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README.md

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# Project Title
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A web application to extract face and object annotations from videos using
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computer vision algorithms for face/object detection/recognition
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### Prerequisites
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On a GNU/Linux Debian Stretch machine install
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* python 2.7
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* docker
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* docker-compose
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### Installing
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Clone git repository on your machine.
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On a console run:
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```
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git clone https://github.com/fedjo/orca.git
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```
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Move into directory 'aat' and build
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docker images
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```
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cd aat
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./docker/build.sh dev
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```
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Then run containers using docker-compose
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```
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docker-compose up -d
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```
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## Running the tests
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## Built With
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* [Python 2.7](https://www.python.org/download/releases/2.7/) - The language used
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* [Django 1.10](https://www.djangoproject.com/) - Python Web framework
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## Contributing
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Please read [CONTRIBUTING.md](https://gist.github.com/PurpleBooth/b24679402957c63ec426) for details on our code of conduct, and the process for submitting pull requests to us.
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## Versioning
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We use [SemVer](http://semver.org/) for versioning. For the versions available, see the [tags on this repository](https://github.com/fedjo/aat/tags).
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## License
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This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details
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**Upload a face database**
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----
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Upload a zip file containing the faces you want to find on videos.

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