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:
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Metadata
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Release files for tinyimagenet 0.9.9
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Source distribution (sdist)
| File | Size | Uploaded | |
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| tinyimagenet-0.9.9.tar.gz | 11.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tinyimagenet-0.9.9-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 20.5 kB
Release files / tinyimagenet-0.9.9.tar.gz
| Download URL | tinyimagenet-0.9.9.tar.gz |
|---|---|
| Size | 11.3 kB |
| Tags | Source |
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| Download URL | tinyimagenet-0.9.9-py2.py3-none-any.whl |
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| Size | 9.2 kB |
| Tags | Python 2 Python 3 |
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