixel((x, y),(R,G,B))
    return img


def inverse4(img):
    w, h = img.size
    pixels = img.load()
    print('pixels',type(pixels)) # <class 'PixelAccess'>
    for x in range(w):
        for y in range(h):
            R = 255 - pixels[x, y][0]
            G = 255 - pixels[x, y][1]
            B = 255 - pixels[x, y][2]
            pixels[x, y] = (R,G,B)
    return pixels


def inverse5(img):
    source = img.split()
    R, G, B = 0, 1, 2
    source[R].point(lambda i: 255-i)
    source[G].point(lambda i: 255-i)
    source[B].point(lambda i: 255-i)
    img = Image.merge(img.mode, source)
    return img


def inverse6(img):
    w, h = img.size
    pixels = list(img.getdata()) #[(224,232,125),(169,148,245)...]
    imgNew = Image.new("RGB", (w,h))
    imgNew.putdata(data=pixels)
    imgNew.show()
    return imgNew


if __name__ == '__main__':
    imgpath = r'C:\Users\SongpingWang\Desktop\piaoju\201920100013253001_30302_01.jpg'
    image = cv2.imread(imgpath)
    # 考虑到需要使用opencv里的算法，所以用opencv打开图片，不过这里暂时没用到。
    image= cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
    imagePIL = Image.fromarray(image)
    
    inverse3(imagePIL)
    inverse4(imagePIL)
    inverse5(imagePIL)
    inverse6(imagePIL)

​