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Restructured image code, refactored spectrum code, removed some less idiomatic code to make compiler happy, added mipmap methods

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This commit is contained in:
pingu 2025-12-03 19:43:46 +00:00
parent e502af9411
commit 96e437921f
55 changed files with 10958 additions and 12903 deletions
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8
Cargo.toml
View file

@ -10,7 +10,7 @@ bumpalo = "3.19.0"
enum_dispatch = "0.3.13"
exr = "1.73.0"
half = "2.7.1"
image = "0.25.8"
image_rs = { package = "image", version = "0.25.8" }
num = "0.4.3"
num-integer = "0.1.46"
num-traits = "0.2.19"
@ -24,3 +24,9 @@ thiserror = "2.0.17"
[features]
default = []
use_f64 = []
[lints.clippy]
excessive_precision = "allow"
approx_constant = "allow"
upper_case_acronyms = "allow"
wrong_self_convention = "allow"

8
src/camera/mod.rs
View file

@ -13,7 +13,7 @@ use crate::core::medium::Medium;
use crate::core::pbrt::{Float, RenderingCoordinateSystem, lerp};
use crate::core::sampler::CameraSample;
use crate::geometry::{Normal3f, Point3f, Ray, RayDifferential, Vector3f, VectorLike};
use crate::utils::spectrum::{SampledSpectrum, SampledWavelengths};
use crate::spectra::{SampledSpectrum, SampledWavelengths};
use crate::utils::transform::{AnimatedTransform, Transform};
use std::sync::Arc;
@ -108,11 +108,7 @@ pub trait CameraTrait {
sample: CameraSample,
lambda: &SampledWavelengths,
) -> Option<CameraRay> {
let mut central_cam_ray = match self.generate_ray(sample, lambda) {
Some(cr) => cr,
None => return None,
};
let mut central_cam_ray = self.generate_ray(sample, lambda)?;
let mut rd = RayDifferential::default();
let mut rx_found = false;
let mut ry_found = false;

8
src/camera/orthographic.rs
View file

@ -5,8 +5,8 @@ use crate::core::sampler::CameraSample;
use crate::geometry::{
Bounds2f, Point2f, Point3f, Ray, RayDifferential, Vector2f, Vector3f, VectorLike,
};
use crate::spectra::{SampledSpectrum, SampledWavelengths};
use crate::utils::sampling::sample_uniform_disk_concentric;
use crate::utils::spectrum::{SampledSpectrum, SampledWavelengths};
use crate::utils::transform::Transform;
pub struct OrthographicCamera {
@ -115,11 +115,7 @@ impl CameraTrait for OrthographicCamera {
sample: CameraSample,
lambda: &SampledWavelengths,
) -> Option<CameraRay> {
let mut central_cam_ray = match self.generate_ray(sample, lambda) {
Some(cr) => cr,
None => return None,
};
let mut central_cam_ray = self.generate_ray(sample, lambda)?;
let mut rd = RayDifferential::default();
if self.lens_radius > 0.0 {
return self.generate_ray_differential(sample, lambda);

6
src/camera/perspective.rs
View file

@ -7,8 +7,8 @@ use crate::core::sampler::CameraSample;
use crate::geometry::{
Bounds2f, Point2f, Point3f, Ray, RayDifferential, Vector2f, Vector3f, VectorLike,
};
use crate::spectra::{SampledSpectrum, SampledWavelengths};
use crate::utils::sampling::sample_uniform_disk_concentric;
use crate::utils::spectrum::{SampledSpectrum, SampledWavelengths};
use crate::utils::transform::Transform;
pub struct PerspectiveCamera {
@ -48,7 +48,7 @@ impl PerspectiveCamera {
);
let raster_from_screen = raster_from_ndc * ndc_from_screen;
let screen_from_raster = raster_from_screen.inverse();
let camera_from_raster = screen_from_camera.inverse() * screen_from_raster.clone();
let camera_from_raster = screen_from_camera.inverse() * screen_from_raster;
let dx_camera = camera_from_raster.apply_to_point(Point3f::new(1., 0., 0.))
- camera_from_raster.apply_to_point(Point3f::new(0., 0., 0.));
let dy_camera = camera_from_raster.apply_to_point(Point3f::new(0., 1., 0.))
@ -60,7 +60,7 @@ impl PerspectiveCamera {
let cos_total_width = w_corner_camera.z();
Self {
base,
screen_from_camera: screen_from_camera.clone(),
screen_from_camera: *screen_from_camera,
camera_from_raster,
raster_from_screen,
screen_from_raster,

19
src/camera/realistic.rs
View file

@ -5,10 +5,10 @@ use crate::core::sampler::CameraSample;
use crate::geometry::{
Bounds2f, Normal3f, Point2f, Point2i, Point3f, Ray, Vector2i, Vector3f, VectorLike,
};
use crate::utils::image::Image;
use crate::image::Image;
use crate::spectra::{SampledSpectrum, SampledWavelengths};
use crate::utils::math::{quadratic, square};
use crate::utils::scattering::refract;
use crate::utils::spectrum::{SampledSpectrum, SampledWavelengths};
pub struct RealisticCamera {
base: CameraBase,
@ -61,14 +61,15 @@ impl RealisticCamera {
element_interface.push(el_int);
}
let mut exit_pupil_bounds: Vec<Bounds2f> = Vec::new();
let n_samples = 64;
for i in 0..64 {
let r0 = i as Float / 64. * base.film.diagonal() / 2.;
let r1 = (i + 1) as Float / n_samples as Float * base.film.diagonal() / 2.;
exit_pupil_bounds[i] = self.bound_exit_pupil(r0, r1);
}
let half_diag = base.film.diagonal() / 2.0;
let exit_pupil_bounds: Vec<_> = (0..n_samples)
.map(|i| {
let r0 = (i as Float / n_samples as Float) * half_diag;
let r1 = ((i + 1) as Float / n_samples as Float) * half_diag;
self.bound_exit_pupil(r0, r1)
})
.collect();
Self {
base,

2
src/camera/spherical.rs
View file

@ -3,8 +3,8 @@ use crate::core::film::FilmTrait;
use crate::core::pbrt::{Float, PI};
use crate::core::sampler::CameraSample;
use crate::geometry::{Bounds2f, Point2f, Point3f, Ray, Vector3f, spherical_direction};
use crate::spectra::{SampledSpectrum, SampledWavelengths};
use crate::utils::math::{equal_area_square_to_sphere, wrap_equal_area_square};
use crate::utils::spectrum::{SampledSpectrum, SampledWavelengths};
#[derive(PartialEq)]
pub struct EquiRectangularMapping;

167
src/core/aggregates.rs
View file

@ -61,6 +61,7 @@ impl BVHPrimitiveInfo {
}
}
#[derive(Clone, Debug)]
pub enum BVHBuildNode {
Leaf {
first_prim_offset: usize,
@ -349,7 +350,12 @@ impl BVHAggregate {
})
.collect();
Self::build_upper_sah(treelet_roots, total_nodes)
let mut contiguous_nodes: Vec<BVHBuildNode> = treelet_roots
.into_iter()
.map(|node_box| *node_box)
.collect();
Self::build_upper_sah(&mut contiguous_nodes, total_nodes)
}
fn emit_lbvh(
@ -384,7 +390,7 @@ impl BVHAggregate {
}
let mask = 1 << bit_index;
let first_code = morton_prims[0].morton_code;
let last_match_index = find_interval(n_primitives as usize, |index| {
let last_match_index = find_interval(n_primitives, |index| {
let current_code = morton_prims[index].morton_code;
(current_code & mask) == (first_code & mask)
});
@ -430,13 +436,10 @@ impl BVHAggregate {
Box::new(BVHBuildNode::new_interior(axis, child0, child1))
}
fn build_upper_sah(
nodes: Vec<Box<BVHBuildNode>>,
total_nodes: &AtomicUsize,
) -> Box<BVHBuildNode> {
fn build_upper_sah(nodes: &mut [BVHBuildNode], total_nodes: &AtomicUsize) -> Box<BVHBuildNode> {
let n_nodes = nodes.len();
if n_nodes == 1 {
return nodes.into_iter().next().unwrap();
return Box::new(nodes[0].clone());
}
total_nodes.fetch_add(1, AtomicOrdering::Relaxed);
@ -450,21 +453,16 @@ impl BVHAggregate {
let dim = centroid_bounds.max_dimension();
if centroid_bounds.p_max[dim] == centroid_bounds.p_min[dim] {
// Fallback: Split equally
let mid = n_nodes / 2;
// We have to sort to ensure deterministic split if we are just splitting by index,
// though without a spatial dimension difference, ordering doesn't matter much.
// Let's just split the vector.
let mut nodes = nodes;
let right_nodes = nodes.split_off(mid);
let left_nodes = nodes;
let (left_part, right_part) = nodes.split_at_mut(mid);
return Box::new(BVHBuildNode::new_interior(
dim as u8,
Self::build_upper_sah(left_nodes, total_nodes),
Self::build_upper_sah(right_nodes, total_nodes),
Self::build_upper_sah(left_part, total_nodes),
Self::build_upper_sah(right_part, total_nodes),
));
}
const N_BUCKETS: usize = 12;
#[derive(Copy, Clone, Default)]
struct Bucket {
@ -472,89 +470,105 @@ impl BVHAggregate {
bounds: Bounds3f,
}
let mut buckets = [Bucket::default(); N_BUCKETS];
// Initialize _Bucket_ for HLBVH SAH partition buckets
for node in &nodes {
let get_bucket_idx = |node: &BVHBuildNode| -> usize {
let offset = centroid_bounds.offset(&node.bounds().centroid())[dim];
let mut b = (N_BUCKETS as Float * offset) as usize;
if b == N_BUCKETS {
b = N_BUCKETS - 1;
}
b
};
// Initialize _Bucket_ for HLBVH SAH partition buckets
for node in nodes.iter() {
let b = get_bucket_idx(node);
buckets[b].count += 1;
buckets[b].bounds = buckets[b].bounds.union(node.bounds());
}
// Compute costs for splitting after each bucket
let mut cost = [0.0; N_BUCKETS - 1];
for i in 0..(N_BUCKETS - 1) {
let mut b0 = Bounds3f::default();
let mut b1 = Bounds3f::default();
let mut count0 = 0;
let mut count1 = 0;
for j in 0..=i {
b0 = b0.union(buckets[j].bounds);
count0 += buckets[j].count;
}
for j in (i + 1)..N_BUCKETS {
b1 = b1.union(buckets[j].bounds);
count1 += buckets[j].count;
// Forward Pass: Accumulate Left side (0 -> N-1)
let mut left_area = [0.0; N_BUCKETS];
let mut left_count = [0; N_BUCKETS];
let mut b_left = Bounds3f::default();
let mut c_left = 0;
for i in 0..N_BUCKETS {
b_left = b_left.union(buckets[i].bounds);
c_left += buckets[i].count;
left_area[i] = b_left.surface_area();
left_count[i] = c_left;
}
// Backward Pass: Accumulate Right side (N-1 -> 0) and compute cost
let mut b_right = Bounds3f::default();
let mut c_right = 0;
let inv_total_sa = 1.0 / bounds.surface_area();
for i in (0..N_BUCKETS - 1).rev() {
b_right = b_right.union(buckets[i + 1].bounds);
c_right += buckets[i + 1].count;
let count_left = left_count[i];
let sa_left = left_area[i];
let sa_right = b_right.surface_area();
cost[i] = 0.125
+ (count0 as Float * b0.surface_area() + count1 as Float * b1.surface_area())
/ bounds.surface_area();
+ (count_left as Float * sa_left + c_right as Float * sa_right) * inv_total_sa;
}
// Find bucket to split at that minimizes SAH metric
let mut min_cost = cost[0];
let mut min_cost_split_bucket = 0;
for (i, cost) in cost[1..].iter().enumerate() {
if *cost < min_cost {
min_cost = *cost;
for (i, &c) in cost.iter().enumerate().skip(1) {
if c < min_cost {
min_cost = c;
min_cost_split_bucket = i;
}
}
// Split nodes and create interior HLBVH SAH node
let (left_nodes, right_nodes): (Vec<_>, Vec<_>) = nodes.into_iter().partition(|node| {
let offset = centroid_bounds.offset(&node.bounds().centroid())[dim];
let mut b = (N_BUCKETS as Float * offset) as usize;
if b == N_BUCKETS {
b = N_BUCKETS - 1;
let mid = {
let mut left = 0;
for i in 0..n_nodes {
let b = get_bucket_idx(&nodes[i]);
if b <= min_cost_split_bucket {
nodes.swap(left, i);
left += 1;
}
b <= min_cost_split_bucket
});
}
left
};
if left_nodes.is_empty() || right_nodes.is_empty() {
// Recombine to split by count
let mut all_nodes = left_nodes;
all_nodes.extend(right_nodes);
if mid == 0 || mid == n_nodes {
let mid = n_nodes / 2;
let mid = all_nodes.len() / 2;
// We must perform a partial sort or select to make the split meaningful spatially
all_nodes.select_nth_unstable_by(mid, |a, b| {
// Partially sort so the median is in the middle and elements are partitioned around it
nodes.select_nth_unstable_by(mid, |a, b| {
a.bounds().centroid()[dim]
.partial_cmp(&b.bounds().centroid()[dim])
.unwrap_or(std::cmp::Ordering::Equal)
});
let right = all_nodes.split_off(mid);
let left = all_nodes;
return Box::new(BVHBuildNode::new_interior(
dim as u8,
Self::build_upper_sah(left, total_nodes),
Self::build_upper_sah(right, total_nodes),
));
}
let (left_part, right_part) = nodes.split_at_mut(mid);
Box::new(BVHBuildNode::new_interior(
dim as u8,
Self::build_upper_sah(left_nodes, total_nodes),
Self::build_upper_sah(right_nodes, total_nodes),
Self::build_upper_sah(left_part, total_nodes),
Self::build_upper_sah(right_part, total_nodes),
))
} else {
// Standard SAH Split
let (left_part, right_part) = nodes.split_at_mut(mid);
Box::new(BVHBuildNode::new_interior(
dim as u8,
Self::build_upper_sah(left_part, total_nodes),
Self::build_upper_sah(right_part, total_nodes),
))
}
}
fn build_recursive(
@ -596,7 +610,6 @@ impl BVHAggregate {
));
}
// let mut mid = n_primitives / 2;
let mut mid: usize;
match split_method {
SplitMethod::Middle => {
@ -660,9 +673,9 @@ impl BVHAggregate {
// Find bucket to split at that minimizes SAH metric>
let mut min_cost = Float::INFINITY;
let mut min_cost_split_bucket = 0;
for i in 0..N_SPLITS {
if costs[i] < min_cost {
min_cost = costs[i];
for (i, &cost) in costs.iter().enumerate().take(N_SPLITS) {
if cost < min_cost {
min_cost = cost;
min_cost_split_bucket = i;
}
}
@ -774,7 +787,7 @@ impl BVHAggregate {
if node.n_primitives > 0 {
// Intersect ray with all primitives in this leaf
for i in 0..node.n_primitives {
let prim_idx = node.primitives_offset as usize + i as usize;
let prim_idx = node.primitives_offset + i as usize;
let prim = &self.primitives[prim_idx];
if let Some(si) = prim.intersect(r, Some(hit_t)) {
@ -800,14 +813,14 @@ impl BVHAggregate {
to_visit_offset += 1;
// Visit Near immediately
current_node_index = node.primitives_offset as usize;
current_node_index = node.primitives_offset;
} else {
// Ray is positive (Left -> Right).
// Push Far
nodes_to_visit[to_visit_offset] = node.primitives_offset as usize;
nodes_to_visit[to_visit_offset] = node.primitives_offset;
to_visit_offset += 1;
current_node_index = current_node_index + 1;
current_node_index += 1;
}
}
} else {
@ -848,7 +861,7 @@ impl BVHAggregate {
if node.bounds.intersect_p(r.o, t_max, inv_dir, &dir_is_neg) {
if node.n_primitives > 0 {
for i in 0..node.n_primitives {
let prim_idx = node.primitives_offset as usize + i as usize;
let prim_idx = node.primitives_offset + i as usize;
let prim = &self.primitives[prim_idx];
if prim.intersect_p(r, Some(t_max)) {
@ -867,17 +880,13 @@ impl BVHAggregate {
// closer to the origin faster, potentially saving work.
if dir_is_neg[node.axis as usize] == 1 {
// Ray is negative (Right -> Left)
// Visit Right (Second) first
nodes_to_visit[to_visit_offset] = current_node_index + 1; // Push Left (Far)
nodes_to_visit[to_visit_offset] = current_node_index + 1;
to_visit_offset += 1;
current_node_index = node.primitives_offset as usize; // Go Right (Near)
current_node_index = node.primitives_offset;
} else {
// Ray is positive (Left -> Right)
// Visit Left (First) first
nodes_to_visit[to_visit_offset] = node.primitives_offset as usize; // Push Right (Far)
nodes_to_visit[to_visit_offset] = node.primitives_offset;
to_visit_offset += 1;
current_node_index = current_node_index + 1; // Go Left (Near)
current_node_index += 1;
}
}
} else {

440
src/core/bxdf.rs
View file

@ -7,13 +7,16 @@ use std::sync::{Arc, RwLock};
use enum_dispatch::enum_dispatch;
use crate::core::pbrt::{Float, INV_PI, PI, PI_OVER_2};
use crate::core::pbrt::{Float, INV_2_PI, INV_PI, PI, PI_OVER_2};
use crate::geometry::{
Frame, Normal3f, Point2f, Vector3f, VectorLike, abs_cos_theta, cos_theta, same_hemisphere,
spherical_direction, spherical_theta,
};
use crate::spectra::{
N_SPECTRUM_SAMPLES, RGBUnboundedSpectrum, SampledSpectrum, SampledWavelengths,
};
use crate::utils::color::RGB;
use crate::utils::colorspace::RGBColorspace;
use crate::utils::colorspace::RGBColorSpace;
use crate::utils::math::{
fast_exp, i0, log_i0, radians, safe_acos, safe_asin, safe_sqrt, sample_discrete, square,
trimmed_logistic,
@ -26,9 +29,6 @@ use crate::utils::scattering::{
TrowbridgeReitzDistribution, fr_complex, fr_complex_from_spectrum, fr_dielectric, reflect,
refract,
};
use crate::utils::spectrum::{
N_SPECTRUM_SAMPLES, RGBUnboundedSpectrum, SampledSpectrum, SampledWavelengths,
};
bitflags! {
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
@ -114,6 +114,19 @@ pub struct BSDFSample {
pub pdf_is_proportional: bool,
}
impl Default for BSDFSample {
fn default() -> Self {
Self {
f: SampledSpectrum::default(),
wi: Vector3f::default(),
pdf: 0.0,
flags: BxDFFlags::empty(),
eta: 1.0,
pdf_is_proportional: false,
}
}
}
impl BSDFSample {
pub fn new(
f: SampledSpectrum,
@ -133,17 +146,6 @@ impl BSDFSample {
}
}
pub fn default() -> Self {
Self {
f: SampledSpectrum::default(),
wi: Vector3f::default(),
pdf: 0.0,
flags: BxDFFlags::empty(),
eta: 1.0,
pdf_is_proportional: false,
}
}
#[inline]
pub fn is_reflective(&self) -> bool {
self.flags.is_reflective()
@ -320,7 +322,7 @@ impl HairBxDF {
let eumelanin_sigma_a = RGB::new(0.419, 0.697, 1.37);
let pheomelanin_sigma_a = RGB::new(0.187, 0.4, 1.05);
let sigma_a = ce * eumelanin_sigma_a + cp * pheomelanin_sigma_a;
RGBUnboundedSpectrum::new(RGBColorspace::srgb(), sigma_a)
RGBUnboundedSpectrum::new(RGBColorSpace::srgb(), sigma_a)
}
}
@ -554,12 +556,13 @@ impl BSDF {
if wo.z() == 0. || !(guard.flags().contains(sampling_flags)) {
return None;
}
if let Some(mut bs) = guard.sample_f(&wo, u, u2, f_args) {
if bs.pdf > 0.0 && bs.wi.z() != 0.0 {
if let Some(mut bs) = guard.sample_f(&wo, u, u2, f_args)
&& bs.pdf > 0.0
&& bs.wi.z() != 0.0
{
bs.wi = self.local_to_render(bs.wi);
return Some(bs);
}
}
None
}
@ -607,15 +610,16 @@ impl BSDF {
if wo.z() == 0. || !guard.flags().contains(sampling_flags) {
return None;
}
if let Some(specific_bxdf) = guard.as_any().downcast_ref::<B>() {
if let Some(mut bs) = specific_bxdf.sample_f(&wo, u, u2, f_args) {
if bs.pdf > 0.0 && bs.wi.z() != 0.0 {
guard
.as_any()
.downcast_ref::<B>()
.and_then(|specific_bxdf| specific_bxdf.sample_f(&wo, u, u2, f_args))
.filter(|bs| bs.pdf > 0.0 && bs.wi.z() != 0.0)
.map(|mut bs| {
bs.wi = self.local_to_render(bs.wi);
return Some(bs);
}
}
}
None
bs
})
}
pub fn pdf_specific<B: BxDFTrait>(
@ -682,11 +686,13 @@ impl BxDFTrait for DiffuseBxDF {
wi[2] *= -1.;
}
let pdf = cosine_hemisphere_pdf(abs_cos_theta(wi));
let mut bsdf = BSDFSample::default();
bsdf.f = self.r * INV_PI;
bsdf.wi = wi;
bsdf.pdf = pdf;
bsdf.flags = BxDFFlags::DIFFUSE_REFLECTION;
let bsdf = BSDFSample {
f: self.r * INV_PI,
wi,
pdf,
flags: BxDFFlags::DIFFUSE_REFLECTION,
..Default::default()
};
Some(bsdf)
}
@ -707,9 +713,9 @@ impl BxDFTrait for DiffuseBxDF {
impl BxDFTrait for ConductorBxDF {
fn flags(&self) -> BxDFFlags {
if self.mf_distrib.effectively_smooth() {
return BxDFFlags::SPECULAR_REFLECTION;
BxDFFlags::SPECULAR_REFLECTION
} else {
return BxDFFlags::GLOSSY_REFLECTION;
BxDFFlags::GLOSSY_REFLECTION
}
}
fn sample_f(&self, wo: &Vector3f, _uc: Float, u: Point2f, f_args: FArgs) -> Option<BSDFSample> {
@ -723,12 +729,16 @@ impl BxDFTrait for ConductorBxDF {
let wi = Vector3f::new(-wo.x(), -wo.y(), wo.z());
let f =
fr_complex_from_spectrum(abs_cos_theta(wi), self.eta, self.k) / abs_cos_theta(wi);
let mut bsd = BSDFSample::default();
bsd.f = f;
bsd.wi = wi;
bsd.pdf = 1.;
bsd.flags = BxDFFlags::SPECULAR_REFLECTION;
return Some(bsd);
let bsdf = BSDFSample {
f,
wi,
pdf: 1.,
flags: BxDFFlags::SPECULAR_REFLECTION,
..Default::default()
};
return Some(bsdf);
}
if wo.z() == 0. {
@ -752,11 +762,13 @@ impl BxDFTrait for ConductorBxDF {
let f = self.mf_distrib.d(wm) * f_spectrum * self.mf_distrib.g(*wo, wi)
/ (4. * cos_theta_i * cos_theta_o);
let mut bsdf = BSDFSample::default();
bsdf.f = f;
bsdf.wi = wi;
bsdf.pdf = pdf;
bsdf.flags = BxDFFlags::GLOSSY_REFLECTION;
let bsdf = BSDFSample {
f,
wi,
pdf,
flags: BxDFFlags::GLOSSY_REFLECTION,
..Default::default()
};
Some(bsdf)
}
@ -862,10 +874,10 @@ impl BxDFTrait for DielectricBxDF {
let fr = fr_dielectric((*wo).dot(wm.into()), self.eta);
if reflect {
return SampledSpectrum::new(
SampledSpectrum::new(
self.mf_distrib.d(wm.into()) * self.mf_distrib.g(*wo, *wi) * fr
/ (4. * cos_theta_i * cos_theta_o).abs(),
);
)
} else {
let denom = square((*wi).dot(wm.into()) + (*wo).dot(wm.into()) / etap)
* cos_theta_i
@ -878,7 +890,7 @@ impl BxDFTrait for DielectricBxDF {
ft /= square(etap)
}
return SampledSpectrum::new(ft);
SampledSpectrum::new(ft)
}
}
@ -930,18 +942,16 @@ impl BxDFTrait for DielectricBxDF {
return 0.;
}
let pdf: Float;
if reflect {
pdf = self.mf_distrib.pdf(
self.mf_distrib.pdf(
*wo,
Vector3f::from(wm) / (4. * (*wo).dot(wm.into()).abs()) * pr / (pt + pr),
);
)
} else {
let denom = square((*wi).dot(wm.into()) + (*wo).dot(wm.into()) / etap);
let dwm_dwi = (*wi).dot(wm.into()).abs() / denom;
pdf = self.mf_distrib.pdf(*wo, wm.into()) * dwm_dwi * pr / (pr + pt);
self.mf_distrib.pdf(*wo, wm.into()) * dwm_dwi * pr / (pr + pt)
}
pdf
}
fn sample_f(&self, wo: &Vector3f, uc: Float, u: Point2f, f_args: FArgs) -> Option<BSDFSample> {
@ -968,12 +978,14 @@ impl BxDFTrait for DielectricBxDF {
if uc < pr / (pr + pt) {
let wi = Vector3f::new(-wo.x(), -wo.y(), wo.z());
let fr = SampledSpectrum::new(r / abs_cos_theta(wi));
let mut bsd = BSDFSample::default();
bsd.f = fr;
bsd.wi = wi;
bsd.pdf = pr / (pr + pt);
bsd.flags = BxDFFlags::SPECULAR_REFLECTION;
return Some(bsd);
let bsdf = BSDFSample {
f: fr,
wi,
pdf: pr / (pr + pt),
flags: BxDFFlags::SPECULAR_REFLECTION,
..Default::default()
};
Some(bsdf)
} else {
// Compute ray direction for specular transmission
if let Some((wi, etap)) = refract(*wo, Normal3f::new(0., 0., 1.), self.eta) {
@ -981,15 +993,17 @@ impl BxDFTrait for DielectricBxDF {
if f_args.mode == TransportMode::Radiance {
ft /= square(etap);
}
let mut bsd = BSDFSample::default();
bsd.f = ft;
bsd.wi = wi;
bsd.pdf = pt / (pr + pt);
bsd.flags = BxDFFlags::SPECULAR_TRANSMISSION;
bsd.eta = etap;
return Some(bsd);
let bsdf = BSDFSample {
f: ft,
wi,
pdf: pt / (pr + pt),
flags: BxDFFlags::SPECULAR_TRANSMISSION,
eta: etap,
..Default::default()
};
Some(bsdf)
} else {
return None;
None
}
}
} else {
@ -1025,17 +1039,19 @@ impl BxDFTrait for DielectricBxDF {
self.mf_distrib.d(wm) * self.mf_distrib.g(*wo, wi) * r
/ (4. * cos_theta(wi) * cos_theta(*wo)),
);
let mut bsd = BSDFSample::default();
bsd.f = f;
bsd.wi = wi;
bsd.pdf = pdf;
bsd.flags = BxDFFlags::GLOSSY_REFLECTION;
return Some(bsd);
let bsdf = BSDFSample {
f,
wi,
pdf,
flags: BxDFFlags::GLOSSY_REFLECTION,
..Default::default()
};
Some(bsdf)
} else {
// Sample transmission at rough dielectric interface
if let Some((wi, etap)) = refract(*wo, wm.into(), self.eta) {
if same_hemisphere(*wo, wi) || wi.z() == 0. {
return None;
None
} else {
let denom = square(wi.dot(wm) + wo.dot(wm) / etap);
let dwm_mi = wi.dot(wm).abs() / denom;
@ -1049,16 +1065,18 @@ impl BxDFTrait for DielectricBxDF {
if f_args.mode == TransportMode::Radiance {
ft /= square(etap);
}
let mut bsd = BSDFSample::default();
bsd.f = ft;
bsd.wi = wi;
bsd.pdf = pdf;
bsd.flags = BxDFFlags::GLOSSY_TRANSMISSION;
bsd.eta = etap;
return Some(bsd);
let bsdf = BSDFSample {
f: ft,
wi,
pdf,
flags: BxDFFlags::GLOSSY_TRANSMISSION,
eta: etap,
..Default::default()
};
Some(bsdf)
}
} else {
return None;
None
}
}
}
@ -1111,23 +1129,27 @@ impl BxDFTrait for ThinDielectricBxDF {
if uc < pr / (pr + pt) {
let wi = Vector3f::new(-wo.x(), -wo.y(), wo.z());
let fr = SampledSpectrum::new(r / abs_cos_theta(wi));
let mut bsdf = BSDFSample::default();
bsdf.f = fr;
bsdf.wi = wi;
bsdf.pdf = pr / (pr + pt);
bsdf.flags = BxDFFlags::SPECULAR_REFLECTION;
return Some(bsdf);
let f = SampledSpectrum::new(r / abs_cos_theta(wi));
let bsdf = BSDFSample {
f,
wi,
pdf: pr / (pr + pt),
flags: BxDFFlags::SPECULAR_REFLECTION,
..Default::default()
};
Some(bsdf)
} else {
// Perfect specular transmission
let wi = -(*wo);
let ft = SampledSpectrum::new(t / abs_cos_theta(wi));
let mut bsdf = BSDFSample::default();
bsdf.f = ft;
bsdf.wi = wi;
bsdf.pdf = pr / (pr + pt);
bsdf.flags = BxDFFlags::SPECULAR_TRANSMISSION;
return Some(bsdf);
let f = SampledSpectrum::new(t / abs_cos_theta(wi));
let bsdf = BSDFSample {
f,
wi,
pdf: pr / (pr + pt),
flags: BxDFFlags::SPECULAR_TRANSMISSION,
..Default::default()
};
Some(bsdf)
}
}
@ -1163,9 +1185,9 @@ impl BxDFTrait for MeasuredBxDF {
let wm = wm_curr.normalize();
// Map vectors to unit square
let theta_o = spherical_theta::<Float>(wo_curr);
let theta_o = spherical_theta(wo_curr);
let phi_o = wo_curr.y().atan2(wo_curr.x());
let theta_m = spherical_theta::<Float>(wm);
let theta_m = spherical_theta(wm);
let phi_m = wm.y().atan2(wm.x());
let u_wo = Point2f::new(MeasuredBxDF::theta2u(theta_o), MeasuredBxDF::phi2u(phi_o));
let u_wm_phi = if self.brdf.isotropic {
@ -1181,14 +1203,13 @@ impl BxDFTrait for MeasuredBxDF {
// Inverse parametrization
let ui = self.brdf.vndf.invert(u_wm, [phi_o, theta_o]);
let mut fr = SampledSpectrum::default();
for i in 0..N_SPECTRUM_SAMPLES {
fr[i] = 0_f32.max(
let fr = SampledSpectrum::from_fn(|i| {
self.brdf
.spectra
.evaluate(ui.p, [phi_o, theta_o, self.lambda[i]]),
);
}
.evaluate(ui.p, [phi_o, theta_o, self.lambda[i]])
.max(0.0)
});
fr * self.brdf.ndf.evaluate(u_wm, [])
/ (4. * self.brdf.sigma.evaluate(u_wo, []) * cos_theta(*wi))
}
@ -1215,15 +1236,17 @@ impl BxDFTrait for MeasuredBxDF {
return 0.;
}
let wm = wm_curr.normalize();
let theta_o = spherical_theta::<Float>(wo_curr);
let theta_o = spherical_theta(wo_curr);
let phi_o = wo_curr.y().atan2(wo_curr.x());
let theta_m = spherical_theta::<Float>(wm);
let theta_m = spherical_theta(wm);
let phi_m = wm.y().atan2(wm.x());
let u_wm_phi = if self.brdf.isotropic {
phi_m - phi_o
} else {
phi_m
};
let mut u_wm = Point2f::new(
MeasuredBxDF::theta2u(theta_m),
MeasuredBxDF::phi2u(u_wm_phi),
@ -1254,7 +1277,7 @@ impl BxDFTrait for MeasuredBxDF {
flip_w = true;
}
let theta_o = spherical_theta::<Float>(wo_curr);
let theta_o = spherical_theta(wo_curr);
let phi_o = wo_curr.y().atan2(wo_curr.x());
// Warp sample using luminance distribution
let mut s = self.brdf.luminance.sample(u, [phi_o, theta_o]);
@ -1281,28 +1304,30 @@ impl BxDFTrait for MeasuredBxDF {
}
// Interpolate spectral BRDF
let mut fr = SampledSpectrum::new(0.);
for i in 0..N_SPECTRUM_SAMPLES {
fr[i] = 0_f32.max(
let mut f = SampledSpectrum::from_fn(|i| {
self.brdf
.spectra
.evaluate(u, [phi_o, theta_o, self.lambda[i]]),
);
}
.evaluate(u, [phi_o, theta_o, self.lambda[i]])
.max(0.0)
});
let u_wo = Point2f::new(MeasuredBxDF::theta2u(theta_o), MeasuredBxDF::phi2u(phi_o));
fr *= self.brdf.ndf.evaluate(u_wm, [])
f *= self.brdf.ndf.evaluate(u_wm, [])
/ (4. * self.brdf.sigma.evaluate(u_wo, []) * abs_cos_theta(wi));
pdf /= 4. * wm.dot(wo_curr) * f32::max(2. * square(PI) * u_wm.x(), 1e-6);
if flip_w {
wi = -wi;
}
let mut bsdf = BSDFSample::default();
bsdf.f = fr;
bsdf.wi = wi;
bsdf.pdf = pdf * lum_pdf;
bsdf.flags = BxDFFlags::GLOSSY_REFLECTION;
let bsdf = BSDFSample {
f,
wi,
pdf: pdf * lum_pdf,
flags: BxDFFlags::GLOSSY_REFLECTION,
..Default::default()
};
Some(bsdf)
}
@ -1339,30 +1364,24 @@ impl BxDFTrait for HairBxDF {
let sampled_value = -self.sigma_a * (2. * cos_gamma_t / cos_theta_t);
let t = sampled_value.exp();
let phi = phi_i - phi_o;
let ap = Self::ap(cos_theta_o, self.eta, self.h, t);
let ap_pdf = Self::ap(cos_theta_o, self.eta, self.h, t);
let mut f_sum = SampledSpectrum::new(0.);
for p in 0..P_MAX {
let sin_thetap_o: Float;
let cos_thetap_o: Float;
if p == 0 {
sin_thetap_o =
sin_theta_o * self.cos_2k_alpha[1] - cos_theta_o * self.sin_2k_alpha[1];
cos_thetap_o =
cos_theta_o * self.cos_2k_alpha[1] + sin_theta_o * self.sin_2k_alpha[1];
} else if p == 1 {
sin_thetap_o =
sin_theta_o * self.cos_2k_alpha[0] + cos_theta_o * self.sin_2k_alpha[0];
cos_thetap_o =
cos_theta_o * self.cos_2k_alpha[0] - sin_theta_o * self.sin_2k_alpha[0];
} else if p == 2 {
sin_thetap_o =
sin_theta_o * self.cos_2k_alpha[2] + cos_theta_o * self.sin_2k_alpha[2];
cos_thetap_o =
cos_theta_o * self.cos_2k_alpha[2] - sin_theta_o * self.sin_2k_alpha[2];
} else {
sin_thetap_o = sin_theta_o;
cos_thetap_o = cos_theta_o;
}
for (p, &ap) in ap_pdf.iter().enumerate().take(P_MAX) {
let (sin_thetap_o, cos_thetap_o) = match p {
0 => (
sin_theta_o * self.cos_2k_alpha[1] - cos_theta_o * self.sin_2k_alpha[1],
cos_theta_o * self.cos_2k_alpha[1] + sin_theta_o * self.sin_2k_alpha[1],
),
1 => (
sin_theta_o * self.cos_2k_alpha[0] + cos_theta_o * self.sin_2k_alpha[0],
cos_theta_o * self.cos_2k_alpha[0] - sin_theta_o * self.sin_2k_alpha[0],
),
2 => (
sin_theta_o * self.cos_2k_alpha[2] + cos_theta_o * self.sin_2k_alpha[2],
cos_theta_o * self.cos_2k_alpha[2] - sin_theta_o * self.sin_2k_alpha[2],
),
_ => (sin_theta_o, cos_theta_o),
};
f_sum += Self::mp(
cos_theta_i,
@ -1370,7 +1389,7 @@ impl BxDFTrait for HairBxDF {
sin_theta_i,
sin_thetap_o,
self.v[p],
) * ap[p]
) * ap
* Self::np(phi, p as i32, self.s, gamma_o, gamma_t);
}
if abs_cos_theta(*wi) > 0. {
@ -1394,21 +1413,21 @@ impl BxDFTrait for HairBxDF {
let ap_pdf = self.ap_pdf(cos_theta_o);
let p =
sample_discrete(&ap_pdf, uc, None, Some(&mut uc)).expect("Could not sample from AP");
let mut sin_thetap_o: Float;
let mut cos_thetap_o: Float;
if p == 0 {
sin_thetap_o = sin_theta_o * self.cos_2k_alpha[1] - cos_theta_o * self.sin_2k_alpha[1];
cos_thetap_o = cos_theta_o * self.cos_2k_alpha[1] + sin_theta_o * self.sin_2k_alpha[1];
} else if p == 1 {
sin_thetap_o = sin_theta_o * self.cos_2k_alpha[0] + cos_theta_o * self.sin_2k_alpha[0];
cos_thetap_o = cos_theta_o * self.cos_2k_alpha[0] - sin_theta_o * self.sin_2k_alpha[0];
} else if p == 2 {
sin_thetap_o = sin_theta_o * self.cos_2k_alpha[2] + cos_theta_o * self.sin_2k_alpha[2];
cos_thetap_o = cos_theta_o * self.cos_2k_alpha[2] - sin_theta_o * self.sin_2k_alpha[2];
} else {
sin_thetap_o = sin_theta_o;
cos_thetap_o = cos_theta_o;
}
let (sin_thetap_o, mut cos_thetap_o) = match p {
0 => (
sin_theta_o * self.cos_2k_alpha[1] - cos_theta_o * self.sin_2k_alpha[1],
cos_theta_o * self.cos_2k_alpha[1] + sin_theta_o * self.sin_2k_alpha[1],
),
1 => (
sin_theta_o * self.cos_2k_alpha[0] + cos_theta_o * self.sin_2k_alpha[0],
cos_theta_o * self.cos_2k_alpha[0] - sin_theta_o * self.sin_2k_alpha[0],
),
2 => (
sin_theta_o * self.cos_2k_alpha[2] + cos_theta_o * self.sin_2k_alpha[2],
cos_theta_o * self.cos_2k_alpha[2] - sin_theta_o * self.sin_2k_alpha[2],
),
_ => (sin_theta_o, cos_theta_o),
};
cos_thetap_o = cos_thetap_o.abs();
let cos_theta =
@ -1434,34 +1453,30 @@ impl BxDFTrait for HairBxDF {
);
let mut pdf = 0.;
for p in 0..P_MAX {
if p == 0 {
sin_thetap_o =
sin_theta_o * self.cos_2k_alpha[1] - cos_theta_o * self.sin_2k_alpha[1];
cos_thetap_o =
cos_theta_o * self.cos_2k_alpha[1] + sin_theta_o * self.sin_2k_alpha[1];
} else if p == 1 {
sin_thetap_o =
sin_theta_o * self.cos_2k_alpha[0] + cos_theta_o * self.sin_2k_alpha[0];
cos_thetap_o =
cos_theta_o * self.cos_2k_alpha[0] - sin_theta_o * self.sin_2k_alpha[0];
} else if p == 2 {
sin_thetap_o =
sin_theta_o * self.cos_2k_alpha[2] + cos_theta_o * self.sin_2k_alpha[2];
cos_thetap_o =
cos_theta_o * self.cos_2k_alpha[2] - sin_theta_o * self.sin_2k_alpha[2];
} else {
sin_thetap_o = sin_theta_o;
cos_thetap_o = cos_theta_o;
}
cos_thetap_o = cos_thetap_o.abs();
for (p, &ap) in ap_pdf.iter().enumerate().take(P_MAX) {
let (sin_thetap_o, cos_thetap_o_raw) = match p {
0 => (
sin_theta_o * self.cos_2k_alpha[1] - cos_theta_o * self.sin_2k_alpha[1],
cos_theta_o * self.cos_2k_alpha[1] + sin_theta_o * self.sin_2k_alpha[1],
),
1 => (
sin_theta_o * self.cos_2k_alpha[0] + cos_theta_o * self.sin_2k_alpha[0],
cos_theta_o * self.cos_2k_alpha[0] - sin_theta_o * self.sin_2k_alpha[0],
),
2 => (
sin_theta_o * self.cos_2k_alpha[2] + cos_theta_o * self.sin_2k_alpha[2],
cos_theta_o * self.cos_2k_alpha[2] - sin_theta_o * self.sin_2k_alpha[2],
),
_ => (sin_theta_o, cos_theta_o),
};
let cos_thetap_o = cos_thetap_o_raw.abs();
pdf += Self::mp(
cos_theta_i,
cos_thetap_o,
sin_theta_i,
sin_thetap_o,
self.v[p],
) * ap_pdf[p]
) * ap
* Self::np(dphi, p as i32, self.s, gamma_o, gamma_t);
}
pdf += Self::mp(
@ -1471,13 +1486,16 @@ impl BxDFTrait for HairBxDF {
sin_theta_o,
self.v[P_MAX],
) * ap_pdf[P_MAX]
* (1. / (2. * PI));
* INV_2_PI;
let bsd = BSDFSample {
f: self.f(wo, &wi, f_args.mode),
wi,
pdf,
flags: self.flags(),
..Default::default()
};
let mut bsd = BSDFSample::default();
bsd.f = self.f(wo, &wi, f_args.mode);
bsd.wi = wi;
bsd.pdf = pdf;
bsd.flags = self.flags();
Some(bsd)
}
@ -1497,38 +1515,34 @@ impl BxDFTrait for HairBxDF {
// Compute PDF for $A_p$ terms
let ap_pdf = self.ap_pdf(cos_theta_o);
let phi = phi_i - phi_o;
let mut pdf = 0.;
let mut sin_thetap_o: Float;
let mut cos_thetap_o: Float;
for p in 0..P_MAX {
if p == 0 {
sin_thetap_o =
sin_theta_o * self.cos_2k_alpha[1] - cos_theta_o * self.sin_2k_alpha[1];
cos_thetap_o =
cos_theta_o * self.cos_2k_alpha[1] + sin_theta_o * self.sin_2k_alpha[1];
} else if p == 1 {
sin_thetap_o =
sin_theta_o * self.cos_2k_alpha[0] + cos_theta_o * self.sin_2k_alpha[0];
cos_thetap_o =
cos_theta_o * self.cos_2k_alpha[0] - sin_theta_o * self.sin_2k_alpha[0];
} else if p == 2 {
sin_thetap_o =
sin_theta_o * self.cos_2k_alpha[2] + cos_theta_o * self.sin_2k_alpha[2];
cos_thetap_o =
cos_theta_o * self.cos_2k_alpha[2] - sin_theta_o * self.sin_2k_alpha[2];
} else {
sin_thetap_o = sin_theta_o;
cos_thetap_o = cos_theta_o;
}
cos_thetap_o = cos_thetap_o.abs();
let mut pdf = 0.;
for (p, &ap) in ap_pdf.iter().enumerate().take(P_MAX) {
let (sin_thetap_o, raw_cos_thetap_o) = match p {
0 => (
sin_theta_o * self.cos_2k_alpha[1] - cos_theta_o * self.sin_2k_alpha[1],
cos_theta_o * self.cos_2k_alpha[1] + sin_theta_o * self.sin_2k_alpha[1],
),
1 => (
sin_theta_o * self.cos_2k_alpha[0] + cos_theta_o * self.sin_2k_alpha[0],
cos_theta_o * self.cos_2k_alpha[0] - sin_theta_o * self.sin_2k_alpha[0],
),
2 => (
sin_theta_o * self.cos_2k_alpha[2] + cos_theta_o * self.sin_2k_alpha[2],
cos_theta_o * self.cos_2k_alpha[2] - sin_theta_o * self.sin_2k_alpha[2],
),
_ => (sin_theta_o, cos_theta_o),
};
let cos_thetap_o = raw_cos_thetap_o.abs();
pdf += Self::mp(
cos_theta_i,
cos_thetap_o,
sin_theta_i,
sin_thetap_o,
self.v[p],
) * ap_pdf[p]
) * ap
* Self::np(phi, p as i32, self.s, gamma_o, gamma_t);
}
@ -1539,7 +1553,7 @@ impl BxDFTrait for HairBxDF {
sin_theta_o,
self.v[P_MAX],
) * ap_pdf[P_MAX]
* (1. / (2. * PI));
* INV_2_PI;
pdf
}

76
src/core/film.rs
View file

@ -5,19 +5,18 @@ use crate::geometry::{
Bounds2f, Bounds2fi, Bounds2i, Normal3f, Point2f, Point2i, Point3f, Vector2f, Vector2fi,
Vector2i, Vector3f,
};
use crate::utils::color::{RGB, SRGBEncoding, Triplet, XYZ, white_balance};
use crate::utils::colorspace::RGBColorspace;
use crate::utils::containers::Array2D;
use crate::utils::image::{
Image, ImageChannelDesc, ImageChannelValues, ImageMetadata, PixelFormat,
use crate::image::{Image, ImageChannelDesc, ImageChannelValues, ImageMetadata, PixelFormat};
use crate::spectra::sampled::{LAMBDA_MAX, LAMBDA_MIN};
use crate::spectra::{
ConstantSpectrum, DenselySampledSpectrum, N_SPECTRUM_SAMPLES, SampledSpectrum,
SampledWavelengths, Spectrum, SpectrumTrait, cie_x, cie_y, cie_z,
};
use crate::utils::color::{MatrixMulColor, RGB, SRGB, Triplet, XYZ, white_balance};
use crate::utils::colorspace::RGBColorSpace;
use crate::utils::containers::Array2D;
use crate::utils::math::SquareMatrix;
use crate::utils::math::linear_least_squares;
use crate::utils::sampling::VarianceEstimator;
use crate::utils::spectrum::{
ConstantSpectrum, DenselySampledSpectrum, LAMBDA_MAX, LAMBDA_MIN, N_SPECTRUM_SAMPLES,
SampledSpectrum, SampledWavelengths, Spectrum, inner_product, spectra,
};
use crate::utils::transform::AnimatedTransform;
use rayon::prelude::*;
use std::sync::{Arc, atomic::AtomicUsize, atomic::Ordering};
@ -54,7 +53,7 @@ impl Default for RGBPixel {
impl RGBFilm {
pub fn new(
base: FilmBase,
colorspace: RGBColorspace,
colorspace: RGBColorSpace,
max_component_value: Float,
write_fp16: bool,
) -> Self {
@ -82,7 +81,7 @@ pub struct GBufferBFilm {
output_from_render: AnimatedTransform,
apply_inverse: bool,
pixels: Array2D<GBufferPixel>,
colorspace: RGBColorspace,
colorspace: RGBColorSpace,
max_component_value: Float,
write_fp16: bool,
filter_integral: Float,
@ -131,13 +130,13 @@ impl PixelSensor {
r: &Spectrum,
g: &Spectrum,
b: &Spectrum,
output_colorspace: RGBColorspace,
output_colorspace: RGBColorSpace,
sensor_illum: &Spectrum,
imaging_ratio: Float,
) -> Result<Self, Box<dyn Error>> {
let r_bar = DenselySampledSpectrum::from_spectrum(&r, LAMBDA_MIN, LAMBDA_MAX);
let g_bar = DenselySampledSpectrum::from_spectrum(&g, LAMBDA_MIN, LAMBDA_MAX);
let b_bar = DenselySampledSpectrum::from_spectrum(&b, LAMBDA_MIN, LAMBDA_MAX);
let r_bar = DenselySampledSpectrum::from_spectrum(r, LAMBDA_MIN, LAMBDA_MAX);
let g_bar = DenselySampledSpectrum::from_spectrum(g, LAMBDA_MIN, LAMBDA_MAX);
let b_bar = DenselySampledSpectrum::from_spectrum(b, LAMBDA_MIN, LAMBDA_MAX);
let mut rgb_camera = [[0.; 3]; N_SWATCH_REFLECTANCES];
for i in 0..N_SWATCH_REFLECTANCES {
@ -154,16 +153,16 @@ impl PixelSensor {
}
let mut xyz_output = [[0.; 3]; N_SWATCH_REFLECTANCES];
let sensor_white_g = inner_product(sensor_illum, &Spectrum::DenselySampled(g_bar.clone()));
let sensor_white_y = inner_product(sensor_illum, &spectra::Y);
let sensor_white_g = sensor_illum.inner_product(&Spectrum::DenselySampled(g_bar.clone()));
let sensor_white_y = sensor_illum.inner_product(cie_y());
for i in 0..N_SWATCH_REFLECTANCES {
let s = SWATCH_REFLECTANCES[i].clone();
let xyz = Self::project_reflectance::<XYZ>(
&s,
&output_colorspace.illuminant,
&spectra::X,
&spectra::Y,
&spectra::Z,
cie_x(),
cie_y(),
cie_z(),
) * (sensor_white_y / sensor_white_g);
for c in 0..3 {
xyz_output[i][c] = xyz[c];
@ -182,13 +181,13 @@ impl PixelSensor {
}
pub fn new_with_white_balance(
output_colorspace: RGBColorspace,
output_colorspace: RGBColorSpace,
sensor_illum: Option<Spectrum>,
imaging_ratio: Float,
) -> Self {
let r_bar = DenselySampledSpectrum::from_spectrum(&spectra::X, LAMBDA_MIN, LAMBDA_MAX);
let g_bar = DenselySampledSpectrum::from_spectrum(&spectra::Y, LAMBDA_MIN, LAMBDA_MAX);
let b_bar = DenselySampledSpectrum::from_spectrum(&spectra::Z, LAMBDA_MIN, LAMBDA_MAX);
let r_bar = DenselySampledSpectrum::from_spectrum(cie_x(), LAMBDA_MIN, LAMBDA_MAX);
let g_bar = DenselySampledSpectrum::from_spectrum(cie_y(), LAMBDA_MIN, LAMBDA_MAX);
let b_bar = DenselySampledSpectrum::from_spectrum(cie_z(), LAMBDA_MIN, LAMBDA_MAX);
let xyz_from_sensor_rgb: SquareMatrix<Float, 3>;
if let Some(illum) = sensor_illum {
@ -220,13 +219,13 @@ impl PixelSensor {
for lambda_ind in LAMBDA_MIN..=LAMBDA_MAX {
let lambda = lambda_ind as Float;
let illum_val = illum.sample_at(lambda);
let illum_val = illum.evaluate(lambda);
g_integral += b2.sample_at(lambda) * illum_val;
let refl_illum = refl.sample_at(lambda) * illum_val;
result[0] += b1.sample_at(lambda) * refl_illum;
result[1] += b2.sample_at(lambda) * refl_illum;
result[2] += b3.sample_at(lambda) * refl_illum;
g_integral += b2.evaluate(lambda) * illum_val;
let refl_illum = refl.evaluate(lambda) * illum_val;
result[0] += b1.evaluate(lambda) * refl_illum;
result[1] += b2.evaluate(lambda) * refl_illum;
result[2] += b3.evaluate(lambda) * refl_illum;
}
if g_integral > 0. {
@ -268,9 +267,10 @@ impl VisibleSurface {
albedo: SampledSpectrum,
_lambda: SampledWavelengths,
) -> Self {
let mut vs = VisibleSurface::default();
vs.albedo = albedo;
vs
VisibleSurface {
albedo,
..Default::default()
}
}
}
@ -392,7 +392,7 @@ pub trait FilmTrait: Sync {
})
.collect();
let mut image = Image::new(format, resolution, channel_names, Arc::new(SRGBEncoding));
let mut image = Image::new(format, resolution, channel_names, SRGB);
let rgb_desc = ImageChannelDesc::new(&[0, 1, 2]);
for (iy, row_data) in processed_rows.into_iter().enumerate() {
@ -556,7 +556,7 @@ impl FilmTrait for RGBFilm {
rgb[c] += rgb_splat[c] as Float / self.filter_integral;
}
}
self.output_rgbf_from_sensor_rgb * rgb
self.output_rgbf_from_sensor_rgb.mul_rgb(rgb)
}
fn to_output_rgb(&self, l: SampledSpectrum, lambda: &SampledWavelengths) -> RGB {
@ -564,7 +564,7 @@ impl FilmTrait for RGBFilm {
.get_pixel_sensor()
.expect("Sensor must exist")
.to_sensor_rgb(l, lambda);
self.output_rgbf_from_sensor_rgb * sensor_rgb
self.output_rgbf_from_sensor_rgb.mul_rgb(sensor_rgb)
}
fn uses_visible_surface(&self) -> bool {
@ -627,7 +627,7 @@ impl FilmTrait for GBufferBFilm {
.get_pixel_sensor()
.expect("Sensor must exist")
.to_sensor_rgb(l, lambda);
self.output_rgbf_from_sensor_rgb * sensor_rgb
self.output_rgbf_from_sensor_rgb.mul_rgb(sensor_rgb)
}
fn get_pixel_rgb(&self, p: Point2i, splat_scale: Option<Float>) -> RGB {
@ -652,7 +652,7 @@ impl FilmTrait for GBufferBFilm {
rgb[c] += rgb_splat[c] as Float / self.filter_integral;
}
}
self.output_rgbf_from_sensor_rgb * rgb
self.output_rgbf_from_sensor_rgb.mul_rgb(rgb)
}
fn uses_visible_surface(&self) -> bool {

17
src/core/interaction.rs
View file

@ -485,22 +485,23 @@ impl SurfaceInteraction {
}
self.shading.dpdu = dpdus;
self.shading.dpdv = dpdvs;
self.shading.dndu = dndus.into();
self.shading.dndv = dndvs.into();
self.shading.dndu = dndus;
self.shading.dndv = dndvs;
}
pub fn new_simple(pi: Point3fi, n: Normal3f, uv: Point2f) -> Self {
let mut si = Self::default();
si.common = InteractionData {
Self {
common: InteractionData {
pi,
n,
time: 0.,
wo: Vector3f::zero(),
medium_interface: None,
medium: None,
};
si.uv = uv;
si
},
uv,
..Default::default()
}
}
pub fn set_intersection_properties(
@ -514,7 +515,7 @@ impl SurfaceInteraction {
self.area_light = Some(area);
if prim_medium_interface
.as_ref()
.map_or(false, |mi| mi.is_medium_transition())
.is_some_and(|mi| mi.is_medium_transition())
{
self.common.medium_interface = prim_medium_interface;
} else {

24
src/core/pbrt.rs
View file

@ -29,22 +29,22 @@ impl FloatBitOps for f32 {
self.to_bits()
}
// Shift 23, Mask 8 bits (0xFF), Bias 127
#[inline(always)]
fn exponent_val(self) -> i32 {
let bits = self.to_bits();
// Shift 23, Mask 8 bits (0xFF), Bias 127
((bits >> 23) & 0xFF) as i32 - 127
}
// Mask bottom 23 bits
#[inline(always)]
fn significand_val(self) -> u32 {
// Mask bottom 23 bits
self.to_bits() & ((1 << 23) - 1)
}
// Mask top bit (31)
#[inline(always)]
fn sign_bit_val(self) -> u32 {
// Mask top bit (31)
self.to_bits() & 0x8000_0000
}
@ -62,22 +62,22 @@ impl FloatBitOps for f64 {
self.to_bits()
}
// Shift 52, Mask 11 bits (0x7FF), Bias 1023
#[inline(always)]
fn exponent_val(self) -> i32 {
let bits = self.to_bits();
// Shift 52, Mask 11 bits (0x7FF), Bias 1023
((bits >> 52) & 0x7FF) as i32 - 1023
}
// Mask bottom 52 bits
#[inline(always)]
fn significand_val(self) -> u64 {
// Mask bottom 52 bits
self.to_bits() & ((1u64 << 52) - 1)
}
// Mask top bit (63)
#[inline(always)]
fn sign_bit_val(self) -> u64 {
// Mask top bit (63)
self.to_bits() & 0x8000_0000_0000_0000
}
@ -87,7 +87,7 @@ impl FloatBitOps for f64 {
}
}
pub const MACHINE_EPSILON: Float = std::f32::EPSILON * 0.5;
pub const MACHINE_EPSILON: Float = Float::EPSILON * 0.5;
pub const SHADOW_EPSILON: Float = 0.0001;
pub const ONE_MINUS_EPSILON: Float = 0.99999994;
pub const PI: Float = std::f32::consts::PI;
@ -99,12 +99,12 @@ pub const PI_OVER_4: Float = 0.785_398_163_397_448_309_61;
pub const SQRT_2: Float = 1.414_213_562_373_095_048_80;
#[inline]
pub fn lerp<Value, Factor>(t: Factor, a: Value, b: Value) -> Value
pub fn lerp<T, F>(t: F, a: T, b: T) -> T
where
Factor: Copy + Num,
Value: Copy + Lerp<Factor>,
T: Lerp<F>,
F: Copy,
{
Value::lerp(t, a, b)
T::lerp(t, a, b)
}
pub fn linear_pdf<T>(x: T, a: T, b: T) -> T
@ -190,7 +190,7 @@ where
#[inline]
pub fn gamma(n: i32) -> Float {
return (n as Float * MACHINE_EPSILON) / (1. - n as Float * MACHINE_EPSILON);
n as Float * MACHINE_EPSILON / (1. - n as Float * MACHINE_EPSILON)
}
#[derive(Debug, Clone, Copy, PartialEq, Eq)]

2
src/core/primitive.rs
View file

@ -187,7 +187,7 @@ pub struct KdTreeAggregate;
pub enum Primitive {
Geometric(GeometricPrimitive),
Transformed(TransformedPrimitive),
Animated(AnimatedPrimitive),
Animated(Box<AnimatedPrimitive>),
BVH(BVHAggregatePrimitive),
KdTree(KdTreeAggregate),
}

534
src/core/sampler.rs
View file

@ -1,5 +1,6 @@
use std::ops::RangeFull;
use enum_dispatch::enum_dispatch;
use rand::seq::index::sample;
use crate::core::filter::FilterTrait;
@ -44,12 +45,12 @@ where
F: FilterTrait,
{
let fs = filter.sample(sampler.get_pixel2d());
let mut cs = CameraSample::default();
cs.p_film = Point2f::from(p_pixel) + Vector2f::from(fs.p) + Vector2f::new(0.5, 0.5);
cs.time = sampler.get1d();
cs.p_lens = sampler.get2d();
cs.filter_weight = fs.weight;
cs
CameraSample {
p_film: Point2f::from(p_pixel) + Vector2f::from(fs.p) + Vector2f::new(0.5, 0.5),
time: sampler.get1d(),
p_lens: sampler.get2d(),
filter_weight: fs.weight,
}
}
#[derive(Default, Debug, Clone)]
@ -67,11 +68,13 @@ impl IndependentSampler {
rng: Rng::default(),
}
}
}
pub fn samples_per_pixel(&self) -> usize {
impl SamplerTrait for IndependentSampler {
fn samples_per_pixel(&self) -> usize {
self.samples_per_pixel
}
pub fn start_pixel_sample(&mut self, p: Point2i, sample_index: usize, dim: Option<usize>) {
fn start_pixel_sample(&mut self, p: Point2i, sample_index: usize, dim: Option<usize>) {
let hash_input = [p.x() as u64, p.y() as u64, self.seed];
let sequence_index = hash_buffer(&hash_input, 0);
self.rng.set_sequence(sequence_index);
@ -79,13 +82,13 @@ impl IndependentSampler {
.advance((sample_index as u64) * 65536 + (dim.unwrap_or(0) as u64));
}
pub fn get1d(&mut self) -> Float {
fn get1d(&mut self) -> Float {
self.rng.uniform::<Float>()
}
pub fn get2d(&mut self) -> Point2f {
fn get2d(&mut self) -> Point2f {
Point2f::new(self.rng.uniform::<Float>(), self.rng.uniform::<Float>())
}
pub fn get_pixel2d(&mut self) -> Point2f {
fn get_pixel2d(&mut self) -> Point2f {
self.get2d()
}
}
@ -160,82 +163,22 @@ impl HaltonSampler {
dim: 0,
}
}
pub fn samples_per_pixel(&self) -> usize {
self.samples_per_pixel
}
pub fn start_pixel_sample(&mut self, p: Point2i, sample_index: usize, dim: Option<usize>) {
self.halton_index = 0;
let sample_stride = self.base_scales[0] * self.base_scales[1];
if sample_stride > 1 {
let pm_x = p.x().rem_euclid(MAX_HALTON_RESOLUTION) as u64;
let pm_y = p.y().rem_euclid(MAX_HALTON_RESOLUTION) as u64;
let dim_offset_x = inverse_radical_inverse(pm_x, 2, self.base_exponents[0] as u64);
self.halton_index = self.halton_index.wrapping_add(
dim_offset_x
.wrapping_mul(sample_stride / self.base_scales[0])
.wrapping_mul(self.mult_inverse[0]),
);
let dim_offset_y = inverse_radical_inverse(pm_y, 3, self.base_exponents[1] as u64);
self.halton_index = self.halton_index.wrapping_add(
dim_offset_y
.wrapping_mul(sample_stride / self.base_scales[1])
.wrapping_mul(self.mult_inverse[1]),
);
self.halton_index %= sample_stride;
}
self.halton_index = self
.halton_index
.wrapping_add((sample_index as u64).wrapping_mul(sample_stride));
self.dim = 2.max(dim.unwrap_or(0));
}
pub fn get1d(&mut self) -> Float {
if self.dim > PRIME_TABLE_SIZE {
self.dim = 2;
}
self.sample_dimension(self.dim)
}
pub fn get2d(&mut self) -> Point2f {
if self.dim > PRIME_TABLE_SIZE {
self.dim = 2;
}
let dim = self.dim;
self.dim += 2;
Point2f::new(self.sample_dimension(dim), self.sample_dimension(dim + 1))
}
pub fn get_pixel2d(&mut self) -> Point2f {
Point2f::new(
radical_inverse(0, self.halton_index >> self.base_exponents[0]),
radical_inverse(1, self.halton_index >> self.base_exponents[1]),
)
}
fn sample_dimension(&self, dimension: usize) -> Float {
if self.randomize == RandomizeStrategy::None {
return radical_inverse(dimension, self.halton_index);
radical_inverse(dimension, self.halton_index)
} else if self.randomize == RandomizeStrategy::PermuteDigits {
return scrambled_radical_inverse(
scrambled_radical_inverse(
dimension,
self.halton_index,
&self.digit_permutations[dimension],
);
)
} else {
return owen_scrambled_radical_inverse(
owen_scrambled_radical_inverse(
dimension,
self.halton_index,
mix_bits(1 + ((dimension as u64) << 4)) as u32,
);
)
}
}
@ -257,6 +200,69 @@ impl HaltonSampler {
}
}
impl SamplerTrait for HaltonSampler {
fn samples_per_pixel(&self) -> usize {
self.samples_per_pixel
}
fn start_pixel_sample(&mut self, p: Point2i, sample_index: usize, dim: Option<usize>) {
self.halton_index = 0;
let sample_stride = self.base_scales[0] * self.base_scales[1];
if sample_stride > 1 {
let pm_x = p.x().rem_euclid(MAX_HALTON_RESOLUTION) as u64;
let pm_y = p.y().rem_euclid(MAX_HALTON_RESOLUTION) as u64;
let dim_offset_x = inverse_radical_inverse(pm_x, 2, self.base_exponents[0]);
self.halton_index = self.halton_index.wrapping_add(
dim_offset_x
.wrapping_mul(sample_stride / self.base_scales[0])
.wrapping_mul(self.mult_inverse[0]),
);
let dim_offset_y = inverse_radical_inverse(pm_y, 3, self.base_exponents[1]);
self.halton_index = self.halton_index.wrapping_add(
dim_offset_y
.wrapping_mul(sample_stride / self.base_scales[1])
.wrapping_mul(self.mult_inverse[1]),
);
self.halton_index %= sample_stride;
}
self.halton_index = self
.halton_index
.wrapping_add((sample_index as u64).wrapping_mul(sample_stride));
self.dim = 2.max(dim.unwrap_or(0));
}
fn get1d(&mut self) -> Float {
if self.dim > PRIME_TABLE_SIZE {
self.dim = 2;
}
self.sample_dimension(self.dim)
}
fn get2d(&mut self) -> Point2f {
if self.dim > PRIME_TABLE_SIZE {
self.dim = 2;
}
let dim = self.dim;
self.dim += 2;
Point2f::new(self.sample_dimension(dim), self.sample_dimension(dim + 1))
}
fn get_pixel2d(&mut self) -> Point2f {
Point2f::new(
radical_inverse(0, self.halton_index >> self.base_exponents[0]),
radical_inverse(1, self.halton_index >> self.base_exponents[1]),
)
}
}
#[derive(Default, Debug, Clone)]
pub struct StratifiedSampler {
x_pixel_samples: usize,
@ -287,12 +293,14 @@ impl StratifiedSampler {
dim: 0,
}
}
}
pub fn samples_per_pixel(&self) -> usize {
impl SamplerTrait for StratifiedSampler {
fn samples_per_pixel(&self) -> usize {
self.x_pixel_samples * self.y_pixel_samples
}
pub fn start_pixel_sample(&mut self, p: Point2i, sample_index: usize, dim: Option<usize>) {
fn start_pixel_sample(&mut self, p: Point2i, sample_index: usize, dim: Option<usize>) {
self.pixel = p;
self.sample_index = sample_index;
let hash_input = [p.x() as u64, p.y() as u64, self.seed];
@ -302,7 +310,7 @@ impl StratifiedSampler {
.advance((sample_index as u64) * 65536 + (dim.unwrap_or(0) as u64));
}
pub fn get1d(&mut self) -> Float {
fn get1d(&mut self) -> Float {
let hash_input = [
self.pixel.x() as u64,
self.pixel.y() as u64,
@ -325,7 +333,7 @@ impl StratifiedSampler {
(stratum as Float + delta) / (self.samples_per_pixel() as Float)
}
pub fn get2d(&mut self) -> Point2f {
fn get2d(&mut self) -> Point2f {
let hash_input = [
self.pixel.x() as u64,
self.pixel.y() as u64,
@ -357,7 +365,7 @@ impl StratifiedSampler {
)
}
pub fn get_pixel2d(&mut self) -> Point2f {
fn get_pixel2d(&mut self) -> Point2f {
self.get2d()
}
}
@ -383,16 +391,35 @@ impl PaddedSobolSampler {
dim: 0,
}
}
pub fn samples_per_pixel(&self) -> usize {
fn sample_dimension(&self, dimension: usize, a: u32, hash: u32) -> Float {
if self.randomize == RandomizeStrategy::None {
return sobol_sample(a as u64, dimension, NoRandomizer);
}
match self.randomize {
RandomizeStrategy::PermuteDigits => {
sobol_sample(a as u64, dimension, BinaryPermuteScrambler::new(hash))
}
RandomizeStrategy::FastOwen => {
sobol_sample(a as u64, dimension, FastOwenScrambler::new(hash))
}
RandomizeStrategy::Owen => sobol_sample(a as u64, dimension, OwenScrambler::new(hash)),
RandomizeStrategy::None => unreachable!(),
}
}
}
impl SamplerTrait for PaddedSobolSampler {
fn samples_per_pixel(&self) -> usize {
self.samples_per_pixel
}
pub fn start_pixel_sample(&mut self, p: Point2i, sample_index: usize, dim: Option<usize>) {
fn start_pixel_sample(&mut self, p: Point2i, sample_index: usize, dim: Option<usize>) {
self.pixel = p;
self.sample_index = sample_index;
self.dim = dim.unwrap_or(0);
}
pub fn get1d(&mut self) -> Float {
fn get1d(&mut self) -> Float {
let hash_input = [
self.pixel.x() as u64,
self.pixel.y() as u64,
@ -407,7 +434,7 @@ impl PaddedSobolSampler {
);
self.sample_dimension(0, index, hash >> 32)
}
pub fn get2d(&mut self) -> Point2f {
fn get2d(&mut self) -> Point2f {
let hash_input = [
self.pixel.x() as u64,
self.pixel.y() as u64,
@ -427,25 +454,9 @@ impl PaddedSobolSampler {
)
}
pub fn get_pixel2d(&mut self) -> Point2f {
fn get_pixel2d(&mut self) -> Point2f {
self.get2d()
}
fn sample_dimension(&self, dimension: usize, a: u32, hash: u32) -> Float {
if self.randomize == RandomizeStrategy::None {
return sobol_sample(a as u64, dimension, NoRandomizer);
}
match self.randomize {
RandomizeStrategy::PermuteDigits => {
sobol_sample(a as u64, dimension, BinaryPermuteScrambler::new(hash))
}
RandomizeStrategy::FastOwen => {
sobol_sample(a as u64, dimension, FastOwenScrambler::new(hash))
}
RandomizeStrategy::Owen => sobol_sample(a as u64, dimension, OwenScrambler::new(hash)),
RandomizeStrategy::None => unreachable!(),
}
}
}
#[derive(Default, Debug, Clone)]
@ -477,55 +488,6 @@ impl SobolSampler {
sobol_index: 0,
}
}
pub fn samples_per_pixel(&self) -> usize {
self.samples_per_pixel
}
pub fn start_pixel_sample(&mut self, p: Point2i, sample_index: usize, dim: Option<usize>) {
self.pixel = p;
self.dim = 2.max(dim.unwrap_or(0));
self.sobol_index =
sobol_interval_to_index(log2_int(self.scale as Float) as u32, sample_index as u64, p)
}
pub fn get1d(&mut self) -> Float {
if self.dim >= N_SOBOL_DIMENSIONS {
self.dim = 2;
}
let dim = self.dim;
self.dim += 1;
self.sample_dimension(dim)
}
pub fn get2d(&mut self) -> Point2f {
if self.dim >= N_SOBOL_DIMENSIONS {
self.dim = 2;
}
let u = Point2f::new(
self.sample_dimension(self.dim),
self.sample_dimension(self.dim + 1),
);
self.dim += 2;
u
}
pub fn get_pixel2d(&mut self) -> Point2f {
let mut u = Point2f::new(
sobol_sample(self.sobol_index, 0, NoRandomizer),
sobol_sample(self.sobol_index, 1, NoRandomizer),
);
u[0] = clamp_t(
u[0] * self.scale as Float - self.pixel[0] as Float,
0.,
ONE_MINUS_EPSILON,
) as Float;
u[1] = clamp_t(
u[1] * self.scale as Float - self.pixel[1] as Float,
1.,
ONE_MINUS_EPSILON,
) as Float;
u
}
fn sample_dimension(&self, dimension: usize) -> Float {
if self.randomize == RandomizeStrategy::None {
@ -550,6 +512,58 @@ impl SobolSampler {
}
}
impl SamplerTrait for SobolSampler {
fn samples_per_pixel(&self) -> usize {
self.samples_per_pixel
}
fn start_pixel_sample(&mut self, p: Point2i, sample_index: usize, dim: Option<usize>) {
self.pixel = p;
self.dim = 2.max(dim.unwrap_or(0));
self.sobol_index =
sobol_interval_to_index(log2_int(self.scale as Float) as u32, sample_index as u64, p)
}
fn get1d(&mut self) -> Float {
if self.dim >= N_SOBOL_DIMENSIONS {
self.dim = 2;
}
let dim = self.dim;
self.dim += 1;
self.sample_dimension(dim)
}
fn get2d(&mut self) -> Point2f {
if self.dim >= N_SOBOL_DIMENSIONS {
self.dim = 2;
}
let u = Point2f::new(
self.sample_dimension(self.dim),
self.sample_dimension(self.dim + 1),
);
self.dim += 2;
u
}
fn get_pixel2d(&mut self) -> Point2f {
let mut u = Point2f::new(
sobol_sample(self.sobol_index, 0, NoRandomizer),
sobol_sample(self.sobol_index, 1, NoRandomizer),
);
u[0] = clamp_t(
u[0] * self.scale as Float - self.pixel[0] as Float,
0.,
ONE_MINUS_EPSILON,
) as Float;
u[1] = clamp_t(
u[1] * self.scale as Float - self.pixel[1] as Float,
1.,
ONE_MINUS_EPSILON,
) as Float;
u
}
}
#[derive(Default, Debug, Clone)]
pub struct ZSobolSampler {
randomize: RandomizeStrategy,
@ -569,7 +583,7 @@ impl ZSobolSampler {
) -> Self {
let log2_samples_per_pixel = log2_int(samples_per_pixel as Float) as u32;
let res = round_up_pow2(full_resolution.x().max(full_resolution.y()));
let log4_samples_per_pixel = (log2_samples_per_pixel + 1) / 2;
let log4_samples_per_pixel = log2_samples_per_pixel.div_ceil(2);
let n_base4_digits = log2_int(res as Float) as u32 + log4_samples_per_pixel;
Self {
randomize,
@ -581,71 +595,6 @@ impl ZSobolSampler {
}
}
pub fn samples_per_pixel(&self) -> usize {
todo!()
}
pub fn start_pixel_sample(&mut self, p: Point2i, sample_index: usize, dim: Option<usize>) {
self.dim = dim.unwrap_or(0);
self.morton_index = (encode_morton_2(p.x() as u32, p.y() as u32)
<< self.log2_samples_per_pixel)
| sample_index as u64
}
pub fn get1d(&mut self) -> Float {
let sample_index = self.get_sample_index();
let hash_input = [self.dim as u64, self.seed];
let hash = hash_buffer(&hash_input, 0) as u32;
self.dim += 1;
if self.randomize == RandomizeStrategy::None {
return sobol_sample(sample_index, self.dim, NoRandomizer);
}
match self.randomize {
RandomizeStrategy::PermuteDigits => {
sobol_sample(sample_index, self.dim, BinaryPermuteScrambler::new(hash))
}
RandomizeStrategy::FastOwen => {
sobol_sample(sample_index, self.dim, FastOwenScrambler::new(hash))
}
RandomizeStrategy::Owen => {
sobol_sample(sample_index, self.dim, OwenScrambler::new(hash))
}
RandomizeStrategy::None => unreachable!(),
}
}
pub fn get2d(&mut self) -> Point2f {
let sample_index = self.get_sample_index();
self.dim += 2;
let hash_input = [self.dim as u64, self.seed];
let hash = hash_buffer(&hash_input, 0);
let sample_hash = [hash as u32, (hash >> 32) as u32];
if self.randomize == RandomizeStrategy::None {
return Point2f::new(
sobol_sample(sample_index, 0, NoRandomizer),
sobol_sample(sample_index, 1, NoRandomizer),
);
}
match self.randomize {
RandomizeStrategy::PermuteDigits => Point2f::new(
sobol_sample(sample_index, 0, BinaryPermuteScrambler::new(sample_hash[0])),
sobol_sample(sample_index, 1, BinaryPermuteScrambler::new(sample_hash[1])),
),
RandomizeStrategy::FastOwen => Point2f::new(
sobol_sample(sample_index, 0, FastOwenScrambler::new(sample_hash[0])),
sobol_sample(sample_index, 1, FastOwenScrambler::new(sample_hash[1])),
),
RandomizeStrategy::Owen => Point2f::new(
sobol_sample(sample_index, 0, OwenScrambler::new(sample_hash[0])),
sobol_sample(sample_index, 1, OwenScrambler::new(sample_hash[1])),
),
RandomizeStrategy::None => unreachable!(),
}
}
pub fn get_pixel2d(&mut self) -> Point2f {
self.get2d()
}
fn get_sample_index(&self) -> u64 {
const PERMUTATIONS: [[u8; 4]; 24] = [
[0, 1, 2, 3],
@ -701,35 +650,107 @@ impl ZSobolSampler {
sample_index
}
}
impl SamplerTrait for ZSobolSampler {
fn samples_per_pixel(&self) -> usize {
todo!()
}
fn start_pixel_sample(&mut self, p: Point2i, sample_index: usize, dim: Option<usize>) {
self.dim = dim.unwrap_or(0);
self.morton_index = (encode_morton_2(p.x() as u32, p.y() as u32)
<< self.log2_samples_per_pixel)
| sample_index as u64
}
fn get1d(&mut self) -> Float {
let sample_index = self.get_sample_index();
let hash_input = [self.dim as u64, self.seed];
let hash = hash_buffer(&hash_input, 0) as u32;
self.dim += 1;
if self.randomize == RandomizeStrategy::None {
return sobol_sample(sample_index, self.dim, NoRandomizer);
}
match self.randomize {
RandomizeStrategy::PermuteDigits => {
sobol_sample(sample_index, self.dim, BinaryPermuteScrambler::new(hash))
}
RandomizeStrategy::FastOwen => {
sobol_sample(sample_index, self.dim, FastOwenScrambler::new(hash))
}
RandomizeStrategy::Owen => {
sobol_sample(sample_index, self.dim, OwenScrambler::new(hash))
}
RandomizeStrategy::None => unreachable!(),
}
}
fn get2d(&mut self) -> Point2f {
let sample_index = self.get_sample_index();
self.dim += 2;
let hash_input = [self.dim as u64, self.seed];
let hash = hash_buffer(&hash_input, 0);
let sample_hash = [hash as u32, (hash >> 32) as u32];
if self.randomize == RandomizeStrategy::None {
return Point2f::new(
sobol_sample(sample_index, 0, NoRandomizer),
sobol_sample(sample_index, 1, NoRandomizer),
);
}
match self.randomize {
RandomizeStrategy::PermuteDigits => Point2f::new(
sobol_sample(sample_index, 0, BinaryPermuteScrambler::new(sample_hash[0])),
sobol_sample(sample_index, 1, BinaryPermuteScrambler::new(sample_hash[1])),
),
RandomizeStrategy::FastOwen => Point2f::new(
sobol_sample(sample_index, 0, FastOwenScrambler::new(sample_hash[0])),
sobol_sample(sample_index, 1, FastOwenScrambler::new(sample_hash[1])),
),
RandomizeStrategy::Owen => Point2f::new(
sobol_sample(sample_index, 0, OwenScrambler::new(sample_hash[0])),
sobol_sample(sample_index, 1, OwenScrambler::new(sample_hash[1])),
),
RandomizeStrategy::None => unreachable!(),
}
}
fn get_pixel2d(&mut self) -> Point2f {
self.get2d()
}
}
#[derive(Default, Debug, Clone)]
pub struct MLTSampler;
impl MLTSampler {
pub fn samples_per_pixel(&self) -> usize {
impl SamplerTrait for MLTSampler {
fn samples_per_pixel(&self) -> usize {
todo!()
}
pub fn start_pixel_sample(&mut self, _p: Point2i, _sample_index: usize, _dim: Option<usize>) {
fn start_pixel_sample(&mut self, _p: Point2i, _sample_index: usize, _dim: Option<usize>) {
todo!()
}
pub fn get1d(&mut self) -> Float {
fn get1d(&mut self) -> Float {
todo!()
}
pub fn get2d(&mut self) -> Point2f {
fn get2d(&mut self) -> Point2f {
todo!()
}
pub fn get_pixel2d(&mut self) -> Point2f {
fn get_pixel2d(&mut self) -> Point2f {
todo!()
}
}
#[enum_dispatch]
pub trait SamplerTrait {
fn samples_per_pixel(&self) -> usize;
fn start_pixel_sample(&mut self, p: Point2i, sample_index: usize, dim: Option<usize>);
fn get1d(&mut self) -> Float;
fn get2d(&mut self) -> Point2f;
fn get_pixel2d(&mut self) -> Point2f;
fn clone_sampler(&self) -> Box<Sampler>;
// fn clone_sampler(&self) -> Box<Sampler> {
// Box::new(self.clone())
// }
}
#[enum_dispatch(SamplerTrait)]
#[derive(Debug, Clone)]
pub enum Sampler {
Independent(IndependentSampler),
@ -740,68 +761,3 @@ pub enum Sampler {
ZSobol(ZSobolSampler),
MLT(MLTSampler),
}
impl SamplerTrait for Sampler {
fn samples_per_pixel(&self) -> usize {
match self {
Self::Independent(inner) => inner.samples_per_pixel(),
Self::Stratified(inner) => inner.samples_per_pixel(),
Self::Halton(inner) => inner.samples_per_pixel(),
Self::PaddedSobol(inner) => inner.samples_per_pixel(),
Self::Sobol(inner) => inner.samples_per_pixel(),
Self::ZSobol(inner) => inner.samples_per_pixel(),
Self::MLT(inner) => inner.samples_per_pixel(),
}
}
fn start_pixel_sample(&mut self, p: Point2i, sample_index: usize, dim: Option<usize>) {
match self {
Self::Independent(inner) => inner.start_pixel_sample(p, sample_index, dim),
Self::Stratified(inner) => inner.start_pixel_sample(p, sample_index, dim),
Self::Halton(inner) => inner.start_pixel_sample(p, sample_index, dim),
Self::PaddedSobol(inner) => inner.start_pixel_sample(p, sample_index, dim),
Self::Sobol(inner) => inner.start_pixel_sample(p, sample_index, dim),
Self::ZSobol(inner) => inner.start_pixel_sample(p, sample_index, dim),
Self::MLT(inner) => inner.start_pixel_sample(p, sample_index, dim),
}
}
fn get1d(&mut self) -> Float {
match self {
Self::Independent(inner) => inner.get1d(),
Self::Stratified(inner) => inner.get1d(),
Self::Halton(inner) => inner.get1d(),
Self::PaddedSobol(inner) => inner.get1d(),
Self::Sobol(inner) => inner.get1d(),
Self::ZSobol(inner) => inner.get1d(),
Self::MLT(inner) => inner.get1d(),
}
}
fn get2d(&mut self) -> Point2f {
match self {
Self::Independent(inner) => inner.get2d(),
Self::Stratified(inner) => inner.get2d(),
Self::Halton(inner) => inner.get2d(),
Self::PaddedSobol(inner) => inner.get2d(),
Self::Sobol(inner) => inner.get2d(),
Self::ZSobol(inner) => inner.get2d(),
Self::MLT(inner) => inner.get2d(),
}
}
fn get_pixel2d(&mut self) -> Point2f {
match self {
Self::Independent(inner) => inner.get_pixel2d(),
Self::Stratified(inner) => inner.get_pixel2d(),
Self::Halton(inner) => inner.get_pixel2d(),
Self::PaddedSobol(inner) => inner.get_pixel2d(),
Self::Sobol(inner) => inner.get_pixel2d(),
Self::ZSobol(inner) => inner.get_pixel2d(),
Self::MLT(inner) => inner.get_pixel2d(),
}
}
fn clone_sampler(&self) -> Box<Sampler> {
Box::new(self.clone())
}
}

561
src/core/texture.rs
View file

@ -1,6 +1,238 @@
use crate::core::pbrt::Float;
use crate::geometry::{Point3f, Vector3f, Normal3f, Point2f};
use crate::core::interaction::SurfaceInteraction;
use crate::core::pbrt::Float;
use crate::core::pbrt::{INV_2_PI, INV_PI, PI};
use crate::geometry::{Normal3f, Point2f, Point3f, Vector3f, VectorLike};
use crate::geometry::{spherical_phi, spherical_theta};
use crate::image::WrapMode;
use crate::spectra::{SampledSpectrum, Spectrum};
use crate::spectra::{SampledWavelengths, SpectrumTrait};
use crate::utils::color::ColorEncoding;
use crate::utils::math::square;
use crate::utils::mipmap::MIPMap;
use crate::utils::mipmap::{MIPMapFilterOptions, MIPMapSample};
use crate::utils::transform::Transform;
use std::collections::HashMap;
use std::sync::{Arc, Mutex, OnceLock};
use enum_dispatch::enum_dispatch;
struct TexCoord2D {
st: Point2f,
dsdx: Float,
dsdy: Float,
dtdx: Float,
dtdy: Float,
}
#[enum_dispatch]
trait TextureMapping2DTrait {
fn map(&self, ctx: TextureEvalContext) -> TexCoord2D;
}
#[enum_dispatch(TextureMapping2DTrait)]
pub enum TextureMapping2D {
UV(UVMapping),
Spherical(SphericalMapping),
Cylindrical(CylindricalMapping),
Planar(PlanarMapping),
}
pub struct UVMapping {
su: Float,
sv: Float,
du: Float,
dv: Float,
}
impl Default for UVMapping {
fn default() -> Self {
Self {
su: 1.0,
sv: 1.0,
du: 0.0,
dv: 0.0,
}
}
}
impl TextureMapping2DTrait for UVMapping {
fn map(&self, ctx: TextureEvalContext) -> TexCoord2D {
let dsdx = self.su * ctx.dudx;
let dsdy = self.su * ctx.dudy;
let dtdx = self.sv * ctx.dvdx;
let dtdy = self.sv * ctx.dvdy;
let st = Point2f::new(self.su * ctx.uv[0] + self.du, self.sv * ctx.uv[1] * self.dv);
TexCoord2D {
st,
dsdx,
dsdy,
dtdx,
dtdy,
}
}
}
pub struct SphericalMapping {
texture_from_render: Transform<Float>,
}
impl SphericalMapping {
pub fn new(texture_from_render: &Transform<Float>) -> Self {
Self {
texture_from_render: *texture_from_render,
}
}
}
impl TextureMapping2DTrait for SphericalMapping {
fn map(&self, ctx: TextureEvalContext) -> TexCoord2D {
let pt = self.texture_from_render.apply_to_point(ctx.p);
let x2y2 = square(pt.x()) + square(pt.y());
let sqrtx2y2 = x2y2.sqrt();
let dsdp = Vector3f::new(-pt.y(), pt.x(), 0.) / (2. * PI * x2y2);
let dtdp = 1. / (PI * (x2y2 * square(pt.z())))
* Vector3f::new(
pt.x() * pt.z() / sqrtx2y2,
pt.y() * pt.z() / sqrtx2y2,
-sqrtx2y2,
);
let dpdx = self.texture_from_render.apply_to_vector(ctx.dpdx);
let dpdy = self.texture_from_render.apply_to_vector(ctx.dpdy);
let dsdx = dsdp.dot(dpdx);
let dsdy = dsdp.dot(dpdy);
let dtdx = dtdp.dot(dpdx);
let dtdy = dtdp.dot(dpdy);
let vec = (pt - Point3f::default()).normalize();
let st = Point2f::new(spherical_theta(vec) * INV_PI, spherical_phi(vec) * INV_2_PI);
TexCoord2D {
st,
dsdx,
dsdy,
dtdx,
dtdy,
}
}
}
pub struct CylindricalMapping {
texture_from_render: Transform<Float>,
}
impl CylindricalMapping {
pub fn new(texture_from_render: &Transform<Float>) -> Self {
Self {
texture_from_render: *texture_from_render,
}
}
}
impl TextureMapping2DTrait for CylindricalMapping {
fn map(&self, ctx: TextureEvalContext) -> TexCoord2D {
let pt = self.texture_from_render.apply_to_point(ctx.p);
let x2y2 = square(pt.x()) + square(pt.y());
let dsdp = Vector3f::new(-pt.y(), pt.x(), 0.) / (2. * PI * x2y2);
let dtdp = Vector3f::new(1., 0., 0.);
let dpdx = self.texture_from_render.apply_to_vector(ctx.dpdx);
let dpdy = self.texture_from_render.apply_to_vector(ctx.dpdy);
let dsdx = dsdp.dot(dpdx);
let dsdy = dsdp.dot(dpdy);
let dtdx = dtdp.dot(dpdx);
let dtdy = dtdp.dot(dpdy);
let st = Point2f::new((PI * pt.y().atan2(pt.x())) * INV_2_PI, pt.z());
TexCoord2D {
st,
dsdx,
dsdy,
dtdx,
dtdy,
}
}
}
pub struct PlanarMapping {
texture_from_render: Transform<Float>,
vs: Vector3f,
vt: Vector3f,
ds: Float,
dt: Float,
}
impl PlanarMapping {
pub fn new(
texture_from_render: &Transform<Float>,
vs: Vector3f,
vt: Vector3f,
ds: Float,
dt: Float,
) -> Self {
Self {
texture_from_render: *texture_from_render,
vs,
vt,
ds,
dt,
}
}
}
impl TextureMapping2DTrait for PlanarMapping {
fn map(&self, ctx: TextureEvalContext) -> TexCoord2D {
let vec: Vector3f = self.texture_from_render.apply_to_point(ctx.p).into();
let dpdx = self.texture_from_render.apply_to_vector(ctx.dpdx);
let dpdy = self.texture_from_render.apply_to_vector(ctx.dpdy);
let dsdx = self.vs.dot(dpdx);
let dsdy = self.vs.dot(dpdy);
let dtdx = self.vt.dot(dpdx);
let dtdy = self.vt.dot(dpdy);
let st = Point2f::new(self.ds + vec.dot(self.vs), self.dt + vec.dot(self.vt));
TexCoord2D {
st,
dsdx,
dsdy,
dtdx,
dtdy,
}
}
}
pub struct TexCoord3D {
p: Point3f,
dpdx: Vector3f,
dpdy: Vector3f,
}
pub trait TextureMapping3DTrait {
fn map(&self, ctx: &TextureEvalContext) -> TexCoord3D;
}
#[derive(Clone, Debug)]
#[enum_dispatch(TextureMapping3DTrait)]
pub enum TextureMapping3D {
PointTransform(PointTransformMapping),
}
#[derive(Clone, Debug)]
pub struct PointTransformMapping {
texture_from_render: Transform<Float>,
}
impl PointTransformMapping {
pub fn new(texture_from_render: &Transform<Float>) -> Self {
Self {
texture_from_render: *texture_from_render,
}
}
}
impl TextureMapping3DTrait for PointTransformMapping {
fn map(&self, ctx: &TextureEvalContext) -> TexCoord3D {
TexCoord3D {
p: self.texture_from_render.apply_to_point(ctx.p),
dpdx: self.texture_from_render.apply_to_vector(ctx.dpdx),
dpdy: self.texture_from_render.apply_to_vector(ctx.dpdy),
}
}
}
pub struct TextureEvalContext {
p: Point3f,
@ -17,7 +249,9 @@ pub struct TextureEvalContext {
}
impl TextureEvalContext {
pub fn new(p: Point3f,
#[allow(clippy::too_many_arguments)]
pub fn new(
p: Point3f,
dpdx: Vector3f,
dpdy: Vector3f,
n: Normal3f,
@ -28,7 +262,18 @@ impl TextureEvalContext {
dvdy: Float,
face_index: usize,
) -> Self {
Self {p, dpdx, dpdy, n, uv, dudx, dudy, dvdx, dvdy , face_index }
Self {
p,
dpdx,
dpdy,
n,
uv,
dudx,
dudy,
dvdx,
dvdy,
face_index,
}
}
}
@ -49,18 +294,45 @@ impl From<&SurfaceInteraction> for TextureEvalContext {
}
}
#[enum_dispatch]
pub trait FloatTextureTrait: Send + Sync + std::fmt::Debug {
fn evaluate(&self, _ctx: &TextureEvalContext) -> Float {
todo!()
}
}
#[enum_dispatch(FloatTextureTrait)]
#[derive(Debug, Clone)]
pub struct FloatImageTexture;
pub enum FloatTexture {
FloatConstant(FloatConstantTexture),
GPUFloatImage(GPUFloatImageTexture),
FloatMix(FloatMixTexture),
FloatDirectionMix(FloatDirectionMixTexture),
FloatScaled(FloatScaledTexture),
FloatBilerp(FloatBilerpTexture),
FloatCheckerboard(FloatCheckerboardTexture),
FloatDots(FloatDotsTexture),
FBm(FBmTexture),
FloatPtex(FloatPtexTexture),
GPUFLoatPtex(GPUFloatPtexTexture),
Windy(WindyTexture),
Wrinkled(WrinkledTexture),
}
impl FloatTextureTrait for FloatImageTexture {
#[derive(Debug, Clone)]
pub struct FloatConstantTexture {
value: Float,
}
impl FloatConstantTexture {
pub fn new(value: Float) -> Self {
Self { value }
}
}
impl FloatTextureTrait for FloatConstantTexture {
fn evaluate(&self, _ctx: &TextureEvalContext) -> Float {
todo!();
self.value
}
}
@ -69,20 +341,56 @@ pub struct GPUFloatImageTexture;
impl FloatTextureTrait for GPUFloatImageTexture {}
#[derive(Debug, Clone)]
pub struct FloatMixTexture;
impl FloatTextureTrait for FloatMixTexture {}
pub struct FloatMixTexture {
tex1: Box<FloatTexture>,
tex2: Box<FloatTexture>,
amount: Box<FloatTexture>,
}
impl FloatMixTexture {
pub fn new(
tex1: Box<FloatTexture>,
tex2: Box<FloatTexture>,
amount: Box<FloatTexture>,
) -> Self {
Self { tex1, tex2, amount }
}
}
impl FloatTextureTrait for FloatMixTexture {
fn evaluate(&self, ctx: &TextureEvalContext) -> Float {
let amt = self.amount.evaluate(ctx);
let mut t1 = 0.;
let mut t2 = 0.;
if amt != 1. {
t1 = self.tex1.evaluate(ctx);
}
if amt != 0. {
t2 = self.tex2.evaluate(ctx);
}
(1. - amt) * t1 + amt * t2
}
}
#[derive(Debug, Clone)]
pub struct FloatDirectionMixTexture;
impl FloatTextureTrait for FloatDirectionMixTexture {}
#[derive(Debug, Clone)]
pub struct FloatScaledTexture;
impl FloatTextureTrait for FloatScaledTexture {}
pub struct FloatScaledTexture {
tex: Box<FloatTexture>,
scale: Box<FloatTexture>,
}
#[derive(Debug, Clone)]
pub struct FloatConstantTexture;
impl FloatTextureTrait for FloatConstantTexture {}
impl FloatTextureTrait for FloatScaledTexture {
fn evaluate(&self, ctx: &TextureEvalContext) -> Float {
let sc = self.scale.evaluate(ctx);
if sc == 0. {
return 0.;
}
self.tex.evaluate(ctx)
}
}
#[derive(Debug, Clone)]
pub struct FloatBilerpTexture;
@ -105,8 +413,8 @@ pub struct FloatPtexTexture;
impl FloatTextureTrait for FloatPtexTexture {}
#[derive(Debug, Clone)]
pub struct GPUFloatPtex;
impl FloatTextureTrait for GPUFloatPtex {}
pub struct GPUFloatPtexTexture;
impl FloatTextureTrait for GPUFloatPtexTexture {}
#[derive(Debug, Clone)]
pub struct WindyTexture;
@ -116,60 +424,15 @@ impl FloatTextureTrait for WindyTexture {}
pub struct WrinkledTexture;
impl FloatTextureTrait for WrinkledTexture {}
#[derive(Debug, Clone)]
pub enum FloatTexture {
FloatImage(FloatImageTexture),
GPUFloatImage(GPUFloatImageTexture),
FloatMix(FloatMixTexture),
FloatDirectionMix(FloatDirectionMixTexture),
FloatScaled(FloatScaledTexture),
FloatConstant(FloatConstantTexture),
FloatBilerp(FloatBilerpTexture),
FloatCheckerboard(FloatCheckerboardTexture),
FloatDots(FloatDotsTexture),
FBm(FBmTexture),
FloatPtex(FloatPtexTexture),
GPUFloatPtex(GPUFloatPtex),
Windy(WindyTexture),
Wrinkled(WrinkledTexture),
}
impl FloatTextureTrait for FloatTexture {
fn evaluate(&self, ctx: &TextureEvalContext) -> Float {
match self {
FloatTexture::FloatImage(texture) => texture.evaluate(ctx),
FloatTexture::GPUFloatImage(texture) => texture.evaluate(ctx),
FloatTexture::FloatMix(texture) => texture.evaluate(ctx),
FloatTexture::FloatDirectionMix(texture) => texture.evaluate(ctx),
FloatTexture::FloatScaled(texture) => texture.evaluate(ctx),
FloatTexture::FloatConstant(texture) => texture.evaluate(ctx),
FloatTexture::FloatBilerp(texture) => texture.evaluate(ctx),
FloatTexture::FloatCheckerboard(texture) => texture.evaluate(ctx),
FloatTexture::FloatDots(texture) => texture.evaluate(ctx),
FloatTexture::FBm(texture) => texture.evaluate(ctx),
FloatTexture::FloatPtex(texture) => texture.evaluate(ctx),
FloatTexture::GPUFloatPtex(texture) => texture.evaluate(ctx),
FloatTexture::Windy(texture) => texture.evaluate(ctx),
FloatTexture::Wrinkled(texture) => texture.evaluate(ctx),
}
#[enum_dispatch]
pub trait SpectrumTextureTrait: Send + Sync + std::fmt::Debug {
fn evaluate(&self, _ctx: &TextureEvalContext, _lambda: &SampledWavelengths) -> SampledSpectrum {
todo!()
}
}
pub struct RGBConstantTexture;
pub struct RGBReflectanceConstantTexture;
pub struct SpectrumConstantTexture;
pub struct SpectrumBilerpTexture;
pub struct SpectrumCheckerboardTexture;
pub struct SpectrumImageTexture;
pub struct GPUSpectrumImageTexture;
pub struct MarbleTexture;
pub struct SpectrumMixTexture;
pub struct SpectrumDirectionMixTexture;
pub struct SpectrumDotsTexture;
pub struct SpectrumPtexTexture;
pub struct GPUSpectrumPtexTexture;
pub struct SpectrumScaledTexture;
#[derive(Clone, Debug)]
#[enum_dispatch(SpectrumTextureTrait)]
pub enum SpectrumTexture {
RGBConstant(RGBConstantTexture),
RGBReflectanceConstant(RGBReflectanceConstantTexture),
@ -187,23 +450,149 @@ pub enum SpectrumTexture {
SpectrumScaled(SpectrumScaledTexture),
}
impl SpectrumTexture {
// pub fn evaluate(&self, ctx: TextureEvalContext) -> f32 {
// match self {
// SpectrumTexture::FloatImage(texture) => texture.evaluate(ctx),
// SpectrumTexture::GPUFloatImage(texture) => texture.evaluate(ctx),
// SpectrumTexture::FloatMix(texture) => texture.evaluate(ctx),
// SpectrumTexture::FloatDirectionMix(texture) => texture.evaluate(ctx),
// SpectrumTexture::FloatScaled(texture) => texture.evaluate(ctx),
// SpectrumTexture::FloatConstant(texture) => texture.evaluate(ctx),
// SpectrumTexture::FloatBilerp(texture) => texture.evaluate(ctx),
// SpectrumTexture::FloatCheckerboard(texture) => texture.evaluate(ctx),
// SpectrumTexture::FloatDots(texture) => texture.evaluate(ctx),
// SpectrumTexture::FBm(texture) => texture.evaluate(ctx),
// SpectrumTexture::FloatPtex(texture) => texture.evaluate(ctx),
// SpectrumTexture::GPUFloatPtex(texture) => texture.evaluate(ctx),
// SpectrumTexture::Windy(texture) => texture.evaluate(ctx),
// SpectrumTexture::Wrinkled(texture) => texture.evaluate(ctx),
// }
// }
#[derive(Clone, Debug)]
pub struct RGBConstantTexture;
impl SpectrumTextureTrait for RGBConstantTexture {
fn evaluate(&self, _ctx: &TextureEvalContext, _lambda: &SampledWavelengths) -> SampledSpectrum {
todo!()
}
}
#[derive(Clone, Debug)]
pub struct RGBReflectanceConstantTexture;
impl SpectrumTextureTrait for RGBReflectanceConstantTexture {
fn evaluate(&self, _ctx: &TextureEvalContext, _lambda: &SampledWavelengths) -> SampledSpectrum {
todo!()
}
}
#[derive(Clone, Debug)]
pub struct SpectrumConstantTexture {
value: Spectrum,
}
impl SpectrumTextureTrait for SpectrumConstantTexture {
fn evaluate(&self, _ctx: &TextureEvalContext, lambda: &SampledWavelengths) -> SampledSpectrum {
self.value.sample(lambda)
}
}
#[derive(Clone, Debug)]
pub struct SpectrumBilerpTexture;
impl SpectrumTextureTrait for SpectrumBilerpTexture {
fn evaluate(&self, _ctx: &TextureEvalContext, _lambda: &SampledWavelengths) -> SampledSpectrum {
todo!()
}
}
#[derive(Clone, Debug)]
pub struct SpectrumCheckerboardTexture;
impl SpectrumTextureTrait for SpectrumCheckerboardTexture {
fn evaluate(&self, _ctx: &TextureEvalContext, _lambda: &SampledWavelengths) -> SampledSpectrum {
todo!()
}
}
#[derive(Clone, Debug)]
pub struct SpectrumImageTexture;
impl SpectrumTextureTrait for SpectrumImageTexture {
fn evaluate(&self, _ctx: &TextureEvalContext, _lambda: &SampledWavelengths) -> SampledSpectrum {
todo!()
}
}
#[derive(Clone, Debug)]
pub struct GPUSpectrumImageTexture;
impl SpectrumTextureTrait for GPUSpectrumImageTexture {
fn evaluate(&self, _ctx: &TextureEvalContext, _lambda: &SampledWavelengths) -> SampledSpectrum {
todo!()
}
}
#[derive(Clone, Debug)]
pub struct MarbleTexture;
impl SpectrumTextureTrait for MarbleTexture {
fn evaluate(&self, _ctx: &TextureEvalContext, _lambda: &SampledWavelengths) -> SampledSpectrum {
todo!()
}
}
#[derive(Clone, Debug)]
pub struct SpectrumMixTexture;
impl SpectrumTextureTrait for SpectrumMixTexture {
fn evaluate(&self, _ctx: &TextureEvalContext, _lambda: &SampledWavelengths) -> SampledSpectrum {
todo!()
}
}
#[derive(Clone, Debug)]
pub struct SpectrumDirectionMixTexture {
tex1: Box<SpectrumTexture>,
tex2: Box<SpectrumTexture>,
dir: Vector3f,
}
impl SpectrumTextureTrait for SpectrumDirectionMixTexture {
fn evaluate(&self, ctx: &TextureEvalContext, lambda: &SampledWavelengths) -> SampledSpectrum {
let amt = ctx.n.abs_dot(self.dir.into());
let mut t1 = SampledSpectrum::default();
let mut t2 = SampledSpectrum::default();
if amt != 0. {
t1 = self.tex1.evaluate(ctx, lambda);
}
if amt != 1. {
t2 = self.tex2.evaluate(ctx, lambda);
}
amt * t1 + (1. - amt) * t2
}
}
#[derive(Clone, Debug)]
pub struct SpectrumDotsTexture;
impl SpectrumTextureTrait for SpectrumDotsTexture {
fn evaluate(&self, _ctx: &TextureEvalContext, _lambda: &SampledWavelengths) -> SampledSpectrum {
todo!()
}
}
#[derive(Clone, Debug)]
pub struct SpectrumPtexTexture;
impl SpectrumTextureTrait for SpectrumPtexTexture {
fn evaluate(&self, _ctx: &TextureEvalContext, _lambda: &SampledWavelengths) -> SampledSpectrum {
todo!()
}
}
#[derive(Clone, Debug)]
pub struct GPUSpectrumPtexTexture;
impl SpectrumTextureTrait for GPUSpectrumPtexTexture {
fn evaluate(&self, _ctx: &TextureEvalContext, _lambda: &SampledWavelengths) -> SampledSpectrum {
todo!()
}
}
#[derive(Clone, Debug)]
pub struct SpectrumScaledTexture {
tex: Box<SpectrumTexture>,
scale: Box<FloatTexture>,
}
impl SpectrumTextureTrait for SpectrumScaledTexture {
fn evaluate(&self, ctx: &TextureEvalContext, lambda: &SampledWavelengths) -> SampledSpectrum {
let sc = self.scale.evaluate(ctx);
if sc == 0. {
return SampledSpectrum::new(0.);
}
self.tex.evaluate(ctx, lambda) * sc
}
}
#[derive(Debug, Hash, PartialEq, Eq, Clone)]
struct TexInfo {
filename: String,
filter_options: MIPMapFilterOptions,
wrap_mode: WrapMode,
encoding: ColorEncoding,
}
static TEXTURE_CACHE: OnceLock<Mutex<HashMap<TexInfo, Arc<MIPMap>>>> = OnceLock::new();
pub struct ImageTextureBase {}

8
src/geometry/bounds.rs
View file

@ -137,15 +137,13 @@ where
}
pub fn corner(&self, corner_index: usize) -> Point<T, N> {
let mut p_arr = [self.p_min[0]; N];
for i in 0..N {
p_arr[i] = if ((corner_index >> i) & 1) == 1 {
Point(std::array::from_fn(|i| {
if (corner_index >> i) & 1 == 1 {
self.p_max[i]
} else {
self.p_min[i]
}
}
Point(p_arr)
}))
}
pub fn overlaps(&self, rhs: &Self) -> bool {

16
src/geometry/mod.rs
View file

@ -58,23 +58,21 @@ pub fn tan2_theta(w: Vector3f) -> Float {
#[inline]
pub fn cos_phi(w: Vector3f) -> Float {
let sin_theta = sin_theta(w);
let result = if sin_theta == 0. {
if sin_theta == 0. {
1.
} else {
clamp_t(w.x() / sin_theta, -1., 1.)
};
result
}
}
#[inline]
pub fn sin_phi(w: Vector3f) -> Float {
let sin_theta = sin_theta(w);
let result = if sin_theta == 0. {
if sin_theta == 0. {
0.
} else {
clamp_t(w.y() / sin_theta, -1., 1.)
};
result
}
}
pub fn same_hemisphere(w: Vector3f, wp: Vector3f) -> bool {
@ -85,7 +83,7 @@ pub fn spherical_direction(sin_theta: Float, cos_theta: Float, phi: Float) -> Ve
Vector3f::new(sin_theta * phi.cos(), sin_theta * phi.sin(), cos_theta)
}
pub fn spherical_triangle_area<T: NumFloat>(a: Vector3f, b: Vector3f, c: Vector3f) -> Float {
pub fn spherical_triangle_area(a: Vector3f, b: Vector3f, c: Vector3f) -> Float {
(2.0 * (a.dot(b.cross(c))).atan2(1.0 + a.dot(b) + a.dot(c) + b.dot(c))).abs()
}
@ -114,11 +112,11 @@ pub fn spherical_quad_area(a: Vector3f, b: Vector3f, c: Vector3f, d: Vector3f) -
(alpha + beta + gamma + delta - 2. * PI).abs()
}
pub fn spherical_theta<T: NumFloat>(v: Vector3f) -> Float {
pub fn spherical_theta(v: Vector3f) -> Float {
clamp_t(v.z(), -1.0, 1.0).acos()
}
pub fn spherical_phi<T: NumFloat>(v: Vector3f) -> Float {
pub fn spherical_phi(v: Vector3f) -> Float {
let p = v.y().atan2(v.x());
if p < 0.0 { p + 2.0 * PI } else { p }
}

22
src/geometry/primitives.rs
View file

@ -1,4 +1,4 @@
use super::traits::{Lerp, Sqrt, Tuple, VectorLike};
use super::traits::{Sqrt, Tuple, VectorLike};
use super::{Float, NumFloat, PI};
use crate::utils::interval::Interval;
use crate::utils::math::{difference_of_products, quadratic, safe_asin};
@ -39,18 +39,6 @@ macro_rules! impl_tuple_core {
}
}
impl<T, Factor, const N: usize> Lerp<Factor> for $Struct<T, N>
where
Factor: Copy + Num,
T: Copy + Mul<Factor, Output = T> + Add<Output = T>,
{
#[inline]
fn lerp(t: Factor, a: Self, b: Self) -> Self {
let result = std::array::from_fn(|i| a[i] * (Factor::one() - t) + b[i] * t);
Self::from_array(result)
}
}
impl<T: Default + Copy, const N: usize> Default for $Struct<T, N> {
fn default() -> Self {
Self([T::default(); N])
@ -389,12 +377,12 @@ impl Point2f {
if let Some((v0, v1)) = quadratic(k2, k1, k0) {
let u = (h.x() - f.x() * v0) / (e.x() + g.x() * v0);
if u < 0. || u > 1. || v0 < 0. || v0 > 1. {
if !(0.0..=1.).contains(&u) || !(0.0..=1.0).contains(&v0) {
return Point2f::new((h.x() - f.x() * v1) / (e.x() + g.x() * v1), v1);
}
return Point2f::new(u, v0);
Point2f::new(u, v0)
} else {
return Point2f::zero();
Point2f::zero()
}
}
}
@ -699,7 +687,7 @@ where
T: Num + PartialOrd + Copy + Neg<Output = T> + Sqrt,
{
pub fn face_forward(self, v: Vector3<T>) -> Self {
if Vector3::<T>::from(self).dot(v.into()) < T::zero() {
if Vector3::<T>::from(self).dot(v) < T::zero() {
-self
} else {
self

2
src/geometry/ray.rs
View file

@ -42,7 +42,7 @@ impl Ray {
}
pub fn offset_origin(p: &Point3fi, n: &Normal3f, w: &Vector3f) -> Point3f {
let d: Float = Vector3f::from(n.abs()).dot(p.error().into());
let d: Float = Vector3f::from(n.abs()).dot(p.error());
let normal: Vector3f = Vector3f::from(*n);
let mut offset = p.midpoint();

14
src/geometry/traits.rs
View file

@ -166,16 +166,18 @@ impl Sqrt for Interval {
}
}
pub trait Lerp<Factor: Copy + Num>: Sized + Copy {
pub trait Lerp<Factor = Float>: Sized + Copy {
fn lerp(t: Factor, a: Self, b: Self) -> Self;
}
impl<T> Lerp<T> for T
impl<T, F, Diff> Lerp<F> for T
where
T: Num + Copy + Mul<T, Output = T> + Add<T, Output = T>,
T: Copy + Sub<Output = Diff> + Add<Diff, Output = T>,
Diff: Mul<F, Output = Diff>,
F: Copy,
{
#[inline]
fn lerp(t: T, a: Self, b: Self) -> Self {
a * (T::one() - t) + b * t
#[inline(always)]
fn lerp(t: F, a: Self, b: Self) -> Self {
a + (b - a) * t
}
}

345
src/image/io.rs Normal file
View file

@ -0,0 +1,345 @@
use crate::core::pbrt::Float;
use crate::image::{Image, ImageMetadata, PixelData, PixelFormat, Point2i, WrapMode};
use crate::utils::color::{ColorEncoding, LINEAR, SRGB};
use crate::utils::error::ImageError;
use anyhow::{Context, Result, bail};
use exr::prelude::{read_first_rgba_layer_from_file, write_rgba_file};
use image_rs::ImageReader;
use image_rs::{DynamicImage, ImageBuffer, Rgb, Rgba};
use std::fs::File;
use std::io::{BufRead, BufReader, BufWriter, Read, Write};
use std::path::Path;
impl Image {
pub fn read(path: &Path, encoding: Option<ColorEncoding>) -> Result<Self> {
let ext = path
.extension()
.and_then(|s| s.to_str())
.unwrap_or("")
.to_lowercase();
match ext.as_str() {
"exr" => read_exr(path),
"pfm" => read_pfm(path),
_ => read_generic(path, encoding),
}
}
pub fn write(&self, filename: &str, metadata: &ImageMetadata) -> Result<(), ImageError> {
let path = Path::new(filename);
let ext = path.extension().and_then(|s| s.to_str()).unwrap_or("");
let res = match ext.to_lowercase().as_str() {
"exr" => self.write_exr(path, metadata),
"png" => self.write_png(path),
"pfm" => self.write_pfm(path),
"qoi" => self.write_qoi(path),
_ => Err(anyhow::anyhow!("Unsupported write format: {}", ext)),
};
res.map_err(|e| ImageError::Io(std::io::Error::other(e)))
}
fn write_png(&self, path: &Path) -> Result<()> {
let w = self.resolution.x() as u32;
let h = self.resolution.y() as u32;
// Convert whatever we have to u8 [0..255]
let data = self.to_u8_buffer();
let channels = self.n_channels();
match channels {
1 => {
// Luma
image_rs::save_buffer_with_format(
path,
&data,
w,
h,
image_rs::ColorType::L8,
image_rs::ImageFormat::Png,
)?;
}
3 => {
// RGB
image_rs::save_buffer_with_format(
path,
&data,
w,
h,
image_rs::ColorType::Rgb8,
image_rs::ImageFormat::Png,
)?;
}
4 => {
// RGBA
image_rs::save_buffer_with_format(
path,
&data,
w,
h,
image_rs::ColorType::Rgba8,
image_rs::ImageFormat::Png,
)?;
}
_ => bail!("PNG writer only supports 1, 3, or 4 channels"),
}
Ok(())
}
fn write_qoi(&self, path: &Path) -> Result<()> {
let w = self.resolution.x() as u32;
let h = self.resolution.y() as u32;
let data = self.to_u8_buffer();
let color_type = match self.n_channels() {
3 => image_rs::ColorType::Rgb8,
4 => image_rs::ColorType::Rgba8,
_ => bail!("QOI only supports 3 or 4 channels"),
};
image_rs::save_buffer_with_format(
path,
&data,
w,
h,
color_type,
image_rs::ImageFormat::Qoi,
)?;
Ok(())
}
fn write_exr(&self, path: &Path, _metadata: &ImageMetadata) -> Result<()> {
// EXR requires F32. If we have others, we rely on the float accessors or convert.
let w = self.resolution.x() as usize;
let h = self.resolution.y() as usize;
let c = self.n_channels();
write_rgba_file(path, w, h, |x, y| {
// Helper to get float value regardless of internal storage
let get =
|ch| self.get_channel(Point2i::new(x as i32, y as i32), ch, WrapMode::Clamp.into());
if c == 1 {
let v = get(0);
(v, v, v, 1.0)
} else if c == 3 {
(get(0), get(1), get(2), 1.0)
} else {
(get(0), get(1), get(2), get(3))
}
})
.context("Failed to write EXR")?;
Ok(())
}
fn write_pfm(&self, path: &Path) -> Result<()> {
let file = File::create(path)?;
let mut writer = BufWriter::new(file);
if self.n_channels() != 3 {
bail!("PFM writing currently only supports 3 channels (RGB)");
}
// Header
writeln!(writer, "PF")?;
writeln!(writer, "{} {}", self.resolution.x(), self.resolution.y())?;
// Scale: Negative means Little Endian
let scale = if cfg!(target_endian = "little") {
-1.0
} else {
1.0
};
writeln!(writer, "{}", scale)?;
// PFM stores bottom-to-top. PBRT stores top-to-bottom.
for y in (0..self.resolution.y()).rev() {
for x in 0..self.resolution.x() {
for c in 0..3 {
let val = self.get_channel(Point2i::new(x, y), c, WrapMode::Clamp.into());
writer.write_all(&val.to_le_bytes())?;
}
}
}
Ok(())
}
fn to_u8_buffer(&self) -> Vec<u8> {
match &self.pixels {
PixelData::U8(data) => data.clone(),
PixelData::F16(data) => data
.iter()
.map(|v| (v.to_f32().clamp(0.0, 1.0) * 255.0 + 0.5) as u8)
.collect(),
PixelData::F32(data) => data
.iter()
.map(|v| (v.clamp(0.0, 1.0) * 255.0 + 0.5) as u8)
.collect(),
}
}
}
fn read_generic(path: &Path, encoding: Option<ColorEncoding>) -> Result<Image> {
// 1. Load via 'image' crate
let dyn_img = ImageReader::open(path)
.with_context(|| format!("Failed to open image: {:?}", path))?
.decode()?;
let w = dyn_img.width() as i32;
let h = dyn_img.height() as i32;
let res = Point2i::new(w, h);
// 2. Convert to PBRT Image
// Check if it was loaded as high precision (HDR/EXR via image crate) or standard
match dyn_img {
DynamicImage::ImageRgb32F(buf) => Ok(Image {
format: PixelFormat::F32,
resolution: res,
channel_names: vec!["R".into(), "G".into(), "B".into()],
encoding: LINEAR,
pixels: PixelData::F32(buf.into_raw()),
}),
DynamicImage::ImageRgba32F(buf) => Ok(Image {
format: PixelFormat::F32,
resolution: res,
channel_names: vec!["R".into(), "G".into(), "B".into(), "A".into()],
encoding: LINEAR,
pixels: PixelData::F32(buf.into_raw()),
}),
_ => {
// Default to RGB8 for everything else (PNG, JPG)
// Note: PBRT handles alpha, so we check if the source had alpha
if dyn_img.color().has_alpha() {
let buf = dyn_img.to_rgba8();
Ok(Image {
format: PixelFormat::U8,
resolution: res,
channel_names: vec!["R".into(), "G".into(), "B".into(), "A".into()],
encoding: encoding.unwrap_or(SRGB),
pixels: PixelData::U8(buf.into_raw()),
})
} else {
let buf = dyn_img.to_rgb8();
Ok(Image {
format: PixelFormat::U8,
resolution: res,
channel_names: vec!["R".into(), "G".into(), "B".into()],
encoding: encoding.unwrap_or(SRGB),
pixels: PixelData::U8(buf.into_raw()),
})
}
}
}
}
fn read_exr(path: &Path) -> Result<Image> {
let image = read_first_rgba_layer_from_file(
path,
|resolution, _| {
let size = resolution.width() * resolution.height() * 4;
vec![0.0 as Float; size]
},
|buffer, position, pixel| {
let width = position.width();
let idx = (position.y() * width + position.x()) * 4;
// Map exr pixel struct to our buffer
buffer[idx] = pixel.0;
buffer[idx + 1] = pixel.1;
buffer[idx + 2] = pixel.2;
buffer[idx + 3] = pixel.3;
},
)
.with_context(|| format!("Failed to read EXR: {:?}", path))?;
let w = image.layer_data.size.width() as i32;
let h = image.layer_data.size.height() as i32;
Ok(Image {
format: PixelFormat::F32,
resolution: Point2i::new(w, h),
channel_names: vec!["R".into(), "G".into(), "B".into(), "A".into()],
encoding: LINEAR,
pixels: PixelData::F32(image.layer_data.channel_data.pixels),
})
}
fn read_pfm(path: &Path) -> Result<Image> {
let file = File::open(path)?;
let mut reader = BufReader::new(file);
// PFM Headers are: "PF\nwidth height\nscale\n" (or Pf for grayscale)
let mut header_word = String::new();
reader.read_line(&mut header_word)?;
let header_word = header_word.trim();
let channels = match header_word {
"PF" => 3,
"Pf" => 1,
_ => bail!("Invalid PFM header: {}", header_word),
};
let mut dims_line = String::new();
reader.read_line(&mut dims_line)?;
let dims: Vec<i32> = dims_line
.split_whitespace()
.map(|s| s.parse().unwrap_or(0))
.collect();
if dims.len() < 2 {
bail!("Invalid PFM dimensions");
}
let w = dims[0];
let h = dims[1];
let mut scale_line = String::new();
reader.read_line(&mut scale_line)?;
let scale: f32 = scale_line.trim().parse().context("Invalid PFM scale")?;
let file_is_little_endian = scale < 0.0;
let abs_scale = scale.abs();
let mut buffer = Vec::new();
reader.read_to_end(&mut buffer)?;
let expected_bytes = (w * h * channels) as usize * 4;
if buffer.len() < expected_bytes {
bail!("PFM file too short");
}
let mut pixels = vec![0.0 as Float; (w * h * channels) as usize];
// PFM is Bottom-to-Top. We must flip Y while reading.
for y in 0..h {
let src_y = h - 1 - y; // Flip logic
for x in 0..w {
for c in 0..channels {
let src_idx = ((src_y * w + x) * channels + c) as usize * 4;
let dst_idx = ((y * w + x) * channels + c) as usize;
let bytes: [u8; 4] = buffer[src_idx..src_idx + 4].try_into()?;
let val = if file_is_little_endian {
f32::from_le_bytes(bytes)
} else {
f32::from_be_bytes(bytes)
};
pixels[dst_idx] = val * abs_scale;
}
}
}
let names = if channels == 1 {
vec!["Y".into()]
} else {
vec!["R".into(), "G".into(), "B".into()]
};
Ok(Image {
format: PixelFormat::F32,
resolution: Point2i::new(w, h),
channel_names: names,
encoding: LINEAR,
pixels: PixelData::F32(pixels),
})
}

60
src/image/metadata.rs Normal file
View file

@ -0,0 +1,60 @@
use crate::core::pbrt::Float;
use crate::geometry::{Bounds2i, Point2i};
use crate::utils::colorspace::RGBColorSpace;
use crate::utils::math::SquareMatrix;
use smallvec::SmallVec;
use std::collections::HashMap;
pub type ImageChannelValues = SmallVec<[Float; 4]>;
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
pub enum WrapMode {
Black,
Clamp,
Repeat,
OctahedralSphere,
}
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
pub struct WrapMode2D {
pub uv: [WrapMode; 2],
}
impl From<WrapMode> for WrapMode2D {
fn from(w: WrapMode) -> Self {
Self { uv: [w, w] }
}
}
#[derive(Debug, Clone, Default)]
pub struct ImageChannelDesc {
pub offset: Vec<usize>,
}
impl ImageChannelDesc {
pub fn new(offset: &[usize]) -> Self {
Self {
offset: offset.into(),
}
}
pub fn len(&self) -> usize {
self.offset.len()
}
pub fn is_empty(&self) -> bool {
self.offset.is_empty()
}
}
#[derive(Debug, Default)]
pub struct ImageMetadata {
pub render_time_seconds: Option<Float>,
pub camera_from_world: Option<SquareMatrix<Float, 4>>,
pub ndc_from_world: Option<SquareMatrix<Float, 4>>,
pub pixel_bounds: Option<Bounds2i>,
pub full_resolution: Option<Point2i>,
pub samples_per_pixel: Option<i32>,
pub mse: Option<Float>,
pub color_space: Option<&'static RGBColorSpace>,
pub strings: HashMap<String, String>,
pub string_vectors: HashMap<String, Vec<String>>,
}

197
src/image/mod.rs Normal file
View file

@ -0,0 +1,197 @@
pub mod io;
pub mod metadata;
pub mod ops;
pub mod pixel;
use crate::core::pbrt::{Float, lerp};
use crate::geometry::{Point2f, Point2i};
use crate::utils::color::{ColorEncoding, ColorEncodingTrait};
use half::f16;
use pixel::PixelStorage;
pub use metadata::{ImageChannelDesc, ImageChannelValues, ImageMetadata, WrapMode, WrapMode2D};
#[derive(Debug, Copy, Clone, PartialEq, Eq)]
pub enum PixelFormat {
U8,
F16,
F32,
}
impl PixelFormat {
pub fn is_8bit(&self) -> bool {
matches!(self, PixelFormat::U8)
}
pub fn is_16bit(&self) -> bool {
matches!(self, PixelFormat::F16)
}
pub fn is_32bit(&self) -> bool {
matches!(self, PixelFormat::F32)
}
pub fn texel_bytes(&self) -> usize {
match self {
PixelFormat::U8 => 1,
PixelFormat::F16 => 2,
PixelFormat::F32 => 4,
}
}
}
impl std::fmt::Display for PixelFormat {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
match self {
PixelFormat::U8 => write!(f, "U256"),
PixelFormat::F16 => write!(f, "Half"),
PixelFormat::F32 => write!(f, "Float"),
}
}
}
#[derive(Debug, Clone)]
pub enum PixelData {
U8(Vec<u8>),
F16(Vec<f16>),
F32(Vec<f32>),
}
#[derive(Debug, Clone)]
pub struct Image {
pub format: PixelFormat,
pub resolution: Point2i,
pub channel_names: Vec<String>,
pub encoding: ColorEncoding,
pub pixels: PixelData,
}
#[derive(Debug)]
pub struct ImageAndMetadata {
pub image: Image,
pub metadata: ImageMetadata,
}
impl Image {
pub fn new(
format: PixelFormat,
resolution: Point2i,
channel_names: Vec<String>,
encoding: ColorEncoding,
) -> Self {
let size = (resolution.x() * resolution.y()) as usize * channel_names.len();
let pixels = match format {
PixelFormat::U8 => PixelData::U8(vec![0; size]),
PixelFormat::F16 => PixelData::F16(vec![f16::ZERO; size]),
PixelFormat::F32 => PixelData::F32(vec![0.0; size]),
};
Self {
resolution,
channel_names,
format,
pixels,
encoding,
}
}
pub fn format(&self) -> PixelFormat {
self.format
}
pub fn resolution(&self) -> Point2i {
self.resolution
}
pub fn n_channels(&self) -> usize {
self.channel_names.len()
}
pub fn channel_names(&self) -> &[String] {
&self.channel_names
}
pub fn encoding(&self) -> ColorEncoding {
self.encoding
}
pub fn pixel_offset(&self, p: Point2i) -> usize {
(p.y() as usize * self.resolution.x() as usize + p.x() as usize) * self.n_channels()
}
pub fn get_channel(&self, p: Point2i, c: usize, wrap: WrapMode2D) -> Float {
let mut pp = p;
if !self.remap_pixel_coords(&mut pp, wrap) {
return 0.0;
}
let idx = self.pixel_offset(pp) + c;
match &self.pixels {
PixelData::U8(d) => u8::to_linear(d[idx], self.encoding),
PixelData::F16(d) => f16::to_linear(d[idx], self.encoding),
PixelData::F32(d) => f32::to_linear(d[idx], self.encoding),
}
}
pub fn all_channels_desc(&self) -> ImageChannelDesc {
ImageChannelDesc {
offset: (0..self.n_channels()).collect(),
}
}
pub fn set_channel(&mut self, p: Point2i, c: usize, value: Float) {
let val_no_nan = if value.is_nan() { 0.0 } else { value };
let offset = self.pixel_offset(p) + c;
match &mut self.pixels {
PixelData::U8(data) => {
let linear = [val_no_nan];
self.encoding
.from_linear_slice(&linear, &mut data[offset..offset + 1]);
}
PixelData::F16(data) => data[offset] = f16::from_f32(val_no_nan),
PixelData::F32(data) => data[offset] = val_no_nan,
}
}
pub fn set_channels(
&mut self,
p: Point2i,
desc: &ImageChannelDesc,
values: &ImageChannelValues,
) {
assert_eq!(desc.len(), values.len());
for i in 0..desc.len() {
self.set_channel(p, desc.offset[i], values[i]);
}
}
pub fn set_channels_all(&mut self, p: Point2i, values: &ImageChannelValues) {
self.set_channels(p, &self.all_channels_desc(), values)
}
fn remap_pixel_coords(&self, p: &mut Point2i, wrap_mode: WrapMode2D) -> bool {
for i in 0..2 {
if p[i] >= 0 && p[i] < self.resolution[i] {
continue;
}
match wrap_mode.uv[i] {
WrapMode::Black => return false,
WrapMode::Clamp => p[i] = p[i].clamp(0, self.resolution[i] - 1),
WrapMode::Repeat => p[i] = p[i].rem_euclid(self.resolution[i]),
WrapMode::OctahedralSphere => {
p[i] = p[i].clamp(0, self.resolution[i] - 1);
}
}
}
true
}
pub fn bilerp_channel(&self, p: Point2f, c: usize, wrap_mode: WrapMode2D) -> Float {
let x = p.x() * self.resolution.x() as Float - 0.5;
let y = p.y() * self.resolution.y() as Float - 0.5;
let xi = x.floor() as i32;
let yi = y.floor() as i32;
let dx = x - xi as Float;
let dy = y - yi as Float;
let v00 = self.get_channel(Point2i::new(xi, yi), c, wrap_mode);
let v10 = self.get_channel(Point2i::new(xi + 1, yi), c, wrap_mode);
let v01 = self.get_channel(Point2i::new(xi, yi + 1), c, wrap_mode);
let v11 = self.get_channel(Point2i::new(xi + 1, yi + 1), c, wrap_mode);
lerp(dy, lerp(dx, v00, v10), lerp(dx, v01, v11))
}
}

418
src/image/ops.rs Normal file
View file

@ -0,0 +1,418 @@
// use rayon::prelude::*;
use crate::core::pbrt::Float;
use crate::geometry::{Bounds2i, Point2i};
use crate::image::pixel::PixelStorage;
use crate::image::{Image, PixelData, PixelFormat, WrapMode, WrapMode2D};
use crate::utils::math::windowed_sinc;
use rayon::prelude::*;
use std::sync::{Arc, Mutex};
#[derive(Debug, Clone, Copy)]
pub struct ResampleWeight {
pub first_pixel: i32,
pub weight: [Float; 4],
}
impl Image {
pub fn flip_y(&mut self) {
let res = self.resolution;
let nc = self.n_channels();
match &mut self.pixels {
PixelData::U8(d) => flip_y_kernel(d, res, nc),
PixelData::F16(d) => flip_y_kernel(d, res, nc),
PixelData::F32(d) => flip_y_kernel(d, res, nc),
}
}
pub fn crop(&self, bounds: Bounds2i) -> Image {
let new_res = Point2i::new(
bounds.p_max.x() - bounds.p_min.x(),
bounds.p_max.y() - bounds.p_min.y(),
);
let mut new_image = Image::new(
self.format,
new_res,
self.channel_names.clone(),
self.encoding,
);
match (&self.pixels, &mut new_image.pixels) {
(PixelData::U8(src), PixelData::U8(dst)) => {
crop_kernel(src, dst, self.resolution, bounds, self.n_channels())
}
(PixelData::F16(src), PixelData::F16(dst)) => {
crop_kernel(src, dst, self.resolution, bounds, self.n_channels())
}
(PixelData::F32(src), PixelData::F32(dst)) => {
crop_kernel(src, dst, self.resolution, bounds, self.n_channels())
}
_ => panic!("Format mismatch in crop"),
}
new_image
}
pub fn copy_rect_out(&self, extent: Bounds2i, buf: &mut [Float], wrap: WrapMode2D) {
match &self.pixels {
PixelData::U8(d) => copy_rect_out_kernel(d, self, extent, buf, wrap),
PixelData::F16(d) => copy_rect_out_kernel(d, self, extent, buf, wrap),
PixelData::F32(d) => copy_rect_out_kernel(d, self, extent, buf, wrap),
}
}
pub fn copy_rect_in(&mut self, extent: Bounds2i, buf: &[Float]) {
let resolution = self.resolution;
let n_channels = self.n_channels();
let encoding = self.encoding;
match &mut self.pixels {
PixelData::U8(d) => {
copy_rect_in_kernel(d, resolution, n_channels, encoding, extent, buf)
}
PixelData::F16(d) => {
copy_rect_in_kernel(d, resolution, n_channels, encoding, extent, buf)
}
PixelData::F32(d) => {
copy_rect_in_kernel(d, resolution, n_channels, encoding, extent, buf)
}
}
}
pub fn float_resize_up(&self, new_res: Point2i, wrap_mode: WrapMode2D) -> Image {
assert!(new_res.x() >= self.resolution.x() && new_res.y() >= self.resolution.y());
assert!(
matches!(self.format, PixelFormat::F32),
"ResizeUp requires Float format"
);
// Create destination image wrapped in Mutex for tile-based write access
let resampled_image = Arc::new(Mutex::new(Image::new(
PixelFormat::F32, // Force float output
new_res,
self.channel_names.clone(),
self.encoding,
)));
// Precompute weights
let x_weights = resample_weights(self.resolution.x() as usize, new_res.x() as usize);
let y_weights = resample_weights(self.resolution.y() as usize, new_res.y() as usize);
let n_channels = self.n_channels();
// Generate Tiles
let tile_size = 16;
let tiles = generate_tiles(new_res, tile_size);
// Parallel Execution
tiles.par_iter().for_each(|out_extent| {
let x_start = x_weights[out_extent.p_min.x() as usize].first_pixel;
let x_end = x_weights[(out_extent.p_max.x() - 1) as usize].first_pixel + 4;
let y_start = y_weights[out_extent.p_min.y() as usize].first_pixel;
let y_end = y_weights[(out_extent.p_max.y() - 1) as usize].first_pixel + 4;
let in_extent =
Bounds2i::from_points(Point2i::new(x_start, y_start), Point2i::new(x_end, y_end));
let mut in_buf = vec![0.0; in_extent.area() as usize * n_channels];
self.copy_rect_out(in_extent, &mut in_buf, wrap_mode);
let out_buf = compute_resize_tile(
&in_buf,
in_extent,
*out_extent,
n_channels,
&x_weights,
&y_weights,
);
let mut guard = resampled_image.lock().unwrap();
guard.copy_rect_in(*out_extent, &out_buf);
});
Arc::try_unwrap(resampled_image)
.unwrap()
.into_inner()
.unwrap()
}
pub fn generate_pyramid(base: Image, _wrap: WrapMode) -> Vec<Image> {
let mut levels = vec![base];
let internal_wrap = WrapMode2D {
uv: [WrapMode::Clamp; 2],
};
loop {
let prev = levels.last().unwrap();
let old = prev.resolution;
if old.x() == 1 && old.y() == 1 {
break;
}
let new_res = Point2i::new((old.x() / 2).max(1), (old.y() / 2).max(1));
let mut next = Image::new(
prev.format,
new_res,
prev.channel_names.clone(),
prev.encoding,
);
match &mut next.pixels {
PixelData::U8(d) => downsample_kernel(d, new_res, prev, internal_wrap),
PixelData::F16(d) => downsample_kernel(d, new_res, prev, internal_wrap),
PixelData::F32(d) => downsample_kernel(d, new_res, prev, internal_wrap),
}
levels.push(next);
}
levels
}
}
fn flip_y_kernel<T: PixelStorage>(pixels: &mut [T], res: Point2i, channels: usize) {
let w = res.x() as usize;
let h = res.y() as usize;
let stride = w * channels;
for y in 0..(h / 2) {
let bot = h - 1 - y;
for i in 0..stride {
pixels.swap(y * stride + i, bot * stride + i);
}
}
}
fn crop_kernel<T: PixelStorage>(
src: &[T],
dst: &mut [T],
src_res: Point2i,
bounds: Bounds2i,
channels: usize,
) {
let dst_w = (bounds.p_max.x() - bounds.p_min.x()) as usize;
// let dst_h = (bounds.p_max.y() - bounds.p_min.y()) as usize;
dst.par_chunks_mut(dst_w * channels)
.enumerate()
.for_each(|(dy, dst_row)| {
let sy = bounds.p_min.y() as usize + dy;
let sx_start = bounds.p_min.x() as usize;
let src_offset = (sy * src_res.x() as usize + sx_start) * channels;
let count = dst_w * channels;
dst_row.copy_from_slice(&src[src_offset..src_offset + count]);
});
}
fn copy_rect_out_kernel<T: PixelStorage>(
src: &[T],
image: &Image,
extent: Bounds2i,
buf: &mut [Float],
wrap: WrapMode2D,
) {
let w = (extent.p_max.x() - extent.p_min.x()) as usize;
let channels = image.n_channels();
let enc = image.encoding;
let res = image.resolution;
buf.par_chunks_mut(w * channels)
.enumerate()
.for_each(|(y_rel, row_buf)| {
let y = extent.p_min.y() + y_rel as i32;
for x_rel in 0..w {
let x = extent.p_min.x() + x_rel as i32;
// This allows us to use 'src' directly (Fast Path).
if x >= 0 && x < res.x() && y >= 0 && y < res.y() {
let offset = (y as usize * res.x() as usize + x as usize) * channels;
for c in 0..channels {
row_buf[x_rel * channels + c] = T::to_linear(src[offset + c], enc);
}
} else {
// Slow path: Out of bounds, requires Wrap Mode logic.
// We fall back to get_channel which handles the wrapping math.
let p = Point2i::new(x, y);
for c in 0..channels {
row_buf[x_rel * channels + c] = image.get_channel(p, c, wrap);
}
}
}
});
}
fn copy_rect_in_kernel<T: PixelStorage>(
dst: &mut [T],
res: Point2i,
channels: usize,
enc: crate::utils::color::ColorEncoding,
extent: Bounds2i,
buf: &[Float],
) {
let w = (extent.p_max.x() - extent.p_min.x()) as usize;
let res_x = res.x() as usize;
let rows = buf.chunks(w * channels);
for (y_rel, row) in rows.enumerate() {
let y = extent.p_min.y() + y_rel as i32;
if y < 0 || y >= res.y() {
continue;
}
let dst_row_start = (y as usize * res_x) * channels;
for (x_rel, &val) in row.iter().enumerate() {
let c = x_rel % channels;
let x_pixel = x_rel / channels;
let x = extent.p_min.x() + x_pixel as i32;
if x >= 0 && x < res.x() {
let idx = dst_row_start + (x as usize * channels) + c;
dst[idx] = T::from_linear(val, enc);
}
}
}
}
fn downsample_kernel<T: PixelStorage>(
dst: &mut [T],
dst_res: Point2i,
prev: &Image,
wrap: WrapMode2D,
) {
let w = dst_res.x() as usize;
let channels = prev.n_channels();
let enc = prev.encoding;
let old_res = prev.resolution;
dst.par_chunks_mut(w * channels)
.enumerate()
.for_each(|(y, row)| {
let src_y = y * 2;
for x in 0..w {
let src_x = x * 2;
for c in 0..channels {
let mut sum = 0.0;
let mut count = 0.0;
for dy in 0..2 {
for dx in 0..2 {
let sx = src_x as i32 + dx;
let sy = src_y as i32 + dy;
if sx < old_res.x() && sy < old_res.y() {
sum += prev.get_channel(Point2i::new(sx, sy), c, wrap);
count += 1.0;
}
}
}
let avg = if count > 0.0 { sum / count } else { 0.0 };
row[x * channels + c] = T::from_linear(avg, enc);
}
}
});
}
fn resample_weights(old_res: usize, new_res: usize) -> Vec<ResampleWeight> {
let filter_radius = 2.0;
let tau = 2.0;
(0..new_res)
.map(|i| {
let center = (i as Float + 0.5) * old_res as Float / new_res as Float;
let first_pixel = ((center - filter_radius) + 0.5).floor() as i32;
let mut weights = [0.0; 4];
let mut sum = 0.0;
for j in 0..4 {
let pos = (first_pixel + j) as Float + 0.5;
weights[j as usize] = windowed_sinc(pos - center, filter_radius, tau);
sum += weights[j as usize];
}
let inv_sum = 1.0 / sum;
for w in &mut weights {
*w *= inv_sum;
}
ResampleWeight {
first_pixel,
weight: weights,
}
})
.collect()
}
fn generate_tiles(res: Point2i, tile_size: i32) -> Vec<Bounds2i> {
let nx = (res.x() + tile_size - 1) / tile_size;
let ny = (res.y() + tile_size - 1) / tile_size;
let mut tiles = Vec::new();
for y in 0..ny {
for x in 0..nx {
let p_min = Point2i::new(x * tile_size, y * tile_size);
let p_max = Point2i::new(
(x * tile_size + tile_size).min(res.x()),
(y * tile_size + tile_size).min(res.y()),
);
tiles.push(Bounds2i::from_points(p_min, p_max));
}
}
tiles
}
fn compute_resize_tile(
in_buf: &[Float],
in_extent: Bounds2i,
out_extent: Bounds2i,
n_channels: usize,
x_w: &[ResampleWeight],
y_w: &[ResampleWeight],
) -> Vec<Float> {
let nx_out = (out_extent.p_max.x() - out_extent.p_min.x()) as usize;
let ny_out = (out_extent.p_max.y() - out_extent.p_min.y()) as usize;
let nx_in = (in_extent.p_max.x() - in_extent.p_min.x()) as usize;
let ny_in = (in_extent.p_max.y() - in_extent.p_min.y()) as usize;
let mut x_buf = vec![0.0; n_channels * ny_in * nx_out];
// Resize X
for y in 0..ny_in {
for x in 0..nx_out {
let x_global = out_extent.p_min.x() + x as i32;
let w = &x_w[x_global as usize];
let x_in_start = (w.first_pixel - in_extent.p_min.x()) as usize;
let in_idx_base = (y * nx_in + x_in_start) * n_channels;
let out_idx_base = (y * nx_out + x) * n_channels;
for c in 0..n_channels {
let mut val = 0.0;
for k in 0..4 {
val += w.weight[k] * in_buf[in_idx_base + k * n_channels + c];
}
x_buf[out_idx_base + c] = val;
}
}
}
let mut out_buf = vec![0.0; n_channels * nx_out * ny_out];
// Resize Y
for x in 0..nx_out {
for y in 0..ny_out {
let y_global = out_extent.p_min.y() + y as i32;
let w = &y_w[y_global as usize];
let y_in_start = (w.first_pixel - in_extent.p_min.y()) as usize;
let in_idx_base = (y_in_start * nx_out + x) * n_channels;
let out_idx_base = (y * nx_out + x) * n_channels;
let stride = nx_out * n_channels;
for c in 0..n_channels {
let mut val = 0.0;
for k in 0..4 {
val += w.weight[k] * x_buf[in_idx_base + k * stride + c];
}
out_buf[out_idx_base + c] = val.max(0.0);
}
}
}
out_buf
}

47
src/image/pixel.rs Normal file
View file

@ -0,0 +1,47 @@
use crate::core::pbrt::Float;
use crate::utils::color::{ColorEncoding, ColorEncodingTrait};
use half::f16;
/// Allows writing generic algorithms that work on any image format.
pub trait PixelStorage: Copy + Send + Sync + 'static + PartialEq {
fn from_linear(val: Float, encoding: ColorEncoding) -> Self;
fn to_linear(self, encoding: ColorEncoding) -> Float;
}
impl PixelStorage for f32 {
#[inline(always)]
fn from_linear(val: Float, _enc: ColorEncoding) -> Self {
val
}
#[inline(always)]
fn to_linear(self, _enc: ColorEncoding) -> Float {
self
}
}
impl PixelStorage for f16 {
#[inline(always)]
fn from_linear(val: Float, _enc: ColorEncoding) -> Self {
f16::from_f32(val)
}
#[inline(always)]
fn to_linear(self, _enc: ColorEncoding) -> Float {
self.to_f32()
}
}
impl PixelStorage for u8 {
#[inline(always)]
fn from_linear(val: Float, enc: ColorEncoding) -> Self {
let mut out = [0u8];
enc.from_linear_slice(&[val], &mut out);
out[0]
}
#[inline(always)]
fn to_linear(self, enc: ColorEncoding) -> Float {
let mut out = [0.0];
enc.to_linear_slice(&[self], &mut out);
out[0]
}
}

2
src/lib.rs
View file

@ -5,6 +5,8 @@
mod camera;
mod core;
mod geometry;
mod image;
mod lights;
mod shapes;
mod spectra;
mod utils;

2
src/lights/diffuse.rs
View file

@ -1,7 +1,7 @@
use crate::core::medium::MediumInterface;
use crate::core::pbrt::Float;
use crate::shapes::Shape;
use crate::utils::spectrum::Spectrum;
use crate::spectra::Spectrum;
use crate::utils::transform::Transform;
use std::sync::Arc;

23
src/shapes/bilinear.rs
View file

@ -61,6 +61,7 @@ impl BilinearPatchShape {
} else {
const NA: usize = 3;
let mut p = [[Point3f::default(); NA + 1]; NA + 1];
#[allow(clippy::needless_range_loop)]
for i in 0..=NA {
let u = i as Float / NA as Float;
for j in 0..=NA {
@ -94,10 +95,10 @@ impl BilinearPatchShape {
let mesh = self.mesh();
let start_index = 4 * self.blp_index;
let v = &mesh.vertex_indices[start_index..start_index + 4];
let p00: Point3f = mesh.p[v[0] as usize];
let p10: Point3f = mesh.p[v[1] as usize];
let p01: Point3f = mesh.p[v[2] as usize];
let p11: Point3f = mesh.p[v[3] as usize];
let p00: Point3f = mesh.p[v[0]];
let p10: Point3f = mesh.p[v[1]];
let p01: Point3f = mesh.p[v[2]];
let p11: Point3f = mesh.p[v[3]];
let n = mesh
.n
.as_ref()
@ -141,7 +142,7 @@ impl BilinearPatchShape {
return false;
}
}
return true;
true
}
fn intersect_bilinear_patch(
@ -628,13 +629,13 @@ impl BilinearPatchShape {
}
}
pub fn pdf(&self, intr: Arc<&dyn Interaction>) -> Float {
pub fn pdf(&self, intr: &dyn Interaction) -> Float {
let Some(si) = intr.as_any().downcast_ref::<SurfaceInteraction>() else {
return 0.;
};
let data = self.get_data();
let uv = if let Some(uvs) = &data.mesh.uv {
Point2f::invert_bilinear(si.uv, &uvs)
Point2f::invert_bilinear(si.uv, uvs)
} else {
si.uv
};
@ -675,18 +676,14 @@ impl BilinearPatchShape {
|| data.mesh.image_distribution.is_some()
|| spherical_quad_area(v00, v10, v01, v11) <= Self::MIN_SPHERICAL_SAMPLE_AREA;
if use_area_sampling {
let isect_pdf = self.pdf(Arc::new(isect.intr.as_ref()));
let isect_pdf = self.pdf(isect.intr.as_ref());
let distsq = ctx.p().distance_squared(isect.intr.p());
let absdot = Vector3f::from(isect.intr.n()).abs_dot(-wi);
if absdot == 0. {
return 0.;
}
let pdf = isect_pdf * distsq / absdot;
if pdf.is_infinite() {
return 0.;
} else {
return pdf;
}
if pdf.is_infinite() { 0. } else { pdf }
} else {
let mut pdf = 1. / spherical_quad_area(v00, v10, v01, v11);
if ctx.ns != Normal3f::zero() {

16
src/shapes/curves.rs
View file

@ -76,7 +76,7 @@ impl CurveShape {
};
let context = IntersectionContext {
ray: ray,
ray,
object_from_ray: Arc::new(ray_from_object.inverse()),
common: self.common.clone(),
};
@ -208,6 +208,7 @@ impl CurveShape {
true
}
#[allow(clippy::too_many_arguments)]
fn intersection_result(
&self,
context: &IntersectionContext,
@ -257,7 +258,10 @@ impl CurveShape {
flip_normal,
);
Some(ShapeIntersection { intr: Box::new(intr), t_hit })
Some(ShapeIntersection {
intr: Box::new(intr),
t_hit,
})
}
pub fn bounds(&self) -> Bounds3f {
@ -296,7 +300,7 @@ impl CurveShape {
self.intersect_ray(ray, t_max.unwrap_or(Float::INFINITY))
}
pub fn pdf(&self, _interaction: Arc<&dyn Interaction>) -> Float {
pub fn pdf(&self, _interaction: &dyn Interaction) -> Float {
todo!()
}
@ -308,7 +312,11 @@ impl CurveShape {
todo!()
}
pub fn sample_from_context(&self, _ctx: &ShapeSampleContext, _u: Point2f) -> Option<ShapeSample> {
pub fn sample_from_context(
&self,
_ctx: &ShapeSampleContext,
_u: Point2f,
) -> Option<ShapeSample> {
todo!()
}
}

24
src/shapes/cylinder.rs
View file

@ -55,12 +55,11 @@ impl CylinderShape {
return None;
}
let root_discrim = discrim.sqrt();
let q: Interval;
if Float::from(b) < 0. {
q = -0.5 * (b - root_discrim);
let q = if Float::from(b) < 0. {
-0.5 * (b - root_discrim)
} else {
q = -0.5 * (b + root_discrim);
}
-0.5 * (b + root_discrim)
};
let mut t0 = q / a;
let mut t1 = c / q;
if t0.low > t1.low {
@ -155,7 +154,7 @@ impl CylinderShape {
let flip_normal = self.reverse_orientation ^ self.transform_swap_handedness;
let wo_object = self.object_from_render.apply_to_vector(wo);
// (*renderFromObject)
let surf_point = SurfaceInteraction::new(
SurfaceInteraction::new(
Point3fi::new_with_error(p_hit, p_error),
Point2f::new(u, v),
wo_object,
@ -165,8 +164,7 @@ impl CylinderShape {
dndv,
time,
flip_normal,
);
surf_point
)
}
pub fn area(&self) -> Float {
@ -189,7 +187,7 @@ impl CylinderShape {
let t = t_max.unwrap_or(Float::INFINITY);
if let Some(isect) = self.basic_intersect(ray, t) {
let intr = self.interaction_from_intersection(isect.clone(), -ray.d, ray.time);
return Some(ShapeIntersection::new(intr, isect.t_hit));
Some(ShapeIntersection::new(intr, isect.t_hit))
} else {
None
}
@ -203,7 +201,7 @@ impl CylinderShape {
}
}
pub fn pdf(&self, _interaction: Arc<&dyn Interaction>) -> Float {
pub fn pdf(&self, _interaction: &dyn Interaction) -> Float {
1. / self.area()
}
@ -216,9 +214,9 @@ impl CylinderShape {
if pdf.is_infinite() {
return 0.;
}
return pdf;
pdf
} else {
return 0.;
0.
}
}
@ -264,6 +262,6 @@ impl CylinderShape {
if ss.pdf.is_infinite() {
return None;
}
return Some(ss);
Some(ss)
}
}

15
src/shapes/disk.rs
View file

@ -88,7 +88,7 @@ impl DiskShape {
let p_error = Vector3f::zero();
let flip_normal = self.reverse_orientation ^ self.transform_swap_handedness;
let wo_object = self.object_from_render.apply_to_vector(wo);
let surf_point = SurfaceInteraction::new(
SurfaceInteraction::new(
Point3fi::new_with_error(p_hit, p_error),
Point2f::new(u, v),
wo_object,
@ -98,8 +98,7 @@ impl DiskShape {
dndv,
time,
flip_normal,
);
surf_point
)
}
pub fn area(&self) -> Float {
@ -127,7 +126,7 @@ impl DiskShape {
let t = t_max.unwrap_or(Float::INFINITY);
if let Some(isect) = self.basic_intersect(ray, t) {
let intr = self.interaction_from_intersection(isect.clone(), -ray.d, ray.time);
return Some(ShapeIntersection::new(intr, isect.t_hit));
Some(ShapeIntersection::new(intr, isect.t_hit))
} else {
None
}
@ -182,10 +181,10 @@ impl DiskShape {
if ss.pdf.is_infinite() {
return None;
}
return Some(ss);
Some(ss)
}
pub fn pdf(&self, _interaction: Arc<&dyn Interaction>) -> Float {
pub fn pdf(&self, _interaction: &dyn Interaction) -> Float {
1. / self.area()
}
@ -198,9 +197,9 @@ impl DiskShape {
if pdf.is_infinite() {
return 0.;
}
return pdf;
pdf
} else {
return 0.;
0.
}
}
}

10
src/shapes/mod.rs
View file

@ -92,6 +92,7 @@ pub struct CurveCommon {
}
impl CurveCommon {
#[allow(clippy::too_many_arguments)]
pub fn new(
c: &[Point3f],
w0: Float,
@ -105,10 +106,7 @@ impl CurveCommon {
let transform_swap_handedness = render_from_object.swaps_handedness();
let width = [w0, w1];
assert_eq!(c.len(), 4);
let mut cp_obj = [Point3f::default(); 4];
for i in 0..4 {
cp_obj[i] = c[i];
}
let cp_obj: [Point3f; 4] = c[..4].try_into().unwrap();
let mut n = [Normal3f::default(); 2];
let mut normal_angle: Float = 0.;
@ -166,7 +164,7 @@ impl ShapeIntersection {
}
pub fn intr_mut(&mut self) -> &mut SurfaceInteraction {
&mut *self.intr
&mut self.intr
}
pub fn t_hit(&self) -> Float {
@ -361,7 +359,7 @@ impl Shape {
}
}
pub fn pdf(&self, interaction: Arc<&dyn Interaction>) -> Float {
pub fn pdf(&self, interaction: &dyn Interaction) -> Float {
match self {
Shape::None => 0.,
Shape::Sphere(s) => s.pdf(interaction),

23
src/shapes/sphere.rs
View file

@ -1,7 +1,7 @@
use super::{
Bounds3f, DirectionCone, Float, Interaction, Normal3f, PI, Point2f, Point3f, Point3fi,
QuadricIntersection, Ray, ShapeIntersection, ShapeSample, ShapeSampleContext,
SphereShape, SurfaceInteraction, Transform, Vector3f, Vector3fi,
QuadricIntersection, Ray, ShapeIntersection, ShapeSample, ShapeSampleContext, SphereShape,
SurfaceInteraction, Transform, Vector3f, Vector3fi,
};
use crate::core::pbrt::{clamp_t, gamma};
use crate::geometry::{Frame, Sqrt, VectorLike, spherical_direction};
@ -61,13 +61,12 @@ impl SphereShape {
}
let root_discrim = discrim.sqrt();
let q: Interval;
if Float::from(b) < 0. {
q = -0.5 * (b - root_discrim);
let q = if Float::from(b) < 0. {
-0.5 * (b - root_discrim)
} else {
q = -0.5 * (b + root_discrim);
}
-0.5 * (b + root_discrim)
};
let mut t0 = q / a;
let mut t1 = c / q;
@ -179,7 +178,7 @@ impl SphereShape {
let p_error = gamma(5) * Vector3f::from(p_hit).abs();
let flip_normal = self.reverse_orientation ^ self.transform_swap_handedness;
let wo_object = self.object_from_render.apply_to_vector(wo);
let surf_point = SurfaceInteraction::new(
SurfaceInteraction::new(
Point3fi::new_with_error(p_hit, p_error),
Point2f::new(u, v),
wo_object,
@ -189,9 +188,7 @@ impl SphereShape {
dndv,
time,
flip_normal,
);
// self.render_from_object.apply_to_point(surf_point)
surf_point
)
}
pub fn bounds(&self) -> Bounds3f {
@ -210,7 +207,7 @@ impl SphereShape {
self.phi_max * self.radius * (self.z_max - self.z_min)
}
pub fn pdf(&self, _interaction: Arc<&dyn Interaction>) -> Float {
pub fn pdf(&self, _interaction: &dyn Interaction) -> Float {
1. / self.area()
}
@ -218,7 +215,7 @@ impl SphereShape {
let t = t_max.unwrap_or(Float::INFINITY);
if let Some(isect) = self.basic_intersect(ray, t) {
let intr = self.interaction_from_intersection(isect.clone(), -ray.d, ray.time);
return Some(ShapeIntersection::new(intr, isect.t_hit));
Some(ShapeIntersection::new(intr, isect.t_hit))
} else {
None
}

34
src/shapes/triangle.rs
View file

@ -1,7 +1,7 @@
use super::{
Bounds3f, DirectionCone, Float, Interaction, Normal3f, Point2f, Point3f, Point3fi, Ray,
ShapeIntersection, ShapeSample, ShapeSampleContext, SurfaceInteraction,
TriangleIntersection, TriangleShape, Vector2f, Vector3f,
ShapeIntersection, ShapeSample, ShapeSampleContext, SurfaceInteraction, TriangleIntersection,
TriangleShape, Vector2f, Vector3f,
};
use crate::core::pbrt::gamma;
use crate::geometry::{Sqrt, Tuple, VectorLike, spherical_triangle_area};
@ -74,7 +74,7 @@ impl TriangleShape {
fn solid_angle(&self, p: Point3f) -> Float {
let data = self.get_data();
let [p0, p1, p2] = data.vertices;
spherical_triangle_area::<Float>(
spherical_triangle_area(
(p0 - p).normalize(),
(p1 - p).normalize(),
(p2 - p).normalize(),
@ -296,7 +296,7 @@ impl TriangleShape {
let mut ts = Vector3f::from(ns).cross(ss);
if ts.norm_squared() > 0. {
ss = ts.cross(Vector3f::from(ns)).into();
ss = ts.cross(Vector3f::from(ns));
} else {
(ss, ts) = Vector3f::from(ns).coordinate_system();
}
@ -319,7 +319,7 @@ impl TriangleShape {
isect.shading.n = ns;
isect.shading.dpdu = ss;
isect.shading.dpdv = ts.into();
isect.shading.dpdv = ts;
isect.dndu = dndu;
isect.dndv = dndv;
}
@ -344,14 +344,13 @@ impl TriangleShape {
self.get_data().area
}
pub fn pdf(&self, _interaction: Arc<&dyn Interaction>) -> Float {
pub fn pdf(&self, _interaction: &dyn Interaction) -> Float {
1. / self.area()
}
pub fn pdf_from_context(&self, ctx: &ShapeSampleContext, wi: Vector3f) -> Float {
let solid_angle = self.solid_angle(ctx.p());
if solid_angle < Self::MIN_SPHERICAL_SAMPLE_AREA
|| solid_angle > Self::MAX_SPHERICAL_SAMPLE_AREA
if (Self::MIN_SPHERICAL_SAMPLE_AREA..Self::MAX_SPHERICAL_SAMPLE_AREA).contains(&solid_angle)
{
let ray = ctx.spawn_ray(wi);
return self.intersect(&ray, None).map_or(0., |isect| {
@ -389,13 +388,10 @@ impl TriangleShape {
let data = self.get_data();
let [p0, p1, p2] = data.vertices;
let solid_angle = self.solid_angle(ctx.p());
if solid_angle < Self::MIN_SPHERICAL_SAMPLE_AREA
|| solid_angle > Self::MAX_SPHERICAL_SAMPLE_AREA
if (Self::MIN_SPHERICAL_SAMPLE_AREA..Self::MAX_SPHERICAL_SAMPLE_AREA).contains(&solid_angle)
{
// Sample shape by area and compute incident direction wi
return self
.sample(u)
.map(|mut ss| {
return self.sample(u).and_then(|mut ss| {
let mut intr_clone = (*ss.intr).clone();
intr_clone.common.time = ctx.time;
ss.intr = Arc::new(intr_clone);
@ -408,8 +404,7 @@ impl TriangleShape {
let d2 = ctx.p().distance_squared(ss.intr.p());
ss.pdf /= absdot / d2;
if ss.pdf.is_infinite() { None } else { Some(ss) }
})
.flatten();
});
}
// Sample spherical triangle from reference point
@ -432,9 +427,7 @@ impl TriangleShape {
pdf = bilinear_pdf(u, &w);
}
let Some((b, tri_pdf)) = sample_spherical_triangle(&[p0, p1, p2], ctx.p(), u) else {
return None;
};
let (b, tri_pdf) = sample_spherical_triangle(&[p0, p1, p2], ctx.p(), u)?;
if tri_pdf == 0. {
return None;
}
@ -505,7 +498,10 @@ impl TriangleShape {
self.intersect_triangle(ray, t_max.unwrap_or(Float::INFINITY))
.map(|ti| {
let intr = self.interaction_from_intersection(ti, ray.time, -ray.d);
ShapeIntersection { intr: Box::new(intr), t_hit: ti.t }
ShapeIntersection {
intr: Box::new(intr),
t_hit: ti.t,
}
})
}

33
src/spectra/data.rs Normal file
View file

@ -0,0 +1,33 @@
use super::Spectrum;
use super::sampled::{LAMBDA_MAX, LAMBDA_MIN};
use super::simple::{DenselySampledSpectrum, PiecewiseLinearSpectrum};
use crate::core::cie;
use crate::core::pbrt::Float;
use once_cell::sync::Lazy;
fn create_cie_spectrum(data: &[Float]) -> Spectrum {
let pls = PiecewiseLinearSpectrum::from_interleaved(data);
let dss = DenselySampledSpectrum::from_spectrum(
&Spectrum::PiecewiseLinear(pls),
LAMBDA_MIN,
LAMBDA_MAX,
);
Spectrum::DenselySampled(dss)
}
pub(crate) fn cie_x() -> &'static Spectrum {
static X: Lazy<Spectrum> = Lazy::new(|| create_cie_spectrum(&cie::CIE_X));
&X
}
pub(crate) fn cie_y() -> &'static Spectrum {
static Y: Lazy<Spectrum> = Lazy::new(|| create_cie_spectrum(&cie::CIE_Y));
&Y
}
pub(crate) fn cie_z() -> &'static Spectrum {
static Z: Lazy<Spectrum> = Lazy::new(|| create_cie_spectrum(&cie::CIE_Z));
&Z
}

68
src/spectra/mod.rs Normal file
View file

@ -0,0 +1,68 @@
pub mod data;
pub mod rgb;
pub mod sampled;
pub mod simple;
use crate::core::pbrt::Float;
use crate::utils::color::{RGB, XYZ};
use crate::utils::colorspace::RGBColorSpace;
use enum_dispatch::enum_dispatch;
pub use data::*;
pub use rgb::*;
use sampled::{CIE_Y_INTEGRAL, LAMBDA_MAX, LAMBDA_MIN};
pub use sampled::{N_SPECTRUM_SAMPLES, SampledSpectrum, SampledWavelengths};
pub use simple::*; // CIE_X, etc
//
#[enum_dispatch]
pub trait SpectrumTrait {
fn evaluate(&self, lambda: Float) -> Float;
fn max_value(&self) -> Float;
}
#[enum_dispatch(SpectrumTrait)]
#[derive(Debug, Clone)]
pub enum Spectrum {
Constant(ConstantSpectrum),
DenselySampled(DenselySampledSpectrum),
PiecewiseLinear(PiecewiseLinearSpectrum),
Blackbody(BlackbodySpectrum),
RGBAlbedo(RGBAlbedoSpectrum),
}
impl Spectrum {
pub fn std_illuminant_d65() -> Self {
todo!()
}
pub fn to_xyz(&self) -> XYZ {
let x = self.inner_product(data::cie_x());
let y = self.inner_product(data::cie_y());
let z = self.inner_product(data::cie_z());
XYZ::new(x, y, z) / CIE_Y_INTEGRAL
}
fn to_rgb(&self, cs: &RGBColorSpace) -> RGB {
let xyz = self.to_xyz();
cs.to_rgb(xyz)
}
pub fn sample(&self, wavelengths: &SampledWavelengths) -> SampledSpectrum {
let mut s = SampledSpectrum::default();
for i in 0..N_SPECTRUM_SAMPLES {
s[i] = self.evaluate(wavelengths[i]);
}
s
}
pub fn inner_product(&self, other: &Spectrum) -> Float {
let mut integral = 0.0;
// Iterate integer wavelengths.
for lambda in LAMBDA_MIN..=LAMBDA_MAX {
let l = lambda as Float;
integral += self.evaluate(l) * other.evaluate(l);
}
integral
}
}

172
src/spectra/rgb.rs Normal file
View file

@ -0,0 +1,172 @@
use super::sampled::{
LAMBDA_MAX, LAMBDA_MIN, N_SPECTRUM_SAMPLES, SampledSpectrum, SampledWavelengths,
};
use crate::core::pbrt::Float;
use crate::spectra::{DenselySampledSpectrum, SpectrumTrait};
use crate::utils::color::{RGB, RGBSigmoidPolynomial, XYZ};
use crate::utils::colorspace::RGBColorSpace;
use std::sync::Arc;
#[derive(Debug, Clone, Copy)]
pub struct RGBAlbedoSpectrum {
rsp: RGBSigmoidPolynomial,
}
impl RGBAlbedoSpectrum {
pub fn new(cs: &RGBColorSpace, rgb: RGB) -> Self {
Self {
rsp: cs.to_rgb_coeffs(rgb),
}
}
fn sample(&self, lambda: &SampledWavelengths) -> SampledSpectrum {
let mut s = SampledSpectrum::default();
for i in 0..N_SPECTRUM_SAMPLES {
s[i] = self.rsp.evaluate(lambda[i]);
}
s
}
}
impl SpectrumTrait for RGBAlbedoSpectrum {
fn evaluate(&self, lambda: Float) -> Float {
self.rsp.evaluate(lambda)
}
fn max_value(&self) -> Float {
self.rsp.max_value()
}
}
#[derive(Debug, Clone, Copy)]
pub struct UnboundedRGBSpectrum {
scale: Float,
rsp: RGBSigmoidPolynomial,
}
impl UnboundedRGBSpectrum {
pub fn new(cs: RGBColorSpace, rgb: RGB) -> Self {
let m = rgb.r.max(rgb.g).max(rgb.b);
let scale = 2.0 * m;
let scaled_rgb = if scale != 0.0 {
rgb / scale
} else {
RGB::new(0.0, 0.0, 0.0)
};
Self {
scale,
rsp: cs.to_rgb_coeffs(scaled_rgb),
}
}
}
impl SpectrumTrait for UnboundedRGBSpectrum {
fn evaluate(&self, lambda: Float) -> Float {
self.scale * self.rsp.evaluate(lambda)
}
fn max_value(&self) -> Float {
self.scale * self.rsp.max_value()
}
}
#[derive(Debug, Clone, Default)]
pub struct RGBIlluminantSpectrum {
scale: Float,
rsp: RGBSigmoidPolynomial,
illuminant: Option<Arc<DenselySampledSpectrum>>,
}
impl RGBIlluminantSpectrum {
pub fn new(cs: RGBColorSpace, rgb: RGB) -> Self {
let illuminant = &cs.illuminant;
let densely_sampled =
DenselySampledSpectrum::from_spectrum(illuminant, LAMBDA_MIN, LAMBDA_MAX);
let m = rgb.max();
let scale = 2. * m;
let rsp = cs.to_rgb_coeffs(if scale == 1. {
rgb / scale
} else {
RGB::new(0., 0., 0.)
});
Self {
scale,
rsp,
illuminant: Some(Arc::new(densely_sampled)),
}
}
}
impl SpectrumTrait for RGBIlluminantSpectrum {
fn evaluate(&self, lambda: Float) -> Float {
match &self.illuminant {
Some(illuminant) => {
self.scale * self.rsp.evaluate(lambda) * illuminant.evaluate(lambda)
}
None => 0.0,
}
}
fn max_value(&self) -> Float {
match &self.illuminant {
Some(illuminant) => self.scale * self.rsp.max_value() * illuminant.max_value(),
None => 0.0,
}
}
}
#[derive(Debug, Clone, Copy)]
pub struct RGBSpectrum {
pub c: [Float; 3],
}
#[derive(Debug, Clone, Copy)]
pub struct RGBUnboundedSpectrum {
scale: Float,
rsp: RGBSigmoidPolynomial,
}
impl Default for RGBUnboundedSpectrum {
fn default() -> Self {
Self {
scale: 0.0,
rsp: RGBSigmoidPolynomial::default(),
}
}
}
impl RGBUnboundedSpectrum {
pub fn new(cs: &RGBColorSpace, rgb: RGB) -> Self {
let m = rgb.max();
let scale = 2.0 * m;
let rgb_norm = if scale > 0.0 {
rgb / scale
} else {
RGB::new(0.0, 0.0, 0.0)
};
let rsp = cs.to_rgb_coeffs(rgb_norm);
Self { scale, rsp }
}
pub fn sample(&self, lambda: &SampledWavelengths) -> SampledSpectrum {
let mut s = SampledSpectrum::default();
for i in 0..N_SPECTRUM_SAMPLES {
s[i] = self.scale * self.rsp.evaluate(lambda[i]);
}
s
}
}
impl SpectrumTrait for RGBUnboundedSpectrum {
fn evaluate(&self, lambda: Float) -> Float {
self.scale * self.rsp.evaluate(lambda)
}
fn max_value(&self) -> Float {
self.scale * self.rsp.max_value()
}
}

359
src/spectra/sampled.rs Normal file
View file

@ -0,0 +1,359 @@
use crate::core::pbrt::Float;
use std::ops::{
Add, AddAssign, Div, DivAssign, Index, IndexMut, Mul, MulAssign, Neg, Sub, SubAssign,
};
pub const CIE_Y_INTEGRAL: Float = 106.856895;
pub const N_SPECTRUM_SAMPLES: usize = 1200;
pub const LAMBDA_MIN: i32 = 360;
pub const LAMBDA_MAX: i32 = 830;
#[derive(Debug, Copy, Clone, PartialEq)]
pub struct SampledSpectrum {
pub values: [Float; N_SPECTRUM_SAMPLES],
}
impl Default for SampledSpectrum {
fn default() -> Self {
Self {
values: [0.0; N_SPECTRUM_SAMPLES],
}
}
}
impl SampledSpectrum {
pub fn new(c: Float) -> Self {
Self {
values: [c; N_SPECTRUM_SAMPLES],
}
}
#[inline]
pub fn from_fn<F>(cb: F) -> Self
where
F: FnMut(usize) -> Float,
{
Self {
values: std::array::from_fn(cb),
}
}
pub fn from_vector(v: Vec<Float>) -> Self {
let mut values = [0.0; N_SPECTRUM_SAMPLES];
let count = v.len().min(N_SPECTRUM_SAMPLES);
values[..count].copy_from_slice(&v[..count]);
Self { values }
}
pub fn is_black(&self) -> bool {
self.values.iter().all(|&sample| sample == 0.0)
}
pub fn has_nans(&self) -> bool {
self.values.iter().any(|&v| v.is_nan())
}
pub fn min_component_value(&self) -> Float {
self.values.iter().fold(Float::INFINITY, |a, &b| a.min(b))
}
pub fn max_component_value(&self) -> Float {
self.values
.iter()
.fold(Float::NEG_INFINITY, |a, &b| a.max(b))
}
pub fn average(&self) -> Float {
self.values.iter().sum::<Float>() / (N_SPECTRUM_SAMPLES as Float)
}
pub fn safe_div(&self, rhs: SampledSpectrum) -> Self {
let mut r = SampledSpectrum::new(0.0);
for i in 0..N_SPECTRUM_SAMPLES {
r.values[i] = if rhs[i] != 0.0 {
self.values[i] / rhs.values[i]
} else {
0.0
}
}
r
}
pub fn exp(&self) -> SampledSpectrum {
let values = self.values.map(|v| v.exp());
let ret = Self { values };
debug_assert!(!ret.has_nans());
ret
}
pub fn pow_int(&self, mut power: usize) -> Self {
let mut result = Self::new(1.0);
let mut base = *self;
while power > 0 {
if power % 2 == 1 {
result *= base;
}
base *= base;
power /= 2;
}
result
}
}
impl<'a> IntoIterator for &'a SampledSpectrum {
type Item = &'a Float;
type IntoIter = std::slice::Iter<'a, Float>;
fn into_iter(self) -> Self::IntoIter {
self.values.iter()
}
}
impl<'a> IntoIterator for &'a mut SampledSpectrum {
type Item = &'a mut Float;
type IntoIter = std::slice::IterMut<'a, Float>;
fn into_iter(self) -> Self::IntoIter {
self.values.iter_mut()
}
}
impl Index<usize> for SampledSpectrum {
type Output = Float;
fn index(&self, i: usize) -> &Self::Output {
&self.values[i]
}
}
impl IndexMut<usize> for SampledSpectrum {
fn index_mut(&mut self, i: usize) -> &mut Self::Output {
&mut self.values[i]
}
}
impl Add for SampledSpectrum {
type Output = Self;
fn add(self, rhs: Self) -> Self {
let mut ret = self;
for i in 0..N_SPECTRUM_SAMPLES {
ret.values[i] += rhs.values[i];
}
ret
}
}
impl AddAssign for SampledSpectrum {
fn add_assign(&mut self, rhs: Self) {
for i in 0..N_SPECTRUM_SAMPLES {
self.values[i] += rhs.values[i];
}
}
}
impl Sub for SampledSpectrum {
type Output = Self;
fn sub(self, rhs: Self) -> Self {
let mut ret = self;
for i in 0..N_SPECTRUM_SAMPLES {
ret.values[i] -= rhs.values[i];
}
ret
}
}
impl SubAssign for SampledSpectrum {
fn sub_assign(&mut self, rhs: Self) {
for i in 0..N_SPECTRUM_SAMPLES {
self.values[i] -= rhs.values[i];
}
}
}
impl Sub<SampledSpectrum> for Float {
type Output = SampledSpectrum;
fn sub(self, rhs: SampledSpectrum) -> SampledSpectrum {
SampledSpectrum::from_fn(|i| self - rhs[i])
}
}
impl Mul for SampledSpectrum {
type Output = Self;
fn mul(self, rhs: Self) -> Self {
let mut ret = self;
for i in 0..N_SPECTRUM_SAMPLES {
ret.values[i] *= rhs.values[i];
}
ret
}
}
impl MulAssign for SampledSpectrum {
fn mul_assign(&mut self, rhs: Self) {
for i in 0..N_SPECTRUM_SAMPLES {
self.values[i] *= rhs.values[i];
}
}
}
impl Mul<Float> for SampledSpectrum {
type Output = Self;
fn mul(self, rhs: Float) -> Self {
let mut ret = self;
for i in 0..N_SPECTRUM_SAMPLES {
ret.values[i] *= rhs;
}
ret
}
}
impl Mul<SampledSpectrum> for Float {
type Output = SampledSpectrum;
fn mul(self, rhs: SampledSpectrum) -> SampledSpectrum {
rhs * self
}
}
impl MulAssign<Float> for SampledSpectrum {
fn mul_assign(&mut self, rhs: Float) {
for i in 0..N_SPECTRUM_SAMPLES {
self.values[i] *= rhs;
}
}
}
impl DivAssign for SampledSpectrum {
fn div_assign(&mut self, rhs: Self) {
for i in 0..N_SPECTRUM_SAMPLES {
debug_assert_ne!(0.0, rhs.values[i]);
self.values[i] /= rhs.values[i];
}
}
}
impl Div for SampledSpectrum {
type Output = Self;
fn div(self, rhs: Self) -> Self::Output {
let mut ret = self;
ret /= rhs;
ret
}
}
impl Div<Float> for SampledSpectrum {
type Output = Self;
fn div(self, rhs: Float) -> Self::Output {
debug_assert_ne!(rhs, 0.0);
let mut ret = self;
for i in 0..N_SPECTRUM_SAMPLES {
ret.values[i] /= rhs;
}
ret
}
}
impl DivAssign<Float> for SampledSpectrum {
fn div_assign(&mut self, rhs: Float) {
debug_assert_ne!(rhs, 0.0);
for i in 0..N_SPECTRUM_SAMPLES {
self.values[i] /= rhs;
}
}
}
impl Neg for SampledSpectrum {
type Output = Self;
fn neg(self) -> Self::Output {
let mut ret = SampledSpectrum::new(0.0);
for i in 0..N_SPECTRUM_SAMPLES {
ret.values[i] = -self.values[i];
}
ret
}
}
#[derive(Debug, Copy, Clone, PartialEq)]
pub struct SampledWavelengths {
pub lambda: [Float; N_SPECTRUM_SAMPLES],
pub pdf: [Float; N_SPECTRUM_SAMPLES],
}
impl SampledWavelengths {
pub fn pdf(&self) -> SampledSpectrum {
SampledSpectrum::from_vector(self.pdf.to_vec())
}
pub fn secondary_terminated(&self) -> bool {
for i in 1..N_SPECTRUM_SAMPLES {
if self.pdf[i] != 0.0 {
return false;
}
}
true
}
pub fn terminate_secondary(&mut self) {
if !self.secondary_terminated() {
for i in 1..N_SPECTRUM_SAMPLES {
self.pdf[i] = 0.0;
}
self.pdf[0] /= N_SPECTRUM_SAMPLES as Float;
}
}
pub fn sample_uniform(u: Float, lambda_min: Float, lambda_max: Float) -> Self {
let mut lambda = [0.0; N_SPECTRUM_SAMPLES];
lambda[0] = crate::core::pbrt::lerp(u, lambda_min, lambda_min);
let delta = (lambda_max - lambda_min) / N_SPECTRUM_SAMPLES as Float;
for i in 1..N_SPECTRUM_SAMPLES {
lambda[i] = lambda[i - 1] + delta;
if lambda[i] > lambda_max {
lambda[i] = lambda_min + (lambda[i] - lambda_max);
}
}
let pdf = [1. / (lambda_max - lambda_min); N_SPECTRUM_SAMPLES];
Self { lambda, pdf }
}
pub fn sample_visible_wavelengths(u: Float) -> Float {
538.0 - 138.888889 * Float::atanh(0.85691062 - 1.82750197 * u)
}
pub fn visible_wavelengths_pdf(lambda: Float) -> Float {
if !(360.0..830.0).contains(&lambda) {
return 0.0;
}
0.0039398042 / (Float::cosh(0.0072 * (lambda - 538.0))).sqrt()
}
pub fn sample_visible(u: Float) -> Self {
let mut lambda = [0.0; N_SPECTRUM_SAMPLES];
let mut pdf = [0.0; N_SPECTRUM_SAMPLES];
for i in 0..N_SPECTRUM_SAMPLES {
let mut up = u + i as Float / N_SPECTRUM_SAMPLES as Float;
if up > 1.0 {
up -= 1.0;
}
lambda[i] = Self::sample_visible_wavelengths(up);
pdf[i] = Self::visible_wavelengths_pdf(lambda[i]);
}
Self { lambda, pdf }
}
}
impl Index<usize> for SampledWavelengths {
type Output = Float;
fn index(&self, i: usize) -> &Self::Output {
&self.lambda[i]
}
}
impl IndexMut<usize> for SampledWavelengths {
fn index_mut(&mut self, i: usize) -> &mut Self::Output {
&mut self.lambda[i]
}
}

230
src/spectra/simple.rs Normal file
View file

@ -0,0 +1,230 @@
use super::sampled::{LAMBDA_MAX, LAMBDA_MIN};
use crate::core::pbrt::Float;
use crate::spectra::{
N_SPECTRUM_SAMPLES, SampledSpectrum, SampledWavelengths, Spectrum, SpectrumTrait,
};
#[derive(Debug, Clone, Copy)]
pub struct ConstantSpectrum {
c: Float,
}
impl ConstantSpectrum {
pub fn new(c: Float) -> Self {
Self { c }
}
}
impl SpectrumTrait for ConstantSpectrum {
fn evaluate(&self, _lambda: Float) -> Float {
self.c
}
fn max_value(&self) -> Float {
self.c
}
}
#[derive(Debug, Clone)]
pub struct DenselySampledSpectrum {
lambda_min: i32,
lambda_max: i32,
values: Vec<Float>,
}
impl DenselySampledSpectrum {
pub fn new(lambda_min: i32, lambda_max: i32) -> Self {
let n_values = (lambda_max - lambda_min + 1).max(0) as usize;
Self {
lambda_min,
lambda_max,
values: vec![0.0; n_values],
}
}
pub fn from_spectrum(spec: &Spectrum, lambda_min: i32, lambda_max: i32) -> Self {
let mut s = Self::new(lambda_min, lambda_max);
if s.values.is_empty() {
return s;
}
for lambda in lambda_min..=lambda_max {
let index = (lambda - lambda_min) as usize;
s.values[index] = spec.evaluate(lambda as Float);
}
s
}
pub fn from_function<F>(f: F, lambda_min: i32, lambda_max: i32) -> Self
where
F: Fn(Float) -> Float,
{
let mut s = Self::new(lambda_min, lambda_max);
if s.values.is_empty() {
return s;
}
for lambda in lambda_min..=lambda_max {
let index = (lambda - lambda_min) as usize;
s.values[index] = f(lambda as Float);
}
s
}
pub fn sample(&self, lambda: &SampledWavelengths) -> SampledSpectrum {
let mut s = SampledSpectrum::default();
for i in 0..N_SPECTRUM_SAMPLES {
let offset = lambda[i].round() as usize - LAMBDA_MIN as usize;
if offset >= self.values.len() {
s[i] = 0.;
} else {
s[i] = self.values[offset];
}
}
s
}
pub fn min_component_value(&self) -> Float {
self.values.iter().fold(Float::INFINITY, |a, &b| a.min(b))
}
pub fn max_component_value(&self) -> Float {
self.values
.iter()
.fold(Float::NEG_INFINITY, |a, &b| a.max(b))
}
pub fn average(&self) -> Float {
self.values.iter().sum::<Float>() / (N_SPECTRUM_SAMPLES as Float)
}
pub fn safe_div(&self, rhs: SampledSpectrum) -> Self {
let mut r = Self::new(1, 1);
for i in 0..N_SPECTRUM_SAMPLES {
r.values[i] = if rhs[i] != 0.0 {
self.values[i] / rhs.values[i]
} else {
0.0
}
}
r
}
}
impl SpectrumTrait for DenselySampledSpectrum {
fn evaluate(&self, lambda: Float) -> Float {
let offset = (lambda.round() as i32) - self.lambda_min;
if offset < 0 || offset as usize >= self.values.len() {
0.0
} else {
self.values[offset as usize]
}
}
fn max_value(&self) -> Float {
self.values.iter().fold(Float::MIN, |a, b| a.max(*b))
}
}
#[derive(Debug, Clone)]
pub struct PiecewiseLinearSpectrum {
samples: Vec<(Float, Float)>,
}
impl PiecewiseLinearSpectrum {
pub fn from_interleaved(data: &[Float]) -> Self {
assert!(
data.len().is_multiple_of(2),
"Interleaved data must have an even number of elements"
);
let mut samples = Vec::new();
for pair in data.chunks(2) {
samples.push((pair[0], pair[1]));
}
samples.sort_by(|a, b| a.0.partial_cmp(&b.0).unwrap());
Self { samples }
}
}
impl SpectrumTrait for PiecewiseLinearSpectrum {
fn evaluate(&self, lambda: Float) -> Float {
if self.samples.is_empty() {
return 0.0;
}
// Handle boundary conditions
if lambda <= self.samples[0].0 {
return self.samples[0].1;
}
if lambda >= self.samples.last().unwrap().0 {
return self.samples.last().unwrap().1;
}
let i = self.samples.partition_point(|s| s.0 < lambda);
let s1 = self.samples[i - 1];
let s2 = self.samples[i];
let t = (lambda - s1.0) / (s2.0 - s1.0);
(1.0 - t) * s1.1 + t * s2.1
}
fn max_value(&self) -> Float {
if self.samples.is_empty() {
return 0.0;
}
self.samples
.iter()
.map(|(_, value)| *value)
.fold(0.0, |a, b| a.max(b))
}
}
#[derive(Debug, Clone, Copy)]
pub struct BlackbodySpectrum {
temperature: Float,
normalization_factor: Float,
}
// Planck's Law
impl BlackbodySpectrum {
const C: Float = 299792458.0;
const H: Float = 6.62606957e-34;
const KB: Float = 1.3806488e-23;
pub fn new(temperature: Float) -> Self {
// Physical constants
let lambda_max = 2.8977721e-3 / temperature * 1e9;
let max_val = Self::planck_law(lambda_max, temperature);
Self {
temperature,
normalization_factor: if max_val > 0.0 { 1.0 / max_val } else { 0.0 },
}
}
fn planck_law(lambda_nm: Float, temp: Float) -> Float {
if temp <= 0.0 {
return 0.0;
}
let lambda_m = lambda_nm * 1e-9;
let c1 = 2.0 * Self::H * Self::C * Self::C;
let c2 = (Self::H * Self::C) / Self::KB;
let numerator = c1 / lambda_m.powi(5);
let denominator = (c2 / (lambda_m * temp)).exp() - 1.0;
if denominator.is_infinite() {
0.0
} else {
numerator / denominator
}
}
}
impl SpectrumTrait for BlackbodySpectrum {
fn evaluate(&self, lambda: Float) -> Float {
Self::planck_law(lambda, self.temperature) * self.normalization_factor
}
fn max_value(&self) -> Float {
let lambda_max = 2.8977721e-3 / self.temperature * 1e9;
Self::planck_law(lambda_max, self.temperature)
}
}

87
src/utils/color.rs
View file

@ -4,12 +4,14 @@ use std::ops::{
Add, AddAssign, Div, DivAssign, Index, IndexMut, Mul, MulAssign, Neg, Sub, SubAssign,
};
use super::spectrum::Spectrum;
use crate::core::pbrt::{Float, lerp};
use crate::geometry::Point2f;
use crate::spectra::Spectrum;
use crate::utils::math::SquareMatrix;
use once_cell::sync::Lazy;
use enum_dispatch::enum_dispatch;
pub trait Triplet {
fn from_triplet(c1: Float, c2: Float, c3: Float) -> Self;
}
@ -250,7 +252,7 @@ impl fmt::Display for XYZ {
}
}
#[derive(Debug, Clone)]
#[derive(Debug, Copy, Clone)]
pub struct RGB {
pub r: Float,
pub g: Float,
@ -453,6 +455,52 @@ impl fmt::Display for RGB {
}
}
impl Mul<XYZ> for SquareMatrix<Float, 3> {
type Output = RGB;
fn mul(self, v: XYZ) -> RGB {
let r = self[0][0] * v.x + self[0][1] * v.y + self[0][2] * v.z;
let g = self[1][0] * v.x + self[1][1] * v.y + self[1][2] * v.z;
let b = self[2][0] * v.x + self[2][1] * v.y + self[2][2] * v.z;
RGB::new(r, g, b)
}
}
impl Mul<RGB> for SquareMatrix<Float, 3> {
type Output = XYZ;
fn mul(self, v: RGB) -> XYZ {
let x = self[0][0] * v.r + self[0][1] * v.g + self[0][2] * v.b;
let y = self[1][0] * v.r + self[1][1] * v.g + self[1][2] * v.b;
let z = self[2][0] * v.r + self[2][1] * v.g + self[2][2] * v.b;
XYZ::new(x, y, z)
}
}
pub trait MatrixMulColor {
fn mul_rgb(&self, v: RGB) -> RGB;
fn mul_xyz(&self, v: XYZ) -> XYZ;
}
impl MatrixMulColor for SquareMatrix<Float, 3> {
fn mul_rgb(&self, v: RGB) -> RGB {
let m = self;
RGB::new(
m[0][0] * v.r + m[0][1] * v.g + m[0][2] * v.b,
m[1][0] * v.r + m[1][1] * v.g + m[1][2] * v.b,
m[2][0] * v.r + m[2][1] * v.g + m[2][2] * v.b,
)
}
fn mul_xyz(&self, v: XYZ) -> XYZ {
let m = self;
XYZ::new(
m[0][0] * v.x + m[0][1] * v.y + m[0][2] * v.z,
m[1][0] * v.x + m[1][1] * v.y + m[1][2] * v.z,
m[2][0] * v.x + m[2][1] * v.y + m[2][2] * v.z,
)
}
}
pub const RES: usize = 64;
pub type CoefficientArray = [[[[[Float; 3]; RES]; RES]; RES]; 3];
@ -497,7 +545,7 @@ impl RGBSigmoidPolynomial {
pub fn max_value(&self) -> Float {
let lambda = -self.c1 / (2.0 * self.c0);
let result = self.evaluate(360.0).max(self.evaluate(830.0));
if lambda >= 360.0 && lambda <= 830.0 {
if (360.0..830.0).contains(&lambda) {
return result.max(self.evaluate(lambda));
}
result
@ -531,13 +579,11 @@ impl RGBToSpectrumTable {
} else {
maxc = 2;
}
} else {
if rgb[1] > rgb[2] {
} else if rgb[1] > rgb[2] {
maxc = 1;
} else {
maxc = 2;
}
}
let z = rgb[maxc];
let x = rgb[(maxc + 1) % 3] * (RES - 1) as Float / z;
@ -550,6 +596,7 @@ impl RGBToSpectrumTable {
let dy = (y - yi) as usize;
let dz = (z - self.z_nodes[zi]) / (self.z_nodes[zi + 1] - self.z_nodes[zi]);
let mut c = [0.0; 3];
#[allow(clippy::needless_range_loop)]
for i in 0..3 {
let co = |dx: usize, dy: usize, dz: usize| {
self.coeffs[maxc][zi as usize + dz][yi as usize + dy][xi as usize + dx][i]
@ -604,7 +651,8 @@ pub fn white_balance(src_white: Point2f, target_white: Point2f) -> SquareMatrix<
XYZ_FROM_LMS * lms_correct * LMS_FROM_XYZ
}
pub trait ColorEncoding: 'static + Send + Sync + fmt::Debug + fmt::Display {
#[enum_dispatch]
pub trait ColorEncodingTrait: 'static + Send + Sync + fmt::Debug + fmt::Display {
fn from_linear_slice(&self, vin: &[Float], vout: &mut [u8]);
fn to_linear_slice(&self, vin: &[u8], vout: &mut [Float]);
fn to_float_linear(&self, v: Float) -> Float;
@ -613,9 +661,22 @@ pub trait ColorEncoding: 'static + Send + Sync + fmt::Debug + fmt::Display {
}
}
#[derive(Debug)]
#[enum_dispatch(ColorEncodingTrait)]
#[derive(Debug, Clone, Copy, Hash, PartialEq, Eq)]
pub enum ColorEncoding {
Linear(LinearEncoding),
SRGB(SRGBEncoding),
}
impl fmt::Display for ColorEncoding {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
write!(f, "Encoding")
}
}
#[derive(Debug, Clone, Copy, Hash, PartialEq, Eq)]
pub struct LinearEncoding;
impl ColorEncoding for LinearEncoding {
impl ColorEncodingTrait for LinearEncoding {
fn from_linear_slice(&self, vin: &[Float], vout: &mut [u8]) {
for (i, &v) in vin.iter().enumerate() {
vout[i] = (v.clamp(0.0, 1.0) * 255.0 + 0.5) as u8;
@ -637,9 +698,9 @@ impl fmt::Display for LinearEncoding {
}
}
#[derive(Debug)]
#[derive(Debug, Clone, Copy, Hash, PartialEq, Eq)]
pub struct SRGBEncoding;
impl ColorEncoding for SRGBEncoding {
impl ColorEncodingTrait for SRGBEncoding {
fn from_linear_slice(&self, vin: &[Float], vout: &mut [u8]) {
for (i, &v_linear) in vin.iter().enumerate() {
let v = v_linear.clamp(0.0, 1.0);
@ -674,8 +735,8 @@ impl fmt::Display for SRGBEncoding {
}
}
pub static LINEAR: Lazy<&'static dyn ColorEncoding> = Lazy::new(|| &LinearEncoding);
pub static SRGB: Lazy<&'static dyn ColorEncoding> = Lazy::new(|| &SRGBEncoding);
pub const LINEAR: ColorEncoding = ColorEncoding::Linear(LinearEncoding);
pub const SRGB: ColorEncoding = ColorEncoding::SRGB(SRGBEncoding);
const SRGB_TO_LINEAR_LUT: [Float; 256] = [
0.0000000000,

27
src/utils/colorspace.rs
View file

@ -1,8 +1,8 @@
use super::color::{RGB, RGBSigmoidPolynomial, RGBToSpectrumTable, XYZ};
use super::math::SquareMatrix;
use super::spectrum::{DenselySampledSpectrum, SampledSpectrum, Spectrum};
use crate::core::pbrt::Float;
use crate::geometry::Point2f;
use crate::spectra::{DenselySampledSpectrum, SampledSpectrum, Spectrum};
use once_cell::sync::Lazy;
@ -16,7 +16,7 @@ pub enum ColorEncoding {
}
#[derive(Debug, Clone)]
pub struct RGBColorspace {
pub struct RGBColorSpace {
pub r: Point2f,
pub g: Point2f,
pub b: Point2f,
@ -27,7 +27,7 @@ pub struct RGBColorspace {
pub rgb_from_xyz: SquareMatrix<Float, 3>,
}
impl RGBColorspace {
impl RGBColorSpace {
pub fn new(
r: Point2f,
g: Point2f,
@ -35,7 +35,7 @@ impl RGBColorspace {
illuminant: Spectrum,
rgb_to_spectrum_table: RGBToSpectrumTable,
) -> Result<Self, Box<dyn Error>> {
let w_xyz = illuminant.to_xyz();
let w_xyz: XYZ = illuminant.to_xyz();
let w = w_xyz.xy();
let r_xyz = XYZ::from_xyy(r, Some(1.0));
let g_xyz = XYZ::from_xyy(g, Some(1.0));
@ -46,12 +46,11 @@ impl RGBColorspace {
[r_xyz.z(), g_xyz.z(), g_xyz.z()],
];
let rgb = SquareMatrix::new(rgb_values);
let c = rgb.inverse()? * w_xyz;
let xyz_from_rgb_m = [[c[0], 0.0, 0.0], [0.0, c[1], 0.0], [0.0, 0.0, c[2]]];
let xyz_from_rgb = rgb * SquareMatrix::new(xyz_from_rgb_m);
let c: RGB = rgb.inverse()? * w_xyz;
let xyz_from_rgb = rgb * SquareMatrix::diag(&[c.r, c.g, c.b]);
let rgb_from_xyz = xyz_from_rgb
.inverse()
.expect("Failed to invert the XYZfromRGB matrix. Is it singular?");
.expect("XYZ from RGB matrix is singular");
Ok(Self {
r,
@ -66,18 +65,18 @@ impl RGBColorspace {
}
pub fn to_xyz(&self, rgb: RGB) -> XYZ {
self.xyz_from_rgb.transform_to_xyz(rgb)
self.xyz_from_rgb * rgb
}
pub fn to_rgb(&self, xyz: XYZ) -> RGB {
self.rgb_from_xyz.transform_to_rgb(xyz)
self.rgb_from_xyz * xyz
}
pub fn to_rgb_coeffs(&self, rgb: RGB) -> RGBSigmoidPolynomial {
self.rgb_to_spectrum_table.to_polynomial(rgb)
}
pub fn convert_colorspace(&self, other: &RGBColorspace) -> SquareMatrix<Float, 3> {
pub fn convert_colorspace(&self, other: &RGBColorSpace) -> SquareMatrix<Float, 3> {
if self == other {
return SquareMatrix::default();
}
@ -86,7 +85,7 @@ impl RGBColorspace {
}
pub fn srgb() -> &'static Self {
static SRGB_SPACE: Lazy<RGBColorspace> = Lazy::new(|| {
static SRGB_SPACE: Lazy<RGBColorSpace> = Lazy::new(|| {
let r = Point2f::new(0.64, 0.33);
let g = Point2f::new(0.30, 0.60);
let b = Point2f::new(0.15, 0.06);
@ -94,7 +93,7 @@ impl RGBColorspace {
let illuminant = Spectrum::std_illuminant_d65();
let table = RGBToSpectrumTable::srgb();
RGBColorspace::new(r, g, b, illuminant, table)
RGBColorSpace::new(r, g, b, illuminant, table)
.expect("Failed to initialize standard sRGB color space")
});
@ -102,7 +101,7 @@ impl RGBColorspace {
}
}
impl PartialEq for RGBColorspace {
impl PartialEq for RGBColorSpace {
fn eq(&self, other: &Self) -> bool {
self.r == other.r
&& self.g == other.g

4
src/utils/containers.rs
View file

@ -76,7 +76,7 @@ impl<T> Index<Point2i> for Array2D<T> {
type Output = T;
fn index(&self, mut p: Point2i) -> &Self::Output {
p = p - Vector2i::from(self.extent.p_min);
p -= Vector2i::from(self.extent.p_min);
let width = self.extent.p_max.x() - self.extent.p_min.x();
let idx = (p.x() + width * p.y()) as usize;
&self.values[idx]
@ -85,7 +85,7 @@ impl<T> Index<Point2i> for Array2D<T> {
impl<T> IndexMut<Point2i> for Array2D<T> {
fn index_mut(&mut self, mut p: Point2i) -> &mut Self::Output {
p = p - Vector2i::from(self.extent.p_min);
p -= Vector2i::from(self.extent.p_min);
let width = self.extent.p_max.x() - self.extent.p_min.x();
let idx = (p.x() + width * p.y()) as usize;
&mut self.values[idx]

6
src/utils/error.rs
View file

@ -1,8 +1,8 @@
use image::error;
use image_rs::{ImageError as IError, error};
use std::fmt;
use thiserror::Error;
use crate::utils::image::PixelFormat;
use crate::image::PixelFormat;
#[derive(Error, Debug)]
pub enum LlsError {
@ -40,7 +40,7 @@ pub enum ImageError {
Io(#[from] std::io::Error),
#[error("Image file error: {0}")]
Image(#[from] image::ImageError),
Image(#[from] IError),
#[error("EXR file error: {0}")]
Exr(#[from] exr::error::Error),

1776
src/utils/image.rs
View file

File diff suppressed because it is too large Load diff

2
src/utils/interval.rs
View file

@ -58,7 +58,7 @@ impl Interval {
low: 0.0,
high: next_float_up((-self.low).max(self.high)),
}
}
}
}
impl Default for Interval {

171
src/utils/math.rs
View file

@ -12,6 +12,7 @@ use num_traits::{Float as NumFloat, Num, One, Signed, Zero};
use rayon::prelude::*;
use std::error::Error;
use std::fmt::{self, Display};
use std::iter::{Product, Sum};
use std::mem;
use std::ops::{Add, Div, Index, IndexMut, Mul, Neg, Rem};
@ -49,7 +50,7 @@ where
let cd = c * d;
let difference_of_products = fma(a, b, -cd);
let error = fma(-c, d, cd);
return difference_of_products + error;
difference_of_products + error
}
#[inline]
@ -60,7 +61,7 @@ where
let cd = c * d;
let sum_of_products = fma(a, b, cd);
let error = fma(c, d, -cd);
return sum_of_products + error;
sum_of_products + error
}
#[inline]
@ -82,7 +83,7 @@ pub fn safe_asin<T: NumFloat>(x: T) -> T {
#[inline]
pub fn safe_acos(x: Float) -> Float {
if x >= -1.0001 && x <= 1.0001 {
if (-1.001..1.001).contains(&x) {
clamp_t(x, -1., 1.).asin()
} else {
panic!("Not valid value for acos")
@ -94,12 +95,12 @@ pub fn sinx_over_x(x: Float) -> Float {
if 1. - x * x == 1. {
return 1.;
}
return x.sin() / x;
x.sin() / x
}
#[inline]
pub fn sinc(x: Float) -> Float {
return sinx_over_x(PI * x);
sinx_over_x(PI * x)
}
#[inline]
@ -107,7 +108,7 @@ pub fn windowed_sinc(x: Float, radius: Float, tau: Float) -> Float {
if x.abs() > radius {
return 0.;
}
return sinc(x) * sinc(x / tau);
sinc(x) * sinc(x / tau)
}
#[inline]
@ -284,11 +285,11 @@ pub fn equal_area_square_to_sphere(p: Point2f) -> Vector3f {
// Compute $\cos\phi$ and $\sin\phi$ for original quadrant and return vector
let cos_phi = phi.cos().copysign(u);
let sin_phi = phi.sin().copysign(v);
return Vector3f::new(
Vector3f::new(
cos_phi * r * (2. - square(r)).sqrt(),
sin_phi * r * (2. - square(r)).sqrt(),
z,
);
)
}
pub fn gaussian(x: Float, y: Float, sigma: Float) -> Float {
@ -420,9 +421,9 @@ pub fn sample_tent(u: Float, r: Float) -> Float {
let offset = sample_discrete(&[0.5, 0.5], u, None, Some(&mut u_remapped))
.expect("Discrete sampling shouldn't fail");
if offset == 0 {
return -r + r * sample_linear(u, 0., 1.);
-r + r * sample_linear(u, 0., 1.)
} else {
return r * sample_linear(u, 1., 0.);
r * sample_linear(u, 1., 0.)
}
}
@ -589,14 +590,14 @@ impl DigitPermutation {
inv_base_m *= inv_base;
}
let mut permutations = vec![0u16; (n_digits * base) as usize];
let mut permutations = vec![0u16; n_digits * base];
for digit_index in 0..n_digits {
let hash_input = [base as u64, digit_index as u64, seed as u64];
let hash_input = [base as u64, digit_index as u64, seed];
let dseed = hash_buffer(&hash_input, 0);
for digit_value in 0..base {
let index = (digit_index * base + digit_value) as usize;
let index = digit_index * base + digit_value;
permutations[index] =
permutation_element(digit_value as u32, base as u32, dseed as u32) as u16;
@ -870,7 +871,7 @@ pub fn sobol_sample<S: Scrambler>(mut a: u64, dimension: usize, randomizer: S) -
while a != 0 {
if (a & 1) != 0 {
v ^= SOBOL_MATRICES_32[i] as u32;
v ^= SOBOL_MATRICES_32[i];
}
a >>= 1;
i += 1;
@ -1059,6 +1060,7 @@ impl<T: Display, const R: usize, const C: usize> Display for Matrix<T, R, C> {
for i in 0..R {
write!(f, "[")?;
#[allow(clippy::needless_range_loop)]
for j in 0..C {
write!(f, "{: >width$} ", self.m[i][j], width = col_widths[j])?;
}
@ -1091,11 +1093,11 @@ impl<T, const N: usize> SquareMatrix<T, N> {
where
T: Copy + Zero + One,
{
let mut m = [[T::zero(); N]; N];
for i in 0..N {
m[i][i] = T::one();
Self {
m: std::array::from_fn(|i| {
std::array::from_fn(|j| if i == j { T::one() } else { T::zero() })
}),
}
Self { m }
}
pub fn diag(v: &[T]) -> Self
@ -1139,7 +1141,10 @@ impl<T, const N: usize> SquareMatrix<T, N> {
}
}
impl<T: NumFloat + Copy + PartialEq, const N: usize> SquareMatrix<T, N> {
impl<T, const N: usize> SquareMatrix<T, N>
where
T: NumFloat + Sum + Product + Copy,
{
pub fn inverse(&self) -> Result<Self, InversionError> {
if N == 0 {
return Err(InversionError::EmptyMatrix);
@ -1149,12 +1154,9 @@ impl<T: NumFloat + Copy + PartialEq, const N: usize> SquareMatrix<T, N> {
let mut inv = Self::identity();
for i in 0..N {
let mut pivot_row = i;
for j in (i + 1)..N {
if mat[j][i].abs() > mat[pivot_row][i].abs() {
pivot_row = j;
}
}
let pivot_row = (i..N)
.max_by(|&a, &b| mat[a][i].abs().partial_cmp(&mat[b][i].abs()).unwrap())
.unwrap_or(i);
if pivot_row != i {
mat.swap(i, pivot_row);
@ -1166,20 +1168,19 @@ impl<T: NumFloat + Copy + PartialEq, const N: usize> SquareMatrix<T, N> {
return Err(InversionError::SingularMatrix);
}
for j in i..N {
mat[i][j] = mat[i][j] / pivot;
}
for j in 0..N {
inv.m[i][j] = inv.m[i][j] / pivot;
}
let inv_pivot = T::one() / pivot;
mat[i][i..].iter_mut().for_each(|x| *x = *x * inv_pivot);
inv[i].iter_mut().for_each(|x| *x = *x * inv_pivot);
for j in 0..N {
if i != j {
let factor = mat[j][i];
#[allow(clippy::needless_range_loop)]
for k in i..N {
mat[j][k] = mat[j][k] - factor * mat[i][k];
}
#[allow(clippy::needless_range_loop)]
for k in 0..N {
inv.m[j][k] = inv.m[j][k] - factor * inv.m[i][k];
}
@ -1237,12 +1238,9 @@ impl<T: NumFloat + Copy + PartialEq, const N: usize> SquareMatrix<T, N> {
let mut parity = 0;
for i in 0..N {
let mut max_row = i;
for k in (i + 1)..N {
if lum[k][i].abs() > lum[max_row][i].abs() {
max_row = k;
}
}
let max_row = (i..N)
.max_by(|&a, &b| lum[a][i].abs().partial_cmp(&lum[b][i].abs()).unwrap())
.unwrap_or(i);
if max_row != i {
lum.swap(i, max_row);
@ -1257,22 +1255,17 @@ impl<T: NumFloat + Copy + PartialEq, const N: usize> SquareMatrix<T, N> {
// Gaussian elimination
for j in (i + 1)..N {
let factor = lum[j][i] / lum[i][i];
#[allow(clippy::needless_range_loop)]
for k in i..N {
lum[j][k] = lum[j][k] - factor * lum[i][k];
let val_i = lum[i][k];
lum[j][k] = lum[j][k] - factor * val_i;
}
}
}
let mut det = T::one();
for i in 0..N {
det = det * lum[i][i];
}
if parity % 2 != 0 {
det = -det;
}
det
let det: T = (0..N).map(|i| lum[i][i]).product();
if parity < 0 { -det } else { det }
}
}
}
@ -1292,81 +1285,25 @@ impl<T, const N: usize> IndexMut<usize> for SquareMatrix<T, N> {
}
}
impl<T: Num + Copy, const N: usize> Mul<Vector<T, N>> for SquareMatrix<T, N> {
impl<T, const N: usize> Mul<Vector<T, N>> for SquareMatrix<T, N>
where
T: Copy + Mul<Output = T> + Sum + Default,
{
type Output = Vector<T, N>;
fn mul(self, rhs: Vector<T, N>) -> Self::Output {
let mut result_arr = [T::zero(); N];
for i in 0..N {
for j in 0..N {
result_arr[i] = result_arr[i] + self.m[i][j] * rhs.0[j];
}
}
Vector(result_arr)
let arr = std::array::from_fn(|i| self.m[i].iter().zip(&rhs.0).map(|(m, v)| *m * *v).sum());
Vector(arr)
}
}
impl<T: Num + Copy, const N: usize> Mul<Point<T, N>> for SquareMatrix<T, N> {
impl<T, const N: usize> Mul<Point<T, N>> for SquareMatrix<T, N>
where
T: Copy + Mul<Output = T> + Sum + Default,
{
type Output = Point<T, N>;
fn mul(self, rhs: Point<T, N>) -> Self::Output {
let mut result_arr = [T::zero(); N];
for i in 0..N {
for j in 0..N {
result_arr[i] = result_arr[i] + self.m[i][j] * rhs.0[j];
}
}
Point(result_arr)
}
}
impl SquareMatrix<Float, 3> {
pub fn transform_to_xyz(&self, rgb: RGB) -> XYZ {
let r = rgb[0];
let g = rgb[1];
let b = rgb[2];
let x = self.m[0][0] * r + self.m[0][1] * g + self.m[0][2] * b;
let y = self.m[1][0] * r + self.m[1][1] * g + self.m[1][2] * b;
let z = self.m[2][0] * r + self.m[2][1] * g + self.m[2][2] * b;
XYZ::new(x, y, z)
}
pub fn transform_to_rgb(&self, xyz: XYZ) -> RGB {
let x = xyz[0];
let y = xyz[1];
let z = xyz[2];
let r = self.m[0][0] * x + self.m[0][1] * y + self.m[0][2] * z;
let g = self.m[1][0] * x + self.m[1][1] * y + self.m[1][2] * z;
let b = self.m[2][0] * x + self.m[2][1] * y + self.m[2][2] * z;
RGB::new(r, g, b)
}
}
impl Mul<XYZ> for SquareMatrix<Float, 3> {
type Output = XYZ;
fn mul(self, rhs: XYZ) -> Self::Output {
let mut result_arr = [0.0; 3];
for i in 0..3 {
for j in 0..3 {
result_arr[i] = result_arr[i] + self.m[i][j] * rhs[j];
}
}
XYZ::new(result_arr[0], result_arr[1], result_arr[2])
}
}
impl Mul<RGB> for SquareMatrix<Float, 3> {
type Output = RGB;
fn mul(self, rhs: RGB) -> Self::Output {
let mut result_arr = [0.0; 3];
for i in 0..3 {
for j in 0..3 {
result_arr[i] = result_arr[i] + self.m[i][j] * rhs[j];
}
}
RGB::new(result_arr[0], result_arr[1], result_arr[2])
let arr = std::array::from_fn(|i| self.m[i].iter().zip(&rhs.0).map(|(m, v)| *m * *v).sum());
Point(arr)
}
}

1
src/utils/mesh.rs
View file

@ -19,6 +19,7 @@ pub struct TriangleMesh {
}
impl TriangleMesh {
#[allow(clippy::too_many_arguments)]
pub fn new(
render_from_object: &Transform<Float>,
reverse_orientation: bool,

260
src/utils/mipmap.rs Normal file
View file

@ -0,0 +1,260 @@
use crate::core::pbrt::{Float, lerp};
use crate::geometry::{Lerp, Point2f, Point2i, Vector2f, VectorLike};
use crate::image::{Image, PixelData, PixelFormat, WrapMode, WrapMode2D};
use crate::utils::color::RGB;
use crate::utils::colorspace::RGBColorSpace;
use std::hash::{Hash, Hasher};
use std::ops::{Add, Mul, Sub};
use std::sync::Arc;
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
pub enum FilterFunction {
Point,
Bilinear,
Trilinear,
Ewa,
}
impl std::fmt::Display for FilterFunction {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
let s = match self {
FilterFunction::Ewa => "EWA",
FilterFunction::Trilinear => "trilinear",
FilterFunction::Bilinear => "bilinear",
FilterFunction::Point => "point",
};
write!(f, "{}", s)
}
}
#[derive(Debug, Clone, Copy)]
pub struct MIPMapFilterOptions {
pub filter: FilterFunction,
pub max_anisotropy: f32,
}
impl Default for MIPMapFilterOptions {
fn default() -> Self {
Self {
filter: FilterFunction::Ewa,
max_anisotropy: 8.0,
}
}
}
impl PartialEq for MIPMapFilterOptions {
fn eq(&self, other: &Self) -> bool {
self.filter == other.filter
&& self.max_anisotropy.to_bits() == other.max_anisotropy.to_bits()
}
}
impl Eq for MIPMapFilterOptions {}
impl Hash for MIPMapFilterOptions {
fn hash<H: Hasher>(&self, state: &mut H) {
self.filter.hash(state);
// Hash the bits, not the float value
self.max_anisotropy.to_bits().hash(state);
}
}
pub trait MIPMapSample:
Copy + Add<Output = Self> + Sub<Output = Self> + Mul<Float, Output = Self> + std::fmt::Debug
{
fn zero() -> Self;
fn sample_bilerp(image: &Image, st: Point2f, wrap: WrapMode2D) -> Self;
fn sample_texel(image: &Image, st: Point2i, wrap: WrapMode2D) -> Self;
}
impl MIPMapSample for Float {
fn zero() -> Self {
0.
}
fn sample_bilerp(image: &Image, st: Point2f, wrap: WrapMode2D) -> Self {
image.bilerp_channel(st, 0, wrap)
}
fn sample_texel(image: &Image, st: Point2i, wrap: WrapMode2D) -> Self {
image.get_channel(st, 0, wrap)
}
}
impl MIPMapSample for RGB {
fn zero() -> Self {
RGB::new(0., 0., 0.)
}
fn sample_bilerp(image: &Image, st: Point2f, wrap: WrapMode2D) -> Self {
let nc = image.n_channels();
if nc >= 3 {
let r = image.bilerp_channel(st, 0, wrap);
let g = image.bilerp_channel(st, 1, wrap);
let b = image.bilerp_channel(st, 2, wrap);
RGB::new(r, g, b)
} else {
let v = image.bilerp_channel(st, 0, wrap);
RGB::new(v, v, v)
}
}
fn sample_texel(image: &Image, st: Point2i, wrap: WrapMode2D) -> Self {
let nc = image.n_channels();
if nc >= 3 {
let r = image.get_channel(st, 0, wrap);
let g = image.get_channel(st, 1, wrap);
let b = image.get_channel(st, 2, wrap);
RGB::new(r, g, b)
} else {
let v = image.get_channel(st, 0, wrap);
RGB::new(v, v, v)
}
}
}
#[derive(Debug)]
pub struct MIPMap {
pyramid: Vec<Image>,
color_space: Arc<RGBColorSpace>,
wrap_mode: WrapMode,
options: MIPMapFilterOptions,
}
impl MIPMap {
pub fn new(
image: Image,
color_space: Arc<RGBColorSpace>,
wrap_mode: WrapMode,
options: MIPMapFilterOptions,
) -> Self {
let pyramid = Image::generate_pyramid(image, wrap_mode);
Self {
pyramid,
color_space,
wrap_mode,
options,
}
}
pub fn level_resolution(&self, level: usize) -> Point2i {
self.pyramid[level].resolution()
}
pub fn levels(&self) -> usize {
self.pyramid.len()
}
pub fn get_rgb_colorspace(&self) -> Arc<RGBColorSpace> {
self.color_space.clone()
}
pub fn get_level(&self, level: usize) -> &Image {
&self.pyramid[level]
}
pub fn filter<T: MIPMapSample>(
&self,
st: Point2f,
mut dst0: Vector2f,
mut dst1: Vector2f,
) -> T {
if self.options.filter != FilterFunction::Ewa {
// Compute largest change in texture coordinates
let width = 2.0
* [
dst0.x().abs(),
dst0.y().abs(),
dst1.x().abs(),
dst1.y().abs(),
]
.into_iter()
.reduce(Float::max)
.unwrap_or(0.0);
// Compute MIP Map level
// n_levels - 1 + log2(width) maps width=1.0 to the top level (1x1)
let n_levels = self.levels() as Float;
let level = n_levels - 1.0 + width.max(1e-8).log2();
// Handle very wide filter (return the 1x1 average pixel)
if level >= n_levels - 1.0 {
return self.texel(self.levels() - 1, Point2i::new(0, 0));
}
let i_level = level.floor() as usize;
return match self.options.filter {
FilterFunction::Point => {
// Nearest Neighbor
let resolution = self.level_resolution(i_level);
let sti = Point2i::new(
(st.x() * resolution.x() as Float - 0.5).round() as i32,
(st.y() * resolution.y() as Float - 0.5).round() as i32,
);
self.texel(i_level, sti)
}
FilterFunction::Bilinear => self.bilerp(i_level, st),
FilterFunction::Trilinear => {
// Interpolate between current level and next level
let v0 = self.bilerp(i_level, st);
let v1 = self.bilerp(i_level + 1, st);
let t = level - i_level as Float;
lerp(t, v0, v1)
}
FilterFunction::Ewa => unreachable!(),
};
}
if dst0.norm_squared() < dst1.norm_squared() {
std::mem::swap(&mut dst0, &mut dst1);
}
let longer_len = dst0.norm();
let mut shorter_len = dst1.norm();
// If the ellipse is too thin, we fatten the minor axis to limit the number
// of texels we have to filter, trading accuracy for performance/cache hits.
if shorter_len * self.options.max_anisotropy < longer_len && shorter_len > 0.0 {
let scale = longer_len / (shorter_len * self.options.max_anisotropy);
dst1 *= scale;
shorter_len *= scale;
}
if shorter_len == 0.0 {
return self.bilerp(0, st);
}
// EWA also interpolates between two MIP levels, but does complex filtering on both.
let lod = (self.levels() as Float - 1.0 + shorter_len.log2()).max(0.0);
let ilod = lod.floor() as usize;
let v0 = self.ewa(ilod, st, dst0, dst1);
let v1 = self.ewa(ilod + 1, st, dst0, dst1);
lerp(lod - ilod as Float, v0, v1)
}
fn texel<T: MIPMapSample>(&self, _level: usize, _st: Point2i) -> T {
todo!()
}
fn bilerp<T: MIPMapSample>(&self, level: usize, st: Point2f) -> T {
let image = &self.pyramid[level];
let wrap_2d = WrapMode2D {
uv: [self.wrap_mode; 2],
};
T::sample_bilerp(image, st, wrap_2d)
}
fn ewa<T: MIPMapSample>(
&self,
_scale: usize,
_st: Point2f,
_dst0: Vector2f,
_dst1: Vector2f,
) -> T {
todo!()
}
}

3
src/utils/mod.rs
View file

@ -3,16 +3,15 @@ pub mod colorspace;
pub mod containers;
pub mod error;
pub mod hash;
pub mod image;
pub mod interval;
pub mod math;
pub mod mesh;
pub mod mipmap;
pub mod quaternion;
pub mod rng;
pub mod sampling;
pub mod scattering;
pub mod sobol;
pub mod spectrum;
pub mod splines;
pub mod transform;

8
src/utils/quaternion.rs
View file

@ -134,17 +134,17 @@ impl Quaternion {
#[inline]
pub fn angle_between(&self, rhs: Quaternion) -> Float {
if self.dot(rhs) < 0.0 {
return PI - 2. * safe_asin((self.v + rhs.v).norm() / 2.);
PI - 2. * safe_asin((self.v + rhs.v).norm() / 2.)
} else {
return 2. * safe_asin((rhs.v - self.v).norm() / 2.);
2. * safe_asin((rhs.v - self.v).norm() / 2.)
}
}
pub fn slerp(t: Float, q1: Quaternion, q2: Quaternion) -> Quaternion {
let theta = q1.angle_between(q2);
let sin_theta_over_theta = sinx_over_x(theta);
return q1 * (1. - t) * sinx_over_x((1. - t) * theta) / sin_theta_over_theta
+ q2 * t * sinx_over_x(t * theta) / sin_theta_over_theta;
q1 * (1. - t) * sinx_over_x((1. - t) * theta) / sin_theta_over_theta
+ q2 * t * sinx_over_x(t * theta) / sin_theta_over_theta
}
pub fn length(&self) -> Float {

33
src/utils/sampling.rs
View file

@ -289,12 +289,11 @@ pub fn invert_spherical_rectangle_sample(
let hv = [lerp(u1[0], h0, h1), lerp(u1[1], h0, h1)];
let hvsq = [square(hv[0]), square(hv[1])];
let yz = [(hv[0] * dd) / (1. - hvsq[0]), (hv[1] * dd) / (1. - hvsq[1])];
let u = if (yz[0] - yv).abs() < (yz[1] - yv).abs() {
if (yz[0] - yv).abs() < (yz[1] - yv).abs() {
Point2f::new(clamp_t(u0, 0., 1.), u1[0])
} else {
Point2f::new(clamp_t(u0, 0., 1.), u1[1])
};
u
}
}
pub fn sample_spherical_triangle(
@ -552,13 +551,13 @@ impl PiecewiseConstant1D {
let func_integral = cdf[n];
if func_integral == 0. {
for i in 1..=n {
cdf[i] = i as Float / n as Float;
}
let n_float = n as Float;
cdf.iter_mut()
.enumerate()
.for_each(|(i, c)| *c = i as Float / n_float);
} else {
for i in 1..=n {
cdf[i] /= func_integral;
}
let inv_integral = 1.0 / func_integral;
cdf.iter_mut().for_each(|c| *c *= inv_integral);
}
Self {
@ -629,7 +628,7 @@ impl PiecewiseConstant2D {
}
pub fn new_with_bounds(data: &Array2D<Float>, domain: Bounds2f) -> Self {
Self::new(data, data.x_size() as usize, data.y_size() as usize, domain)
Self::new(data, data.x_size(), data.y_size(), domain)
}
pub fn new_with_data(data: &Array2D<Float>, nx: usize, ny: usize) -> Self {
@ -1047,14 +1046,16 @@ impl<const N: usize> PiecewiseLinear2D<N> {
for mask in 0..num_corners {
let mut offset = 0u32;
let mut weight: Float = 1.0;
for d in 0..N {
let bit = (mask >> d) & 1;
if bit == 1 {
offset += self.param_strides[d] * size;
weight *= param_weight[d].1;
let mut current_mask = mask;
for (weights, &stride) in param_weight.iter().zip(&self.param_strides) {
if (current_mask & 1) == 1 {
offset += stride * size;
weight *= weights.1;
} else {
weight *= param_weight[d].0;
weight *= weights.0;
}
current_mask >>= 1;
}
result += weight * data[(i0 + offset) as usize];
}

4
src/utils/scattering.rs
View file

@ -1,11 +1,11 @@
use super::math::safe_sqrt;
use super::sampling::sample_uniform_disk_polar;
use super::spectrum::{N_SPECTRUM_SAMPLES, SampledSpectrum};
use crate::core::pbrt::{Float, PI, clamp_t, lerp};
use crate::geometry::{
Normal3f, Point2f, Vector2f, Vector3f, VectorLike, abs_cos_theta, cos_phi, cos2_theta, sin_phi,
tan2_theta,
};
use crate::spectra::{N_SPECTRUM_SAMPLES, SampledSpectrum};
use crate::utils::math::square;
use num::complex::Complex;
@ -151,7 +151,7 @@ pub fn fr_dielectric(cos_theta_i: Float, eta: Float) -> Float {
pub fn fr_complex(cos_theta_i: Float, eta: Complex<Float>) -> Float {
let cos_corr = clamp_t(cos_theta_i, 0., 1.);
let sin2_theta_i = 1. - square(cos_corr);
let sin2_theta_t: Complex<Float> = (sin2_theta_i / square(eta)).into();
let sin2_theta_t: Complex<Float> = sin2_theta_i / square(eta);
let cos2_theta_t: Complex<Float> = (1. - sin2_theta_t).sqrt();
let r_parl = (eta * cos_corr - cos2_theta_t) / (eta * cos_corr + cos2_theta_t);

16382
src/utils/sobol.rs
View file

File diff suppressed because it is too large Load diff

789
src/utils/spectrum.rs
View file

@ -1,789 +0,0 @@
use once_cell::sync::Lazy;
use std::fmt;
use std::ops::{
Add, AddAssign, Div, DivAssign, Index, IndexMut, Mul, MulAssign, Neg, Sub, SubAssign,
};
use std::sync::Arc;
use super::color::{RGB, RGBSigmoidPolynomial, XYZ};
use super::colorspace::RGBColorspace;
use crate::core::cie;
use crate::core::pbrt::Float;
pub const CIE_Y_INTEGRAL: Float = 106.856895;
pub const N_SPECTRUM_SAMPLES: usize = 1200;
pub const LAMBDA_MIN: i32 = 360;
pub const LAMBDA_MAX: i32 = 830;
#[derive(Debug, Copy, Clone)]
pub struct SampledSpectrum {
values: [Float; N_SPECTRUM_SAMPLES],
}
impl Default for SampledSpectrum {
fn default() -> Self {
Self {
values: [0.0; N_SPECTRUM_SAMPLES],
}
}
}
impl SampledSpectrum {
pub fn new(c: Float) -> Self {
Self {
values: [c; N_SPECTRUM_SAMPLES],
}
}
pub fn from_vector(v: Vec<Float>) -> Self {
let mut s = Self::new(0.0);
for i in 0..N_SPECTRUM_SAMPLES {
s.values[i] = v[i];
}
s
}
pub fn is_black(&self) -> bool {
self.values.iter().all(|&sample| sample == 0.0)
}
pub fn has_nans(&self) -> bool {
self.values.iter().any(|&v| v.is_nan())
}
pub fn min_component_value(&self) -> Float {
self.values.iter().fold(Float::INFINITY, |a, &b| a.min(b))
}
pub fn max_component_value(&self) -> Float {
self.values
.iter()
.fold(Float::NEG_INFINITY, |a, &b| a.max(b))
}
pub fn average(&self) -> Float {
self.values.iter().sum::<Float>() / (N_SPECTRUM_SAMPLES as Float)
}
pub fn safe_div(&self, rhs: SampledSpectrum) -> Self {
let mut r = SampledSpectrum::new(0.0);
for i in 0..N_SPECTRUM_SAMPLES {
r.values[i] = if rhs[i] != 0.0 {
self.values[i] / rhs.values[i]
} else {
0.0
}
}
r
}
pub fn to_xyz(&self, lambda: &SampledWavelengths) -> XYZ {
let x = spectra::X.sample(lambda);
let y = spectra::Y.sample(lambda);
let z = spectra::Z.sample(lambda);
let pdf = lambda.pdf();
XYZ::new(
(*self * x).safe_div(pdf).average(),
(*self * y).safe_div(pdf).average(),
(*self * z).safe_div(pdf).average(),
) / CIE_Y_INTEGRAL
}
pub fn to_rgb(&self, lambda: &SampledWavelengths, c: &RGBColorspace) -> RGB {
let xyz = self.to_xyz(lambda);
c.to_rgb(xyz)
}
pub fn exp(&self) -> SampledSpectrum {
let values = self.values.map(|v| v.exp());
let ret = Self { values };
debug_assert!(!ret.has_nans());
ret
}
pub fn pow_int(&self, mut power: usize) -> Self {
let mut result = Self::new(1.0);
let mut base = *self;
while power > 0 {
if power % 2 == 1 {
result = result * base;
}
base = base * base;
power /= 2;
}
result
}
}
impl Index<usize> for SampledSpectrum {
type Output = Float;
fn index(&self, i: usize) -> &Self::Output {
&self.values[i]
}
}
impl IndexMut<usize> for SampledSpectrum {
fn index_mut(&mut self, i: usize) -> &mut Self::Output {
&mut self.values[i]
}
}
impl Add for SampledSpectrum {
type Output = Self;
fn add(self, rhs: Self) -> Self {
let mut ret = self;
for i in 0..N_SPECTRUM_SAMPLES {
ret.values[i] += rhs.values[i];
}
ret
}
}
impl AddAssign for SampledSpectrum {
fn add_assign(&mut self, rhs: Self) {
for i in 0..N_SPECTRUM_SAMPLES {
self.values[i] += rhs.values[i];
}
}
}
impl Sub for SampledSpectrum {
type Output = Self;
fn sub(self, rhs: Self) -> Self {
let mut ret = self;
for i in 0..N_SPECTRUM_SAMPLES {
ret.values[i] -= rhs.values[i];
}
ret
}
}
impl SubAssign for SampledSpectrum {
fn sub_assign(&mut self, rhs: Self) {
for i in 0..N_SPECTRUM_SAMPLES {
self.values[i] -= rhs.values[i];
}
}
}
impl Sub<SampledSpectrum> for Float {
type Output = SampledSpectrum;
fn sub(self, rhs: SampledSpectrum) -> SampledSpectrum {
let mut ret = SampledSpectrum::new(0.0);
for i in 0..N_SPECTRUM_SAMPLES {
ret.values[i] = self - rhs.values[i];
}
ret
}
}
impl Mul for SampledSpectrum {
type Output = Self;
fn mul(self, rhs: Self) -> Self {
let mut ret = self;
for i in 0..N_SPECTRUM_SAMPLES {
ret.values[i] *= rhs.values[i];
}
ret
}
}
impl MulAssign for SampledSpectrum {
fn mul_assign(&mut self, rhs: Self) {
for i in 0..N_SPECTRUM_SAMPLES {
self.values[i] *= rhs.values[i];
}
}
}
impl Mul<Float> for SampledSpectrum {
type Output = Self;
fn mul(self, rhs: Float) -> Self {
let mut ret = self;
for i in 0..N_SPECTRUM_SAMPLES {
ret.values[i] *= rhs;
}
ret
}
}
impl Mul<SampledSpectrum> for Float {
type Output = SampledSpectrum;
fn mul(self, rhs: SampledSpectrum) -> SampledSpectrum {
rhs * self
}
}
impl MulAssign<Float> for SampledSpectrum {
fn mul_assign(&mut self, rhs: Float) {
for i in 0..N_SPECTRUM_SAMPLES {
self.values[i] *= rhs;
}
}
}
impl DivAssign for SampledSpectrum {
fn div_assign(&mut self, rhs: Self) {
for i in 0..N_SPECTRUM_SAMPLES {
debug_assert_ne!(0.0, rhs.values[i]);
self.values[i] /= rhs.values[i];
}
}
}
impl Div for SampledSpectrum {
type Output = Self;
fn div(self, rhs: Self) -> Self::Output {
let mut ret = self;
ret /= rhs;
ret
}
}
impl Div<Float> for SampledSpectrum {
type Output = Self;
fn div(self, rhs: Float) -> Self::Output {
debug_assert_ne!(rhs, 0.0);
let mut ret = self;
for i in 0..N_SPECTRUM_SAMPLES {
ret.values[i] /= rhs;
}
ret
}
}
impl DivAssign<Float> for SampledSpectrum {
fn div_assign(&mut self, rhs: Float) {
debug_assert_ne!(rhs, 0.0);
for i in 0..N_SPECTRUM_SAMPLES {
self.values[i] /= rhs;
}
}
}
impl Neg for SampledSpectrum {
type Output = Self;
fn neg(self) -> Self::Output {
let mut ret = SampledSpectrum::new(0.0);
for i in 0..N_SPECTRUM_SAMPLES {
ret.values[i] = -self.values[i];
}
ret
}
}
#[derive(Debug, Copy, Clone, PartialEq)]
pub struct SampledWavelengths {
pub lambda: [Float; N_SPECTRUM_SAMPLES],
pub pdf: [Float; N_SPECTRUM_SAMPLES],
}
impl SampledWavelengths {
pub fn pdf(&self) -> SampledSpectrum {
SampledSpectrum::from_vector(self.pdf.to_vec())
}
pub fn secondary_terminated(&self) -> bool {
for i in 1..N_SPECTRUM_SAMPLES {
if self.pdf[i] != 0.0 {
return false;
}
}
true
}
pub fn terminate_secondary(&mut self) {
if !self.secondary_terminated() {
for i in 1..N_SPECTRUM_SAMPLES {
self.pdf[i] = 0.0;
}
self.pdf[0] /= N_SPECTRUM_SAMPLES as Float;
}
}
pub fn sample_uniform(u: Float, lambda_min: Float, lambda_max: Float) -> Self {
let mut lambda = [0.0; N_SPECTRUM_SAMPLES];
lambda[0] = crate::core::pbrt::lerp(u, lambda_min, lambda_min);
let delta = (lambda_max - lambda_min) / N_SPECTRUM_SAMPLES as Float;
for i in 1..N_SPECTRUM_SAMPLES {
lambda[i] = lambda[i - 1] + delta;
if lambda[i] > lambda_max {
lambda[i] = lambda_min + (lambda[i] - lambda_max);
}
}
let mut pdf = [0.0; N_SPECTRUM_SAMPLES];
for i in 0..N_SPECTRUM_SAMPLES {
pdf[i] = 1.0 / (lambda_max - lambda_min);
}
Self { lambda, pdf }
}
pub fn sample_visible_wavelengths(u: Float) -> Float {
538.0 - 138.888889 * Float::atanh(0.85691062 - 1.82750197 * u)
}
pub fn visible_wavelengths_pdf(lambda: Float) -> Float {
if lambda < 360.0 || lambda > 830.0 {
return 0.0;
}
0.0039398042 / (Float::cosh(0.0072 * (lambda - 538.0))).sqrt()
}
pub fn sample_visible(u: Float) -> Self {
let mut lambda = [0.0; N_SPECTRUM_SAMPLES];
let mut pdf = [0.0; N_SPECTRUM_SAMPLES];
for i in 0..N_SPECTRUM_SAMPLES {
let mut up = u + i as Float / N_SPECTRUM_SAMPLES as Float;
if up > 1.0 {
up -= 1.0;
}
lambda[i] = Self::sample_visible_wavelengths(up);
pdf[i] = Self::visible_wavelengths_pdf(lambda[i]);
}
Self { lambda, pdf }
}
}
impl Index<usize> for SampledWavelengths {
type Output = Float;
fn index(&self, i: usize) -> &Self::Output {
&self.lambda[i]
}
}
impl IndexMut<usize> for SampledWavelengths {
fn index_mut(&mut self, i: usize) -> &mut Self::Output {
&mut self.lambda[i]
}
}
#[derive(Debug, Clone)]
pub enum Spectrum {
Constant(ConstantSpectrum),
DenselySampled(DenselySampledSpectrum),
PiecewiseLinear(PiecewiseLinearSpectrum),
Blackbody(BlackbodySpectrum),
RGBAlbedo(RGBAlbedoSpectrum),
}
impl Spectrum {
pub fn std_illuminant_d65() -> Self {
todo!()
}
pub fn sample_at(&self, lambda: Float) -> Float {
match self {
Spectrum::Constant(s) => s.sample_at(lambda),
Spectrum::DenselySampled(s) => s.sample_at(lambda),
Spectrum::PiecewiseLinear(s) => s.sample_at(lambda),
Spectrum::Blackbody(s) => s.sample_at(lambda),
Spectrum::RGBAlbedo(s) => s.sample_at(lambda),
}
}
pub fn max_value(&self) -> Float {
match self {
Spectrum::Constant(_s) => 0.0,
Spectrum::DenselySampled(_s) => 0.0,
Spectrum::PiecewiseLinear(_s) => 0.0,
Spectrum::Blackbody(_s) => 0.0,
Spectrum::RGBAlbedo(s) => s.max_value(),
}
}
pub fn sample(&self, wavelengths: &SampledWavelengths) -> SampledSpectrum {
let mut s = SampledSpectrum::default();
for i in 0..N_SPECTRUM_SAMPLES {
s[i] = self.sample_at(wavelengths[i]);
}
s
}
pub fn to_xyz(&self) -> XYZ {
XYZ::new(
inner_product(&spectra::X, self),
inner_product(&spectra::Y, self),
inner_product(&spectra::Z, self),
) / CIE_Y_INTEGRAL
}
}
pub fn inner_product(f: &Spectrum, g: &Spectrum) -> Float {
let mut integral = 0.0;
for lambda in LAMBDA_MIN..=LAMBDA_MAX {
integral += f.sample_at(lambda as f32) * g.sample_at(lambda as f32);
}
integral
}
#[derive(Debug, Clone, Copy)]
pub struct ConstantSpectrum {
c: Float,
}
impl ConstantSpectrum {
pub fn new(c: Float) -> Self {
Self { c }
}
pub fn sample_at(&self, _lambda: Float) -> Float {
self.c
}
fn max_value(&self) -> Float {
self.c
}
}
#[derive(Debug, Clone, Copy)]
pub struct RGBAlbedoSpectrum {
rsp: RGBSigmoidPolynomial,
}
impl RGBAlbedoSpectrum {
pub fn new(cs: &RGBColorspace, rgb: RGB) -> Self {
Self {
rsp: cs.to_rgb_coeffs(rgb),
}
}
pub fn sample_at(&self, lambda: Float) -> Float {
self.rsp.evaluate(lambda)
}
pub fn max_value(&self) -> Float {
self.rsp.max_value()
}
fn sample(&self, lambda: &SampledWavelengths) -> SampledSpectrum {
let mut s = SampledSpectrum::default();
for i in 0..N_SPECTRUM_SAMPLES {
s[i] = self.rsp.evaluate(lambda[i]);
}
s
}
}
#[derive(Debug, Clone, Copy)]
pub struct UnboundedRGBSpectrum {
scale: Float,
rsp: RGBSigmoidPolynomial,
}
impl UnboundedRGBSpectrum {
pub fn new(cs: RGBColorspace, rgb: RGB) -> Self {
let m = rgb.r.max(rgb.g).max(rgb.b);
let scale = 2.0 * m;
let scaled_rgb = if scale != 0.0 {
rgb / scale
} else {
RGB::new(0.0, 0.0, 0.0)
};
Self {
scale,
rsp: cs.to_rgb_coeffs(scaled_rgb),
}
}
pub fn sample_at(&self, lambda: Float) -> Float {
self.scale * self.rsp.evaluate(lambda)
}
pub fn max_value(&self) -> Float {
self.scale * self.rsp.max_value()
}
}
#[derive(Debug, Clone, Default)]
pub struct RGBIlluminantSpectrum {
scale: Float,
rsp: RGBSigmoidPolynomial,
illuminant: Option<Arc<DenselySampledSpectrum>>,
}
impl RGBIlluminantSpectrum {
pub fn sample_at(&self, lambda: Float) -> Float {
match &self.illuminant {
Some(illuminant) => {
self.scale * self.rsp.evaluate(lambda) * illuminant.sample_at(lambda)
}
None => 0.0,
}
}
pub fn max_value(&self) -> Float {
match &self.illuminant {
Some(illuminant) => self.scale * self.rsp.max_value() * illuminant.max_value(),
None => 0.0,
}
}
}
#[derive(Debug, Clone)]
pub struct DenselySampledSpectrum {
lambda_min: i32,
lambda_max: i32,
values: Vec<Float>,
}
impl DenselySampledSpectrum {
pub fn new(lambda_min: i32, lambda_max: i32) -> Self {
let n_values = (lambda_max - lambda_min + 1).max(0) as usize;
Self {
lambda_min,
lambda_max,
values: vec![0.0; n_values],
}
}
pub fn from_spectrum(spec: &Spectrum, lambda_min: i32, lambda_max: i32) -> Self {
let mut s = Self::new(lambda_min, lambda_max);
if s.values.is_empty() {
return s;
}
for lambda in lambda_min..=lambda_max {
let index = (lambda - lambda_min) as usize;
s.values[index] = spec.sample_at(lambda as Float);
}
s
}
pub fn from_function<F>(f: F, lambda_min: i32, lambda_max: i32) -> Self
where
F: Fn(Float) -> Float,
{
let mut s = Self::new(lambda_min, lambda_max);
if s.values.is_empty() {
return s;
}
for lambda in lambda_min..=lambda_max {
let index = (lambda - lambda_min) as usize;
s.values[index] = f(lambda as Float);
}
s
}
pub fn sample_at(&self, lambda: Float) -> Float {
let offset = (lambda.round() as i32) - self.lambda_min;
if offset < 0 || offset as usize >= self.values.len() {
0.0
} else {
self.values[offset as usize]
}
}
pub fn sample(&self, lambda: &SampledWavelengths) -> SampledSpectrum {
let mut s = SampledSpectrum::default();
for i in 0..N_SPECTRUM_SAMPLES {
let offset = lambda[i].round() as usize - LAMBDA_MIN as usize;
if offset >= self.values.len() {
s[i] = 0.;
} else {
s[i] = self.values[offset];
}
}
s
}
pub fn max_value(&self) -> Float {
self.values.iter().fold(Float::MIN, |a, b| a.max(*b))
}
pub fn min_component_value(&self) -> Float {
self.values.iter().fold(Float::INFINITY, |a, &b| a.min(b))
}
pub fn max_component_value(&self) -> Float {
self.values
.iter()
.fold(Float::NEG_INFINITY, |a, &b| a.max(b))
}
pub fn average(&self) -> Float {
self.values.iter().sum::<Float>() / (N_SPECTRUM_SAMPLES as Float)
}
pub fn safe_div(&self, rhs: SampledSpectrum) -> Self {
let mut r = Self::new(1, 1);
for i in 0..N_SPECTRUM_SAMPLES {
r.values[i] = if rhs[i] != 0.0 {
self.values[i] / rhs.values[i]
} else {
0.0
}
}
r
}
}
#[derive(Debug, Clone)]
pub struct PiecewiseLinearSpectrum {
samples: Vec<(Float, Float)>,
}
impl PiecewiseLinearSpectrum {
pub fn from_interleaved(data: &[Float]) -> Self {
assert!(
data.len() % 2 == 0,
"Interleaved data must have an even number of elements"
);
let mut samples = Vec::new();
for pair in data.chunks(2) {
samples.push((pair[0], pair[1]));
}
// PBRT requires the samples to be sorted by wavelength for interpolation.
samples.sort_by(|a, b| a.0.partial_cmp(&b.0).unwrap());
Self { samples }
}
fn sample_at(&self, lambda: Float) -> Float {
if self.samples.is_empty() {
return 0.0;
}
// Handle boundary conditions
if lambda <= self.samples[0].0 {
return self.samples[0].1;
}
if lambda >= self.samples.last().unwrap().0 {
return self.samples.last().unwrap().1;
}
let i = self.samples.partition_point(|s| s.0 < lambda);
let s1 = self.samples[i - 1];
let s2 = self.samples[i];
let t = (lambda - s1.0) / (s2.0 - s1.0);
(1.0 - t) * s1.1 + t * s2.1
}
}
#[derive(Debug, Clone, Copy)]
pub struct BlackbodySpectrum {
temperature: Float,
normalization_factor: Float,
}
// Planck's Law
impl BlackbodySpectrum {
const C: Float = 299792458.0;
const H: Float = 6.62606957e-34;
const KB: Float = 1.3806488e-23;
pub fn new(temperature: Float) -> Self {
let lambda_max = 2.8977721e-3 / temperature * 1e9;
let max_val = Self::planck_law(lambda_max, temperature);
Self {
temperature,
normalization_factor: if max_val > 0.0 { 1.0 / max_val } else { 0.0 },
}
}
fn planck_law(lambda_nm: Float, temp: Float) -> Float {
if temp <= 0.0 {
return 0.0;
}
let lambda_m = lambda_nm * 1e-9; // Convert nm to meters
let c1 = 2.0 * Self::H * Self::C * Self::C;
let c2 = (Self::H * Self::C) / Self::KB;
let numerator = c1 / lambda_m.powi(5);
let denominator = (c2 / (lambda_m * temp)).exp() - 1.0;
if denominator.is_infinite() {
0.0
} else {
numerator / denominator
}
}
fn sample_at(&self, lambda: Float) -> Float {
Self::planck_law(lambda, self.temperature) * self.normalization_factor
}
}
#[derive(Debug, Clone, Copy)]
pub struct RGBSpectrum {
pub c: [Float; 3],
}
#[derive(Debug, Clone, Copy)]
pub struct RGBUnboundedSpectrum {
scale: Float,
rsp: RGBSigmoidPolynomial,
}
impl Default for RGBUnboundedSpectrum {
fn default() -> Self {
Self {
scale: 0.0,
rsp: RGBSigmoidPolynomial::default(),
}
}
}
impl RGBUnboundedSpectrum {
pub fn new(cs: &RGBColorspace, rgb: RGB) -> Self {
let m = rgb.max();
let scale = 2.0 * m;
let rgb_norm = if scale > 0.0 {
rgb / scale
} else {
RGB::new(0.0, 0.0, 0.0)
};
let rsp = cs.to_rgb_coeffs(rgb_norm);
Self { scale, rsp }
}
pub fn evaluate(&self, lambda: Float) -> Float {
self.scale * self.rsp.evaluate(lambda)
}
pub fn max_value(&self) -> Float {
self.scale * self.rsp.max_value()
}
pub fn sample(&self, lambda: &SampledWavelengths) -> SampledSpectrum {
let mut s = SampledSpectrum::default();
for i in 0..N_SPECTRUM_SAMPLES {
s[i] = self.scale * self.rsp.evaluate(lambda[i]);
}
s
}
}
pub mod spectra {
use super::*;
pub static X: Lazy<Spectrum> = Lazy::new(|| {
let pls = PiecewiseLinearSpectrum::from_interleaved(&cie::CIE_X);
let dss = DenselySampledSpectrum::from_spectrum(
&Spectrum::PiecewiseLinear(pls),
LAMBDA_MIN,
LAMBDA_MAX,
);
Spectrum::DenselySampled(dss)
});
pub static Y: Lazy<Spectrum> = Lazy::new(|| {
let pls = PiecewiseLinearSpectrum::from_interleaved(&cie::CIE_Y);
let dss = DenselySampledSpectrum::from_spectrum(
&Spectrum::PiecewiseLinear(pls),
LAMBDA_MIN,
LAMBDA_MAX,
);
Spectrum::DenselySampled(dss)
});
pub static Z: Lazy<Spectrum> = Lazy::new(|| {
let pls = PiecewiseLinearSpectrum::from_interleaved(&cie::CIE_Z);
let dss = DenselySampledSpectrum::from_spectrum(
&Spectrum::PiecewiseLinear(pls),
LAMBDA_MIN,
LAMBDA_MAX,
);
Spectrum::DenselySampled(dss)
});
}

9
src/utils/splines.rs
View file

@ -65,12 +65,11 @@ pub fn evaluate_cubic_bezier(cp: &[Point3f], u: Float) -> (Point3f, Vector3f) {
lerp(u, cp[2], cp[3]),
];
let cp2 = [lerp(u, cp1[0], cp1[1]), lerp(u, cp1[1], cp1[2])];
let deriv: Vector3f;
if (cp2[1] - cp2[0]).norm_squared() > 0. {
deriv = (cp2[1] - cp2[0]) * 3.;
let deriv = if (cp2[1] - cp2[0]).norm_squared() > 0. {
(cp2[1] - cp2[0]) * 3.
} else {
deriv = cp[3] - cp[0]
}
cp[3] - cp[0]
};
(lerp(u, cp2[0], cp2[1]), deriv)
}

155
src/utils/transform.rs
View file

@ -1,13 +1,16 @@
use num_traits::Float as NumFloat;
use std::error::Error;
use std::fmt::{self, Display};
use std::iter::{Product, Sum};
use std::ops::{Add, Div, Index, IndexMut, Mul};
use std::sync::Arc;
use super::color::{RGB, XYZ};
use super::math::{SquareMatrix, safe_acos};
use super::quaternion::Quaternion;
use crate::core::interaction::{SurfaceInteraction, MediumInteraction, Interaction, InteractionData};
use crate::core::interaction::{
Interaction, InteractionData, MediumInteraction, SurfaceInteraction,
};
use crate::core::pbrt::{Float, gamma};
use crate::geometry::{
Bounds3f, Normal, Normal3f, Point, Point3f, Point3fi, Ray, Vector, Vector3f, Vector3fi,
@ -21,7 +24,7 @@ pub struct Transform<T: NumFloat> {
m_inv: SquareMatrix<T, 4>,
}
impl<T: NumFloat> Transform<T> {
impl<T: NumFloat + Sum + Product> Transform<T> {
pub fn new(m: SquareMatrix<T, 4>, m_inv: SquareMatrix<T, 4>) -> Self {
Self { m, m_inv }
}
@ -33,8 +36,7 @@ impl<T: NumFloat> Transform<T> {
pub fn identity() -> Self {
let m: SquareMatrix<T, 4> = SquareMatrix::identity();
let m_inv = m.clone();
Self { m, m_inv }
Self { m, m_inv: m }
}
pub fn is_identity(&self) -> bool {
@ -43,26 +45,28 @@ impl<T: NumFloat> Transform<T> {
pub fn inverse(&self) -> Self {
Self {
m: self.m_inv.clone(),
m_inv: self.m.clone(),
m: self.m_inv,
m_inv: self.m,
}
}
pub fn apply_inverse(&self, p: Point<T, 3>) -> Point<T, 3> {
self.clone() * p
*self * p
}
pub fn apply_inverse_vector(&self, v: Vector<T, 3>) -> Vector<T, 3> {
let x = v.x();
let y = v.y();
let z = v.z();
Vector::<T, 3>::new(self.m_inv[0][0] * x + self.m_inv[0][1] * y + self.m_inv[0][2] * z,
Vector::<T, 3>::new(
self.m_inv[0][0] * x + self.m_inv[0][1] * y + self.m_inv[0][2] * z,
self.m_inv[1][0] * x + self.m_inv[1][1] * y + self.m_inv[1][2] * z,
self.m_inv[2][0] * x + self.m_inv[2][1] * y + self.m_inv[2][2] * z)
self.m_inv[2][0] * x + self.m_inv[2][1] * y + self.m_inv[2][2] * z,
)
}
pub fn apply_inverse_normal(&self, n: Normal<T, 3>) -> Normal<T, 3> {
self.clone() * n
*self * n
}
pub fn swaps_handedness(&self) -> bool {
@ -71,7 +75,7 @@ impl<T: NumFloat> Transform<T> {
[self.m[1][0], self.m[1][1], self.m[1][2]],
[self.m[2][0], self.m[2][1], self.m[2][2]],
]);
return s.determinant() < T::zero();
s.determinant() < T::zero()
}
}
@ -86,9 +90,9 @@ impl Transform<Float> {
let wp = self.m[3][0] * x + self.m[3][1] * y + self.m[3][2] * z + self.m[3][3];
if wp == 1. {
return Point3f::new(xp, yp, zp);
Point3f::new(xp, yp, zp)
} else {
return Point3f::new(xp / wp, yp / wp, zp / wp);
Point3f::new(xp / wp, yp / wp, zp / wp)
}
}
@ -102,9 +106,9 @@ impl Transform<Float> {
let wp = self.m[3][0] * x + self.m[3][1] * y + self.m[3][2] * z;
if wp == 1. {
return Vector3f::new(xp, yp, zp);
Vector3f::new(xp, yp, zp)
} else {
return Vector3f::new(xp / wp, yp / wp, zp / wp);
Vector3f::new(xp / wp, yp / wp, zp / wp)
}
}
@ -118,9 +122,9 @@ impl Transform<Float> {
let wp = self.m[3][0] * x + self.m[3][1] * y + self.m[3][2] * z;
if wp == 1. {
return Normal3f::new(xp, yp, zp);
Normal3f::new(xp, yp, zp)
} else {
return Normal3f::new(xp / wp, yp / wp, zp / wp);
Normal3f::new(xp / wp, yp / wp, zp / wp)
}
}
@ -178,9 +182,9 @@ impl Transform<Float> {
}
if wp == 1. {
return Point3fi::new_with_error(Point([xp, yp, zp]), p_error);
Point3fi::new_with_error(Point([xp, yp, zp]), p_error)
} else {
return Point3fi::new_with_error(Point([xp / wp, yp / wp, zp / wp]), p_error);
Point3fi::new_with_error(Point([xp / wp, yp / wp, zp / wp]), p_error)
}
}
@ -209,9 +213,9 @@ impl Transform<Float> {
}
if wp == 1. {
return Vector3fi::new_with_error(Vector3f::new(xp, yp, zp), v_error);
Vector3fi::new_with_error(Vector3f::new(xp, yp, zp), v_error)
} else {
return Vector3fi::new_with_error(Vector3f::new(xp / wp, yp / wp, zp / wp), v_error);
Vector3fi::new_with_error(Vector3f::new(xp / wp, yp / wp, zp / wp), v_error)
}
}
@ -271,44 +275,50 @@ impl Transform<Float> {
let wp = (m_inv[3][0] * x + m_inv[3][1] * y) + (m_inv[3][2] * z + m_inv[3][3]);
// Compute absolute error for transformed point
let p_out_error: Vector3f;
let g3 = gamma(3);
if p.is_exact() {
p_out_error = Vector3f::new(
let p_out_error = if p.is_exact() {
Vector3f::new(
g3 * (m_inv[0][0] * x).abs() + (m_inv[0][1] * y).abs() + (m_inv[0][2] * z).abs(),
g3 * (m_inv[1][0] * x).abs() + (m_inv[1][1] * y).abs() + (m_inv[1][2] * z).abs(),
g3 * (m_inv[2][0] * x).abs() + (m_inv[2][1] * y).abs() + (m_inv[2][2] * z).abs(),
);
)
} else {
let p_in_error = p.error();
let g3_plus_1 = g3 + 1.0;
p_out_error = Vector3f::new(
g3_plus_1 * (m_inv[0][0].abs() * p_in_error.x() +
m_inv[0][1].abs() * p_in_error.y() +
m_inv[0][2].abs() * p_in_error.z()) +
g3 * ((m_inv[0][0] * x).abs() + (m_inv[0][1] * y).abs() +
(m_inv[0][2] * z).abs() + m_inv[0][3].abs()),
g3_plus_1 * (m_inv[1][0].abs() * p_in_error.x() +
m_inv[1][1].abs() * p_in_error.y() +
m_inv[1][2].abs() * p_in_error.z()) +
g3 * ((m_inv[1][0] * x).abs() + (m_inv[1][1] * y).abs() +
(m_inv[1][2] * z).abs() + m_inv[1][3].abs()),
g3_plus_1 * (m_inv[2][0].abs() * p_in_error.x() +
m_inv[2][1].abs() * p_in_error.y() +
m_inv[2][2].abs() * p_in_error.z()) +
g3 * ((m_inv[2][0] * x).abs() + (m_inv[2][1] * y).abs() +
(m_inv[2][2] * z).abs() + m_inv[2][3].abs()),
);
}
Vector3f::new(
g3_plus_1
* (m_inv[0][0].abs() * p_in_error.x()
+ m_inv[0][1].abs() * p_in_error.y()
+ m_inv[0][2].abs() * p_in_error.z())
+ g3 * ((m_inv[0][0] * x).abs()
+ (m_inv[0][1] * y).abs()
+ (m_inv[0][2] * z).abs()
+ m_inv[0][3].abs()),
g3_plus_1
* (m_inv[1][0].abs() * p_in_error.x()
+ m_inv[1][1].abs() * p_in_error.y()
+ m_inv[1][2].abs() * p_in_error.z())
+ g3 * ((m_inv[1][0] * x).abs()
+ (m_inv[1][1] * y).abs()
+ (m_inv[1][2] * z).abs()
+ m_inv[1][3].abs()),
g3_plus_1
* (m_inv[2][0].abs() * p_in_error.x()
+ m_inv[2][1].abs() * p_in_error.y()
+ m_inv[2][2].abs() * p_in_error.z())
+ g3 * ((m_inv[2][0] * x).abs()
+ (m_inv[2][1] * y).abs()
+ (m_inv[2][2] * z).abs()
+ m_inv[2][3].abs()),
)
};
if wp == 1.0 {
Point3fi::new_with_error(Point3f::new(xp, yp, zp), p_out_error)
} else {
Point3fi::new_with_error(Point3f::new(xp/wp, yp/wp, zp/wp), p_out_error)
Point3fi::new_with_error(Point3f::new(xp / wp, yp / wp, zp / wp), p_out_error)
}
}
@ -326,10 +336,13 @@ impl Transform<Float> {
t = t_max - dt;
}
}
(Ray::new(Point3f::from(o), d, Some(r.time), r.medium.clone()), t)
(
Ray::new(Point3f::from(o), d, Some(r.time), r.medium.clone()),
t,
)
}
pub fn to_quaternion(&self) -> Quaternion {
pub fn to_quaternion(self) -> Quaternion {
let trace = self.m.trace();
let mut quat = Quaternion::default();
if trace > 0. {
@ -430,7 +443,7 @@ impl Transform<Float> {
m[2][1] = a.y() * a.z() * (1. - cos_theta) + a.x() * sin_theta;
m[2][2] = a.z() * a.z() + (1. - a.z() * a.z()) * cos_theta;
m[2][3] = 0.;
Transform::new(m.clone(), m.transpose())
Transform::new(m, m.transpose())
}
pub fn rotate_from_to(from: Vector3f, to: Vector3f) -> Self {
@ -457,7 +470,7 @@ impl Transform<Float> {
+ 4. * uv / (uu * vv) * v[i] * u[j];
}
}
Transform::new(r.clone(), r.transpose())
Transform::new(r, r.transpose())
}
pub fn rotate_x(theta: Float) -> Self {
@ -470,7 +483,7 @@ impl Transform<Float> {
[0., 0., 0., 1.],
]);
Self {
m: m.clone(),
m,
m_inv: m.transpose(),
}
}
@ -485,7 +498,7 @@ impl Transform<Float> {
[0., 0., 0., 1.],
]);
Self {
m: m.clone(),
m,
m_inv: m.transpose(),
}
}
@ -500,14 +513,14 @@ impl Transform<Float> {
[0., 0., 0., 1.],
]);
Self {
m: m.clone(),
m,
m_inv: m.transpose(),
}
}
pub fn decompose(&self) -> (Vector3f, SquareMatrix<Float, 4>, SquareMatrix<Float, 4>) {
let t = Vector3f::new(self.m[0][3], self.m[1][3], self.m[2][3]);
let mut m = self.m.clone();
let mut m = self.m;
for i in 0..3 {
m[i][3] = 0.;
m[3][i] = m[i][3];
@ -516,14 +529,14 @@ impl Transform<Float> {
m[3][3] = 1.;
let mut norm: Float;
let mut r = m.clone();
let mut r = m;
let mut count = 0;
loop {
let rit = r
.transpose()
.inverse()
.expect("Transform is not decomposable");
let rnext = (r.clone() + rit.clone()) / 2.;
let rnext = (r + rit) / 2.;
norm = 0.0;
for i in 0..3 {
let n = (r[i][0] - rnext[i][0]).abs()
@ -563,15 +576,15 @@ impl<T: NumFloat> Mul for Transform<T> {
}
}
impl<'a, 'b, T> Mul<&'b Transform<T>> for &'a Transform<T>
impl<'b, T> Mul<&'b Transform<T>> for &Transform<T>
where
T: NumFloat,
{
type Output = Transform<T>;
fn mul(self, rhs: &'b Transform<T>) -> Self::Output {
Transform {
m: self.m.clone() * rhs.m.clone(),
m_inv: rhs.m_inv.clone() * self.m_inv.clone(),
m: self.m * rhs.m,
m_inv: rhs.m_inv * self.m_inv,
}
}
}
@ -730,8 +743,8 @@ impl AnimatedTransform {
if !actually_animated {
return Self {
start_transform: start_transform.clone(),
end_transform: end_transform.clone(),
start_transform: *start_transform,
end_transform: *end_transform,
start_time,
end_time,
actually_animated: false,
@ -1874,7 +1887,7 @@ impl AnimatedTransform {
std::array::from_fn(|_| DerivativeTerm::default()),
)
};
return AnimatedTransform {
AnimatedTransform {
start_transform: *start_transform,
end_transform: *end_transform,
start_time,
@ -1889,7 +1902,7 @@ impl AnimatedTransform {
c3,
c4,
c5,
};
}
}
pub fn apply_point(&self, p: Point3f, time: Float) -> Point3f {
@ -1924,7 +1937,7 @@ impl AnimatedTransform {
pub fn apply_interaction(&self, si: &dyn Interaction) -> Box<dyn Interaction> {
if !self.actually_animated {
return self.start_transform.apply_to_interaction(si)
return self.start_transform.apply_to_interaction(si);
}
let t = self.interpolate(si.time());
t.apply_to_interaction(si)
@ -1947,35 +1960,37 @@ impl AnimatedTransform {
let scale_transform =
Transform::from_matrix(scale).expect("Scale matrix is not inversible");
return Transform::translate(trans) * Transform::from(rotate) * scale_transform;
Transform::translate(trans) * Transform::from(rotate) * scale_transform
}
pub fn apply_inverse_point(&self, p: Point3f, time: Float) -> Point3f {
if !self.actually_animated {
return self.start_transform.apply_inverse(p);
}
return self.interpolate(time).apply_inverse(p);
self.interpolate(time).apply_inverse(p)
}
pub fn apply_inverse_vector(&self, v: Vector3f, time: Float) -> Vector3f {
if !self.actually_animated {
return self.start_transform.apply_inverse_vector(v);
}
return self.interpolate(time).apply_inverse_vector(v);
self.interpolate(time).apply_inverse_vector(v)
}
pub fn apply_inverse_normal(&self, n: Normal3f, time: Float) -> Normal3f {
if !self.actually_animated {
return self.start_transform.apply_inverse_normal(n);
}
return self.interpolate(time).apply_inverse_normal(n);
self.interpolate(time).apply_inverse_normal(n)
}
pub fn motion_bounds(&self, b: &Bounds3f) -> Bounds3f {
if !self.actually_animated {
return self.start_transform.apply_to_bounds(*b)
return self.start_transform.apply_to_bounds(*b);
}
return self.start_transform.apply_to_bounds(*b).union(self.end_transform.apply_to_bounds(*b))
self.start_transform
.apply_to_bounds(*b)
.union(self.end_transform.apply_to_bounds(*b))
}
}