libcruft-util/tools/noise.cpp

59 lines
2.0 KiB
C++

#include "image.hpp"
#include "noise.hpp"
#include "noise/fractal/fbm.hpp"
#include "noise/fractal/rmf.hpp"
#include "noise/fractal/hmf.hpp"
#include "noise/fractal/hetero.hpp"
#include "noise/lerp.hpp"
#include "noise/basis/constant.hpp"
#include "noise/basis/value.hpp"
#include "noise/basis/perlin.hpp"
#include "noise/basis/worley.hpp"
#include "extent.hpp"
int
main (void)
{
// setup the output buffer
util::extent2u size {1920, 1080};
util::image::buffer<float> img (size);
// setup the noise generator
//util::noise::fractal::fbm<float, util::noise::basis::worley<float>> b;
//util::noise::fractal::rmf<float, util::noise::basis::worley<float>> b;
//util::noise::fractal::fbm<float, util::noise::basis::perlin<float,util::lerp::cubic>> b;
//util::noise::fractal::rmf<float, util::noise::basis::perlin<float,util::lerp::cubic>> b;
util::noise::fractal::hmf<float, util::noise::basis::perlin<float,util::lerp::cubic>> b;
//util::noise::fractal::hetero<float, util::noise::basis::perlin<float,util::lerp::quintic>> b;
b.octaves = 8;
b.frequency = 10.f / size.w;
b.lacunarity = 2.f;
//b.H = 0.75f;
b.basis.seed = time (NULL);
// generate the values. offset positions slightly to avoid simple axis issues with perlin basis
{
auto offset = util::vector2f { -100 };
for (size_t y = 0; y < size.h; ++y)
for (size_t x = 0; x < size.w; ++x) {
auto v = b (util::point2f {float (x), float (y)} + offset);
img.data ()[y * size.w + x] = v;
}
}
// rescale into the range [0, 1]
auto range = std::minmax_element (img.begin (), img.end ());
auto offset = *range.first;
auto div = *range.second - *range.first;
std::cerr << "range: [" << *range.first << ", " << *range.second << "]\n";
std::transform (img.begin (), img.end (), img.begin (), [offset,div] (auto i) { return (i - offset) / div; });
// write the image to disk
auto grey = img.clone<uint8_t> ();
util::pgm::write (grey, "noise.ppm");
}