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Cleaned up some labels and steps

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Nathan 2019-02-09 20:19:42 -06:00
parent fd0c497c90
commit 3d83860fad
1 changed files with 95 additions and 88 deletions
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149
examples/convolution.rs
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@ -1,125 +1,132 @@
extern crate nalgebra as na;
use na::storage::Storage;
#[allow(unused_imports)]
use na::{Vector,Dim,Real,Vector4,Vector3,Vector2,U1,Matrix,DVector,Dynamic,VecStorage};
use na::storage::{Storage};
use na::{
DMatrix, DVector, Dim, Dynamic, Matrix, Matrix2x3, Real, VecStorage, Vector, Vector2, Vector3,
Vector4, U1,
};
use std::cmp;
enum ConvolveMode{
enum ConvolveMode {
Full,
Valid,
Same
Same,
}
fn convolve_full<R: Real, D: Dim, E: Dim, S: Storage<R, D>, Q: Storage<R, E>>(
vector : Vector<R,D,S>,
kernel : Vector<R,E,Q>
) -> Matrix<R, Dynamic, U1, VecStorage<R, Dynamic, U1>>
{
vector: Vector<R, D, S>,
kernel: Vector<R, E, Q>,
) -> Matrix<R, Dynamic, U1, VecStorage<R, Dynamic, U1>> {
let vec = vector.len();
let ker = kernel.len();
let len = vec + ker - 1;
let v = vec as i8;
let k = ker as i8;
let l = len as i8;
let mut conv = DVector::<R>::zeros(len);
let newlen = vec + ker - 1;
for i in 0..l{
let u_i = cmp::max(0, i - k);
let u_f = cmp::min(i, v - 1);
let mut conv = DVector::<R>::zeros(newlen);
if u_i == u_f{
conv[i as usize] += vector[u_i as usize] * kernel[(i - u_i) as usize];
}
else{
for u in u_i..(u_f+1){
if i - u < k{
conv[i as usize] += vector[u as usize] * kernel[(i - u ) as usize];
for i in 0..newlen {
let u_i = if i > ker {i - ker} else {0};
let u_f = cmp::min(i, vec - 1);
if u_i == u_f {
conv[i] += vector[u_i] * kernel[(i - u_i)];
} else {
for u in u_i..(u_f + 1) {
if i - u < ker {
conv[i] += vector[u] * kernel[(i - u)];
}
}
}
}
conv
}
}
fn convolve_valid<R: Real, D: Dim, E: Dim, S: Storage<R, D>, Q: Storage<R, E>>(
vector : Vector<R,D,S>,
kernel : Vector<R,E,Q>
) -> Matrix<R, Dynamic, U1, VecStorage<R, Dynamic, U1>>
{
vector: Vector<R, D, S>,
kernel: Vector<R, E, Q>,
) -> Matrix<R, Dynamic, U1, VecStorage<R, Dynamic, U1>> {
let vec = vector.len();
let ker = kernel.len();
let len = vec - ker + 1;
let mut conv = DVector::<R>::zeros(len);
let newlen = vec - ker + 1;
let mut conv = DVector::<R>::zeros(newlen);
for i in 0..len {
for i in 0..newlen {
for j in 0..ker {
conv[i] += vector[i + j] * kernel[ker - j - 1];
}
}
conv
}
}
fn convolve_same<R: Real, D: Dim, E: Dim, S: Storage<R, D>, Q: Storage<R, E>>(
vector : Vector<R,D,S>,
kernel : Vector<R,E,Q>
) -> Matrix<R, Dynamic, U1, VecStorage<R, Dynamic, U1>>
{
vector: Vector<R, D, S>,
kernel: Vector<R, E, Q>,
) -> Matrix<R, Dynamic, U1, VecStorage<R, Dynamic, U1>> {
let vec = vector.len();
let ker = kernel.len();
let len = vec + ker - 1;
let v = vec as i8;
let k = ker as i8;
let l = len as i8;
let mut conv = DVector::<R>::zeros(len);
let newlen = vec + ker - 1;
for i in 0..l {
let u_i = cmp::max(0, i - k);
let u_f = cmp::min(i, v - 1);
let mut conv = DVector::<R>::zeros(newlen);
if u_i == u_f {
conv[i as usize] += vector[u_i as usize] * kernel[(i - u_i) as usize];
}
else{
for u in u_i..(u_f+1){
if i - u < k{
conv[i as usize] += vector[u as usize] * kernel[(i - u ) as usize];
}
}
}
for i in 0..newlen {
// let u_i = cmp::max(0, i - k);
// let u_f = cmp::min(i, v - 1);
// if u_i == u_f {
// conv[i as usize] += vector[u_i as usize] * kernel[(i - u_i) as usize];
// } else {
// for u in u_i..(u_f + 1) {
// if i - u < k {
// conv[i as usize] += vector[u as usize] * kernel[(i - u) as usize];
// }
// }
// }
}
conv
}
}
fn convolve<R: Real, D: Dim, E: Dim, S: Storage<R, D>, Q: Storage<R, E>>(
vector : Vector<R,D,S>,
kernel : Vector<R,E,Q>,
mode : Option<ConvolveMode>
) -> Matrix<R, Dynamic, U1, VecStorage<R, Dynamic, U1>>
{
vector: Vector<R, D, S>,
kernel: Vector<R, E, Q>,
mode: Option<ConvolveMode>,
) -> Matrix<R, Dynamic, U1, VecStorage<R, Dynamic, U1>> {
//
// vector is the vector, Kervel is the kervel
// C is the returv vector
//
if kernel.len() > vector.len(){
if kernel.len() > vector.len() {
return convolve(kernel, vector, mode);
}
match mode.unwrap_or(ConvolveMode::Full) {
ConvolveMode::Full => return convolve_full(vector,kernel),
ConvolveMode::Valid => return convolve_valid(vector,kernel),
ConvolveMode::Same => return convolve_same(vector,kernel)
ConvolveMode::Full => return convolve_full(vector, kernel),
ConvolveMode::Valid => return convolve_valid(vector, kernel),
ConvolveMode::Same => return convolve_same(vector, kernel),
}
}
}
fn main() {
let v1 = Vector2::new(3.0,1.0);
let v2 = Vector4::new(1.0,2.0,5.0,9.0);
let x = convolve(v1,v2,Some(ConvolveMode::Valid));
println!("{:?}",x)
// let m = Matrix2x3::from_anti_diagonal_element(5.0);
// The two additional arguments represent the matrix dimensions.
// let dm = DMatrix::from_anti_diagonal_element(2, 3, 5.0);
let mut m = Matrix2x3::new(1.1, 1.2, 1.3,
2.1, 2.2, 2.3);
// assert!(m.m11 == 0.0 && m.m12 == 0.0 && m.m13 == 5.0 &&
// m.m21 == 0.0 && m.m22 == 5.0 && m.m23 == 0.0);
// assert!(dm[(0, 0)] == 0.0 && dm[(0, 1)] == 0.0 && dm[(0, 2)] == 5.0 &&
// dm[(1, 0)] == 0.0 && dm[(1, 1)] == 5.0 && dm[(1, 2)] == 0.0);
println!("m={:?}",m);
for i in 0..std::cmp::min(m.nrows(),m.ncols()) {
// for j in 0..3 {
println!("m({:?},{:?})={:?}",i,3-i-1,m[(i,3-i-1)]);
unsafe { println!("m({:?},{:?})={:?}",i,3-i-1,*m.get_unchecked_mut((i, 3-i-1))) }
// }
}
}