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Tensorflow implementation of OCGAN

Project description

# 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 `

  1. Clone this repository:

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

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