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<h3 align="center">MEOW- Multi-Objective NeuroEvolution for Weapons Detection</h3>

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## 📝 Table of Contents

- [About](#about)
- [Getting Started](#getting_started)
- [Deployment](#deployment)
- [Usage](#usage)
- [Built Using](#built_using)
- [TODO](../TODO.md)
- [Contributing](../CONTRIBUTING.md)
- [Authors](#authors)
- [Acknowledgments](#acknowledgement)

## 🧐 About <a name = "about"></a>

README annonimised to comply with double-blind review

## 🏁 Getting Started <a name = "getting_started"></a>

Please recreate the conda environment from the `env.txt` file.

### Prerequisites

### Installing

## 🔧 Running the tests <a name = "tests"></a>

Please run `run_mocwd.py` with all necessary parameters explained in `run_mocwd.py` to reproduce the results.

The results exploration after retraining as well as the notebooks we've used to extract the results you see in the paper are present in notebooks/

As well as some of the models.

Ex.
`MEOW-Residuals-Training-MEOW-same as Architecture study- RESULTS.ipynb` contains results for the Residual dataset with some additional details which had to be trimmed for the paper.

`MEOW-SIXRAY-results` contains most of the results for SIXray that we have done.

There are some additional notebooks for the benchmarks and usually we refer to testing State-of-the-art architectures as "architecture study".

All trained models are storred in Google Drive:

xxx (annonimised for double-blind review)

### Break down into end to end tests

### And coding style tests

## 🎈 Usage <a name="usage"></a>

## 🚀 Deployment <a name = "deployment"></a>

## ⛏️ Built Using <a name = "built_using"></a>

## ✍️ Authors <a name = "authors"></a>

## 🎉 Acknowledgements <a name = "acknowledgement"></a>
