Python中的imread()函数用法说明

# -*- 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()

# -*-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()

# -*-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()

# -*-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()

# -*-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)

#cv2识别中文路径
def cv2_imread(img_path):
  cv_img=cv2.imdecode(np.fromfile(img_path, dtype=np.uint8), -1)
  return cv_img
img_y = cv2_imread('E:/哈哈/' + str(number) + '.jpg')
#这个是存储到带有中文路径的文件里面，其中有图像质量的模糊度
cv2.imencode('.jpg', img,[int(cv2.IMWRITE_JPEG_QUALITY),
 random.unifORM(30, 50)])[1].tofile("E:/哈哈/" 
+ str(xuhao) + ".jpg")