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Added requirements, and updated readme file
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@@ -16,10 +16,24 @@ This repository contains PyTorch implementation of the following paper: GANomaly | |
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## Prerequisites | ||
1. OS: Linux or MacOS | ||
2. PyTorch v0.3 - For now v0.4 is not supported | ||
3. GPU - Highly recommended | ||
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1. Linux or MacOS | ||
2. Python 3 | ||
3. CPU or GPU + CUDA & CUDNN | ||
2. To install the required modules, run the following: | ||
``` | ||
pip install -R requirements | ||
``` | ||
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## Installation | ||
1. First clone the repository | ||
``` | ||
[email protected]:samet-akcay/ganomaly.git | ||
``` | ||
2. Install PyTorch and torchvision from [https://pytorch.org](https://pytorch.org/) | ||
3. Install the dependencies. | ||
``` | ||
pip install -r requirements.txt | ||
``` | ||
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## Experiment | ||
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``` | ||
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## Reference | ||
[[1] S. Akcay, A. Atapour-Abarghouei, and T. P. Breckon. GANomaly: Semi-SupervisedAnomaly Detection via Adversarial Training. ArXiv e-prints, May 2018.](https://arxiv.org/abs/1805.06725) | ||
[[1] S. Akcay, A. Atapour-Abarghouei, and T. P. Breckon. GANomaly: Semi-SupervisedAnomaly Detection via Adversarial Training. ArXiv e-prints, May 2018.](https://arxiv.org/abs/1805.06725) |
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torch>=0.4.0 | ||
torchvision>=0.2.1 | ||
tqdm>=4.23.4 | ||
visdom>=0.1.8.3 |