How do i load images dataset using tf.keras.utils.get_file

I;m working with cifar-10 dataset and i need the dataset available publicly, so i pushed it to gitlab. i want to load this dataset in my code, after some digging i found an example where they used tf.keras.utils.get_file() which looked perfect but when i try to load my dataset i get a NotADirectoryError. but it loads just fine with the example i found online which is confusing, can someone please explain why it wouldn't work for my dataset?

here's the example i found that works, the is_dir() returns true

import pathlib data_root_orig = tf.keras.utils.get_file( 'flower_photos',') data_root = pathlib.Path(data_root_orig) print(data_root.is_dir() ) 

here's my dataset I'm trying to load. Initially throws train_data is not a directory, when i try again it seems to work but is_dir is false and i'm unable to get to the files in my dataset

import pathlib import tensorflow as tf data_root_orig = tf.keras.utils.get_file('train', ' untar=True, archive_format='zip') data_root = pathlib.Path(data_root_orig) print(data_root, type(data_root),data_root.is_dir()) 

3 Answers

# download IMDb movie review dataset import tensorflow as tf dataset = tf.keras.utils.get_file( fname="aclImdb.tar.gz", origin="", extract=True, ) 

//reference:

import tensorflow as tf import pathlib url = ' data_dir = tf.keras.utils.get_file('dataset', url, extract=True) # if url = ' => untar=True data_dir = pathlib.Path(data_dir) image_count = len(list(data_dir.glob('*/*.jpg'))) 

for tensorflow 2 you may find dataset directly in ~/.keras/datasets and use it as you want to

doc tf.keras.utils.get_file

I had the same problem, and I had to take other a slightly different path, you can do as I did and see if it serves you well.. So I uploaded the .zip file in my Google Drive account, mounted it to Colab, and then i used patoolib.extract_archive(zip_file_path, outdir='destination_folder') and continued coding using the images from the destination_folder .. of course you're gonna need to install the library using !pip install patool and then import it using import patoolib.