#encoding=utf8
from PIL import Image
import numpy as np
import cv2
import matplotlib.pyplot as plt # plt 用于顯示圖片
import matplotlib.image as mpimg # mpimg 用于讀取圖片
import skimage
import sys
from skimage import io 

#PIL
#相關(guān):scipy.misc.imread, scipy.ndimage.imread
#misc.imread 提供可選參數(shù)mode，但本質(zhì)上是調(diào)用PIL，具體的模式可以去看srccode或者document
#https://github.com/scipy/scipy/blob/v0.17.1/scipy/misc/pilutil.py
imagepath='test1.jpg'
im1=Image.open(imagepath)
im1=np.array(im1)#獲得numpy對象,RGB
print(type(im1))
print(im1.shape)

#2 opencv 
im2=cv2.imread(imagepath)
print(type(im2))#numpy BGR
print(im2.shape)#[width,height,3]

#3 matplotlib 類似matlab的方式
im3 = mpimg.imread(imagepath)
print(type(im3))#np.array
print(im3.shape)

#4 skimge 
#caffe.io.load_iamge()也是調(diào)用的skimage實現(xiàn)的，返回的是0-1 float型數(shù)據(jù)
im4 = io.imread(imagepath)
print(type(im4))#np.array
print(im4.shape)
#print(im4)


# cv2.imshow('test',im4)
# cv2.waitKey()
#統(tǒng)一使用plt進(jìn)行顯示，不管是plt還是cv2.imshow,在python中只認(rèn)numpy.array，但是由于cv2.imread 的圖片是BGR，cv2.imshow 時相應(yīng)的換通道顯示
plt.subplot(221)
plt.title('PIL read')
plt.imshow(im1)
plt.subplot(222)
plt.title('opencv read')
plt.imshow(im2)
plt.subplot(223)
plt.title('matplotlib read')
plt.imshow(im3)
plt.subplot(224)
plt.title('skimage read')
plt.imshow(im4)
#plt.axis('off') # 不顯示坐標(biāo)軸
plt.show()

##################################### cmd output################################
# class 'numpy.ndarray'>
# (851, 1279, 3)
# class 'numpy.ndarray'>
# (851, 1279, 3)
# class 'numpy.ndarray'>
# (851, 1279, 3)
# class 'numpy.ndarray'>
# (851, 1279, 3)