Search Results for "linux-tools"

...The processing pipeline integrates specialized open-source projects for reconstruction, meshing, geospatial conversion, and point-cloud processing. ODM runs on Windows, macOS, and Linux and is commonly deployed through Docker. GPU acceleration is available for selected feature-extraction workloads. NodeODM can expose the processing engine over a network for integration with other applications.

WebODM is an open-source, user-friendly application for processing aerial imagery into mapping and 3D products. It can generate georeferenced maps, point clouds, elevation models, textured 3D models, and Gaussian splats. Its interface is designed to make photogrammetry workflows accessible without requiring direct command-line operation. Processing can be handled by several supported engines, including ODX, MicMac, and LGT. The current project has formally separated from OpenDroneMap and no...

pilottai is an AI-based autonomous drone navigation system utilizing reinforcement learning for real-time decision-making. It is designed for simulating and training drones to fly safely through dynamic environments using AI-based controllers.

Flask RESTful Example is a practical Python backend reference showing how to build production-style APIs with Flask. It covers application configuration, standardized responses, logging, database access, authentication, background tasks, and deployment. MySQL and Redis examples demonstrate relational storage and caching workflows. Authentication examples include JWT, mobile verification codes, and WeChat-based login scenarios. Reporting modules generate Excel, Word, PDF, and hierarchical...

...Its interface is modeled after Metasploit to provide a familiar module-oriented workflow for security researchers. The framework gathers drone-specific assessment techniques and security modules in one console. Individual modules activate only when their required external tools and dependencies are available. Its architecture is built on the SploitKit framework and can be extended with additional modules. The project has been presented as a drone penetration-testing research platform at security conferences. Because its capabilities can affect real devices and networks, it is appropriate only for systems covered by explicit testing authorization.

Gym-PyBullet-Drones is an open-source Gym-compatible environment for training and evaluating reinforcement learning agents on drone control and swarm robotics tasks. It leverages the PyBullet physics engine to simulate quadrotors and provides a platform for studying control, navigation, and coordination of single and multiple drones in 3D space.

The PS-Drone-API is a full featured SDK, written in and for Python, for Parrot's AR.Drone 2.0. It was designed to be easy to learn, but it offers the full set of the possibilities of the AR.Drone 2.0, including Sensor-Data (aka NavData), Configuration and full Video-support. The video function is not restricted to mere viewing, it is also possible to analyze video images data using OpenCV2. Obviously, the PS-Drone is perfect for teaching purposes; however, even the requirements for...