VAE (Versatile AI Engine)

VAE is a high-performance visual analytics engine built in Rust, designed for real-time video processing, object detection, and scene analysis.

Features

• High-Performance Processing: GPU-accelerated visual processing pipeline
• Real-Time Analysis: Fast object detection and scene analysis
• Flexible Pipeline: Configurable processing stages for different use cases
• Resource Efficient: Optimized memory and compute resource management
• API Integration: Easy integration through REST and WebSocket APIs

Quick Start

Prerequisites

• Rust 1.75+
• CUDA toolkit (for GPU acceleration)
• OpenCV 4.x

Installation

# Clone the repository
git clone https://github.com/vae-engine/vae.git
cd vae

# Build the project
cargo build --release

Basic Usage

use vae::core::{Engine, EngineConfig};

#[tokio::main]
async fn main() -> Result<()> {
    // Initialize engine with default configuration
    let engine = Engine::new(EngineConfig::default()).await?;
    
    // Start processing
    engine.start().await?;
}

Architecture

VAE is built with a modular architecture:

• Core: Main processing engine and pipeline management
• Vision: Image processing and analysis modules
• Models: ML model management and inference
• Runtime: Resource and compute optimization
• API: External integration interfaces

Contributing

We welcome contributions! Please see our Contributing Guide for details.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

• Twitter: @alone_labs

Acknowledgments

Special thanks to all contributors and the Rust community for making this project possible.