Why CIFAR-10 images are not displayed properly using matplotlib?

Question

From the training set I took a image(\'img\') of size (3,32,32). I have used plt.imshow(img.T). The image is not clear. Now changes I have to make to image(\'img\') to make it m

Answer 1

Following prints 5X5 grid of random Cifar10 images. It isn't blurry, though not perfect either. Any suggestions welcome.

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
from six.moves import cPickle 

f = open('data/cifar10/cifar-10-batches-py/data_batch_1', 'rb')
datadict = cPickle.load(f,encoding='latin1')
f.close()
X = datadict["data"] 
Y = datadict['labels']
X = X.reshape(10000, 3, 32, 32).transpose(0,2,3,1).astype("uint8")
Y = np.array(Y)

#Visualizing CIFAR 10
fig, axes1 = plt.subplots(5,5,figsize=(3,3))
for j in range(5):
    for k in range(5):
        i = np.random.choice(range(len(X)))
        axes1[j][k].set_axis_off()
        axes1[j][k].imshow(X[i:i+1][0])