Sampler AA Patterns [Ahm16]
Description
The AA Pattern sampler from [Ahm16].
For a more precise description of this sampler and its performances in terms of aliasing and discrepancy, please refer to the following web bundle https://liris.cnrs.fr/ldbn/HTML_bundle/index.html.
Files
src/samplers/AAPatterns.cpp
include/utk/samplers/SamplerAAPatterns.hpp
externals/AAPatterns/*
Usage
AAPatterns sampler
Usage: ./AAPatterns [OPTIONS]
Options:
-h,--help Print this help message and exit
-n UINT REQUIRED Number of points
-d UINT UNUSED ! Here for compatibility with others.
-s,--seed UINT Seed (unspecified means 'random')
-m UINT [1] Number of pointsets
-o,--out TEXT [out.dat] Output file (format). {i} splits outputs in multiple files and token is replaced by index.
--vfile TEXT [blue] Path to vector file, or use one of default [ blue, fpo-like, green, pink, step, ]
--silent Silence UTK logs
#include <utk/utils/PointsetIO.hpp>
#include <utk/utils/Pointset.hpp>
#include <utk/samplers/SamplerAAPatterns.hpp>
int main()
{
utk::Pointset<double> pts;
utk::SamplerAAPatterns aa; // Default target is 'blue'
aa.setRandomSeed(/* empty means random, can also pass a number */);
aa.setVectorFile("green" /* Or one of supported types*/)
// Check for no errors
if (aa.generateSamples(pts, 1024 /* Number of points */))
{
write_text_pointset("aapatterns.dat", pts);
}
}
import pyutk
aa = pyutk.AAPatterns()
aa.setVectorFile("green")
samples = aa.sample(1024) # This is a numpy array !
Results
License
See Licence.md file. Author code from ‘Abdalla Ahmed’ has no licence but is provided with following header.
/* Generate a distribution based on an AA pattern and a loadable displacement map
* Values which depend on pattern parameters are read from a header file so
* that different parameters can be used with this code.
* We could also load these dynamically, but hard-coding them gives substantial speedup
* Created by Abdalla Ahmed
* 2014-11-11
* Last revision 2015-09-10
*/