How to load an image and show the image using keras?

Question

%matplotlib inline
from keras.preprocessing import image

import matplotlib.pyplot as plt
import numpy as np
img = np.random.rand(224,224,3)
plt.imshow(img)
plt.show()

         


        

Answer 1

This is a image scaling issue. The input to the imshow() expects it to be in the 0-1 range, while you are passing it a [0-255] range input. Try to view it as:

plt.imshow(x/255.)

Answer 2

This question is kind of old, but there is a very comfortable way to display images:

tf.keras.preprocessing.image.array_to_img(image[0]).show()

Your image has to have 3 dimensions (if its in a batch as normally, just take desired_element). Works fine on EagerTensors or numpy arrays.