NaViT
My implementation of "Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution"
Appreciation
- Lucidrains
- Agorians
Install
pip install navit-torch
Usage
import torch
from navit.main import NaViT
n = NaViT(
image_size = 256,
patch_size = 32,
num_classes = 1000,
dim = 1024,
heads = 16,
mlp_dim=2048,
dropout=0.1,
emb_dropout=0.1,
token_dropout_prob=0.1
)
images = [
[torch.randn(3, 256, 256), torch.randn(3, 128, 128)],
[torch.randn(3, 256, 256), torch.randn(3, 256, 128)],
[torch.randn(3, 64, 256)]
]
preds = n(images)
Architecture
Todo
License
MIT
Citations
@misc{2307.06304,
Author = {Mostafa Dehghani and Basil Mustafa and Josip Djolonga and Jonathan Heek and Matthias Minderer and Mathilde Caron and Andreas Steiner and Joan Puigcerver and Robert Geirhos and Ibrahim Alabdulmohsin and Avital Oliver and Piotr Padlewski and Alexey Gritsenko and Mario Lučić and Neil Houlsby},
Title = {Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution},
Year = {2023},
Eprint = {arXiv:2307.06304},
}
1 maintainer
Metadata
1 maintainer
Release files for navit-torch 0.0.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| navit_torch-0.0.8.tar.gz | 6.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| navit_torch-0.0.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.0 kB
