This repository is the base for the final project of Neural Networks and Computer Vision subjects in AI Master´s at UDIT.

In order to make use of the library, one should just follow the next steps:

1. Clone the project:

  git clone <repo-url>

2. Create a virtual environment en la carpeta del repositorio:

  python -m venv .venv

3. Click on a python file (.py) and check below that the virtual environment is enabled, otherwise run the following command (windows only) :

  .\.venv\Scripts\Activate.ps1

4. Once the environment has been activated, install the library with dependencies, preferably in a Python virtual environment (except for deployment):

  pip install -r requirements.txt

Extra commands:

1. To check cuda version and graphics card:

  nvidia-smi

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When coding, just try to follow the PEP8 style and PEP257 numpy/sphinx notation for docstrings. Any code optimisations are greatly appreciated.

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Any contributions are greatly appreciated. If you have suggestions that would make the project any better, don't hesitate to contribute. Here is a reminder of the steps:

1. Clone the repository:

  git clone <repo-url>

2. Create your branch:

  git checkout -b branchname

3. Implement and test your features.
4. Add changes:

  git add <files-to-add>

5. Commit your changes:

  git commit -m "<feature-description>"

6. Push to the branch:

  git push origin branchname

7. Request a merge when you are ready.

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This very project woulnd't have been possible without:

• UDIT AI Master´s group 1 class

Enjoy the content! 😄

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