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.

翻译：本文介绍了一种专为Parrot无人机自动化计算机视觉算法设计的新型库——DroneVis。该库提供多功能特性，支持多样化的计算机视觉任务，并包含多种可选模型。该库采用Python实现，遵循高质量代码标准，便于用户根据需求进行定制化修改与功能扩展。此外，我们提供了涵盖使用指南与示例用例的完整文档。相关文档、代码及示例可通过 https://github.com/ahmedheakl/drone-vis 获取。