Add students code

# PI Etat de marche

## Getting started

To make it easy for you to get started with GitLab, here's a list of recommended next steps.

Already a pro? Just edit this README.md and make it your own. Want to make it easy? [Use the template at the bottom](#editing-this-readme)!

## Add your files

- [ ] [Create](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#create-a-file) or [upload](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#upload-a-file) files

- [ ] [Add files using the command line](https://docs.gitlab.com/ee/gitlab-basics/add-file.html#add-a-file-using-the-command-line) or push an existing Git repository with the following command:

```

cd existing_repo

git remote add origin https://labinfo.ing.he-arc.ch/gitlab/igib/pi-master/pi-etat-de-marche.git

git branch -M main

git push -uf origin main

```

## Integrate with your tools

- [ ] [Set up project integrations](https://labinfo.ing.he-arc.ch/gitlab/igib/pi-master/pi-etat-de-marche/-/settings/integrations)

## Collaborate with your team

- [ ] [Invite team members and collaborators](https://docs.gitlab.com/ee/user/project/members/)

- [ ] [Create a new merge request](https://docs.gitlab.com/ee/user/project/merge_requests/creating_merge_requests.html)

- [ ] [Automatically close issues from merge requests](https://docs.gitlab.com/ee/user/project/issues/managing_issues.html#closing-issues-automatically)

- [ ] [Enable merge request approvals](https://docs.gitlab.com/ee/user/project/merge_requests/approvals/)

- [ ] [Set auto-merge](https://docs.gitlab.com/ee/user/project/merge_requests/merge_when_pipeline_succeeds.html)

## Test and Deploy

Use the built-in continuous integration in GitLab.

- [ ] [Get started with GitLab CI/CD](https://docs.gitlab.com/ee/ci/quick_start/index.html)

- [ ] [Analyze your code for known vulnerabilities with Static Application Security Testing (SAST)](https://docs.gitlab.com/ee/user/application_security/sast/)

- [ ] [Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy](https://docs.gitlab.com/ee/topics/autodevops/requirements.html)

- [ ] [Use pull-based deployments for improved Kubernetes management](https://docs.gitlab.com/ee/user/clusters/agent/)

- [ ] [Set up protected environments](https://docs.gitlab.com/ee/ci/environments/protected_environments.html)

***

# Editing this README

When you're ready to make this README your own, just edit this file and use the handy template below (or feel free to structure it however you want - this is just a starting point!). Thanks to [makeareadme.com](https://www.makeareadme.com/) for this template.

## Suggestions for a good README

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# Introduction

PI_ContrHorlo Github project by Quentin Rod, Julien Debray and Zélie Galissot

Each folder contains a readme explaining what it is and how to use it.

# Short presentation

## doc

Documents found that could be useful.

## imageProc

Program that run to the PC to configure the camera and acquire images.

## uc

Code of the Raspberry Pi Pico which generates trigger signal and flashs.

Can be controlled via UART.

## ui

Graphical interface for easy control of the Raspberry Pi Pico. 

This project is based on an open source example available on SVS website (SVCamMiniExample).

It can be used to connect to a camera, configure the camera and acquire images. 

Open CV is compiled with it for image processing.

# Introduction

The modified project is available in the folder **code**. **genicam_example** and **no_genicam_example** are software availables on SVS website.

# Installation

## Install the SDK

The download page is at https://www.svs-vistek.com/en/industrial-cameras/svs-camera-detail.php?id=exo273CGE.

Download in the Software section, SVSCamKit 2.5.9 (Linux x86). Maybe a new version is available and will works. If not available, the compressed file is in this folder

Extract it and go in it.

``` cd SVCapture2Setup_Linux_release ```

A file help to install it. Its names is **Quick User Guide.txt** and available in the folder **SVCamKit**. The instructions presented are the same as those in this document.

```

chmod +x setup.sh

sudo ./setup.sh -i

```

Reboot the computer.

##Install OpenCV

```

sudo apt update

sudo apt install libopencv-dev

sudo ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2

```

## Configure Networks

1. Go to the Network setting

2. In the "Identity" tab, set MTU to 9000

3. In IPv4 tab, check the "Link-Local Only"

# Compilation

1. Go in the folder **PI_ContrHorlo/ImageProc/code**

2. ```make```

# Run executable

1. Connect the camera to the PC

2. ```./imageProc```

The camera is not directly detected, which can take several seconds.

In order to stop the program do CTRL+C. 

# Configuration

- Ubuntu 22.04.4 LTS

- Camera EXO273CGE

- SVSCamKit 2.5.9 Linux

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