Overview

Before embarking on this subteam bootcamp, please ensure you’ve completed these instructions: Bootcamper Onboarding

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Setup

Git and GitHub

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1. If you haven’t already, download and install Git: https://git-scm.com/

   1. Git should already be installed on Linux and MacOS.

2. Windows (Linux and MacOS users skip step): Set line endings.

   1. Check: git config --get core.autocrlf

      1. If it is true or input , you do not need to set anything.

   2. Set: git config --global core.autocrlf [setting] .

      1. --global is optional, and replace [setting] with either true or input

      2. When in doubt, use input

   3. Additional information here: https://www.git-scm.com/book/en/v2/Customizing-Git-Git-Configuration#_core_autocrlf

3. Configure Git with your name and email: https://linuxize.com/post/how-to-configure-git-username-and-email/

   • --global if you want to use it as the default, otherwise it will just be for the current repository.

   • You can use your anonymous GitHub no-reply email.

4. Go to GitHub and navigate to your copy of the repository, under your account. Do not go to WARG’s copy of the repository!

5. Click on the green Code button.

6. In the dropdown, you can copy either the HTTPS or SSH link.

   1. Windows and MacOS: Copy the HTTPS link (although you can copy the SSH link if you desire).

   2. Linux: Copy the SSH link.

      1. If you really want to use HTTPS on Linux, you have to install the Git Credential Manager or create a Personal Access Token on GitHub. How to do this is left as an exercise for you.

7. If you’re using the SSH link (HTTPS link users skip this):

   1. If you haven’t already, create a new SSH key and add it to your GitHub account:

      1. https://docs.github.com/en/authentication/connecting-to-github-with-ssh/generating-a-new-ssh-key-and-adding-it-to-the-ssh-agent

      2. If you add a password to your SSH key, you will have to type it in every time you use Git to interact with GitHub (e.g. cloning, pulling, pushing). You can always delete and create a new SSH key if you change your mind later.

      3. https://docs.github.com/en/authentication/connecting-to-github-with-ssh/adding-a-new-ssh-key-to-your-github-account

8. Pick a parent directory to clone (download the code) into.

   1. Example: Cloning in C:\Users\Username\ will create a folder and then populate it: C:\Users\Username\autonomy-bootcamp-2023\[bootcamp files]

9. Open the console in the parent directory.

   1. Windows: Command prompt or Powershell.

   2. Linux and MacOS: Terminal.

10. Clone the repository: git clone [link you copied] , where [link you copied] is the link you copied in step 6.

    1. HTTPS link users: You will be prompted to log into your GitHub account. Do so.

11. Done!

Python and virtual environment

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1. If you haven’t already, download and install Python 3.8: https://www.python.org/

   1. If you already have Python 3.7 or below installed, you must install Python 3.8 (you do not need to uninstall the other version(s)). This is because of a package dependency which requires Python 3.8 or greater.

      1. Python 3.8.10 or later is recommended, otherwise you will have pip issues.

   2. If you have Python 3.9 or above installed, you’re probably fine. Probably. Autonomy code is designed and tested on Python 3.8 so use a different version at your own risk.

2. Open the console in the repository root.

   1. Windows: Use command prompt or PowerShell, not Git bash (the console that gets installed with Git).

   2. Example: C:\Users\Username\autonomy-bootcamp-2023

3. Create a virtual environment called venv by running: [python] -m venv venv/ , where [python] is Python 3.8 (e.g. python , python38 ).

   1. You can check which version of Python it is by running [python] --version

   2. If you move the repository to a different path after creating a virtual environment, you will have to delete the venv directory and repeat this step. Additionally, if your virtual environment breaks for any reason, you can always delete the venv directory and repeat this step for a fresh environment.

   3. If you want to call the virtual environment by a different name, replace venv/ with the name you want. Virtual environments are identified by their path, so different projects with the same venv virtual environment name is fine.

      1. Example: C:\Users\Username\autonomy-bootcamp-2023\venv\ and C:\Users\Username\computer-vision-python\venv\ are different.

4. Activate the virtual environment:

   1. Windows command prompt: venv\Scripts\activate.bat

   2. Windows Powershell: .\venv\Scripts\Activate.ps1

      1. If you get an error with: running scripts is disabled on this system

      2. Run: Set-ExecutionPolicy Unrestricted

      3. This allows you to run any Powershell scripts at will. For more detail: https://learn.microsoft.com/en-us/powershell/module/microsoft.powershell.core/about/about_execution_policies?view=powershell-7.3

   3. Linux and MacOS: source venv/bin/activate

5. You should now see (venv) in the prompt line.

6. Confirm the virtual environment uses Python 3.8: python --version

   1. Literally use python , none of the fancy stuff above.

   2. Example output: Python 3.8.10

7. Open requirements.txt

   1. MacOS: Remove +cu117 from both torch and torchvision

   2. Windows and Linux:

      1. If you have a CUDA capable GPU but don’t want to use it for some reason, change +cu117 to +cpu for both torch and torchvision

      2. If you don’t have a CUDA capable GPU, don’t change anything.

8. Download and install required packages: pip install -r requirements.txt

   1. This will install in your virtual environment under venv . The rest of your system is unaffected.

9. Done!

Directory

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Do not import any additional libraries. The bootcamp is completable as is.

Development

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Optionally, you can also create new branches if you want to be more organized. You can search for git branch information online.

Windows Subsystem for Linux (WSL)

We do not recommend using WSL at this time because of several environment issues. You are free to make the attempt if you’re willing to encounter them (and if you solve them, please tell us). All Autonomy projects are currently cross platform so using Windows is perfectly fine.

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This may not be necessary depending on whether you have WSLg already.

Submission and pull request

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1. Navigate to WARG’s copy of the repository: https://github.com/UWARG/autonomy-bootcamp-2023

2. At the top, click Pull requests.

3. To the right, click the green New pull request button.

4. Under Compare changes, click the “compare across forks” link.

5. The 3rd from the left: Click the head repository dropdown and select your repository (you can search for your username).

6. The 4th from the left: Click the compare dropdown and select the branch you want to submit.

   1. Do not open more than 1 pull request! The branch you select should contain (or eventually contain) all tasks which will be reviewed.

   2. Once you have an open PR, you can keep updating the same branch as you get feedback. You do not need to open another PR.

7. Click on the green Create pull request button.

8. Once you have an open PR and are ready for review, go to your Discord bootcamp thread and send this message: @Autonomy Lead My PR for the bootcamp is ready: [link to your PR on GitHub] .

   1. The @Autonomy Lead ping is bright pink.

9. The Autonomy Leads and/or bootcamp maintainers will review your PR (a message will be sent on Discord, and the comments will be on GitHub).

10. Read the feedback and go back to development. If any of the feedback is unclear or confusing, don’t hesitate to ask for clarification (make sure to send a message on Discord as well for visibility (e.g. I asked some questions as replies on GitHub ).

    1. Please do not resolve any of the comments that the reviewers may leave! It causes confusion for the reviewers since they use the resolved/unresolved state to confirm that the code meets the quality to their satisfaction. Instead, you can use a reaction or respond to the comment for your own tracking purposes.

    2. If you are ready for another review, repeat step 8 (you do not need to open a new PR).

11. Once your review is fully complete and you’re done with the bootcamp please follow the steps in New Member Onboarding to onboard to the team.

Tasks

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Task 1: Implementing ML inference

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Task 2: Running the simulator

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Task 3: Making the drone move to and land at a waypoint

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Task 4: Putting it all together

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