# pytorch-randaugment
Unofficial PyTorch Reimplementation of AutoAugment and RandAugment.
Code taken from https://github.com/DeepVoltaire/AutoAugment and https://github.com/jizongFox/uda
## How to install:
```bash
pip install randaugment
```
---
## How to use:
```python
from autoaugment import RandAugment, ImageNetPolicy
data = ImageFolder(rootdir, transform=transforms.Compose(
[
transforms.RandomCrop(32, padding=4, fill=128), # fill parameter needs torchvision installed from source
transforms.RandomHorizontalFlip(),
RandAugment(),
#ImageNetPolicy(),
transforms.ToTensor(),
Cutout(size=16), # (https://github.com/uoguelph-mlrg/Cutout/blob/master/util/cutout.py)
transforms.Normalize(...)
])
)
loader = DataLoader(data, ...)
```
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"description": "# pytorch-randaugment\nUnofficial PyTorch Reimplementation of AutoAugment and RandAugment.\n\nCode taken from https://github.com/DeepVoltaire/AutoAugment and https://github.com/jizongFox/uda\n## How to install:\n```bash\npip install randaugment\n```\n---\n\n## How to use:\n```python\nfrom autoaugment import RandAugment, ImageNetPolicy\ndata = ImageFolder(rootdir, transform=transforms.Compose(\n [\n transforms.RandomCrop(32, padding=4, fill=128), # fill parameter needs torchvision installed from source\n transforms.RandomHorizontalFlip(), \n RandAugment(),\n #ImageNetPolicy(),\n transforms.ToTensor(), \n Cutout(size=16), # (https://github.com/uoguelph-mlrg/Cutout/blob/master/util/cutout.py)\n transforms.Normalize(...)\n ])\n)\nloader = DataLoader(data, ...)\n```\n\n\n\n\n",
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