baboon-tracking

This repository contains the state-of-the-art aerial drone background tracking algorithm. This project is sponsored by UCSD Engineers for Exploration.

• baboon-tracking
• Contributing
  • System Requirements
  • Recommended Development Enviornment
  • Development Procedures
  • Commands
    • Chart/Flowchart
    • Code/VSCode
    • Data
    • Decrypt
    • Encrypt
    • Format
    • Lint
    • Run
    • Shell

Contributing

System Requirements

This project has been tested on Ubuntu 18.04, 20.04, 22.04. Other operating systems are compatible through the use of Vagrant.

Windows

To run the project on Windows, please ensure you run the following command in an admin PowerShell

Set-ExecutionPolicy Unrestricted

macOS

Please ensure you have HomeBrew installed.

Linux

To run the project on Linux, please ensure you run the correct command for your distro.

Ubuntu 22.04

sudo apt install -y make build-essential libssl-dev zlib1g-dev libbz2-dev libreadline-dev libsqlite3-dev wget curl llvm libncurses5-dev libncursesw5-dev xz-utils tk-dev libffi-dev liblzma-dev python3-openssl git ffmpeg

Ubuntu 20.04

sudo apt install -y make build-essential libssl-dev zlib1g-dev libbz2-dev libreadline-dev libsqlite3-dev wget curl llvm libncurses5-dev libncursesw5-dev xz-utils tk-dev libffi-dev liblzma-dev python-openssl git ffmpeg

Ubuntu 18.04

sudo apt install -y make build-essential libssl-dev zlib1g-dev libbz2-dev libreadline-dev libsqlite3-dev wget curl llvm libncurses5-dev libncursesw5-dev xz-utils tk-dev libffi-dev liblzma-dev python-openssl git ffmpeg

Recommended Development Enviornment

This repository provides some default configurations for Visual Studio Code. In order for the default configuration to work, it is necessary to run ./cli code at least once. While it is possible to run this project using other tools, these configurations are not supported and YMMV.

Development Procedures

This project leverages a CLI written in Python with bootstrappers for PowerShell and Bash.

It is recommended that as a new contributor to the project, you first run ./cli chart and understand the flow of information through the program.

Commands

Chart/Flowchart

Running ./cli chart or ./cli flowchart will display a chart that shows each step of the execution.

Code/VSCode

Running ./cli code will open the installed instance of Visual Studio Code and ensure that the expected extensions are installed.

Data

Running ./cli data will download the data from the Team's Google Drive.

Decrypt

Running ./cli decrypt will ask for a password for decrypting all files in the encrypted folder. It will use the ENCRYPTION_KEY environment variable as the password if supplied.

Encrypt

Running ./cli encrypt will ask for a password for encrypting all files in the decrypted folder. It will use the ENCRYPTION_KEY environment variable as the password if supplied.

Format

Running ./cli format will use black to automatically format all of the Python scripts.

Lint

Running ./cli lint will run pylint, pyright, and black to check for lint errors.

Run

Running ./cli run will run the algorithm and display the time of each step.

Shell

Running ./cli shell internally runs ./cli install and then opens a shell in the virtual environment.

Docs

Running ./cli docs will generate sphinx docs and copy to the docs folder, where it can be hosted on github pages.