Welcome to the Military-Aircraft-Detection project! This application provides a dashboard for detecting military aircraft using advanced deep learning techniques. With this tool, you can enjoy real-time video inference and rich analytics.
To start using the application, follow the steps below.
-
Visit the Releases Page: Click here to go to the Releases page.
-
Choose Your Version: Look for the latest version, typically at the top of the page. It will often include additional features and fixes.
-
Download the Application: Click on the file that ends in
.exe(for Windows users) or the relevant format for your operating system (like.dmgfor Mac users or a zip file for Linux). -
Run the Application: After downloading, locate the file in your Downloads folder or wherever you saved it. Double-click the file to run the application.
-
Follow On-Screen Instructions: The first time you run the application, your system may prompt you with security checks. Follow any on-screen instructions to approve the application.
- Real-Time Video Inference: Watch aircraft detection capabilities in real-time.
- HUD Simulation: Access a user-friendly Heads-Up Display for tactical management.
- Performance Analytics: Get comprehensive reports on model performance to enhance decision-making.
- User-Focused Design: Experience a simple interface tailored for easy navigation.
To run Military-Aircraft-Detection effectively, ensure your system meets the following minimum requirements:
- Operating System: Windows 10 or later, macOS Mojave or later, Ubuntu 18.04 or later.
- Processor: Dual-core processor minimum, recommended Intel i5 or equivalent.
- RAM: At least 8 GB of RAM.
- Graphics: GPU with at least 2 GB VRAM for optimal performance in video processing.
- Storage: At least 1 GB of free disk space for installation.
-
Launching the Application: After installation, double-click the application icon on your desktop or go to the installation folder and run the executable file.
-
Uploading a Video Feed: You can upload a video file or connect a camera feed for live detection. Use the 'Upload' button located in the main dashboard.
-
Monitor Results: The interface will show detected objects with corresponding data. You'll receive alerts for any identified aircraft.
-
Explore Analytics: Navigate to the analytics section to review performance metrics, including detection accuracy and processing speed.
A: You can upload various video formats, such as .mp4, .avi, and .mov. You can also link live feeds from compatible cameras.
A: Yes, Military-Aircraft-Detection is open-source and free to use for anyone.
A: Absolutely! Contributions are welcome. Please check the contribution guidelines in the project repository.
If you have questions or need assistance, join our community page on GitHub. Engage with other users, share your experiences, and get helpful tips. You can also report issues or request features there.
Military-Aircraft-Detection is licensed under the MIT License. Feel free to use it in your projects while acknowledging the original source.
Your feedback matters. If you find any issues or have suggestions for improvements, please submit them on the project’s GitHub page.
Thanks to the contributors who made this project possible, especially those who have shared their expertise in deep learning and computer vision.
Don’t forget to download the latest version from the Releases Page for new features and improvements.
Stay sharp and ready with your Military Aircraft Detection dashboard!