waldo_vision 0.2.0

A multi-layered computer vision engine for detecting significant events in real-time video streams.
Documentation 
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// This file is now an example of how to use the `waldo_vision` library.
// The main library entry point is now `src/lib.rs`.

// We import the pipeline from our library.

fn main() {
    println!("Waldo Vision Engine - Example Runner");
    // In a real application, you would create a config, instantiate the
    // pipeline, and process frames from a video feed here.
    //
    // Example:
    // let config = waldo_vision::pipeline::PipelineConfig { ... };
    // let mut pipeline = VisionPipeline::new(config);
    // let frame_data = load_frame_from_camera();
    // let report = pipeline.generate_report(&frame_data);
    // println!("Report: {:?}", report);
}