#[macro_use] extern crate log;
#[macro_use(s)] extern crate ndarray;
extern crate stopwatch;
use stopwatch::{Stopwatch};

use simplelog::*;
use v4l::{Buffer, CaptureDevice, MappedBufferStream};
use image;

mod visualhaar;

// use std::fs::File;

static mut CAMERA: Option<CaptureDevice> = None;

fn main() {
    CombinedLogger::init(
        vec![
            TermLogger::new(LevelFilter::Info, Config::default(), TerminalMode::Mixed),
            // WriteLogger::new(LevelFilter::Info, Config::default(), File::create("my_rust_binary.log").unwrap()),
        ]
    ).unwrap();
    

    warn!("test");
    let haar = visualhaar::HaarClassifier::from_xml("haarcascade_frontalface_alt2.xml").unwrap();
    // println!("Haar: {:?}", haar);


    let sw = Stopwatch::start_new();

    let frame = image::open("/home/ruben/Documents/Projecten/2020/rust/lena_orig.png");
    

    // let vec: Vec<u8> = frame.data().to_vec();
    // Convert to Nannou ImageBuffer
    // let img_buffer: Option<image::ImageBuffer<image::Rgb<u8>, Vec<u8>>> = image::ImageBuffer::from_raw(640,480, frame.data().to_vec());

    match frame {
        Err(e) => {
            // no imagebuffer for this update. set haar outcomes to empy
            error!("{:?}",e);
        }
        Ok(ib) => {
            // let
            // ib.map( nannou::image::DynamicImage::ImageRgb8);
            // let ib_bw = nannou::image::imageops::grayscale(&ib);
            // _model.image = Some(nannou::image::DynamicImage::ImageLuma8(ib_bw));
            let i = ib.as_rgb8().unwrap().clone();
            let image = haar.scan_image(i).unwrap().dynamic_img;
            image.save("/home/ruben/Documents/Projecten/2020/rust/lena_orig-output.png");
            info!("Scanning for faces took {}ms", sw.elapsed_ms());
            // _model.image = Some(nannou::image::DynamicImage::ImageRgb8(ib));

        }
    }

    
}