# Running pose estimation on the SWC HPC system

## Overview
This course will briefly introduce the SWC HPC system and then cover how to run pose estimation at scale on the HPC.

## Prerequisites
This course will teach HPC usage using video behavioural analysis as an example workflow. Ideally, students should have 
an understanding of pose estimation tools, e.g. by attending the [Video-based analysis of animal behaviour](./video-analysis) course.

Students should bring their own laptop with Python installed. They should also possess
an SWC username and password and be able to 
[log into the SWC's HPC cluster](https://wiki.ucl.ac.uk/display/SSC/Logging+into+the+Cluster).
If you require any assistance, please contact
<a href="mailto:adam.tyson@ucl.ac.uk?subject=SWC/GCNU Software Skills">Adam Tyson</a> in advance of the course.

## Instructors
* [Adam Tyson](https://github.com/adamltyson)
* [Niko Sirmpilatze ](https://github.com/niksirbi)
* [Laura Porta](https://github.com/lauraporta)


## Materials
* [Slides](https://neuroinformatics.dev/course-behaviour-hpc)
* [GitHub repository](https://github.com/neuroinformatics-unit/course-behaviour-hpc)