Add heatmap inspired by python's matplotlib and implement a library for running it from python through CFFI
This commit is contained in:
Ruben van de Ven
parent
92ec2a4256
commit
9621bdc934
6 changed files with 820 additions and 131 deletions
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@ -14,6 +14,11 @@ path = "src/main.rs"
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name = "visual_haarcascades_test"
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name = "visual_haarcascades_test"
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path = "src/test.rs"
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path = "src/test.rs"
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[lib]
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name = "visual_haarcascades_lib"
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path = "src/lib.rs"
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crate-type = ["dylib"]
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[dependencies]
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[dependencies]
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nannou = "0.14"
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nannou = "0.14"
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# clang-sys = "0.29.3"
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# clang-sys = "0.29.3"
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773
src/heatmap.rs
773
src/heatmap.rs
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@ -3,53 +3,39 @@ use image;
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pub enum ColorMaps{
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pub enum ColorMaps{
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Binary,
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Binary,
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/// matplotlib
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NipySpectral,
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NipySpectral,
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TraficLight,
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/// matplotlib
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Viridis,
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/// matplotlib
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Plasma,
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}
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trait Colormap{
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fn get_lut(&self, N: usize) -> Vec<[u8; 3]>;
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}
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}
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#[derive(Debug)]
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#[derive(Debug)]
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pub struct ColorMap{
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struct LinearSegmentedColormap{
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pub red: Vec<(f64, f64, f64)>,
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pub red: Vec<(f64, f64, f64)>,
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pub green: Vec<(f64, f64, f64)>,
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pub green: Vec<(f64, f64, f64)>,
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pub blue: Vec<(f64, f64, f64)>,
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pub blue: Vec<(f64, f64, f64)>,
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}
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}
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#[derive(Debug)]
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#[derive(Debug)]
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pub struct Heatmap{
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struct ListedColormap{
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pub cm: ColorMap
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pub lut: Vec<(f64, f64, f64)>,
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}
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}
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pub struct Heatmap{
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pub lut: Vec<[u8; 3]>
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}
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impl Heatmap{
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impl Colormap for LinearSegmentedColormap{
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pub fn new(cm: ColorMaps) -> Self{
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fn get_lut(&self, N: usize) -> Vec<[u8; 3]>{
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Self{
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return self.generate_lut(N);
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cm: ColorMap::new(cm)
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}
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}
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pub fn convert_image(&self, img: image::DynamicImage) -> image::RgbImage {
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let gray_img: image::GrayImage = match img {
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image::DynamicImage::ImageLuma8(gray_image) => {
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gray_image
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}
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_ => {
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img.to_luma()
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}
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};
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let mut heatmap_img = image::RgbImage::new(gray_img.width(), gray_img.height());
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let lut_size = 256;// * 256 * 256;
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let lut = self.cm.generate_lut(lut_size);
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// info!("LUT: {:?}", lut);
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for pixel in gray_img.enumerate_pixels() {
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let l = pixel.2;
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let p = image::Rgb(lut[l.0[0] as usize]);
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heatmap_img.put_pixel(pixel.0, pixel.1, p);
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}
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return heatmap_img;
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}
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}
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}
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}
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@ -67,79 +53,7 @@ impl Heatmap{
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// }
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// }
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// }
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// }
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impl ColorMap{
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impl LinearSegmentedColormap{
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pub fn new(m: ColorMaps) -> Self {
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let cm = match m {
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ColorMaps::Binary => {
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Self{
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red: vec![
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(0., 0., 0.), (1., 1., 1.)
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],
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green: vec![
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(0., 0., 0.), (1., 1., 1.)
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],
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blue: vec![
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(0., 0., 0.), (1., 1., 1.)
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],
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}
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}
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ColorMaps::TraficLight => {
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Self{
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red: vec![
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(0., 0., 0.), (0.5, 1., 1.), (1., 1., 1.)
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],
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green: vec![
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(0., 0., 0.), (0.5, 1., 1.), (1., 0., 0.)
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],
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blue: vec![
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(0., 0., 1.), (0.5, 0., 0.), (1., 0., 0.)
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],
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}
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}
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ColorMaps::NipySpectral => {
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Self{
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red: vec![(0.0, 0.0, 0.0), (0.05, 0.4667, 0.4667),
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(0.10, 0.5333, 0.5333), (0.15, 0.0, 0.0),
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(0.20, 0.0, 0.0), (0.25, 0.0, 0.0),
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(0.30, 0.0, 0.0), (0.35, 0.0, 0.0),
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(0.40, 0.0, 0.0), (0.45, 0.0, 0.0),
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(0.50, 0.0, 0.0), (0.55, 0.0, 0.0),
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(0.60, 0.0, 0.0), (0.65, 0.7333, 0.7333),
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(0.70, 0.9333, 0.9333), (0.75, 1.0, 1.0),
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(0.80, 1.0, 1.0), (0.85, 1.0, 1.0),
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(0.90, 0.8667, 0.8667), (0.95, 0.80, 0.80),
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(1.0, 0.80, 0.80)],
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green: vec![(0.0, 0.0, 0.0), (0.05, 0.0, 0.0),
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(0.10, 0.0, 0.0), (0.15, 0.0, 0.0),
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(0.20, 0.0, 0.0), (0.25, 0.4667, 0.4667),
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(0.30, 0.6000, 0.6000), (0.35, 0.6667, 0.6667),
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(0.40, 0.6667, 0.6667), (0.45, 0.6000, 0.6000),
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(0.50, 0.7333, 0.7333), (0.55, 0.8667, 0.8667),
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(0.60, 1.0, 1.0), (0.65, 1.0, 1.0),
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(0.70, 0.9333, 0.9333), (0.75, 0.8000, 0.8000),
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(0.80, 0.6000, 0.6000), (0.85, 0.0, 0.0),
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(0.90, 0.0, 0.0), (0.95, 0.0, 0.0),
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(1.0, 0.80, 0.80)],
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blue: vec![(0.0, 0.0, 0.0), (0.05, 0.5333, 0.5333),
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(0.10, 0.6000, 0.6000), (0.15, 0.6667, 0.6667),
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(0.20, 0.8667, 0.8667), (0.25, 0.8667, 0.8667),
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(0.30, 0.8667, 0.8667), (0.35, 0.6667, 0.6667),
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(0.40, 0.5333, 0.5333), (0.45, 0.0, 0.0),
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(0.5, 0.0, 0.0), (0.55, 0.0, 0.0),
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(0.60, 0.0, 0.0), (0.65, 0.0, 0.0),
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(0.70, 0.0, 0.0), (0.75, 0.0, 0.0),
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(0.80, 0.0, 0.0), (0.85, 0.0, 0.0),
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(0.90, 0.0, 0.0), (0.95, 0.0, 0.0),
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(1.0, 0.80, 0.80)],
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}
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}
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};
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return cm;
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}
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/// Similar to MatplotLib LinearSegmentedColormap
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/// Similar to MatplotLib LinearSegmentedColormap
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/// @see https://github.com/matplotlib/matplotlib/blob/13e3573b721210d84865d148aab7f63cc2fc95a6/lib/matplotlib/colors.py
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/// @see https://github.com/matplotlib/matplotlib/blob/13e3573b721210d84865d148aab7f63cc2fc95a6/lib/matplotlib/colors.py
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/// """
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/// """
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@ -223,3 +137,648 @@ impl ColorMap{
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lut
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lut
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}
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}
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}
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}
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impl Colormap for ListedColormap{
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fn get_lut(&self, N: usize) -> Vec<[u8; 3]> {
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let mut lut = Vec::<[u8;3]>::new();
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// TODO: handle variable length of N
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for d in &self.lut{
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lut.push([
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(d.0 * 256.) as u8,
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(d.1 * 256.) as u8,
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(d.2 * 256.) as u8
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]);
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}
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lut
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}
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}
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impl Heatmap{
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pub fn convert_image(&self, img: image::DynamicImage) -> image::RgbImage {
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let gray_img: image::GrayImage = match img {
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image::DynamicImage::ImageLuma8(gray_image) => {
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gray_image
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}
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_ => {
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img.to_luma()
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}
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};
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let mut heatmap_img = image::RgbImage::new(gray_img.width(), gray_img.height());
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let lut_size = 256;// * 256 * 256;
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// let lut = self.cm.get_lut(lut_size);
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// info!("LUT: {:?}", lut);
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for pixel in gray_img.enumerate_pixels() {
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let l = pixel.2; //0: x, 1: y, 2: value
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let p = image::Rgb(self.lut[l.0[0] as usize]);
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heatmap_img.put_pixel(pixel.0, pixel.1, p);
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}
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return heatmap_img;
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}
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pub fn new(m: ColorMaps) -> Self {
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let N = 256;
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let lut = match m {
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ColorMaps::Binary => {
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LinearSegmentedColormap {
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red: vec![
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(0., 0., 0.), (1., 1., 1.)
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],
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green: vec![
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(0., 0., 0.), (1., 1., 1.)
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],
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blue: vec![
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(0., 0., 0.), (1., 1., 1.)
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],
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}.get_lut(N)
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}
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// ColorMaps::TraficLight => {
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// Self{
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// red: vec![
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// (0., 0., 0.), (0.5, 1., 1.), (1., 1., 1.)
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// ],
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// green: vec![
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// (0., 0., 0.), (0.5, 1., 1.), (1., 0., 0.)
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// ],
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// blue: vec![
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// (0., 0., 1.), (0.5, 0., 0.), (1., 0., 0.)
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// ],
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// }
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// }
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ColorMaps::NipySpectral => {
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LinearSegmentedColormap{
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red: vec![(0.0, 0.0, 0.0), (0.05, 0.4667, 0.4667),
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(0.10, 0.5333, 0.5333), (0.15, 0.0, 0.0),
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(0.20, 0.0, 0.0), (0.25, 0.0, 0.0),
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(0.30, 0.0, 0.0), (0.35, 0.0, 0.0),
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(0.40, 0.0, 0.0), (0.45, 0.0, 0.0),
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(0.50, 0.0, 0.0), (0.55, 0.0, 0.0),
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(0.60, 0.0, 0.0), (0.65, 0.7333, 0.7333),
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(0.70, 0.9333, 0.9333), (0.75, 1.0, 1.0),
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(0.80, 1.0, 1.0), (0.85, 1.0, 1.0),
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(0.90, 0.8667, 0.8667), (0.95, 0.80, 0.80),
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(1.0, 0.80, 0.80)],
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green: vec![(0.0, 0.0, 0.0), (0.05, 0.0, 0.0),
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(0.10, 0.0, 0.0), (0.15, 0.0, 0.0),
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(0.20, 0.0, 0.0), (0.25, 0.4667, 0.4667),
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(0.30, 0.6000, 0.6000), (0.35, 0.6667, 0.6667),
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(0.40, 0.6667, 0.6667), (0.45, 0.6000, 0.6000),
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(0.50, 0.7333, 0.7333), (0.55, 0.8667, 0.8667),
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(0.60, 1.0, 1.0), (0.65, 1.0, 1.0),
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(0.70, 0.9333, 0.9333), (0.75, 0.8000, 0.8000),
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(0.80, 0.6000, 0.6000), (0.85, 0.0, 0.0),
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(0.90, 0.0, 0.0), (0.95, 0.0, 0.0),
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(1.0, 0.80, 0.80)],
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blue: vec![(0.0, 0.0, 0.0), (0.05, 0.5333, 0.5333),
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(0.10, 0.6000, 0.6000), (0.15, 0.6667, 0.6667),
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(0.20, 0.8667, 0.8667), (0.25, 0.8667, 0.8667),
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(0.30, 0.8667, 0.8667), (0.35, 0.6667, 0.6667),
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(0.40, 0.5333, 0.5333), (0.45, 0.0, 0.0),
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(0.5, 0.0, 0.0), (0.55, 0.0, 0.0),
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(0.60, 0.0, 0.0), (0.65, 0.0, 0.0),
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(0.70, 0.0, 0.0), (0.75, 0.0, 0.0),
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(0.80, 0.0, 0.0), (0.85, 0.0, 0.0),
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(0.90, 0.0, 0.0), (0.95, 0.0, 0.0),
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(1.0, 0.80, 0.80)],
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}.get_lut(N)
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}
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ColorMaps::Viridis => {
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ListedColormap{
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lut: vec![
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(0.267004, 0.004874, 0.329415),
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(0.268510, 0.009605, 0.335427),
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(0.269944, 0.014625, 0.341379),
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(0.271305, 0.019942, 0.347269),
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(0.272594, 0.025563, 0.353093),
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(0.273809, 0.031497, 0.358853),
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(0.274952, 0.037752, 0.364543),
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(0.276022, 0.044167, 0.370164),
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(0.277018, 0.050344, 0.375715),
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(0.277941, 0.056324, 0.381191),
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(0.278791, 0.062145, 0.386592),
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(0.279566, 0.067836, 0.391917),
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(0.280267, 0.073417, 0.397163),
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(0.280894, 0.078907, 0.402329),
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(0.281446, 0.084320, 0.407414),
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(0.281924, 0.089666, 0.412415),
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(0.282327, 0.094955, 0.417331),
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(0.282656, 0.100196, 0.422160),
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(0.282910, 0.105393, 0.426902),
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(0.283091, 0.110553, 0.431554),
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(0.283197, 0.115680, 0.436115),
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(0.283229, 0.120777, 0.440584),
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(0.283187, 0.125848, 0.444960),
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(0.283072, 0.130895, 0.449241),
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(0.282884, 0.135920, 0.453427),
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(0.282623, 0.140926, 0.457517),
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(0.282290, 0.145912, 0.461510),
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(0.281887, 0.150881, 0.465405),
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(0.281412, 0.155834, 0.469201),
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(0.280868, 0.160771, 0.472899),
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(0.280255, 0.165693, 0.476498),
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(0.279574, 0.170599, 0.479997),
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||||||
|
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|
||||||
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
||||||
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
||||||
|
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|
||||||
|
(0.225863, 0.330805, 0.547314),
|
||||||
|
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|
||||||
|
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|
||||||
|
(0.220057, 0.343307, 0.549413),
|
||||||
|
(0.218130, 0.347432, 0.550038),
|
||||||
|
(0.216210, 0.351535, 0.550627),
|
||||||
|
(0.214298, 0.355619, 0.551184),
|
||||||
|
(0.212395, 0.359683, 0.551710),
|
||||||
|
(0.210503, 0.363727, 0.552206),
|
||||||
|
(0.208623, 0.367752, 0.552675),
|
||||||
|
(0.206756, 0.371758, 0.553117),
|
||||||
|
(0.204903, 0.375746, 0.553533),
|
||||||
|
(0.203063, 0.379716, 0.553925),
|
||||||
|
(0.201239, 0.383670, 0.554294),
|
||||||
|
(0.199430, 0.387607, 0.554642),
|
||||||
|
(0.197636, 0.391528, 0.554969),
|
||||||
|
(0.195860, 0.395433, 0.555276),
|
||||||
|
(0.194100, 0.399323, 0.555565),
|
||||||
|
(0.192357, 0.403199, 0.555836),
|
||||||
|
(0.190631, 0.407061, 0.556089),
|
||||||
|
(0.188923, 0.410910, 0.556326),
|
||||||
|
(0.187231, 0.414746, 0.556547),
|
||||||
|
(0.185556, 0.418570, 0.556753),
|
||||||
|
(0.183898, 0.422383, 0.556944),
|
||||||
|
(0.182256, 0.426184, 0.557120),
|
||||||
|
(0.180629, 0.429975, 0.557282),
|
||||||
|
(0.179019, 0.433756, 0.557430),
|
||||||
|
(0.177423, 0.437527, 0.557565),
|
||||||
|
(0.175841, 0.441290, 0.557685),
|
||||||
|
(0.174274, 0.445044, 0.557792),
|
||||||
|
(0.172719, 0.448791, 0.557885),
|
||||||
|
(0.171176, 0.452530, 0.557965),
|
||||||
|
(0.169646, 0.456262, 0.558030),
|
||||||
|
(0.168126, 0.459988, 0.558082),
|
||||||
|
(0.166617, 0.463708, 0.558119),
|
||||||
|
(0.165117, 0.467423, 0.558141),
|
||||||
|
(0.163625, 0.471133, 0.558148),
|
||||||
|
(0.162142, 0.474838, 0.558140),
|
||||||
|
(0.160665, 0.478540, 0.558115),
|
||||||
|
(0.159194, 0.482237, 0.558073),
|
||||||
|
(0.157729, 0.485932, 0.558013),
|
||||||
|
(0.156270, 0.489624, 0.557936),
|
||||||
|
(0.154815, 0.493313, 0.557840),
|
||||||
|
(0.153364, 0.497000, 0.557724),
|
||||||
|
(0.151918, 0.500685, 0.557587),
|
||||||
|
(0.150476, 0.504369, 0.557430),
|
||||||
|
(0.149039, 0.508051, 0.557250),
|
||||||
|
(0.147607, 0.511733, 0.557049),
|
||||||
|
(0.146180, 0.515413, 0.556823),
|
||||||
|
(0.144759, 0.519093, 0.556572),
|
||||||
|
(0.143343, 0.522773, 0.556295),
|
||||||
|
(0.141935, 0.526453, 0.555991),
|
||||||
|
(0.140536, 0.530132, 0.555659),
|
||||||
|
(0.139147, 0.533812, 0.555298),
|
||||||
|
(0.137770, 0.537492, 0.554906),
|
||||||
|
(0.136408, 0.541173, 0.554483),
|
||||||
|
(0.135066, 0.544853, 0.554029),
|
||||||
|
(0.133743, 0.548535, 0.553541),
|
||||||
|
(0.132444, 0.552216, 0.553018),
|
||||||
|
(0.131172, 0.555899, 0.552459),
|
||||||
|
(0.129933, 0.559582, 0.551864),
|
||||||
|
(0.128729, 0.563265, 0.551229),
|
||||||
|
(0.127568, 0.566949, 0.550556),
|
||||||
|
(0.126453, 0.570633, 0.549841),
|
||||||
|
(0.125394, 0.574318, 0.549086),
|
||||||
|
(0.124395, 0.578002, 0.548287),
|
||||||
|
(0.123463, 0.581687, 0.547445),
|
||||||
|
(0.122606, 0.585371, 0.546557),
|
||||||
|
(0.121831, 0.589055, 0.545623),
|
||||||
|
(0.121148, 0.592739, 0.544641),
|
||||||
|
(0.120565, 0.596422, 0.543611),
|
||||||
|
(0.120092, 0.600104, 0.542530),
|
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|
(0.119738, 0.603785, 0.541400),
|
||||||
|
(0.119512, 0.607464, 0.540218),
|
||||||
|
(0.119423, 0.611141, 0.538982),
|
||||||
|
(0.119483, 0.614817, 0.537692),
|
||||||
|
(0.119699, 0.618490, 0.536347),
|
||||||
|
(0.120081, 0.622161, 0.534946),
|
||||||
|
(0.120638, 0.625828, 0.533488),
|
||||||
|
(0.121380, 0.629492, 0.531973),
|
||||||
|
(0.122312, 0.633153, 0.530398),
|
||||||
|
(0.123444, 0.636809, 0.528763),
|
||||||
|
(0.124780, 0.640461, 0.527068),
|
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|
(0.126326, 0.644107, 0.525311),
|
||||||
|
(0.128087, 0.647749, 0.523491),
|
||||||
|
(0.130067, 0.651384, 0.521608),
|
||||||
|
(0.132268, 0.655014, 0.519661),
|
||||||
|
(0.134692, 0.658636, 0.517649),
|
||||||
|
(0.137339, 0.662252, 0.515571),
|
||||||
|
(0.140210, 0.665859, 0.513427),
|
||||||
|
(0.143303, 0.669459, 0.511215),
|
||||||
|
(0.146616, 0.673050, 0.508936),
|
||||||
|
(0.150148, 0.676631, 0.506589),
|
||||||
|
(0.153894, 0.680203, 0.504172),
|
||||||
|
(0.157851, 0.683765, 0.501686),
|
||||||
|
(0.162016, 0.687316, 0.499129),
|
||||||
|
(0.166383, 0.690856, 0.496502),
|
||||||
|
(0.170948, 0.694384, 0.493803),
|
||||||
|
(0.175707, 0.697900, 0.491033),
|
||||||
|
(0.180653, 0.701402, 0.488189),
|
||||||
|
(0.185783, 0.704891, 0.485273),
|
||||||
|
(0.191090, 0.708366, 0.482284),
|
||||||
|
(0.196571, 0.711827, 0.479221),
|
||||||
|
(0.202219, 0.715272, 0.476084),
|
||||||
|
(0.208030, 0.718701, 0.472873),
|
||||||
|
(0.214000, 0.722114, 0.469588),
|
||||||
|
(0.220124, 0.725509, 0.466226),
|
||||||
|
(0.226397, 0.728888, 0.462789),
|
||||||
|
(0.232815, 0.732247, 0.459277),
|
||||||
|
(0.239374, 0.735588, 0.455688),
|
||||||
|
(0.246070, 0.738910, 0.452024),
|
||||||
|
(0.252899, 0.742211, 0.448284),
|
||||||
|
(0.259857, 0.745492, 0.444467),
|
||||||
|
(0.266941, 0.748751, 0.440573),
|
||||||
|
(0.274149, 0.751988, 0.436601),
|
||||||
|
(0.281477, 0.755203, 0.432552),
|
||||||
|
(0.288921, 0.758394, 0.428426),
|
||||||
|
(0.296479, 0.761561, 0.424223),
|
||||||
|
(0.304148, 0.764704, 0.419943),
|
||||||
|
(0.311925, 0.767822, 0.415586),
|
||||||
|
(0.319809, 0.770914, 0.411152),
|
||||||
|
(0.327796, 0.773980, 0.406640),
|
||||||
|
(0.335885, 0.777018, 0.402049),
|
||||||
|
(0.344074, 0.780029, 0.397381),
|
||||||
|
(0.352360, 0.783011, 0.392636),
|
||||||
|
(0.360741, 0.785964, 0.387814),
|
||||||
|
(0.369214, 0.788888, 0.382914),
|
||||||
|
(0.377779, 0.791781, 0.377939),
|
||||||
|
(0.386433, 0.794644, 0.372886),
|
||||||
|
(0.395174, 0.797475, 0.367757),
|
||||||
|
(0.404001, 0.800275, 0.362552),
|
||||||
|
(0.412913, 0.803041, 0.357269),
|
||||||
|
(0.421908, 0.805774, 0.351910),
|
||||||
|
(0.430983, 0.808473, 0.346476),
|
||||||
|
(0.440137, 0.811138, 0.340967),
|
||||||
|
(0.449368, 0.813768, 0.335384),
|
||||||
|
(0.458674, 0.816363, 0.329727),
|
||||||
|
(0.468053, 0.818921, 0.323998),
|
||||||
|
(0.477504, 0.821444, 0.318195),
|
||||||
|
(0.487026, 0.823929, 0.312321),
|
||||||
|
(0.496615, 0.826376, 0.306377),
|
||||||
|
(0.506271, 0.828786, 0.300362),
|
||||||
|
(0.515992, 0.831158, 0.294279),
|
||||||
|
(0.525776, 0.833491, 0.288127),
|
||||||
|
(0.535621, 0.835785, 0.281908),
|
||||||
|
(0.545524, 0.838039, 0.275626),
|
||||||
|
(0.555484, 0.840254, 0.269281),
|
||||||
|
(0.565498, 0.842430, 0.262877),
|
||||||
|
(0.575563, 0.844566, 0.256415),
|
||||||
|
(0.585678, 0.846661, 0.249897),
|
||||||
|
(0.595839, 0.848717, 0.243329),
|
||||||
|
(0.606045, 0.850733, 0.236712),
|
||||||
|
(0.616293, 0.852709, 0.230052),
|
||||||
|
(0.626579, 0.854645, 0.223353),
|
||||||
|
(0.636902, 0.856542, 0.216620),
|
||||||
|
(0.647257, 0.858400, 0.209861),
|
||||||
|
(0.657642, 0.860219, 0.203082),
|
||||||
|
(0.668054, 0.861999, 0.196293),
|
||||||
|
(0.678489, 0.863742, 0.189503),
|
||||||
|
(0.688944, 0.865448, 0.182725),
|
||||||
|
(0.699415, 0.867117, 0.175971),
|
||||||
|
(0.709898, 0.868751, 0.169257),
|
||||||
|
(0.720391, 0.870350, 0.162603),
|
||||||
|
(0.730889, 0.871916, 0.156029),
|
||||||
|
(0.741388, 0.873449, 0.149561),
|
||||||
|
(0.751884, 0.874951, 0.143228),
|
||||||
|
(0.762373, 0.876424, 0.137064),
|
||||||
|
(0.772852, 0.877868, 0.131109),
|
||||||
|
(0.783315, 0.879285, 0.125405),
|
||||||
|
(0.793760, 0.880678, 0.120005),
|
||||||
|
(0.804182, 0.882046, 0.114965),
|
||||||
|
(0.814576, 0.883393, 0.110347),
|
||||||
|
(0.824940, 0.884720, 0.106217),
|
||||||
|
(0.835270, 0.886029, 0.102646),
|
||||||
|
(0.845561, 0.887322, 0.099702),
|
||||||
|
(0.855810, 0.888601, 0.097452),
|
||||||
|
(0.866013, 0.889868, 0.095953),
|
||||||
|
(0.876168, 0.891125, 0.095250),
|
||||||
|
(0.886271, 0.892374, 0.095374),
|
||||||
|
(0.896320, 0.893616, 0.096335),
|
||||||
|
(0.906311, 0.894855, 0.098125),
|
||||||
|
(0.916242, 0.896091, 0.100717),
|
||||||
|
(0.926106, 0.897330, 0.104071),
|
||||||
|
(0.935904, 0.898570, 0.108131),
|
||||||
|
(0.945636, 0.899815, 0.112838),
|
||||||
|
(0.955300, 0.901065, 0.118128),
|
||||||
|
(0.964894, 0.902323, 0.123941),
|
||||||
|
(0.974417, 0.903590, 0.130215),
|
||||||
|
(0.983868, 0.904867, 0.136897),
|
||||||
|
(0.993248, 0.906157, 0.143936)]
|
||||||
|
}.get_lut(N)
|
||||||
|
}
|
||||||
|
ColorMaps::Plasma => {
|
||||||
|
ListedColormap{
|
||||||
|
lut: vec![(0.050383, 0.029803, 0.527975),
|
||||||
|
(0.063536, 0.028426, 0.533124),
|
||||||
|
(0.075353, 0.027206, 0.538007),
|
||||||
|
(0.086222, 0.026125, 0.542658),
|
||||||
|
(0.096379, 0.025165, 0.547103),
|
||||||
|
(0.105980, 0.024309, 0.551368),
|
||||||
|
(0.115124, 0.023556, 0.555468),
|
||||||
|
(0.123903, 0.022878, 0.559423),
|
||||||
|
(0.132381, 0.022258, 0.563250),
|
||||||
|
(0.140603, 0.021687, 0.566959),
|
||||||
|
(0.148607, 0.021154, 0.570562),
|
||||||
|
(0.156421, 0.020651, 0.574065),
|
||||||
|
(0.164070, 0.020171, 0.577478),
|
||||||
|
(0.171574, 0.019706, 0.580806),
|
||||||
|
(0.178950, 0.019252, 0.584054),
|
||||||
|
(0.186213, 0.018803, 0.587228),
|
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|
(0.193374, 0.018354, 0.590330),
|
||||||
|
(0.200445, 0.017902, 0.593364),
|
||||||
|
(0.207435, 0.017442, 0.596333),
|
||||||
|
(0.214350, 0.016973, 0.599239),
|
||||||
|
(0.221197, 0.016497, 0.602083),
|
||||||
|
(0.227983, 0.016007, 0.604867),
|
||||||
|
(0.234715, 0.015502, 0.607592),
|
||||||
|
(0.241396, 0.014979, 0.610259),
|
||||||
|
(0.248032, 0.014439, 0.612868),
|
||||||
|
(0.254627, 0.013882, 0.615419),
|
||||||
|
(0.261183, 0.013308, 0.617911),
|
||||||
|
(0.267703, 0.012716, 0.620346),
|
||||||
|
(0.274191, 0.012109, 0.622722),
|
||||||
|
(0.280648, 0.011488, 0.625038),
|
||||||
|
(0.287076, 0.010855, 0.627295),
|
||||||
|
(0.293478, 0.010213, 0.629490),
|
||||||
|
(0.299855, 0.009561, 0.631624),
|
||||||
|
(0.306210, 0.008902, 0.633694),
|
||||||
|
(0.312543, 0.008239, 0.635700),
|
||||||
|
(0.318856, 0.007576, 0.637640),
|
||||||
|
(0.325150, 0.006915, 0.639512),
|
||||||
|
(0.331426, 0.006261, 0.641316),
|
||||||
|
(0.337683, 0.005618, 0.643049),
|
||||||
|
(0.343925, 0.004991, 0.644710),
|
||||||
|
(0.350150, 0.004382, 0.646298),
|
||||||
|
(0.356359, 0.003798, 0.647810),
|
||||||
|
(0.362553, 0.003243, 0.649245),
|
||||||
|
(0.368733, 0.002724, 0.650601),
|
||||||
|
(0.374897, 0.002245, 0.651876),
|
||||||
|
(0.381047, 0.001814, 0.653068),
|
||||||
|
(0.387183, 0.001434, 0.654177),
|
||||||
|
(0.393304, 0.001114, 0.655199),
|
||||||
|
(0.399411, 0.000859, 0.656133),
|
||||||
|
(0.405503, 0.000678, 0.656977),
|
||||||
|
(0.411580, 0.000577, 0.657730),
|
||||||
|
(0.417642, 0.000564, 0.658390),
|
||||||
|
(0.423689, 0.000646, 0.658956),
|
||||||
|
(0.429719, 0.000831, 0.659425),
|
||||||
|
(0.435734, 0.001127, 0.659797),
|
||||||
|
(0.441732, 0.001540, 0.660069),
|
||||||
|
(0.447714, 0.002080, 0.660240),
|
||||||
|
(0.453677, 0.002755, 0.660310),
|
||||||
|
(0.459623, 0.003574, 0.660277),
|
||||||
|
(0.465550, 0.004545, 0.660139),
|
||||||
|
(0.471457, 0.005678, 0.659897),
|
||||||
|
(0.477344, 0.006980, 0.659549),
|
||||||
|
(0.483210, 0.008460, 0.659095),
|
||||||
|
(0.489055, 0.010127, 0.658534),
|
||||||
|
(0.494877, 0.011990, 0.657865),
|
||||||
|
(0.500678, 0.014055, 0.657088),
|
||||||
|
(0.506454, 0.016333, 0.656202),
|
||||||
|
(0.512206, 0.018833, 0.655209),
|
||||||
|
(0.517933, 0.021563, 0.654109),
|
||||||
|
(0.523633, 0.024532, 0.652901),
|
||||||
|
(0.529306, 0.027747, 0.651586),
|
||||||
|
(0.534952, 0.031217, 0.650165),
|
||||||
|
(0.540570, 0.034950, 0.648640),
|
||||||
|
(0.546157, 0.038954, 0.647010),
|
||||||
|
(0.551715, 0.043136, 0.645277),
|
||||||
|
(0.557243, 0.047331, 0.643443),
|
||||||
|
(0.562738, 0.051545, 0.641509),
|
||||||
|
(0.568201, 0.055778, 0.639477),
|
||||||
|
(0.573632, 0.060028, 0.637349),
|
||||||
|
(0.579029, 0.064296, 0.635126),
|
||||||
|
(0.584391, 0.068579, 0.632812),
|
||||||
|
(0.589719, 0.072878, 0.630408),
|
||||||
|
(0.595011, 0.077190, 0.627917),
|
||||||
|
(0.600266, 0.081516, 0.625342),
|
||||||
|
(0.605485, 0.085854, 0.622686),
|
||||||
|
(0.610667, 0.090204, 0.619951),
|
||||||
|
(0.615812, 0.094564, 0.617140),
|
||||||
|
(0.620919, 0.098934, 0.614257),
|
||||||
|
(0.625987, 0.103312, 0.611305),
|
||||||
|
(0.631017, 0.107699, 0.608287),
|
||||||
|
(0.636008, 0.112092, 0.605205),
|
||||||
|
(0.640959, 0.116492, 0.602065),
|
||||||
|
(0.645872, 0.120898, 0.598867),
|
||||||
|
(0.650746, 0.125309, 0.595617),
|
||||||
|
(0.655580, 0.129725, 0.592317),
|
||||||
|
(0.660374, 0.134144, 0.588971),
|
||||||
|
(0.665129, 0.138566, 0.585582),
|
||||||
|
(0.669845, 0.142992, 0.582154),
|
||||||
|
(0.674522, 0.147419, 0.578688),
|
||||||
|
(0.679160, 0.151848, 0.575189),
|
||||||
|
(0.683758, 0.156278, 0.571660),
|
||||||
|
(0.688318, 0.160709, 0.568103),
|
||||||
|
(0.692840, 0.165141, 0.564522),
|
||||||
|
(0.697324, 0.169573, 0.560919),
|
||||||
|
(0.701769, 0.174005, 0.557296),
|
||||||
|
(0.706178, 0.178437, 0.553657),
|
||||||
|
(0.710549, 0.182868, 0.550004),
|
||||||
|
(0.714883, 0.187299, 0.546338),
|
||||||
|
(0.719181, 0.191729, 0.542663),
|
||||||
|
(0.723444, 0.196158, 0.538981),
|
||||||
|
(0.727670, 0.200586, 0.535293),
|
||||||
|
(0.731862, 0.205013, 0.531601),
|
||||||
|
(0.736019, 0.209439, 0.527908),
|
||||||
|
(0.740143, 0.213864, 0.524216),
|
||||||
|
(0.744232, 0.218288, 0.520524),
|
||||||
|
(0.748289, 0.222711, 0.516834),
|
||||||
|
(0.752312, 0.227133, 0.513149),
|
||||||
|
(0.756304, 0.231555, 0.509468),
|
||||||
|
(0.760264, 0.235976, 0.505794),
|
||||||
|
(0.764193, 0.240396, 0.502126),
|
||||||
|
(0.768090, 0.244817, 0.498465),
|
||||||
|
(0.771958, 0.249237, 0.494813),
|
||||||
|
(0.775796, 0.253658, 0.491171),
|
||||||
|
(0.779604, 0.258078, 0.487539),
|
||||||
|
(0.783383, 0.262500, 0.483918),
|
||||||
|
(0.787133, 0.266922, 0.480307),
|
||||||
|
(0.790855, 0.271345, 0.476706),
|
||||||
|
(0.794549, 0.275770, 0.473117),
|
||||||
|
(0.798216, 0.280197, 0.469538),
|
||||||
|
(0.801855, 0.284626, 0.465971),
|
||||||
|
(0.805467, 0.289057, 0.462415),
|
||||||
|
(0.809052, 0.293491, 0.458870),
|
||||||
|
(0.812612, 0.297928, 0.455338),
|
||||||
|
(0.816144, 0.302368, 0.451816),
|
||||||
|
(0.819651, 0.306812, 0.448306),
|
||||||
|
(0.823132, 0.311261, 0.444806),
|
||||||
|
(0.826588, 0.315714, 0.441316),
|
||||||
|
(0.830018, 0.320172, 0.437836),
|
||||||
|
(0.833422, 0.324635, 0.434366),
|
||||||
|
(0.836801, 0.329105, 0.430905),
|
||||||
|
(0.840155, 0.333580, 0.427455),
|
||||||
|
(0.843484, 0.338062, 0.424013),
|
||||||
|
(0.846788, 0.342551, 0.420579),
|
||||||
|
(0.850066, 0.347048, 0.417153),
|
||||||
|
(0.853319, 0.351553, 0.413734),
|
||||||
|
(0.856547, 0.356066, 0.410322),
|
||||||
|
(0.859750, 0.360588, 0.406917),
|
||||||
|
(0.862927, 0.365119, 0.403519),
|
||||||
|
(0.866078, 0.369660, 0.400126),
|
||||||
|
(0.869203, 0.374212, 0.396738),
|
||||||
|
(0.872303, 0.378774, 0.393355),
|
||||||
|
(0.875376, 0.383347, 0.389976),
|
||||||
|
(0.878423, 0.387932, 0.386600),
|
||||||
|
(0.881443, 0.392529, 0.383229),
|
||||||
|
(0.884436, 0.397139, 0.379860),
|
||||||
|
(0.887402, 0.401762, 0.376494),
|
||||||
|
(0.890340, 0.406398, 0.373130),
|
||||||
|
(0.893250, 0.411048, 0.369768),
|
||||||
|
(0.896131, 0.415712, 0.366407),
|
||||||
|
(0.898984, 0.420392, 0.363047),
|
||||||
|
(0.901807, 0.425087, 0.359688),
|
||||||
|
(0.904601, 0.429797, 0.356329),
|
||||||
|
(0.907365, 0.434524, 0.352970),
|
||||||
|
(0.910098, 0.439268, 0.349610),
|
||||||
|
(0.912800, 0.444029, 0.346251),
|
||||||
|
(0.915471, 0.448807, 0.342890),
|
||||||
|
(0.918109, 0.453603, 0.339529),
|
||||||
|
(0.920714, 0.458417, 0.336166),
|
||||||
|
(0.923287, 0.463251, 0.332801),
|
||||||
|
(0.925825, 0.468103, 0.329435),
|
||||||
|
(0.928329, 0.472975, 0.326067),
|
||||||
|
(0.930798, 0.477867, 0.322697),
|
||||||
|
(0.933232, 0.482780, 0.319325),
|
||||||
|
(0.935630, 0.487712, 0.315952),
|
||||||
|
(0.937990, 0.492667, 0.312575),
|
||||||
|
(0.940313, 0.497642, 0.309197),
|
||||||
|
(0.942598, 0.502639, 0.305816),
|
||||||
|
(0.944844, 0.507658, 0.302433),
|
||||||
|
(0.947051, 0.512699, 0.299049),
|
||||||
|
(0.949217, 0.517763, 0.295662),
|
||||||
|
(0.951344, 0.522850, 0.292275),
|
||||||
|
(0.953428, 0.527960, 0.288883),
|
||||||
|
(0.955470, 0.533093, 0.285490),
|
||||||
|
(0.957469, 0.538250, 0.282096),
|
||||||
|
(0.959424, 0.543431, 0.278701),
|
||||||
|
(0.961336, 0.548636, 0.275305),
|
||||||
|
(0.963203, 0.553865, 0.271909),
|
||||||
|
(0.965024, 0.559118, 0.268513),
|
||||||
|
(0.966798, 0.564396, 0.265118),
|
||||||
|
(0.968526, 0.569700, 0.261721),
|
||||||
|
(0.970205, 0.575028, 0.258325),
|
||||||
|
(0.971835, 0.580382, 0.254931),
|
||||||
|
(0.973416, 0.585761, 0.251540),
|
||||||
|
(0.974947, 0.591165, 0.248151),
|
||||||
|
(0.976428, 0.596595, 0.244767),
|
||||||
|
(0.977856, 0.602051, 0.241387),
|
||||||
|
(0.979233, 0.607532, 0.238013),
|
||||||
|
(0.980556, 0.613039, 0.234646),
|
||||||
|
(0.981826, 0.618572, 0.231287),
|
||||||
|
(0.983041, 0.624131, 0.227937),
|
||||||
|
(0.984199, 0.629718, 0.224595),
|
||||||
|
(0.985301, 0.635330, 0.221265),
|
||||||
|
(0.986345, 0.640969, 0.217948),
|
||||||
|
(0.987332, 0.646633, 0.214648),
|
||||||
|
(0.988260, 0.652325, 0.211364),
|
||||||
|
(0.989128, 0.658043, 0.208100),
|
||||||
|
(0.989935, 0.663787, 0.204859),
|
||||||
|
(0.990681, 0.669558, 0.201642),
|
||||||
|
(0.991365, 0.675355, 0.198453),
|
||||||
|
(0.991985, 0.681179, 0.195295),
|
||||||
|
(0.992541, 0.687030, 0.192170),
|
||||||
|
(0.993032, 0.692907, 0.189084),
|
||||||
|
(0.993456, 0.698810, 0.186041),
|
||||||
|
(0.993814, 0.704741, 0.183043),
|
||||||
|
(0.994103, 0.710698, 0.180097),
|
||||||
|
(0.994324, 0.716681, 0.177208),
|
||||||
|
(0.994474, 0.722691, 0.174381),
|
||||||
|
(0.994553, 0.728728, 0.171622),
|
||||||
|
(0.994561, 0.734791, 0.168938),
|
||||||
|
(0.994495, 0.740880, 0.166335),
|
||||||
|
(0.994355, 0.746995, 0.163821),
|
||||||
|
(0.994141, 0.753137, 0.161404),
|
||||||
|
(0.993851, 0.759304, 0.159092),
|
||||||
|
(0.993482, 0.765499, 0.156891),
|
||||||
|
(0.993033, 0.771720, 0.154808),
|
||||||
|
(0.992505, 0.777967, 0.152855),
|
||||||
|
(0.991897, 0.784239, 0.151042),
|
||||||
|
(0.991209, 0.790537, 0.149377),
|
||||||
|
(0.990439, 0.796859, 0.147870),
|
||||||
|
(0.989587, 0.803205, 0.146529),
|
||||||
|
(0.988648, 0.809579, 0.145357),
|
||||||
|
(0.987621, 0.815978, 0.144363),
|
||||||
|
(0.986509, 0.822401, 0.143557),
|
||||||
|
(0.985314, 0.828846, 0.142945),
|
||||||
|
(0.984031, 0.835315, 0.142528),
|
||||||
|
(0.982653, 0.841812, 0.142303),
|
||||||
|
(0.981190, 0.848329, 0.142279),
|
||||||
|
(0.979644, 0.854866, 0.142453),
|
||||||
|
(0.977995, 0.861432, 0.142808),
|
||||||
|
(0.976265, 0.868016, 0.143351),
|
||||||
|
(0.974443, 0.874622, 0.144061),
|
||||||
|
(0.972530, 0.881250, 0.144923),
|
||||||
|
(0.970533, 0.887896, 0.145919),
|
||||||
|
(0.968443, 0.894564, 0.147014),
|
||||||
|
(0.966271, 0.901249, 0.148180),
|
||||||
|
(0.964021, 0.907950, 0.149370),
|
||||||
|
(0.961681, 0.914672, 0.150520),
|
||||||
|
(0.959276, 0.921407, 0.151566),
|
||||||
|
(0.956808, 0.928152, 0.152409),
|
||||||
|
(0.954287, 0.934908, 0.152921),
|
||||||
|
(0.951726, 0.941671, 0.152925),
|
||||||
|
(0.949151, 0.948435, 0.152178),
|
||||||
|
(0.946602, 0.955190, 0.150328),
|
||||||
|
(0.944152, 0.961916, 0.146861),
|
||||||
|
(0.941896, 0.968590, 0.140956),
|
||||||
|
(0.940015, 0.975158, 0.131326)]
|
||||||
|
}.get_lut(N)
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
Heatmap{
|
||||||
|
lut: lut
|
||||||
|
}
|
||||||
|
|
||||||
|
// return cm;
|
||||||
|
}
|
||||||
|
|
||||||
|
}
|
||||||
|
|
|
||||||
83
src/lib.rs
Normal file
83
src/lib.rs
Normal file
|
|
@ -0,0 +1,83 @@
|
||||||
|
#[macro_use] extern crate log;
|
||||||
|
#[macro_use(s)] extern crate ndarray;
|
||||||
|
mod visualhaar;
|
||||||
|
mod heatmap;
|
||||||
|
|
||||||
|
|
||||||
|
use std::slice;
|
||||||
|
use image;
|
||||||
|
|
||||||
|
static mut IMAGENR: i32 = 0;
|
||||||
|
|
||||||
|
#[no_mangle]
|
||||||
|
pub extern "C" fn test(x: i32) -> i32 {
|
||||||
|
x * 2
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
/// partly inspired by https://bheisler.github.io/post/calling-rust-in-python/
|
||||||
|
#[no_mangle]
|
||||||
|
pub extern "C" fn classifier_new()
|
||||||
|
-> *mut visualhaar::HaarClassifier {
|
||||||
|
let haar = visualhaar::HaarClassifier::from_xml("/home/ruben/Documents/Projecten/2020/rust/testproject/haarcascade_frontalface_alt2.xml").unwrap();
|
||||||
|
let boxed_haar = Box::new(haar);
|
||||||
|
Box::into_raw(boxed_haar)
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
#[no_mangle]
|
||||||
|
pub extern "C" fn scan_image(haar: *mut visualhaar::HaarClassifier,
|
||||||
|
width: usize, height: usize,
|
||||||
|
input: *const u8,
|
||||||
|
buffer: *mut u8,
|
||||||
|
length: usize,
|
||||||
|
debug: bool) {
|
||||||
|
if haar.is_null() || input.is_null() || buffer.is_null() {
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
let haar = unsafe { Box::from_raw(haar) };
|
||||||
|
// let input = unsafe { slice::from_raw_parts_mut(input, length) };
|
||||||
|
let buffer = unsafe { slice::from_raw_parts_mut(buffer, length) };
|
||||||
|
let input = unsafe { slice::from_raw_parts(input, length) };
|
||||||
|
let input = Vec::from(input);
|
||||||
|
|
||||||
|
|
||||||
|
let mut buf_img: image::ImageBuffer<image::Rgb<u8>, &mut [u8]> = image::ImageBuffer::from_raw(width as u32, height as u32, buffer).unwrap();
|
||||||
|
let input_frame: image::ImageBuffer<image::Rgb<u8>, Vec<u8>> = image::ImageBuffer::from_raw(width as u32, height as u32, input).unwrap();
|
||||||
|
|
||||||
|
// let frame = image::open("/home/ruben/Documents/Projecten/2020/rust/lena_orig.png").unwrap();
|
||||||
|
// let input_frame = frame.as_rgb8().unwrap().clone();
|
||||||
|
|
||||||
|
let hm = Some(heatmap::Heatmap::new(heatmap::ColorMaps::Plasma));
|
||||||
|
// let hm = None;
|
||||||
|
|
||||||
|
if debug {
|
||||||
|
unsafe{
|
||||||
|
IMAGENR+=1;
|
||||||
|
let filename = format!("/tmp/last_frame{}.png",IMAGENR);
|
||||||
|
println!("Saving debug! {}", filename);
|
||||||
|
input_frame.save(filename);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
let image = haar.scan_image(input_frame, &hm).unwrap().dynamic_img;
|
||||||
|
let rgb_img = image.to_rgb();
|
||||||
|
// image.save("/home/ruben/Documents/Projecten/2020/rust/lena_orig-output-lib.png");
|
||||||
|
info!("Scanning for faces took done");
|
||||||
|
|
||||||
|
for x in 0..(width as u32){
|
||||||
|
for y in 0..(height as u32){
|
||||||
|
buf_img.put_pixel(x, y, rgb_img.get_pixel(x,y).clone());
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// buffer =6 image.to_rgb().into_raw();
|
||||||
|
|
||||||
|
|
||||||
|
// haar.scan_image(input_frame, &hm);
|
||||||
|
// raytracer::render_into(block, &*scene, &mut image);
|
||||||
|
|
||||||
|
|
||||||
|
//Don't free the haar
|
||||||
|
Box::into_raw(haar);
|
||||||
|
}
|
||||||
49
src/main.rs
49
src/main.rs
|
|
@ -7,6 +7,7 @@ use nannou::prelude::*;
|
||||||
use v4l::{Buffer, CaptureDevice, MappedBufferStream};
|
use v4l::{Buffer, CaptureDevice, MappedBufferStream};
|
||||||
use image;
|
use image;
|
||||||
mod visualhaar;
|
mod visualhaar;
|
||||||
|
mod heatmap;
|
||||||
|
|
||||||
// use std::fs::File;
|
// use std::fs::File;
|
||||||
|
|
||||||
|
|
@ -22,16 +23,37 @@ fn main() {
|
||||||
|
|
||||||
warn!("test");
|
warn!("test");
|
||||||
|
|
||||||
unsafe{
|
// unsafe{
|
||||||
CAMERA = Some(CaptureDevice::new(2)
|
|
||||||
.expect("Failed to open device")
|
let device_id = 0;
|
||||||
// .format(640, 480, b"RGB3")
|
|
||||||
.format(424, 240, b"RGB3")
|
if let Ok(dev) = CaptureDevice::new(device_id) {
|
||||||
// .format(320, 240, b"RGB3")
|
|
||||||
.expect("Failed to set format")
|
let formats = dev.enumerate_formats();
|
||||||
.fps(30)
|
if let Ok(formats) = formats {
|
||||||
.expect("Failed to set frame interval"));
|
info!("Supported camera formats");
|
||||||
|
for fmt in formats {
|
||||||
|
info!("{}", fmt);
|
||||||
}
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
unsafe{
|
||||||
|
CAMERA = Some(dev.format(424, 240, b"RGB3")
|
||||||
|
.expect("Failed to set format"));
|
||||||
|
}
|
||||||
|
} else {
|
||||||
|
println!("Failed to open camera device {}", device_id);
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
// CAMERA = Some(CaptureDevice::new(3)
|
||||||
|
// .expect("Failed to open device")
|
||||||
|
// // .format(640, 480, b"RGB3")
|
||||||
|
// .format(424, 240, b"RGB3")
|
||||||
|
// // .format(320, 240, b"RGB3")
|
||||||
|
// .expect("Failed to set format")()
|
||||||
|
// .fps(30)
|
||||||
|
// .expect("Failed to set frame interval"));
|
||||||
|
// }
|
||||||
|
|
||||||
nannou::app(model)
|
nannou::app(model)
|
||||||
.event(event)
|
.event(event)
|
||||||
|
|
@ -45,6 +67,7 @@ struct Model<'a> {
|
||||||
_window: window::Id,
|
_window: window::Id,
|
||||||
image: Option<nannou::image::DynamicImage>,
|
image: Option<nannou::image::DynamicImage>,
|
||||||
haar: visualhaar::HaarClassifier,
|
haar: visualhaar::HaarClassifier,
|
||||||
|
heatmap: Option<heatmap::Heatmap>,
|
||||||
haar_outcome: Option<visualhaar::Outcome>,
|
haar_outcome: Option<visualhaar::Outcome>,
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
@ -82,7 +105,7 @@ fn model<'a>(app: &App) -> Model<'a> {
|
||||||
|
|
||||||
let haar = visualhaar::HaarClassifier::from_xml("haarcascade_frontalface_alt2.xml").unwrap();
|
let haar = visualhaar::HaarClassifier::from_xml("haarcascade_frontalface_alt2.xml").unwrap();
|
||||||
|
|
||||||
println!("Haar: {:?}", haar);
|
// println!("Haar: {:?}", haar);
|
||||||
|
|
||||||
|
|
||||||
Model {
|
Model {
|
||||||
|
|
@ -90,6 +113,7 @@ fn model<'a>(app: &App) -> Model<'a> {
|
||||||
_window: _window,
|
_window: _window,
|
||||||
image: None,
|
image: None,
|
||||||
haar: haar,
|
haar: haar,
|
||||||
|
heatmap: Some(heatmap::Heatmap::new(heatmap::ColorMaps::Plasma)),
|
||||||
haar_outcome: None,
|
haar_outcome: None,
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
@ -134,7 +158,8 @@ fn update(_app: &App, _model: &mut Model, _update: Update) {
|
||||||
// ib.map( nannou::image::DynamicImage::ImageRgb8);
|
// ib.map( nannou::image::DynamicImage::ImageRgb8);
|
||||||
// let ib_bw = nannou::image::imageops::grayscale(&ib);
|
// let ib_bw = nannou::image::imageops::grayscale(&ib);
|
||||||
// _model.image = Some(nannou::image::DynamicImage::ImageLuma8(ib_bw));
|
// _model.image = Some(nannou::image::DynamicImage::ImageLuma8(ib_bw));
|
||||||
let outcome = _model.haar.scan_image(ib).unwrap();
|
let outcome = _model.haar.scan_image(ib, &_model.heatmap).unwrap();
|
||||||
|
// let image_hm = _model.heatmap.convert_image(outcome.dynamic_img);
|
||||||
_model.haar_outcome = Some(outcome);
|
_model.haar_outcome = Some(outcome);
|
||||||
// _model.image = Some(nannou::image::DynamicImage::ImageRgb8(ib));
|
// _model.image = Some(nannou::image::DynamicImage::ImageRgb8(ib));
|
||||||
|
|
||||||
|
|
@ -164,6 +189,8 @@ fn view(_app: &App, _model: &Model, frame: Frame){
|
||||||
Some(outcome) => {
|
Some(outcome) => {
|
||||||
// let i = outcome.dyn(/);
|
// let i = outcome.dyn(/);
|
||||||
// let img // ::from(&outcome.dynamic_img);
|
// let img // ::from(&outcome.dynamic_img);
|
||||||
|
// let hm = heatmap::Heatmap::new(heatmap::ColorMaps::Plasma);
|
||||||
|
// let image_hm = hm.convert_image(image);
|
||||||
let img = image::DynamicImage::ImageRgb8(outcome.dynamic_img.to_rgb()).resize(1000, 1000, image::imageops::FilterType::Triangle);
|
let img = image::DynamicImage::ImageRgb8(outcome.dynamic_img.to_rgb()).resize(1000, 1000, image::imageops::FilterType::Triangle);
|
||||||
|
|
||||||
let texture = wgpu::Texture::from_image(_app, &img);
|
let texture = wgpu::Texture::from_image(_app, &img);
|
||||||
|
|
|
||||||
17
src/test.rs
17
src/test.rs
|
|
@ -29,7 +29,7 @@ fn main() {
|
||||||
// println!("Haar: {:?}", haar);
|
// println!("Haar: {:?}", haar);
|
||||||
|
|
||||||
|
|
||||||
let sw = Stopwatch::start_new();
|
let mut sw = Stopwatch::start_new();
|
||||||
|
|
||||||
let frame = image::open("/home/ruben/Documents/Projecten/2020/rust/lena_orig-s.png");
|
let frame = image::open("/home/ruben/Documents/Projecten/2020/rust/lena_orig-s.png");
|
||||||
|
|
||||||
|
|
@ -49,15 +49,18 @@ fn main() {
|
||||||
// let ib_bw = nannou::image::imageops::grayscale(&ib);
|
// let ib_bw = nannou::image::imageops::grayscale(&ib);
|
||||||
// _model.image = Some(nannou::image::DynamicImage::ImageLuma8(ib_bw));
|
// _model.image = Some(nannou::image::DynamicImage::ImageLuma8(ib_bw));
|
||||||
let i = ib.as_rgb8().unwrap().clone();
|
let i = ib.as_rgb8().unwrap().clone();
|
||||||
let image = haar.scan_image(i).unwrap().dynamic_img;
|
let hm = Some(heatmap::Heatmap::new(heatmap::ColorMaps::Plasma));
|
||||||
|
let image = haar.scan_image(i, &hm).unwrap().dynamic_img;
|
||||||
|
image.save("/home/ruben/Documents/Projecten/2020/rust/lena_orig-output.png");
|
||||||
|
|
||||||
// let hm = heatmap::Heatmap::new(heatmap::ColorMaps::NipySpectral);
|
// let hm = heatmap::Heatmap::new(heatmap::ColorMaps::NipySpectral);
|
||||||
let hm = heatmap::Heatmap::new(heatmap::ColorMaps::TraficLight);
|
// let hm = heatmap::Heatmap::new(heatmap::ColorMaps::TraficLight);
|
||||||
// let hm = heatmap::Heatmap::new(heatmap::ColorMaps::Binary);
|
|
||||||
let image = hm.convert_image(image);
|
|
||||||
|
|
||||||
image.save("/home/ruben/Documents/Projecten/2020/rust/lena_orig-output.png");
|
|
||||||
info!("Scanning for faces took {}ms", sw.elapsed_ms());
|
info!("Scanning for faces took {}ms", sw.elapsed_ms());
|
||||||
|
// sw.restart();
|
||||||
|
// let hm = h;
|
||||||
|
// let image_hm = hm.convert_image(image);
|
||||||
|
// image_hm.save("/home/ruben/Documents/Projecten/2020/rust/lena_orig-output-hm.png");
|
||||||
|
// info!("Generating Heatmap {}ms", sw.elapsed_ms());
|
||||||
// _model.image = Some(nannou::image::DynamicImage::ImageRgb8(ib));
|
// _model.image = Some(nannou::image::DynamicImage::ImageRgb8(ib));
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
|
||||||
|
|
@ -6,6 +6,7 @@ use std::{convert::TryInto, error::Error};
|
||||||
|
|
||||||
use stopwatch::{Stopwatch};
|
use stopwatch::{Stopwatch};
|
||||||
use ndarray as nd;
|
use ndarray as nd;
|
||||||
|
use super::heatmap as heatmap;
|
||||||
|
|
||||||
/// A haarclasifier based on opencv cascade XML files
|
/// A haarclasifier based on opencv cascade XML files
|
||||||
/// Structure info from https://answers.opencv.org/question/8418/explanation-of-cascadexml-in-a-haar-classifier/
|
/// Structure info from https://answers.opencv.org/question/8418/explanation-of-cascadexml-in-a-haar-classifier/
|
||||||
|
|
@ -108,7 +109,7 @@ impl HaarClassifierFeatureRect{
|
||||||
// info!("Draw {} {} {} {} ({:?}),", x1, y1, x2, y2,self);
|
// info!("Draw {} {} {} {} ({:?}),", x1, y1, x2, y2,self);
|
||||||
let mut rect = draw_window.slice_mut(s![y1..y2, x1..x2]); // semi slow (initially 500ms)
|
let mut rect = draw_window.slice_mut(s![y1..y2, x1..x2]); // semi slow (initially 500ms)
|
||||||
rect += self.weight; // super slow (initially 10.000 ms)
|
rect += self.weight; // super slow (initially 10.000 ms)
|
||||||
|
// info!("add")
|
||||||
// for x in x1..x2{
|
// for x in x1..x2{
|
||||||
// for y in y1..y2{
|
// for y in y1..y2{
|
||||||
// draw_window[[y, x]] = draw_window[[y, x]] as f64 + self.weight;
|
// draw_window[[y, x]] = draw_window[[y, x]] as f64 + self.weight;
|
||||||
|
|
@ -139,9 +140,9 @@ impl HaarClassifier {
|
||||||
|
|
||||||
// root: <opencv_storage>
|
// root: <opencv_storage>
|
||||||
let root_el = doc.root().first_element_child().unwrap();
|
let root_el = doc.root().first_element_child().unwrap();
|
||||||
println!("{:?}", root_el);
|
// println!("{:?}", root_el);
|
||||||
let cascade = root_el.first_element_child().unwrap();
|
let cascade = root_el.first_element_child().unwrap();
|
||||||
println!("{:?}", cascade);
|
// println!("{:?}", cascade);
|
||||||
|
|
||||||
let features_el = cascade.children().find(|n| n.is_element() && n.has_tag_name("features")).unwrap();
|
let features_el = cascade.children().find(|n| n.is_element() && n.has_tag_name("features")).unwrap();
|
||||||
let stages_el = cascade.children().find(|n| n.is_element() && n.has_tag_name("stages")).unwrap();
|
let stages_el = cascade.children().find(|n| n.is_element() && n.has_tag_name("stages")).unwrap();
|
||||||
|
|
@ -330,7 +331,7 @@ impl HaarClassifier {
|
||||||
// }
|
// }
|
||||||
|
|
||||||
/// take an ImageBuffer and scan it for faces.
|
/// take an ImageBuffer and scan it for faces.
|
||||||
pub fn scan_image(&self, frame: image::ImageBuffer<image::Rgb<u8>, Vec<u8>>) -> Result<Outcome, String> {
|
pub fn scan_image(&self, frame: image::ImageBuffer<image::Rgb<u8>, Vec<u8>>, heatmap: &Option<heatmap::Heatmap>) -> Result<Outcome, String> {
|
||||||
let img_bw = image::imageops::grayscale(&frame);
|
let img_bw = image::imageops::grayscale(&frame);
|
||||||
// let mut output_image = image::GrayImage::new(frame.width(), frame.height());
|
// let mut output_image = image::GrayImage::new(frame.width(), frame.height());
|
||||||
|
|
||||||
|
|
@ -341,7 +342,7 @@ impl HaarClassifier {
|
||||||
img_bw.dimensions().0 as usize,
|
img_bw.dimensions().0 as usize,
|
||||||
));
|
));
|
||||||
|
|
||||||
info!("Frame: {:?} {:?}", integral[[0,0]], integral[[integral.dim().0-1,integral.dim().1-1]]);
|
// info!("Frame: {:?} {:?}", integral[[0,0]], integral[[integral.dim().0-1,integral.dim().1-1]]);
|
||||||
|
|
||||||
// let rect = integral.slice(s![3..5, 2..4]);
|
// let rect = integral.slice(s![3..5, 2..4]);
|
||||||
|
|
||||||
|
|
@ -412,6 +413,16 @@ impl HaarClassifier {
|
||||||
|
|
||||||
// let dynamic = image::DynamicImage::ImageLuma8(img_bw);
|
// let dynamic = image::DynamicImage::ImageLuma8(img_bw);
|
||||||
let dynamic = image::DynamicImage::ImageLuma8(final_img);
|
let dynamic = image::DynamicImage::ImageLuma8(final_img);
|
||||||
|
let dynamic = match heatmap {
|
||||||
|
Some(hm) => {
|
||||||
|
// TODO remove intermediate DynamicImage conversin
|
||||||
|
image::DynamicImage::ImageRgb8(hm.convert_image(dynamic))
|
||||||
|
}
|
||||||
|
None => {
|
||||||
|
// no changes needed
|
||||||
|
dynamic
|
||||||
|
}
|
||||||
|
};
|
||||||
Ok(Outcome{
|
Ok(Outcome{
|
||||||
// frame: img_bw,
|
// frame: img_bw,
|
||||||
dynamic_img: dynamic,
|
dynamic_img: dynamic,
|
||||||
|
|
@ -439,6 +450,7 @@ impl HaarClassifier {
|
||||||
classifier.right
|
classifier.right
|
||||||
};
|
};
|
||||||
|
|
||||||
|
// TODO remove to use all stages (we need to speed up somewhere else)
|
||||||
// if i > 2{
|
// if i > 2{
|
||||||
// break;
|
// break;
|
||||||
// }
|
// }
|
||||||
|
|
|
||||||
Loading…
Reference in a new issue