Visual Servoing Platform  version 3.6.1 under development (2024-12-04)
perfGaussianFilter.cpp
/*
* ViSP, open source Visual Servoing Platform software.
* Copyright (C) 2005 - 2024 by Inria. All rights reserved.
*
* This software is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
* See the file LICENSE.txt at the root directory of this source
* distribution for additional information about the GNU GPL.
*
* For using ViSP with software that can not be combined with the GNU
* GPL, please contact Inria about acquiring a ViSP Professional
* Edition License.
*
* See https://visp.inria.fr for more information.
*
* This software was developed at:
* Inria Rennes - Bretagne Atlantique
* Campus Universitaire de Beaulieu
* 35042 Rennes Cedex
* France
*
* If you have questions regarding the use of this file, please contact
* Inria at visp@inria.fr
*
* This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
* WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
*
* Description:
* Benchmark Gaussian filter.
*/
#include <visp3/core/vpConfig.h>
#if defined(VISP_HAVE_SIMDLIB) && defined(VISP_HAVE_CATCH2)
#include <catch_amalgamated.hpp>
#include <visp3/core/vpGaussianFilter.h>
#include <visp3/core/vpImageFilter.h>
#include <visp3/core/vpIoTools.h>
#include <visp3/io/vpImageIo.h>
#if defined(VISP_HAVE_OPENCV) && defined(HAVE_OPENCV_IMGCODECS) && defined(HAVE_OPENCV_IMGPROC)
#include <opencv2/imgcodecs.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#endif
#ifdef ENABLE_VISP_NAMESPACE
using namespace VISP_NAMESPACE_NAME;
#endif
static const std::string ipath = vpIoTools::getViSPImagesDataPath();
static std::string imagePath = vpIoTools::createFilePath(ipath, "faces/1280px-Solvay_conference_1927.png");
TEST_CASE("vpGaussianFilter", "[benchmark]")
{
SECTION("unsigned char")
{
vpImageIo::read(I, imagePath);
const float sigma = 5.0f;
vpGaussianFilter gaussianFilter(I.getWidth(), I.getHeight(), sigma);
BENCHMARK("Benchmark vpGaussianFilter uchar")
{
gaussianFilter.apply(I, I_blur);
return I_blur;
};
}
SECTION("vpRGBa")
{
vpImage<vpRGBa> I, I_blur;
vpImageIo::read(I, imagePath);
const float sigma = 5.0f;
vpGaussianFilter gaussianFilter(I.getWidth(), I.getHeight(), sigma);
BENCHMARK("Benchmark vpGaussianFilter vpRGBa")
{
gaussianFilter.apply(I, I_blur);
return I_blur;
};
}
SECTION("vpRGBa + deinterleave")
{
vpImage<vpRGBa> I, I_blur;
vpImageIo::read(I, imagePath);
const float sigma = 5.0f;
const bool deinterleave = true;
vpGaussianFilter gaussianFilter(I.getWidth(), I.getHeight(), sigma, deinterleave);
BENCHMARK("Benchmark vpGaussianFilter vpRGBa")
{
gaussianFilter.apply(I, I_blur);
return I_blur;
};
}
}
TEST_CASE("vpImageFilter::gaussianBlur", "[benchmark]")
{
SECTION("unsigned char")
{
vpImageIo::read(I, imagePath);
const unsigned int kernelSize = 7;
const double sigma = 5.0;
BENCHMARK("Benchmark vpImageFilter::gaussianBlur uchar")
{
vpImageFilter::gaussianBlur(I, I_blur, kernelSize, sigma);
return I_blur;
};
}
SECTION("vpRGBa")
{
vpImage<vpRGBa> I, I_blur;
vpImageIo::read(I, imagePath);
const unsigned int kernelSize = 7;
const double sigma = 5.0;
BENCHMARK("Benchmark vpImageFilter::gaussianBlur vpRGBa")
{
vpImageFilter::gaussianBlur(I, I_blur, kernelSize, sigma);
return I_blur;
};
}
}
#if defined(VISP_HAVE_OPENCV) && defined(HAVE_OPENCV_IMGCODECS) && defined(HAVE_OPENCV_IMGPROC)
TEST_CASE("Gaussian filter (OpenCV)", "[benchmark]")
{
SECTION("unsigned char")
{
cv::Mat img, img_blur;
img = cv::imread(imagePath, cv::IMREAD_GRAYSCALE);
const double sigma = 5.0;
BENCHMARK("Benchmark Gaussian filter uchar (OpenCV)")
{
cv::GaussianBlur(img, img_blur, cv::Size(), sigma);
return img_blur;
};
}
SECTION("BGR")
{
cv::Mat img, img_blur;
img = cv::imread(imagePath, cv::IMREAD_COLOR);
const double sigma = 5.0;
BENCHMARK("Benchmark Gaussian filter BGR (OpenCV)")
{
cv::GaussianBlur(img, img_blur, cv::Size(), sigma);
return img_blur;
};
}
}
#endif
int main(int argc, char *argv[])
{
Catch::Session session;
bool runBenchmark = false;
auto cli = session.cli()
| Catch::Clara::Opt(runBenchmark)["--benchmark"]("run benchmark?");
session.cli(cli);
session.applyCommandLine(argc, argv);
if (runBenchmark) {
int numFailed = session.run();
return numFailed;
}
return EXIT_SUCCESS;
}
#else
#include <iostream>
int main() { return EXIT_SUCCESS; }
#endif
Gaussian filter class.
static void gaussianBlur(const vpImage< ImageType > &I, vpImage< FilterType > &GI, unsigned int size=7, FilterType sigma=0., bool normalize=true, const vpImage< bool > *p_mask=nullptr)
static void read(vpImage< unsigned char > &I, const std::string &filename, int backend=IO_DEFAULT_BACKEND)
Definition: vpImageIo.cpp:147
unsigned int getWidth() const
Definition: vpImage.h:242
unsigned int getHeight() const
Definition: vpImage.h:181
static std::string getViSPImagesDataPath()
Definition: vpIoTools.cpp:1053
static std::string createFilePath(const std::string &parent, const std::string &child)
Definition: vpIoTools.cpp:1427