# GOL

**Repository Path**: cqfdch/GOL

## Basic Information

- **Project Name**: GOL
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-12-20
- **Last Updated**: 2020-12-20

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# GOL: Generative One-Shot Learning

GOL (short for Generative One-Shot Learning) is a GUI-based framework for generating synthetic training data for complex deep learning algorithms which, based on a so-called one-shot (template) object plus a small set of regularization samples, generates data as Pareto optimal solutions using a set of generalization functions built into a generalization generator.

## 1D GOL
One-dimensional Pareto optimization problem example.

## Autonomous Vision GOL
Multi-dimensional Pareto optimization applied to the problem of generating artificial training images.

## Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Clone the repository:
```bash
$ git clone https://github.com/RovisLab/GOL.git
```

### Prerequisites

Please see individual README.md files for instructions on how to run and install 1D GOL / Autonomous Vision GOL.