cv2方式：

# -*- coding: UTF-8 -*-

import cv2

"""

cv2模块--图片的读入和显示

"""

image_path="D:/PycharmProjects/imageCut/cutted_images/0.jpg"

img=cv2.imread(image_path)# np.ndarray BGR uint8

cv2.imshow("test_imread",img)# 转为RGB显示

cv2.waitKey()

PIL方式：

# -*-coding: UTF-8 -*-

from PIL import Image

import numpy as np

import matplotlib.pyplot as plt

image_path="D:/PycharmProjects/imageCut/cutted_images/0.jpg"

#PIL

#相关:scipy.misc.imread, scipy.ndimage.imread

#misc.imread 提供可选参数mode，但本质上是调用PIL，具体的模式可以去看srccode或者document

#https://github.com/scipy/scipy/blob/v0.17.1/scipy/misc/pilutil.py

img=Image.open(image_path)

img=np.array(img)# 获得numpy对象, np.ndarray, RGB

#统一使用plt进行显示，不管是plt还是cv2.imshow,在python中只认numpy.array，但是由于cv2.imread 的图片是BGR，cv2.imshow 时相应的换通道显示

plt.imshow(img)

plt.show()

matplotlib.image:

# -*-coding: UTF-8 -*-

from PIL import Image

import numpy as np

import matplotlib.pyplot as plt

import matplotlib.image as mpimg

image_path="D:/PycharmProjects/imageCut/cutted_images/0.jpg"

img=mpimg.imread(image_path)

#统一使用plt进行显示，不管是plt还是cv2.imshow,在python中只认numpy.array，但是由于cv2.imread 的图片是BGR，cv2.imshow 时相应的换通道显示

plt.imshow(img)

plt.show()

skimage.io方式：

# -*-coding: UTF-8 -*-

from PIL import Image

import numpy as np

import matplotlib.pyplot as plt

from skimage import io

image_path="D:/PycharmProjects/imageCut/cutted_images/0.jpg"

#4 skimge

#caffe.io.load_iamge()也是调用的skimage实现的，返回的是0-1 float型数据

img = io.imread(image_path)

#统一使用plt进行显示，不管是plt还是cv2.imshow,在python中只认numpy.array，但是由于cv2.imread 的图片是BGR，cv2.imshow 时相应的换通道显示

plt.imshow(img)

plt.show()

scipy.misc方式：

# -*-coding: UTF-8 -*-

from scipy.misc import imread, imshow, imsave

import matplotlib.pyplot as plt

image_path="D:/PycharmProjects/imageCut/cutted_images/0.jpg"

img = imread(image_path)

# imshow(img) need to set the SCIPY_PIL_IMAGE_VIEWER environment variable to point to the program/executable that can be used to view images on your system

plt.imshow(img)

plt.show()

imsave("D:/PycharmProjects/imageCut/cutted_images/1.jpg",img)