use std::time::Instant;

use od_opencv::{ImageBuffer, Model};

fn main() {
    let classes_labels: Vec<&str> = vec!["person", "bicycle", "car", "motorbike", "aeroplane", "bus", "train", "truck", "boat", "traffic light", "fire hydrant", "stop sign", "parking meter", "bench", "bird", "cat", "dog", "horse", "sheep", "cow", "elephant", "bear", "zebra", "giraffe", "backpack", "umbrella", "handbag", "tie", "suitcase", "frisbee", "skis", "snowboard", "sports ball", "kite", "baseball bat", "baseball glove", "skateboard", "surfboard", "tennis racket", "bottle", "wine glass", "cup", "fork", "knife", "spoon", "bowl", "banana", "apple", "sandwich", "orange", "broccoli", "carrot", "hot dog", "pizza", "donut", "cake", "chair", "sofa", "pottedplant", "bed", "diningtable", "toilet", "tvmonitor", "laptop", "mouse", "remote", "keyboard", "cell phone", "microwave", "oven", "toaster", "sink", "refrigerator", "book", "clock", "vase", "scissors", "teddy bear", "hair drier", "toothbrush"];

    let mut model = Model::tensorrt(
        "pretrained/yolo11n.engine",
    ).expect("Failed to load engine");

    let img = image::open("images/dog.jpg").expect("Failed to load image");
    let img_buffer = ImageBuffer::from_dynamic_image(img);

    // Warm up (TensorRT + CUDA initialization)
    for _ in 0..10 {
        let _ = model.forward(&img_buffer, 0.25, 0.4).expect("Warm-up failed");
    }

    // Benchmark: average over 20 runs
    let start = Instant::now();
    let n_runs = 20;
    let mut result = None;
    for _ in 0..n_runs {
        result = Some(model.forward(&img_buffer, 0.25, 0.4).expect("Inference failed"));
    }
    let avg = start.elapsed() / n_runs;
    println!("Average inference time ({} runs): {:?}", n_runs, avg);

    let (bboxes, class_ids, confidences) = result.unwrap();

    for (i, bbox) in bboxes.iter().enumerate() {
        println!("Class: {}", classes_labels[class_ids[i]]);
        println!("\tBounding box: x={}, y={}, w={}, h={}", bbox.x, bbox.y, bbox.width, bbox.height);
        println!("\tConfidence: {:.2}", confidences[i]);
    }
}
