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12 changed files with 257 additions and 965 deletions

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@ -87,36 +87,46 @@ fn run_all() -> Result<(), Box<dyn std::error::Error>> {
)?;
while running.load(Ordering::SeqCst) {
let key = highgui::wait_key(20)?;
let v = qualibration.draw_sequence();
if key != -1 {
println!("key: {key}");
// 81 <- -> 83
}
//let _t = _framerate_handler.handle_time()?;
/////////////////
let key = highgui::wait_key(1)?;
qualibration.param.key = key;
if key == 27 {
if qualibration.param.capture_mode {
qualibration.param.save_image()?;
}
break;
} else if v.is_none() {
continue;
}
if qualibration.param.capture_mode {
let pl: Vec<(f32, f32, u32)> = v
.unwrap()
.iter()
.map(|pt| (pt.x, pt.y, u32::from(pt.color)))
.collect();
con.set(
format!("/pl/{}/{}", config.client_id, config.laser_id),
format!("{:?}", pl),
)?;
}
let v = qualibration.draw_sequence();
if v.is_some() {
if qualibration.param.capture_mode {
let pl: Vec<(f32, f32, u32)> = v
.unwrap()
.iter()
.map(|pt| (pt.x, pt.y, u32::from(pt.color)))
.collect();
qualibration.run_step()?;
let _ = con.set(
format!("/pl/{}/{}", config.client_id, config.laser_id),
format!("{:?}", pl),
)?;
}
qualibration.run_step()?;
}
//qualibration.id = next_id;
//let q_id = qualibration.id.clone();
//let mut n = 65534;
//if let Sequence::TakeMultiple(m) = q_id.clone().unwrap_or(Sequence::Finish) {
// n = m;
//};
//if qualibration.capture_mode
// && (q_id != Some(Sequence::WaitSpace)
// || q_id != Some(Sequence::PlayLineDotted)
// || n != 65534)
//{
// let millis = std::time::Duration::from_millis(400); // TODO: find solution to know when change has been done
// std::thread::sleep(millis);
//}
}
let _ = con.set(
@ -125,21 +135,3 @@ fn run_all() -> Result<(), Box<dyn std::error::Error>> {
)?;
Ok(())
}
//let _t = _framerate_handler.handle_time()?;
/////////////////
//qualibration.id = next_id;
//let q_id = qualibration.id.clone();
//let mut n = 65534;
//if let Sequence::TakeMultiple(m) = q_id.clone().unwrap_or(Sequence::Finish) {
// n = m;
//};
//if qualibration.capture_mode
// && (q_id != Some(Sequence::WaitSpace)
// || q_id != Some(Sequence::PlayLineDotted)
// || n != 65534)
//{
// let millis = std::time::Duration::from_millis(400); // TODO: find solution to know when change has been done
// std::thread::sleep(millis);
//}

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@ -37,7 +37,7 @@ pub struct Qualibration {
}
impl Qualibration {
pub fn new() -> Result<Self, Box<dyn std::error::Error>> {
pub fn new() -> Result<Self> {
//let v: Vec<Box<dyn Sequence>> = vec![];
let mut dir_name = "".to_string(); //"building.jpg".to_string(); // by default
@ -54,22 +54,24 @@ impl Qualibration {
let mut frame = Mat::default();
cam.read(&mut frame)?;
// 9830400 -> r:150, v:0, b:0
let beg = Point::from((0., 0., 9830400));
let beg2 = Point::from((0., 4095., 9830400));
let end = Point::from((4095., 4095., 9830400));
// 38400 -> r:150, v:0, b:0
let beg = Point::from((0., 0., 38400));
let beg2 = Point::from((4095., 0., 38400));
let end = Point::from((4095., 4095., 38400));
let seq: Vec<Box<dyn Sequence>> = vec![
Box::new(WaitSpace::new(beg, end, 400)),
Box::new(InitBorder::new(beg, end, 400)),
Box::new(LineDotted::new(beg, end, 2, true, false, 400)),
//Box::new(InitIdcode::new(beg2, end, 400)),
Box::new(LoadImage::new()),
Box::new(WaitSpace::new(beg, end)),
Box::new(InitBorder::new(beg, end)),
Box::new(LineDotted::new(beg, end, true, false)),
Box::new(InitIdcode::new(beg2, end)),
Box::new(SaveImage::new()),
];
let seq_names = get_sequence_name(&seq);
let mut param = Param::new(dir_name.to_owned(), seq_names)?;
if !param.capture_mode {
param.load_image()?;
}
Ok(Qualibration { seq, cam, param })
//let now = std::time::Instant::now();
Ok(Qualibration {
seq,
cam,
param: Param::new(dir_name.to_owned())?,
})
}
pub fn draw_sequence(&mut self) -> Option<Vec<Point>> {
@ -90,23 +92,7 @@ impl Qualibration {
}
pub fn run_step(self: &mut Self) -> Result<(), Box<dyn std::error::Error>> {
let seq_id = self.param.seq_id;
let seq_name = self.seq[seq_id].sequence_name();
println!("\n\n\n\n\n\n\n\n");
println!("\t\t==================================================================");
println!("\t\t==================================================================");
println!("\t\t==================================================================");
println!("\n\n\n\n\n\n\n\n");
println!("seq[{seq_id}]: {seq_name}");
if self.param.capture_mode {
let millis_nb = self.seq[self.param.seq_id].wait_milis();
let millis = std::time::Duration::from_millis(millis_nb); // TODO: find solution to know when change has been done
std::thread::sleep(millis);
}
let mut frame = Mat::default();
//println!("sequence: {}:{:?}", self.param.seq_id, &self.seq[self.param.seq_id]);
if self.param.capture_mode {
self.cam.read(&mut frame)?;
highgui::imshow("camera", &frame)?;
@ -123,13 +109,3 @@ impl Qualibration {
Ok(())
}
}
pub fn get_sequence_name(seq: &Vec<Box<dyn Sequence>>) -> Vec<String> {
let mut v = vec![];
for i in 0..seq.len() {
v.push(seq[i].sequence_name());
}
v
}

View File

@ -1,4 +1,3 @@
use std::cmp::Ordering;
use std::collections::HashSet;
use std::f64::consts::PI;
@ -68,45 +67,6 @@ pub fn draw_histograme_dbg(
Ok(())
}
#[allow(dead_code)]
pub fn draw_histograme_log(window_name: &str, histo: &Vec<f64>, is_log: bool) -> Result<()> {
let v: VecN<f64, 4> = VecN::new(0., 0., 0., 255.);
let color: VecN<f64, 4> = VecN::new(210., 210., 255., 255.);
let mut img = Mat::new_rows_cols_with_default(
histo.len() as i32 * 2,
histo.len() as i32 * 2,
CV_8UC3,
v,
)?;
let mut max = f64::MIN;
for i in 0..histo.len() {
if histo[i] > max {
max = histo[i];
}
}
for i in 0..(histo.len() - 1) {
let x1 = ((i + 0) * 2) as i32;
let x2 = ((i + 1) * 2) as i32;
let (y1, y2);
if is_log {
y1 = ((1.-((histo[i + 0] as f64 + 1.).log10() / (max as f64).log10())) * 512.) as i32;
y2 = ((1.-((histo[i + 1] as f64 + 1.).log10() / (max as f64).log10())) * 512.) as i32;
} else {
y1 = ((1. - ((histo[i + 0] as f64) / (max as f64))) * 512.) as i32;
y2 = ((1. - ((histo[i + 1] as f64) / (max as f64))) * 512.) as i32;
}
let pt1 = OcvPoint::new(x1, y1);
let pt2 = OcvPoint::new(x2, y2);
line(&mut img, pt1, pt2, color, 1, LINE_AA, 0)?;
}
highgui::imshow(window_name, &img)?;
Ok(())
}
#[allow(dead_code)]
pub fn draw_histograme(window_name: &str, histo: &Vec<f64>) -> Result<()> {
let v: VecN<f64, 4> = VecN::new(0., 0., 0., 255.);
@ -419,618 +379,6 @@ pub fn get_horizontal_segment(m: &Mat) -> Result<Vec<(((f32, f32), (f32, f32)),
Ok(segments)
}
#[derive(Debug)]
struct Line {
h_lst: HashSet<(i32, i32)>,
v_lst: Vec<Pt>,
line: Vec<Pt>,
nb_liss: i32,
}
impl Line {
pub fn new(
pt_all: &mut HashSet<(i32, i32)>,
y_ordering: bool,
beg_lowest: bool,
nb_liss: i32,
) -> Self {
let mut illand = Line {
h_lst: HashSet::new(),
v_lst: vec![],
line: vec![],
nb_liss,
};
if pt_all.len() <= 0 {
return illand;
}
//dbg!(&pt_all);
illand.populate_hlst(pt_all);
illand.define_line();
//println!("");
//illand.define_beg_end(false, beg_lowest);
//dbg!(&illand);
illand
}
//fn define_beg_end(&mut self, y_ordering: bool, beg_lowest: bool) {
// // on a tout les point ordonner
// // on peut les re-ordonner selon un axes interne
//}
fn define_line(&mut self) {
// la ca va etre marant.
//
let mut last_id = 0;
let to_look = [
(-1, -1),
(0, -1),
(1, -1),
(1, 0),
(1, 1),
(0, 1),
(-1, 1),
(-1, 0),
];
if self.h_lst.len() == 0 {
return;
}
// search botom-left point.
let mut first = (i32::MAX / 2, 0);
self.h_lst.iter().for_each(|(x, y)| {
if *y > first.1 || (*y == first.1 && *x < first.0) {
first = (*x, *y);
}
});
println!("\nfirst: {first:?}\n");
let mut ll = self.h_lst.clone();
let mut l = vec![first];
let (mut px, mut py) = first;
ll.remove(&first);
// adding all borders point to a line
'line: loop {
for k in 0..to_look.len() {
//let id = (k + last_id) % to_look.len();
let (i, j) = to_look[(k + last_id) % to_look.len()];
if ll.get(&(i + px, j + py)).is_some() {
l.push((i + px, j + py));
ll.remove(&(i + px, j + py));
(px, py) = (i + px, j + py);
last_id = (k + last_id + to_look.len() - 2) % to_look.len();
continue 'line;
}
}
break;
}
let (mut min_y, mut max_y) = (f64::MAX, f64::MIN);
let mut l_tmp: Vec<Pt> = l
.iter()
.map(|(x, y)| {
min_y = (*y as f64).min(min_y);
max_y = (*y as f64).max(max_y);
Pt {
x: *x as f64,
y: *y as f64,
}
})
.collect();
// lissage des point
let raw_pt = l_tmp.clone();
//println!("[1]raw_pt:{:?}", &raw_pt);
let nb_liss = self.nb_liss * 2;
let (c1, c2) = (1., 48.);
for i in 0..nb_liss {
let mut nl = vec![];
for i in 0..l_tmp.len() {
let (id_prev, id_next) =
((i + l_tmp.len() - 1) % l_tmp.len(), (i + 1) % l_tmp.len());
let (prev, pt, next) = (l_tmp[id_prev], l_tmp[i], l_tmp[id_next]);
nl.push((prev * c1 + pt * c2 + next * c1) / (2. * c1 + c2));
}
l_tmp = nl;
}
let mut histo_ang = vec![0.; 256];
let mut length_max = 0.;
for i in 0..l_tmp.len() {
let next = l_tmp[(i + 1) % l_tmp.len()];
let diff = next - l_tmp[i];
let ang = diff.y.atan2(diff.x);
let id = ((((ang + PI) / (2. * PI)) * 255.) as usize) % 256;
let length = (diff.x * diff.x + diff.y * diff.y).sqrt();
length_max = length.max(length_max);
histo_ang[id] += 1.;
}
let _ = draw_histograme_log("histo ang", &histo_ang, false);
let mut histo_ang_diff = vec![0.; 256];
let mirange = 3;
let mut id_out = vec![0];
for i in 0..l_tmp.len() {
let next = l_tmp[(i + 1) % l_tmp.len()];
let next2 = l_tmp[(i + 2) % l_tmp.len()];
let diff1 = next - l_tmp[i];
let diff2 = next2 - next;
let ang1 = diff1.y.atan2(diff1.x);
let ang2 = diff2.y.atan2(diff2.x);
let id = (((((ang2 - ang1) + PI) / (2. * PI)) * 255.) as usize) % 256;
if !(id >= 128 - mirange && id <= 128 + mirange) {
id_out.push(i);
//println!("id:{i}");
}
histo_ang_diff[id] += 1.;
}
let _ = draw_histograme_log("histo ang diff", &histo_ang_diff, true);
//let mut histo_lenght = vec![0.; 256];
//for i in 0..l_tmp.len() {
// let next = l_tmp[(i + 1) % l_tmp.len()];
// let diff = next - l_tmp[i];
// //let ang = diff.y.atan2(diff.x);
// //let ang_id = ((ang / (2. * PI) * 256.) as usize) % 256;
// let length = (diff.x * diff.x + diff.y * diff.y).sqrt();
// let id = (length / length_max * 255.) as usize % 256;
// histo_lenght[id] += 1.;
//}
// draw histo ang
// draw histo dst
//let _ = draw_histograme_log("histo length", &histo_lenght, false);
// opposite side
// Le but c'est de trouver le point le plus proche mais pas un point voisin
// On va le dessiner pour une partie des point seulement
let mut diff = vec![];
for i in 0..id_out.len()-1 {
let d = id_out[i+1] - id_out[i];
diff.push((d, id_out[i], id_out[i+1]));
}
diff.sort_by(|a, b| {
match (a.0, b.0) {
(a, b) if a < b => Ordering::Greater,
(a, b) if a == b => Ordering::Equal,
_ => Ordering::Less,
}
});
if diff.len() < 2 {
return ;
}
let mut dio = vec![diff[0], diff[1]];
dio.sort_by(|a, b| {
match (a.1, b.1) {
(a, b) if a > b => Ordering::Greater,
(a, b) if a == b => Ordering::Equal,
_ => Ordering::Less,
}
});
//dbg!("diff:", &diff[..3]);
//dbg!(&id_out);
dbg!(&dio);
//*
////println!("[2]raw_pt:{:?}", &raw_pt);
//let left: Vec<Pt> = raw_pt[dio[0].1..=dio[0].2].into();
//let mut right = vec![];
//for i in (dio[1].1..=dio[1].2).rev() {
////for i in (id_out[1]..=id_out[2]).rev() {
// right.push(raw_pt[i]);
//}
//println!("[2]raw_pt:{:?}", &raw_pt);
let left: Vec<Pt> = l_tmp[dio[0].1..=dio[0].2].into();
let mut right = vec![];
for i in (dio[1].1..=dio[1].2).rev() {
//for i in (id_out[1]..=id_out[2]).rev() {
right.push(l_tmp[i]);
}
let mut couple = vec!();
let nb_jump = 10;
let mut id_last = 0;
let range_id = 20;
for i in 0..left.len() {
//if i % nb_jump == 0 {
let mut dist = vec![];
let from = (id_last as i32 - range_id as i32).max(0) as usize;
let to = (id_last + range_id).min(right.len()-1);
for id in from..=to {
let df = right[id] - left[i];
let dst = (df.cross(&df)).sqrt();
dist.push((id, dst));
}
dist.sort_by(|a, b| {
if a.1 > b.1 {
Ordering::Greater
} else if a.1 == b.1 {
Ordering::Equal
} else {
Ordering::Less
}
});
//println!("closest: {:?}", &dist[0]);
id_last = dist[0].0; //dbg!(dist);
couple.push((left[i], right[id_last]));
//}
}
let l3: Vec<Pt> = couple.iter().map(|(l, r)| (*l+*r)/2.).collect();
//*/
//
//let space = 100;
//let dst = 30;
//for i in 0..l_tmp.len() {
// if i % space == 0 {
// //
// }
//}
self.line = l3;
println!("rest:{}\t", ll.len());
}
/// the function also set: self.v_lst
fn populate_hlst(&mut self, pt_all: &mut HashSet<(i32, i32)>) {
let first = pt_all.iter().next().unwrap();
let mut added = HashSet::from([(first.0, first.1)]);
let to_look = [
(-1, 0),
(0, -1),
(1, 0),
(0, 1),
(-1, -1),
(-1, 1),
(1, 1),
(1, -1),
];
self.h_lst.extend(&added);
while added.len() > 0 {
let mut tmp = HashSet::new();
for (x, y) in added {
for (i, j) in to_look {
if let Some(pt_new) = pt_all.get(&(x + i, y + j)) {
tmp.insert(*pt_new);
}
}
}
self.h_lst.extend(tmp.clone());
tmp.iter().for_each(|pt| {
pt_all.remove(pt);
});
added = tmp;
}
let mut tmp = HashSet::new();
self.h_lst.iter().for_each(|(x, y)| {
for (i, j) in to_look[..4].iter() {
if self.h_lst.get(&(x + i, y + j)).is_none() {
tmp.insert((*x, *y));
}
}
});
self.h_lst = tmp;
println!("\t\t\t\tfinal selecteted:{}", self.h_lst.len());
//dbg!(a);
//println!(I);
}
}
pub fn get_lines(
m: &Mat,
y_ordering: bool,
beg_lowest: bool,
nb_liss: i32,
) -> Result<Vec<Vec<Pt>>> {
// donc on va refaire un algo de detection de segement
// * on va chercher des illot:
// * chaque illo on lui definie des limit (min, max) sur x et y
// * on calcule le centre
let mut pt_inside = HashSet::new();
let (cols, rows) = (m.cols(), m.rows());
for j in 0..rows {
for i in 0..cols {
let v: &Point3_<u8> = m.at_2d(j, i)?;
if v.x != 0 && v.y != 0 && v.z != 0 {
pt_inside.insert((i, j));
}
}
}
println!("\tFlifou: {}\t\tpt_inserted:{}", line!(), pt_inside.len());
let mut lines = vec![];
while pt_inside.len() > 0 {
lines.push(Line::new(&mut pt_inside, y_ordering, beg_lowest, nb_liss));
}
println!("\tFlifou: {}\t\tnb_line:{}", line!(), lines.len());
// pour chaque ligne
Ok(lines.iter().map(|line| line.line.clone()).collect())
}
#[derive(Debug)]
struct Seg {
h_lst: HashSet<(i32, i32)>,
v_lst: Vec<Pt>,
min: Pt,
max: Pt,
center: Pt,
beg: Pt,
end: Pt,
}
impl Seg {
pub fn new(pt_all: &mut HashSet<(i32, i32)>, y_ordering: bool, beg_lowest: bool) -> Self {
let mut illand = Seg {
min: Pt::from((f64::MAX, f64::MAX)),
max: Pt::from((f64::MIN, f64::MIN)),
center: Pt::from((0., 0.)),
beg: Pt::from((0., 0.)),
end: Pt::from((0., 0.)),
h_lst: HashSet::new(),
v_lst: vec![],
};
if pt_all.len() <= 0 {
return illand;
}
//dbg!(&pt_all);
illand.populate_hlst(pt_all);
//println!("");
illand.define_beg_end(false, beg_lowest);
//dbg!(&illand);
illand
}
//fn define_beg_end(&mut self, y_ordering: bool, beg_lowest: bool) {
// // on a tout les point ordonner
// // on peut les re-ordonner selon un axes interne
//}
/// the function also set: self.v_lst
fn populate_hlst(&mut self, pt_all: &mut HashSet<(i32, i32)>) {
let first = pt_all.iter().next().unwrap();
let mut added = HashSet::from([(first.0, first.1)]);
let to_look = [
(-1, 0),
(0, -1),
(1, 0),
(0, 1),
(-1, -1),
(-1, 1),
(1, 1),
(1, -1),
];
self.h_lst.extend(&added);
while added.len() > 0 {
let mut tmp = HashSet::new();
for (x, y) in added {
for (i, j) in to_look {
if let Some(pt_new) = pt_all.get(&(x + i, y + j)) {
tmp.insert(*pt_new);
}
}
}
self.h_lst.extend(tmp.clone());
tmp.iter().for_each(|pt| {
pt_all.remove(pt);
});
added = tmp;
}
// calcule min, max, center
self.h_lst.iter().for_each(|(x, y)| {
self.min.x = (*x as f64).min(self.min.x);
self.max.x = (*x as f64).max(self.max.x);
self.min.y = (*y as f64).min(self.min.y);
self.max.y = (*y as f64).max(self.max.y);
self.center.x += *x as f64;
self.center.y += *y as f64;
});
self.center /= self.h_lst.len() as f64;
self.v_lst = self
.h_lst
.iter()
.map(|(x, y)| Pt {
x: (*x as f64),
y: (*y as f64),
})
.collect();
}
/// y_ordering: means we ordering vertically. Else we ordering horizontay
/// beg_lowest: means first value are the lowset. Else first value are the biggest
fn define_beg_end(&mut self, y_ordering: bool, beg_lowest: bool) {
let pts: Vec<Pt> = self
.h_lst
.iter()
.map(|(x, y)| {
Pt {
x: (*x as f64),
y: (*y as f64),
} - self.center
})
.collect();
let y_cmp = |pt_a: &Pt, pt_b: &Pt| {
if (pt_a.y > pt_b.y) == beg_lowest {
Ordering::Greater
} else if pt_a.y == pt_b.y {
if pt_a.x.abs() > pt_b.x.abs() {
Ordering::Greater
} else if pt_a.x.abs() == pt_b.x.abs() {
Ordering::Equal
} else {
Ordering::Less
}
} else {
Ordering::Less
}
};
let x_cmp = |pt_a: &Pt, pt_b: &Pt| {
if (pt_a.x > pt_b.x) == beg_lowest {
Ordering::Greater
} else if pt_a.x == pt_b.x {
if pt_a.y.abs() > pt_b.y.abs() {
Ordering::Greater
} else if pt_a.y.abs() == pt_b.y.abs() {
Ordering::Equal
} else {
Ordering::Less
}
} else {
Ordering::Less
}
};
//println!("\n\nserching axes:");
// finding by dichotomie
// finding best central axes.
let mut begin = 0.;
let mut len = 8.;
let nb_deg = 8;
let nb_iter = 20;
let mut id_min = 0;
let mut v_max_x = vec![];
for _iter in 0..nb_iter {
//println!("iter:{_iter}");
v_max_x = vec![];
for i in 0..(nb_deg + 2) {
let rad = (i as f64 - 1.) / len * PI + begin;
let axes_x = Pt::from((rad.cos(), rad.sin()));
let axes_y = Pt::from((-rad.sin(), rad.cos()));
let new_base: Vec<Pt> = pts
.iter()
.map(|pt| Pt::from((pt.cross(&axes_x), pt.cross(&axes_y))))
.collect();
let mut max_x = 0.;
new_base.iter().for_each(|pt| {
if pt.x.abs() > max_x {
max_x = pt.x.abs();
}
});
//println!("\t[i:{i}]rad:{rad:32.26}\tval: {max_x}");
v_max_x.push((rad, max_x));
}
id_min = 0;
for i in 1..=nb_deg {
let (p, n, a) = (v_max_x[i - 1].1, v_max_x[i].1, v_max_x[i + 1].1);
let cnd = (y_ordering && n <= p && n <= a) || (!y_ordering && n >= p && n >= a);
id_min = if cnd { i - 1 } else { id_min };
}
begin = v_max_x[id_min].0;
len *= 4.;
}
let rad = v_max_x[id_min + 1].0;
let axes_x = Pt::from((rad.cos(), rad.sin()));
let axes_y = Pt::from((-rad.sin(), rad.cos()));
let mut npts: Vec<Pt> = pts
.iter()
.map(|pt| Pt::from((pt.cross(&axes_x), pt.cross(&axes_y))))
.collect();
if y_ordering {
npts.sort_by(y_cmp);
} else {
npts.sort_by(x_cmp);
}
let mut beg = Pt::from((0., 0.));
for pt in npts[..(npts.len() / 2)].iter() {
beg += *pt;
}
beg /= (npts.len() / 2) as f64;
let mut end = Pt::from((0., 0.));
for pt in npts[(npts.len() / 2)..].iter() {
end += *pt;
}
end /= (npts.len() - (npts.len() / 2)) as f64;
let beg_tmp = axes_x * beg.x + axes_y * beg.y + self.center;
let end_tmp = axes_x * end.x + axes_y * end.y + self.center;
self.beg = (beg_tmp - end_tmp) * 1.5 + end_tmp;
self.end = (end_tmp - beg_tmp) * 1.5 + beg_tmp;
}
}
pub fn get_segment(
m: &Mat,
y_ordering: bool,
beg_lowest: bool,
) -> Result<Vec<((f64, f64), (f64, f64))>> {
// donc on va refaire un algo de detection de segement
// * on va chercher des illot:
// * chaque illo on lui definie des limit (min, max) sur x et y
// * on calcule le centre
let mut pt_inside = HashSet::new();
let (cols, rows) = (m.cols(), m.rows());
for j in 0..rows {
for i in 0..cols {
let v: &Point3_<u8> = m.at_2d(j, i)?;
if v.x != 0 && v.y != 0 && v.z != 0 {
pt_inside.insert((i, j));
}
}
}
let mut illands = vec![];
while pt_inside.len() > 0 {
illands.push(Seg::new(&mut pt_inside, y_ordering, beg_lowest));
}
//todo!();
if y_ordering {
illands.sort_by(|a, b| {
if beg_lowest && a.center.y > b.center.y || !beg_lowest && a.center.y < b.center.y {
Ordering::Greater
} else if a.center.y == b.center.y {
Ordering::Equal
} else {
Ordering::Less
}
});
} else {
illands.sort_by(|a, b| {
if beg_lowest && a.center.x > b.center.x || !beg_lowest && a.center.x < b.center.x {
Ordering::Greater
} else if a.center.x == b.center.x {
Ordering::Equal
} else {
Ordering::Less
}
});
}
let segments = illands
.iter()
.map(|illand| ((illand.beg.x, illand.beg.y), (illand.end.x, illand.end.y)))
.collect();
Ok(segments)
}
// On cherche des segment regourper par ilot de point. chaque illot a une plage de valeur en y qui
// lui est propre, aucun autre ilot aura des point dans une plage de valeurs d'un autre illot.
pub fn get_vertical_segment(m: &Mat) -> Result<Vec<(((f32, f32), (f32, f32)), f32)>> {
@ -1115,7 +463,7 @@ pub fn get_vertical_segment(m: &Mat) -> Result<Vec<(((f32, f32), (f32, f32)), f3
}
center /= iland.len() as f64;
let max_deg = 8;
let max_deg = 360;
let (mut _err_min, mut rad_min, mut x_min) = (f64::MAX, 0., f64::MAX);
let mut iland_min = vec![];
for deg in 0..max_deg {
@ -1128,6 +476,7 @@ pub fn get_vertical_segment(m: &Mat) -> Result<Vec<(((f32, f32), (f32, f32)), f3
x: -y_axis.y,
y: y_axis.x,
};
let mut _err = 0.;
let mut tmp_iland = vec![];
let mut x_abs_max = f64::MIN;
for pt in iland {
@ -1136,6 +485,7 @@ pub fn get_vertical_segment(m: &Mat) -> Result<Vec<(((f32, f32), (f32, f32)), f3
x: p.cross(&x_axis),
y: p.cross(&y_axis),
};
_err += p.x * p.x;
tmp_iland.push(p);
if x_abs_max < p.x.abs() {
x_abs_max = p.x.abs();
@ -1146,6 +496,11 @@ pub fn get_vertical_segment(m: &Mat) -> Result<Vec<(((f32, f32), (f32, f32)), f3
rad_min = rad;
iland_min = tmp_iland;
}
//if _err < _err_min {
// err_min = _err;
// rad_min = rad;
// iland_min = tmp_iland;
//}
}
iland_min.sort_by(|pta, ptb| {
if pta.y < ptb.y {
@ -1464,7 +819,6 @@ pub fn trackbar_init_param(mem: &mut Param, winname: &str) -> Result<()> {
create_trackbar("nb_all", winname, Some(&mut mem.nb_all), 400, None)?;
create_trackbar("nb_visible", winname, Some(&mut mem.nb_visible), 400, None)?;
create_trackbar("nb_wait", winname, Some(&mut mem.nb_wait), 40, None)?;
create_trackbar("r", winname, Some(&mut mem.r), MAX_TRACKBAR, None)?;
create_trackbar("g", winname, Some(&mut mem.g), MAX_TRACKBAR, None)?;
create_trackbar("b", winname, Some(&mut mem.b), MAX_TRACKBAR, None)?;
@ -1560,7 +914,7 @@ pub fn line_pos(mem: &mut Param, winname: &str) -> Result<()> {
pub fn adding_trackbar(mem: &mut Param, _winname: &str) -> Result<()> {
//println!("winname: {winname}");
//line_pos(&mut mem, "Play Line")?;
trackbar_init_param(mem, "init_param")?;
//trackbar_init_param(mem, "init_param")?;
named_window("histo bgr", WINDOW_AUTOSIZE)?;
associate_trackbar("histo bgr", &mut mem.tresh)?;

View File

@ -10,7 +10,6 @@ use std::time::Instant;
#[derive(Clone, Debug)]
pub struct Param {
pub seq_id: usize,
pub seq_names: Vec<String>,
pub imgs: Vec<Vec<Mat>>,
pub dst_size: i32,
pub r: i32,
@ -36,7 +35,7 @@ pub struct Param {
}
impl Param {
pub fn new(dir_name: String, seq_names: Vec<String>) -> Result<Self> {
pub fn new(dir_name: String) -> Result<Self> {
Ok(Self {
begin: std::time::Instant::now(),
capture_mode: dir_name.len() == 0,
@ -44,16 +43,15 @@ impl Param {
key: -1,
imgs: vec![vec![]],
seq_id: 0,
seq_names,
dst_size: 900,
r: 150,
g: 0,
b: 0,
nb_all: 120,
nb_visible: 40,
nb_liss: 100,
nb_wait: 3,
tresh: Treshold::new("histogram", 170, 255)?,
nb_liss: 10,
nb_wait: 30,
tresh: Treshold::new("histogram", 160, 255)?,
canny_v1: 170,
canny_v2: 255,
hough_param: HoughLine {
@ -82,11 +80,11 @@ impl Param {
);
create_dir(&new_dir).unwrap_or(());
for (i, img_seq) in self.imgs.iter().enumerate() {
let seq_dir_name = format!("{new_dir}/seq_{i}_{}", self.seq_names[i]);
let seq_dir_name = format!("{new_dir}/{i}");
create_dir(&seq_dir_name).unwrap_or(());
for (id, img) in img_seq.iter().enumerate() {
for img in img_seq {
let mut name_img = format!("{seq_dir_name}/");
name_img.push_str(&format!("img_{id}.png"));
name_img.push_str(&format!("img_{i}.png"));
imwrite(&name_img, img, &Vector::from_slice(&[6, 6, 6, 0]))?;
}
}
@ -102,16 +100,11 @@ impl Param {
let dir = entry?;
let path = dir.path(); // sequence directory
let names: Vec<&str> = path.to_str().unwrap().split("/").collect();
let parts: Vec<&str> = names[names.len() - 1].split("_").collect();
let nbr = parts[1];
//println!("\t\t=> '{}'", names[names.len() - 1]);
let seq_id: usize = parts[1].parse()?;
let seq_id: usize = names[names.len() - 1].parse()?;
for entry in read_dir(&path)? {
let sub_path = entry?.path();
let names: Vec<&str> = sub_path.to_str().unwrap().split("/").collect();
let names: Vec<&str> = path.to_str().unwrap().split("/").collect();
let img_name = names[names.len() - 1];
//println!("all_names: {:?}", &names);
//println!("img_name: {}", img_name);
let img_id: usize = img_name[4..img_name.len() - 4].parse()?;
let img: Mat = imread(
&find_file(&sub_path.to_str().unwrap(), false, false)?,

View File

@ -18,8 +18,6 @@ pub trait Sequence {
fn draw(&self, mem: &Param) -> Option<Vec<Point>>;
fn compute_sequence(&mut self, mem: &mut Param) -> Result<(), Box<dyn std::error::Error>>;
fn is_capture(&self) -> bool;
fn sequence_name(&self) -> String;
fn wait_milis(&self) -> u64;
}
impl std::fmt::Debug for dyn Sequence {

View File

@ -7,14 +7,13 @@ use crate::qualibration::{
use crate::qualibration::annalyse::image_diff;
use crate::qualibration::borders::{
bord_mult, get_extermities, get_intersection, mix_borders, probabilistic_hough,
bord_mult, get_extermities, get_intersection, probabilistic_hough,
};
use opencv::{
calib3d,
core::{Mat, Point as OcvPoint, Scalar, Size, VecN, Vector, BORDER_CONSTANT},
highgui,
imgproc::{self, canny, cvt_color, line, COLOR_BGR2GRAY},
core::{Mat, Point as OcvPoint, Size, VecN, Vector},
imgproc::{canny, cvt_color, COLOR_BGR2GRAY},
Result,
};
@ -31,11 +30,10 @@ pub struct InitBorder {
finished: bool,
cnt: usize,
borders: [Point; 4],
nb_millis: u64,
}
impl InitBorder {
pub fn new(beg: Point, end: Point, nb_millis: u64) -> Self {
pub fn new(beg: Point, end: Point) -> Self {
InitBorder {
borders: [
Point {
@ -59,7 +57,6 @@ impl InitBorder {
color: end.color,
},
],
nb_millis,
cnt: 0,
finished: false,
}
@ -70,7 +67,7 @@ impl Sequence for InitBorder {
//type Obj = Self;
fn draw(&self, mem: &Param) -> Option<Vec<Point>> {
if self.cnt > self.borders.len() || self.finished {
if self.cnt > self.borders.len() {
return None;
}
if self.cnt == self.borders.len() {
@ -129,19 +126,19 @@ impl Sequence for InitBorder {
let border_pt = get_intersection(&bords_pts);
mem.border_pt = bord_mult(border_pt, 1.1);
// on dessine le cadre
let color: VecN<f64, 4> = VecN::new(255., 128., 0., 255.);
let mut mixed = mix_borders(&background, borders)?;
let b = &mem.border_pt;
for i in 0..b.len() {
let j = (i + 1) % mem.border_pt.len();
let pa = VecN::from_array([b[i].0 as i32, b[i].1 as i32]);
let pb = VecN::from_array([b[j].0 as i32, b[j].1 as i32]);
let a = OcvPoint::from_vec2(pa);
let b = OcvPoint::from_vec2(pb);
line(&mut mixed, a, b, color, 1, LINE_AA, 0)?;
}
highgui::imshow("mixed bored", &mixed)?;
//// on dessine le cadre
//let color: VecN<f64, 4> = VecN::new(255., 128., 0., 255.);
//let mut mixed = mix_borders(&background, borders)?;
//let b = &mem.border_pt;
//for i in 0..b.len() {
// let j = (i + 1) % mem.border_pt.len();
// let pa = VecN::from_array([b[i].0 as i32, b[i].1 as i32]);
// let pb = VecN::from_array([b[j].0 as i32, b[j].1 as i32]);
// let a = OcvPoint::from_vec2(pa);
// let b = OcvPoint::from_vec2(pb);
// line(&mut mixed, a, b, color, 1, LINE_AA, 0)?;
//}
//highgui::imshow("mixed bored", &mixed)?;
// on calcule l'homography
let size = mem.dst_size;
@ -153,7 +150,7 @@ impl Sequence for InitBorder {
.map(|(x, y)| OcvPoint::new(*x as i32, *y as i32))
.collect();
//let dst = [(0, 0), (0, size), (size, size), (size, 0)]; // in: laser repere
let dst = [(size, size), (size, 0), (0, 0), (0, size)];
let dst = [(0, size), (0, 0), (size, 0), (size, size)];
let dst_corners: Vec<OcvPoint> = dst.iter().map(|(x, y)| OcvPoint::new(*x, *y)).collect();
let roi_corners_mat = Mat::from_slice(&roi_corners[..])?;
let dst_corners_mat = Mat::from_slice(&dst_corners)?;
@ -166,17 +163,17 @@ impl Sequence for InitBorder {
)?; //get homography
mem.homography = h.clone();
mem.h_size = warped_image_size.clone();
let mut warped_image = Mat::default();
imgproc::warp_perspective(
&mixed,
&mut warped_image,
&h,
warped_image_size,
imgproc::INTER_CUBIC, // I dont see difference with INTER_CUBIC
BORDER_CONSTANT,
Scalar::default(),
)?; // do perspective transformation
highgui::imshow("Warped Image", &warped_image)?;
//let mut warped_image = Mat::default();
//imgproc::warp_perspective(
// &mixed,
// &mut warped_image,
// &h,
// warped_image_size,
// imgproc::INTER_CUBIC, // I dont see difference with INTER_CUBIC
// core::BORDER_CONSTANT,
// Scalar::default(),
//)?; // do perspective transformation
//highgui::imshow("Warped Image", &warped_image)?;
self.finished = true;
Ok(())
}
@ -184,14 +181,6 @@ impl Sequence for InitBorder {
fn is_capture(&self) -> bool {
true
}
fn sequence_name(&self) -> String {
"Init_Border".to_owned()
}
fn wait_milis(&self) -> u64 {
self.nb_millis
}
}
pub fn get_lines(

View File

@ -2,7 +2,7 @@ use crate::{
draw::draw_line_dotted,
point::Point,
qualibration::{
annalyse::{get_horizontal_segment, get_vertical_segment, image_diff},
annalyse::{get_horizontal_segment, image_diff},
compute_image::{image_treshold, image_warp},
param::Param,
Sequence,
@ -29,17 +29,15 @@ pub struct InitIdcode {
cnt: usize,
beg: Point,
end: Point,
nb_millis: u64,
}
impl InitIdcode {
pub fn new(beg: Point, end: Point, nb_millis: u64) -> InitIdcode {
pub fn new(beg: Point, end: Point) -> InitIdcode {
InitIdcode {
finished: false,
cnt: 0,
beg,
end,
nb_millis,
}
}
}
@ -101,16 +99,7 @@ impl Sequence for InitIdcode {
self.finished = true;
Ok(())
}
fn is_capture(&self) -> bool {
true
}
fn sequence_name(&self) -> String {
"init_Id-Code".to_owned()
}
fn wait_milis(&self) -> u64 {
self.nb_millis
}
}

View File

@ -1,20 +1,17 @@
use crate::{
point::{Color, Point},
qualibration::{
annalyse::{
draw_histograme_bgr_tresh, get_horizontal_segment, get_lines, get_segment,
get_vertical_segment, histogram_3d, image_diff,
},
compute_image::{image_treshold, image_warp},
param::Param,
Sequence,
use crate::point::{Color, Point};
use crate::qualibration::{
annalyse::{
draw_histograme_bgr_tresh, get_horizontal_segment, get_vertical_segment, histogram_3d,
image_diff,
},
param::Param,
Sequence,
};
use opencv::{
core::{bitwise_and, in_range, Mat, Point as OcvPoint, Scalar, VecN, BORDER_CONSTANT},
highgui,
imgproc::{self, line},
prelude::*,
Result,
};
@ -23,7 +20,6 @@ opencv::opencv_branch_4! {
}
opencv::not_opencv_branch_4! {
use opencv::core::LINE_AA;
use opencv::imgproc::LINE_8;
}
#[derive(Debug, Clone)]
@ -34,19 +30,10 @@ pub struct LineDotted {
end: Point,
continuous_y: bool,
continuous_x: bool,
nb_millis: u64,
factor: usize,
}
impl LineDotted {
pub fn new(
beg: Point,
end: Point,
factor: usize,
continuous_y: bool,
continuous_x: bool,
nb_millis: u64,
) -> Self {
pub fn new(beg: Point, end: Point, continuous_y: bool, continuous_x: bool) -> Self {
Self {
finished: false,
cnt: 0,
@ -54,8 +41,6 @@ impl LineDotted {
end,
continuous_x,
continuous_y,
factor,
nb_millis,
}
}
}
@ -70,47 +55,36 @@ impl Sequence for LineDotted {
}
let nb_all = mem.nb_all;
let nb_wait = mem.nb_wait as usize;
//let nb_visible = mem.nb_visible as usize;
let len = (self.factor * mem.line_pos.len() + nb_wait) as f32;
let nb_visible = mem.nb_visible as usize;
let mut pl = vec![];
let black = Color { r: 0, g: 0, b: 0 };
let color = Color {
r: mem.r as u8,
g: mem.g as u8,
b: mem.b as u8,
};
// go to firsst point
let black = Color { r: 0, g: 0, b: 0 };
for _ in 0..nb_all {
pl.push(Point {
color: black,
..self.beg
});
}
// go on the continus_axes in black to gain speed
let len = (2 * mem.line_pos.len() + nb_wait) as f32;
for i in 0..nb_wait {
let val_x = self.end.x; //i as f32 / len * (self.end.x - self.beg.x) + self.beg.x;
let val_y = self.end.y; //i as f32 / len * (self.end.y - self.beg.y) + self.beg.y;
let val_x = i as f32 / len * (self.end.x - self.beg.x) + self.beg.x;
let val_y = i as f32 / len * (self.end.y - self.beg.y) + self.beg.y;
pl.push(Point {
x: if self.continuous_x { val_x } else { self.beg.x },
y: if self.continuous_y { val_y } else { self.beg.y },
color: black,
});
}
// donne each pose lavue acording to the slide bar value and the continus axes
for i in 0..(mem.line_pos.len() * self.factor) {
for i in 0..(mem.line_pos.len() * 2) {
let val_cont_x = (i + nb_wait) as f32 / len * (self.end.x - self.beg.x) + self.beg.x;
let val_cont_y = (i + nb_wait) as f32 / len * (self.end.y - self.beg.y) + self.beg.y;
let val_x = mem.line_pos[i / self.factor] as f32 + self.beg.x;
let val_y = mem.line_pos[i / self.factor] as f32 + self.beg.y;
//let is_visible = (i + nb_wait) % 2 == 0;// && i < nb_visible;
let is_visible = match (self.cnt, i) {
(1, _) => true,
(2, i) => i & 1 == 0,
(cnt, i) => i & (1 << (cnt - 3)) != 0,
};
let val_x = mem.line_pos[i / 2] as f32 + self.beg.x;
let val_y = mem.line_pos[i / 2] as f32 + self.beg.y;
let is_visible = (i + nb_wait) % 2 == 0 && i < nb_visible;
let c = if is_visible { color } else { black };
pl.push(Point {
x: if self.continuous_x { val_cont_x } else { val_x },
@ -118,74 +92,76 @@ impl Sequence for LineDotted {
color: c,
});
}
Some(pl)
}
fn compute_sequence(&mut self, mem: &mut Param) -> Result<(), Box<dyn std::error::Error>> {
if self.cnt <= ((self.factor * mem.line_pos.len()) as f64).log2() as usize + 2 {
println!("cnt: {}", self.cnt);
if self.cnt < 1 {
self.cnt += 1;
return Ok(());
}
println!("Falgadouf :{} cnt:{}", line!(), self.cnt);
//let len = ((self.factor * mem.line_pos.len()) as f64).log2() as usize + 1;
//if self.cnt > ((self.factor * mem.line_pos.len()) as f64).log2() as usize + 1 {
// if mem.capture_mode {
// self.finished = true;
// } else {
// self.cnt = 0;
// }
// return Ok(())
//}
//println!("Groboulli: {}", line!());
let ids = mem.seq_id;
let img_len = mem.imgs[ids].len();
let img_id = 2; //(img_len-1).min(self.cnt);
let background = mem.imgs[ids][0].to_owned();
let line_dot = mem.imgs[ids][img_id].to_owned();
let diff = image_diff(&line_dot, &background)?;
//highgui::imshow("lone dotted", &diff)?;
let line_dot = mem.imgs[ids][1].to_owned();
let diff = image_diff(&background, &line_dot)?;
let warped_image = image_warp(&diff, &mem.homography, mem.h_size)?;
let mut seg_treshed = image_treshold(&warped_image, &mem.tresh)?;
let mut warped_image = Mat::default();
imgproc::warp_perspective(
&diff,
&mut warped_image,
&mem.homography,
mem.h_size,
imgproc::INTER_CUBIC, // I dont see difference with INTER_CUBIC
BORDER_CONSTANT,
Scalar::default(),
)?;
//highgui::imshow("Warped Image", &warped_image)?;
let histo = histogram_3d(&diff, mem.nb_liss)?;
let histo = histogram_3d(&warped_image, mem.nb_liss)?;
draw_histograme_bgr_tresh("histo bgr", &histo, &mem.tresh)?;
//let segs = get_segment(&seg_treshed, true, true)?;
//println!("Falgadouf: {} BEFORE", line!());
let segs = get_lines(&seg_treshed, true, true, mem.nb_liss)?;
////println!("Falgadouf: {} nb_seg:{}", line!(), segs.len());
for seg in segs {
//println!("Falgadouf: {}", line!());
for i in 0..(seg.len() - 1) {
//println!("Falgadouf: {}", line!());
let ((x0, y0), (x1, y1)) = ((seg[i].x, seg[i].y), (seg[i + 1].x, seg[i + 1].y));
let blue = (i as f64 / seg.len() as f64) * 255.;
let color: VecN<f64, 4> = VecN::new(blue, 128., 0., 255.);
let pa = VecN::from_array([x0 as i32, y0 as i32]);
let pb = VecN::from_array([x1 as i32, y1 as i32]);
let a = OcvPoint::from_vec2(pa);
let b = OcvPoint::from_vec2(pb);
line(&mut seg_treshed, a, b, color, 1, LINE_8, 0)?;
}
let (t1, s1, l1) = (
mem.tresh.min_0 as f64,
mem.tresh.min_1 as f64,
mem.tresh.min_2 as f64,
);
let (t2, s2, l2) = (
mem.tresh.max_0 as f64,
mem.tresh.max_1 as f64,
mem.tresh.max_2 as f64,
);
let min = Mat::from_slice(&[t1, s1, l1])?;
let max = Mat::from_slice(&[t2, s2, l2])?;
let mut color_selected = Mat::default();
let _ = in_range(&warped_image, &min, &max, &mut color_selected);
let mut bord_treshed = Mat::default();
bitwise_and(
&warped_image,
&warped_image,
&mut bord_treshed,
&color_selected,
)?;
//highgui::imshow(format!("warped_image & mask").as_str(), &bord_treshed)?;
let segments = if self.continuous_y {
get_vertical_segment(&bord_treshed)?
} else {
get_horizontal_segment(&bord_treshed)?
};
for (i, (((x0, y0), (x1, y1)), _size)) in segments.iter().enumerate() {
let blue = (i as f64 / segments.len() as f64) * 255.;
let color: VecN<f64, 4> = VecN::new(blue, 128., 0., 255.);
let pa = VecN::from_array([*x0 as i32, *y0 as i32]);
let pb = VecN::from_array([*x1 as i32, *y1 as i32]);
let a = OcvPoint::from_vec2(pa);
let b = OcvPoint::from_vec2(pb);
line(&mut bord_treshed, a, b, color, 1, LINE_8, 0)?;
}
//println!("Falgadouf: {}", line!());
highgui::imshow("Warped and treshed Image + segment", &seg_treshed)?;
//self.finished = true;
highgui::imshow("segemnt detector", &bord_treshed)?;
self.finished = true;
Ok(())
}
fn is_capture(&self) -> bool {
true
}
fn sequence_name(&self) -> String {
"line_Dotted".to_owned()
}
fn wait_milis(&self) -> u64 {
self.nb_millis
}
}

View File

@ -5,15 +5,11 @@ use opencv::Result;
#[derive(Debug, Clone, Copy)]
pub struct LoadImage {
finished: bool,
nb_millis: u64,
}
impl LoadImage {
pub fn new() -> LoadImage {
LoadImage {
finished: false,
nb_millis: 0,
}
LoadImage { finished: false }
}
}
@ -24,7 +20,6 @@ impl Sequence for LoadImage {
}
Some(vec![])
}
fn compute_sequence(&mut self, mem: &mut Param) -> Result<(), Box<dyn std::error::Error>> {
if !mem.capture_mode {
mem.load_image()?;
@ -32,16 +27,7 @@ impl Sequence for LoadImage {
self.finished = true;
Ok(())
}
fn is_capture(&self) -> bool {
false
}
fn sequence_name(&self) -> String {
"Load_Image".to_owned()
}
fn wait_milis(&self) -> u64 {
self.nb_millis
}
}

View File

@ -5,15 +5,11 @@ use opencv::Result;
#[derive(Debug, Clone, Copy)]
pub struct SaveImage {
finished: bool,
nb_millis: u64,
}
impl SaveImage {
pub fn new() -> SaveImage {
SaveImage {
finished: false,
nb_millis: 0,
}
SaveImage { finished: false }
}
}
@ -24,22 +20,12 @@ impl Sequence for SaveImage {
}
Some(vec![])
}
fn compute_sequence(&mut self, mem: &mut Param) -> Result<(), Box<dyn std::error::Error>> {
mem.save_image()?;
self.finished = true;
Ok(())
}
fn is_capture(&self) -> bool {
false
}
fn sequence_name(&self) -> String {
"Save_Image".to_owned()
}
fn wait_milis(&self) -> u64 {
self.nb_millis
}
}

View File

@ -9,13 +9,16 @@ use opencv::Result;
#[derive(Debug, Clone, Copy)]
pub struct WaitSpace {
borders: [Point; 4],
mid: [Point; 2],
nb_millis: u64,
red: [Point; 2],
green: [Point; 2],
blue: [Point; 2],
}
impl WaitSpace {
pub fn new(beg: Point, end: Point, nb_millis: u64) -> Self {
let mid = (end.y - beg.y) * 0.5 + beg.y;
pub fn new(beg: Point, end: Point) -> Self {
let red_y = (end.y - beg.y) * 1./5. + beg.y;
let green_y = (end.y - beg.y) * 2./5. + beg.y;
let blue_y = (end.y - beg.y) * 3./5. + beg.y;
Self {
borders: [
Point {
@ -39,19 +42,42 @@ impl WaitSpace {
color: end.color,
},
],
mid: [
red: [
Point {
x: beg.x,
y: mid,
y: red_y,
color: end.color,
},
Point {
x: end.x,
y: mid,
y: red_y,
color: end.color,
},
],
blue: [
Point {
x: beg.x,
y: blue_y,
color: end.color,
},
Point {
x: end.x,
y: blue_y,
color: end.color,
},
],
green: [
Point {
x: beg.x,
y: green_y,
color: end.color,
},
Point {
x: end.x,
y: green_y,
color: end.color,
},
],
nb_millis,
}
}
}
@ -68,6 +94,21 @@ impl Sequence for WaitSpace {
g: mem.g as u8,
b: mem.b as u8,
};
let red = Color {
r: mem.r as u8,
g: 0,
b: 0,
};
let green = Color {
r: 0,
g: mem.g as u8,
b: 0,
};
let blue = Color {
r: 0,
g: 0,
b: mem.b as u8,
};
for i in 0..self.borders.len() {
let id1 = (i + 1) % self.borders.len();
let p0 = Point {
@ -85,18 +126,44 @@ impl Sequence for WaitSpace {
mem.nb_visible as usize,
));
pl.extend(draw_line_dotted(
&Point {
color,
..self.mid[0]
&Point{
color: blue,
..self.blue[0]
},
&Point {
color,
..self.mid[1]
&Point{
color: blue,
..self.blue[1]
},
mem.nb_all as usize,
mem.nb_visible as usize,
true,
));
));
pl.extend(draw_line_dotted(
&Point{
color: green,
..self.green[0]
},
&Point{
color: green,
..self.green[1]
},
mem.nb_all as usize,
mem.nb_visible as usize,
true,
));
pl.extend(draw_line_dotted(
&Point{
color: red,
..self.red[0]
},
&Point{
color: red,
..self.red[1]
},
mem.nb_all as usize,
mem.nb_visible as usize,
true,
));
}
Some(pl)
}
@ -106,12 +173,4 @@ impl Sequence for WaitSpace {
fn is_capture(&self) -> bool {
false
}
fn sequence_name(&self) -> String {
"Wait_Space".to_owned()
}
fn wait_milis(&self) -> u64 {
self.nb_millis
}
}

View File

@ -87,12 +87,6 @@ impl From<(f64, f64)> for Pt {
}
}
//impl From<Pt> for (f64, f64) {
// fn from(pt: Pt) -> Self {
// (pt.x, pt.y)
// }
//}
impl From<&(f64, f64)> for Pt {
fn from((x, y): &(f64, f64)) -> Self {
Pt { x: *x, y: *y }