torchvision-tinyimagenet
Dataset class for PyTorch and the TinyImageNet dataset.
Installation
pip install tinyimagenet
How to use
from tinyimagenet import TinyImageNet
from pathlib import Path
import logging
logging.basicConfig(level=logging.INFO)
split ="val"
dataset = TinyImageNet(Path("~/.torchvision/tinyimagenet/"),split=split)
n = len(dataset)
print(f"TinyImageNet, split {split}, has {n} samples.")
n_samples = 5
print(f"Showing info of {n_samples} samples...")
for i in range(0,n,n//n_samples):
image,klass = dataset[i]
print(f"Sample of class {klass:3d}, image {image}, words {dataset.idx_to_words[klass]}")
You can also check the quickstart notebook to peruse the dataset.
Finally, we also provide some example notebooks that use TinyImageNet with PyTorch models:
