DroneVis: Versatile Computer Vision Library for Drones
This provides a tool for drone developers and researchers to streamline computer vision tasks, but it is incremental as it builds on existing libraries and focuses on a specific platform.
The paper tackles the problem of automating computer vision algorithms on Parrot drones by introducing DroneVis, a versatile Python library that offers a diverse set of features and models, with comprehensive documentation and code available on GitHub.
This paper introduces DroneVis, a novel library designed to automate computer vision algorithms on Parrot drones. DroneVis offers a versatile set of features and provides a diverse range of computer vision tasks along with a variety of models to choose from. Implemented in Python, the library adheres to high-quality code standards, facilitating effortless customization and feature expansion according to user requirements. In addition, comprehensive documentation is provided, encompassing usage guidelines and illustrative use cases. Our documentation, code, and examples are available in https://github.com/ahmedheakl/drone-vis.