loading an image from cifar-10 dataset

问题:

I am using cifar-10 dataset for my training my classifier. I have downloaded the dataset and tried to display am image from the dataset. I have used the following code:

from six.moves import cPickle as pickle
from  PIL import Image
import numpy as np

f = open('/home/jayanth/udacity/cifar-10-batches-py/data_batch_1', 'rb')

tupled_data= pickle.load(f, encoding='bytes')

f.close()

img = tupled_data[b'data']

single_img = np.array(img[5])

single_img_reshaped = single_img.reshape(32,32,3)

plt.imshow(single_img_reshaped)

the description of data is as follows: Each array stores a 32x32 colour image. The first 1024 entries contain the red channel values, the next 1024 the green, and the final 1024 the blue. The image is stored in row-major order, so that the first 32 entries of the array are the red channel values of the first row of the image.

Is my implementation correct?

the above code gave me the following image:

回答1:

I used

single_img_reshaped = np.transpose(np.reshape(single_img,(3, 32,32)), (1,2,0))

to get the correct format in my program.

回答2:

single_img_reshaped = single_img.reshape(3,32,32).transpose([1, 2, 0])