特别注意第三个参数 order，其默认取值为 order=‘C'，表示最后一个维度的元素在reshape时优先重排位置。而order=‘F'时则相反，第一个维度的元素优先重排位置。
import cv2import numpy as np im=cv2.imread('animal007.jpg',cv2.IMREAD_GRAYSCALE)h= 300w= 300patchsize=100d=h*w/patchsize/patchsizeprint d #crop the image to h x wim=np.array(im[: h ,: w ]) #this gets wrong answerim_wrong1=im.reshape((patchsize,patchsize,-1))im_wrong7= im.reshape((patchsize,patchsize,-1),order='F')im_wrong2=im.reshape(( h ,patchsize,-1)).reshape((patchsize,patchsize,-1))im_wrong3=im.reshape((patchsize, w ,-1)).reshape((patchsize,patchsize,-1))im_wrong4= im.reshape(( h ,patchsize,-1),order='F').reshape((patchsize,patchsize,-1))im_wrong5= im.reshape(( h ,patchsize,-1),order='F').reshape((patchsize,patchsize,-1),order='F')im_wrong6= im.reshape((patchsize, w ,-1),order='F').reshape((patchsize,patchsize,-1),order='F') #this only works for h=w, i dont know why im2= im.reshape((patchsize, w ,-1),order='F').reshape((patchsize,patchsize,-1))im2_0=im2[:,:,no]cv2.imwrite('im2_0.jpg',im2_0) no=4;imw=im_wrong1[:,:,no]cv2.imwrite('imw1_0.jpg',imw)imw=im_wrong2[:,:,no]cv2.imwrite('imw2_0.jpg',imw)imw=im_wrong3[:,:,no]cv2.imwrite('imw3_0.jpg',imw)imw=im_wrong4[:,:,no]cv2.imwrite('imw4_0.jpg',imw)imw=im_wrong5[:,:,no]cv2.imwrite('imw5_0.jpg',imw)imw=im_wrong6[:,:,no]cv2.imwrite('imw6_0.jpg',imw)imw=im_wrong7[:,:,no]cv2.imwrite('imw7_0.jpg',imw) 
