//! Comprehensive RTX Vision Advanced Demo
//!
//! NOTE: This demo is currently disabled due to incomplete API implementations.
//! It demonstrates the planned capabilities of rtx-vision-advanced:
//! - YOLO v8/v9 object detection
//! - R-CNN family detection and segmentation
//! - Medical imaging processing
//! - Autonomous vehicle perception
//! - Production optimization and deployment
//!
//! TODO: Re-enable once all APIs are implemented

use rtx_tensor::{Device, Tensor};
use rtx_vision_advanced::*;

fn main() -> VisionResult<()> {
    println!("RTX Vision Advanced - Comprehensive Demo");
    println!("This demo is currently under development.");
    println!("");
    println!("Available functionality:");
    println!("  - Basic bounding box operations");
    println!("  - Detection and segmentation result structures");
    println!("  - Medical image volume handling");
    println!("  - Autonomous driving data structures");
    println!("  - Production optimization configuration");
    println!("");

    // Demonstrate basic functionality that IS implemented
    let bbox = BoundingBox::new(10.0, 20.0, 100.0, 150.0, 0.95, 1);
    println!("Created bounding box with area: {}", bbox.area());

    let result = DetectionResult::new(vec![bbox], (640, 640), 10.5, "demo_model".to_string());
    println!("Detection result contains {} boxes", result.boxes.len());

    // Create a simple test tensor
    let test_image = Tensor::randn(&[1, 3, 224, 224], &Device::default())?;
    println!(
        "Created test image tensor with shape: {:?}",
        test_image.shape()
    );

    println!("\nDemo completed successfully!");

    Ok(())
}