ransforms.ToTensor(),
        transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
    ])
    input_tensor = preprocess(img)
    plt.subplot(2,2,i+1)
    plt.imshow(img)
    plt.axis(&#39;off&#39;)

# loading labels
with open(&quot;./data/imagenet_class_index.json&quot;) as json_file:
    d = json.load(json_file)
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