Let us load the image we want to classify using this model
.
Mention the path to load the image we want to classify using the model
.
img_path = '/cxldata/dlcourse/lion.jpg'
Resnet50 needs inputs of size (224, 224). So load the image using image.load_img
, pass the img_path
and target_size=(224, 224)
as the input arguments.
img = << your code comes here >>(img_path, target_size=(224, 224))
Now let us view the image we loaded. We shall convert the img
to numpy array and display it using plt.imshow
.
<< your code comes here >>(np.asarray(img))
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