CODEWITHSUNDEEP
python-3.xnumpyimage-processingcomputer-vision
stats_residue
stats_residue

Reputation: 175

How to remove specific images from CIFAR-10?

I've been trying to remove specific images from the CIFAR-10 train set but have had no luck yet. Hers's what I've tried so far:

        data = tfds.as_numpy(tfds.load(name=FLAGS.dataset, batch_size=-1, data_dir=DATA_DIR))
        inputs = data['train']['image']
        labels = data['train']['label']

        inputs = (inputs/127.5)-1
        inputs = np.delete(inputs, [0, 4, 3, 2])
        labels = np.delete(labels, [0, 4, 3, 2])

I've a list of indices of specific images [0, 4, 3, 2] that I would like to remove. The shape of inputs is (50000, 32, 32, 3) and the shape of labels is (50000,). The above method is simply not working as for some reason the shape of input gets nearly 5x times bigger. I'd appreciate any help here.

Upvotes: 1

Views: 163

Answers (1)

w-m
w-m

Reputation: 11232

The documentation for np.delete says:

axis: int, optional

The axis along which to delete the subarray defined by obj. If axis is None, obj is applied to the flattened array.

So specify the axis of samples when deleting the elements

inputs = np.delete(inputs, [0, 4, 3, 2], axis=0)

Upvotes: 1

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