46 lines
1.6 KiB
Rust
46 lines
1.6 KiB
Rust
//! Comprehensive RTX Vision Advanced Demo
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//!
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//! NOTE: This demo is currently disabled due to incomplete API implementations.
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//! It demonstrates the planned capabilities of rtx-vision-advanced:
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//! - YOLO v8/v9 object detection
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//! - R-CNN family detection and segmentation
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//! - Medical imaging processing
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//! - Autonomous vehicle perception
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//! - Production optimization and deployment
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//!
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//! TODO: Re-enable once all APIs are implemented
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use rtx_tensor::{Device, Tensor};
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use rtx_vision_advanced::*;
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fn main() -> VisionResult<()> {
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println!("RTX Vision Advanced - Comprehensive Demo");
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println!("This demo is currently under development.");
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println!("");
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println!("Available functionality:");
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println!(" - Basic bounding box operations");
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println!(" - Detection and segmentation result structures");
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println!(" - Medical image volume handling");
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println!(" - Autonomous driving data structures");
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println!(" - Production optimization configuration");
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println!("");
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// Demonstrate basic functionality that IS implemented
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let bbox = BoundingBox::new(10.0, 20.0, 100.0, 150.0, 0.95, 1);
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println!("Created bounding box with area: {}", bbox.area());
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let result = DetectionResult::new(vec![bbox], (640, 640), 10.5, "demo_model".to_string());
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println!("Detection result contains {} boxes", result.boxes.len());
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// Create a simple test tensor
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let test_image = Tensor::randn(&[1, 3, 224, 224], &Device::default())?;
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println!(
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"Created test image tensor with shape: {:?}",
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test_image.shape()
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);
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println!("\nDemo completed successfully!");
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Ok(())
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}
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