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Full compatible drone library to automate computer vision algorithms on parrot drones.
Drone Vision (DroneVis) is a full compatible drone library to automate computer vision algorithms on parrot drones. You can read a detailed documentation of Drone Vision docs.
DroneVis is a cutting-edge drone software library that has been specifically designed for use with the AR. Drone. It has been extensively tested both indoors and outdoors, and offers a wide range of features including adaptability in connecting to the drone, advanced computer vision algorithms, and 3 user-friendly interfaces. This makes it easy for users to take full advantage of the drone's capabilities and control it with simple commands. All of the implemented real-time data, inference, and detection achieve a minimum fps >= 4.5
on an Intel core 8 CPU.
You provide a wide variety of 20+ computer vision and recommends users to the best models in terms of accuracy and speed, whilst giving users the chance to use any model of their choice.
You start controling your drone now with just two commands:
pip install dronevis # install the library
dronevis-gui # run library GUI
Press the start
button to start a demo drone simulation, and run your favourite algorithms with the stream
button.
You can control your drone with our CLI
:
dronevis
Dronevis is built with multiple modes for customizibility. You can view all the options for either runnning our GUI
or CLI
as follows:
dronevis --help
The default mode for running either the CLI or the GUI is the demo
mode. You can alter the mode by providing "real" to --drone
argument.
dronevis --drone=real # cli real drone mode
or for GUI,
dronevis-gui --drone=real # gui real drone mode
Dronevis is developed with an extensive documentation for easier user contributions. You can check our full documentation in here to go more in-depth of how the library is structure and how to contribute your favourite model.
To cite this repository:
@software{drone-vis,
author = {Ahmed Heakl, Fatma Youssef, Abdallah-Elbarkokry},
title = {Dronevis: Full compatible drone library to automate computer vision algorithms on parrot drones},
year = {2023},
url = {github.com/ahmedheakl/drone-vis},
version = {1.3.0}
}
FAQs
Full compatible drone library to automate computer vision algorithms on parrot drones.
We found that dronevis demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
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