Metadata-Version: 2.1
Name: ocgan
Version: 1.0
Summary: Tensorflow implementation of OCGAN
Home-page: https://github.com/nuclearboy95/Anomaly-Detection-OCGAN-tensorflow
Author: Jihun Yi
Author-email: t080205@gmail.com
License: MIT
Platform: UNKNOWN
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: tensorflow-gpu (>=1.12.0)
Requires-Dist: matplotlib
Requires-Dist: tqdm

# Tensorflow Implementation of OCGAN
This repository provides a [Tensorflow](https://www.tensorflow.org/) implementation of the *OCGAN* presented in
CVPR 2019 paper "[OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations](http://openaccess.thecvf.com/content_CVPR_2019/papers/Perera_OCGAN_One-Class_Novelty_Detection_Using_GANs_With_Constrained_Latent_Representations_CVPR_2019_paper.pdf)".

The author's implementation of *OCGAN* in MXNet is at [here](https://github.com/PramuPerera/OCGAN).


## Installation
This code is written in `Python 3.5` and tested with `Tensorflow 1.13`.

Install using pip or clone this repository.

1. Installation using pip:
```bash
pip install ocgan
```

and

```python
from ocgan import OCGAN
```

2. Clone this repository:

```bash
git clone https://github.com/nuclearboy95/Deep-SVDD-Tensorflow.git
```


