Image Data Generator for images in Numpy array

Question

So I have my images in a numpy array but not in a directory. I have a final numpy array which is a 4d tensor of shape (sample, 48, 48, 1). My goal is to use keras's image data generator to convert them to (sample, 224, 224, 1). Please guide me on how to do it as so far I have seen examples of people using image data generators from the directory where they load actuall images.

I have 4 numpy arrays stored localy train_images.npy, train_labels.npy, test_images.npy and test_labels.npy.

The shape for images in these numpy is (sample, 48, 48, 1) The shape for labels in these numpy is (sample, number of classes) as i have already converted them to keras.utils.np_utils.to_categorical method.

could you include any code you have already tried? why cant you save your images to a directory? — DrBwts
– DrBwts, Commented Oct 11, 2019 at 11:05

Marcin Możejko · Accepted Answer · 2019-10-11 14:37:40Z

11

For this you should use ImageDataGenerator.flow, which takes numpy arrays directly. This replaces the flow_from_directory call, all other code using the generator should be the same.

edited Oct 11, 2019 at 14:37

Marcin Możejko

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answered Oct 11, 2019 at 14:34

Dr. Snoopy

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1 Comment

Muhammad Ibtihaj Tahir Over a year ago

Amazing. Worked like a charm.

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