[FIXED] How to load data from a downloaded tar.gz file in tensorflow/keras?

Issue

Tensorflow datasets or tfds automatically starts downloading the data I want. I have cifar10 downloaded in my system. I can directly load the data in pytorch using: torchvision.datasets.CIFAR10('path/to/directory',...,download=False)

Is there a tensorflow or keras equivalent of this?

Solution

I think that the best you can do is first extract the tar file:

import tarfile

if fname.endswith("tar.gz"):
    tar = tarfile.open(fname, "r:gz")
    tar.extractall()
    tar.close()
elif fname.endswith("tar"):
    tar = tarfile.open(fname, "r:")
    tar.extractall()
    tar.close()

and then access to the model data and load it using keras:

https://www.tensorflow.org/api_docs/python/tf/keras/models/load_model

Answered By - Cristian Zumelzu