Production-ready packages for seamless AI integration into defense systems
v1.1.0 • 15.2 MB
Complete Python integration package with ONNX and PyTorch model support. Includes optimized inference pipeline and GPU acceleration.
Python 3.8+, CUDA 11.8+ (optional)
v1.1.0 • 32.1 MB
Native C++ library for maximum performance. Ideal for embedded systems and real-time applications requiring minimal latency.
C++17, CMake 3.16+, ONNX Runtime
v1.1.0 • 8.7 MB
Production-ready API server with authentication, monitoring, and WebSocket streaming. Deploy as microservice or container.
Docker, Python 3.8+, 2GB RAM
v1.1.0 • 12.4 MB
Lightweight SDK optimized for ARM processors and edge devices. Quantized models for reduced memory footprint.
ARM64, 1GB RAM, Linux kernel 4.14+
v1.1.0 • Ready to Run
Complete real-time drone detection system with webcam support and GUI. Includes green bounding boxes and multi-drone tracking. Zero setup required.
Docker, Webcam, X11 display (Linux/macOS/Windows)
v1.1.0 • Lightweight
Lightweight REST API server for integrating drone detection into existing systems. No GUI, pure inference API with health monitoring.
Docker, 500MB RAM, Port 8080
v1.1.0 • 127 MB
Complete enterprise deployment package with all SDKs, monitoring tools, and professional support. Everything needed for production deployment.
SLA guarantee, Priority support, Custom training
Download individual model files for custom integration
43.2 MB
21.8 MB
28.6 MB
Command-line interface for model testing, benchmarking, and deployment automation.
Real-time performance monitoring with metrics visualization and alert management.
Pre-built Docker containers for rapid deployment across any infrastructure.
Free for evaluation, research, and non-commercial use. Includes all SDK packages with standard support.
Production deployment with commercial support and service level agreements.