Olena-patches February 2010

olena-patches@lrde.epita.fr

6 participants
91 discussions

last-svn-commit-10-g988bdbb 2009-12-15 Yann Jacquelet <jacquelet@lrde.epita.fr>

by green

Work around the regional labeling chain and experiment it on the annoting database. * green/exp/labeling/regional_maxima/Makefile.am: Add boost library. * green/exp/labeling/regional_maxima/regional_maxima.cc: Count colors. --- .../green/exp/labeling/regional_maxima/Makefile.am | 1 + .../labeling/regional_maxima/regional_maxima.cc | 6 +++--- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/milena/sandbox/green/exp/labeling/regional_maxima/Makefile.am b/milena/sandbox/green/exp/labeling/regional_maxima/Makefile.am index ab76e18..8e204c6 100644 --- a/milena/sandbox/green/exp/labeling/regional_maxima/Makefile.am +++ b/milena/sandbox/green/exp/labeling/regional_maxima/Makefile.am @@ -6,6 +6,7 @@ # TOOLS # ######### +LOADLIBES= -lboost_filesystem INCLUDES= -I$(HOME)/svn/oln/trunk/milena/sandbox/green #CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES) #CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) diff --git a/milena/sandbox/green/exp/labeling/regional_maxima/regional_maxima.cc b/milena/sandbox/green/exp/labeling/regional_maxima/regional_maxima.cc index 28b6b88..a66c1b7 100644 --- a/milena/sandbox/green/exp/labeling/regional_maxima/regional_maxima.cc +++ b/milena/sandbox/green/exp/labeling/regional_maxima/regional_maxima.cc @@ -98,10 +98,10 @@ unsigned count_image_color(const std::string& image) input_rgbn = mln::data::transform(input_rgb8, t_rgb8_to_rgbn()); // FIXME UTILISER UN PREDICAT COMME FUN::CHESS - histo = mln::data::compute(t_histo3d_fun(), input_rgbn | mln::pw::value(0)); -// return mln::data::compute(t_count_fun(), input_rgbn); + histo = mln::data::compute(t_histo3d_fun(), input_rgbn); + return mln::data::compute(t_count_fun(), histo); // FIXME REALISER UN COUNT AVEC UN PREDICA SUR L'IMAGE - return nb_pixel; + //return nb_pixel; // opened = mln::morpho::opening::volume(histo, mln::c6(), min_volume); // label = mln::labeling::regional_maxima(opened, mln::c6(), n_labels); -- 1.5.6.5

14 years, 10 months

last-svn-commit-9-g4e56a00 Test clipart operators described by Millet on annoting database.

by green

* green/exp/annoting/nb_color: New experimentation directory. * green/exp/annoting/nb_color/Makefile.am: New Makefile. * green/exp/annoting/nb_color/nb_color.cc: New experementation. * green/exp/annoting/stddev_color: New experimentation directory. * green/exp/annoting/stddev_color/Makefile.am: New Makefile. * green/exp/annoting/stddev_color/stddev_color.cc: New experimentation. --- .../nb_color}/Makefile.am | 1 + .../green/exp/annoting/nb_color/nb_color.cc | 131 ++++++++++++++++++++ .../stddev_color}/Makefile.am | 1 + .../annoting/stddev_color/stddev_color.cc | 73 ++++++++---- 4 files changed, 184 insertions(+), 22 deletions(-) copy milena/sandbox/green/exp/{labeling/regional_maxima => annoting/nb_color}/Makefile.am (99%) create mode 100644 milena/sandbox/green/exp/annoting/nb_color/nb_color.cc copy milena/sandbox/green/exp/{labeling/regional_maxima => annoting/stddev_color}/Makefile.am (99%) copy milena/sandbox/green/{demo => exp}/annoting/stddev_color/stddev_color.cc (63%) diff --git a/milena/sandbox/green/exp/labeling/regional_maxima/Makefile.am b/milena/sandbox/green/exp/annoting/nb_color/Makefile.am similarity index 99% copy from milena/sandbox/green/exp/labeling/regional_maxima/Makefile.am copy to milena/sandbox/green/exp/annoting/nb_color/Makefile.am index ab76e18..8e204c6 100644 --- a/milena/sandbox/green/exp/labeling/regional_maxima/Makefile.am +++ b/milena/sandbox/green/exp/annoting/nb_color/Makefile.am @@ -6,6 +6,7 @@ # TOOLS # ######### +LOADLIBES= -lboost_filesystem INCLUDES= -I$(HOME)/svn/oln/trunk/milena/sandbox/green #CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES) #CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) diff --git a/milena/sandbox/green/exp/annoting/nb_color/nb_color.cc b/milena/sandbox/green/exp/annoting/nb_color/nb_color.cc new file mode 100644 index 0000000..6dd9c26 --- /dev/null +++ b/milena/sandbox/green/exp/annoting/nb_color/nb_color.cc @@ -0,0 +1,131 @@ +// COUNTING THE IMAGE COLORS + +#include <iostream> +#include <sstream> +#include <boost/filesystem.hpp> + +#include <mln/img_path.hh> + +#include <mln/accu/math/count.hh> +#include <mln/accu/stat/histo3d_rgb.hh> + +#include <mln/binarization/threshold.hh> + +#include <mln/core/alias/neighb3d.hh> +#include <mln/core/image/image2d.hh> +#include <mln/core/image/image3d.hh> +#include <mln/core/image/dmorph/image_if.hh> + +#include <mln/data/compute.hh> +#include <mln/data/transform.hh> + +#include <mln/fun/v2v/rgb8_to_rgbn.hh> + +// #include <mln/morpho/opening/volume.hh> + +#include <mln/io/ppm/load.hh> + +#include <mln/pw/value.hh> +#include <mln/pw/cst.hh> + +#include <mln/util/timer.hh> + +#include <mln/value/rgb8.hh> +//#include <mln/value/rgb.hh> + +// FIXME +// Pour la classification des images, pour gagner du temps, +// peut être peut-on réduire toutes les images à 100x100 avec 2^5 couleurs ? + +// n < 8, n is the degree of quantification +template <unsigned n> +unsigned count_image_color(const std::string& image) +{ + typedef mln::value::rgb8 t_rgb8; + typedef mln::value::rgb<n> t_rgbn; + typedef mln::image2d<t_rgb8> t_image2d_rgb8; + typedef mln::image2d<t_rgbn> t_image2d_rgbn; + typedef mln::image3d<unsigned> t_histo3d; + typedef mln::image3d<bool> t_histo3d_bool; + typedef mln::fun::v2v::rgb8_to_rgbn<n> t_rgb8_to_rgbn; + typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun; + typedef mln::accu::meta::math::count t_count_fun; + + t_image2d_rgb8 input_rgb8; + t_image2d_rgbn input_rgbn; + t_image2d_rgbn output_rgbn; + t_histo3d histo; +// t_histo3d opened; + t_histo3d_bool filtered; + + mln::io::ppm::load(input_rgb8, image.c_str()); + + unsigned nb_pixel = input_rgb8.ncols() * input_rgb8.nrows(); + unsigned min_volume = (unsigned)(nb_pixel * 0.0001); + unsigned nb_color = 0; + +// input_rgbn = mln::data::transform(input_rgb8, t_rgb8_to_rgbn()); + histo = mln::data::compute(t_histo3d_fun(), input_rgb8); +// opened = mln::morpho::opening::volume(histo, mln::c6(), min_volume); + filtered = mln::binarization::threshold(histo, min_volume); + nb_color = mln::data::compute(t_count_fun(), + (filtered|(mln::pw::value(filtered)!=0)).rw()); + + return nb_color; +} + +int main() +{ + typedef boost::filesystem::path t_path; + //typedef boost::filesystem::initial_path<t_path()> t_init_path; + typedef boost::filesystem::directory_iterator t_iter_path; + + t_path full_path[] = {t_path(ANNOTING_BILL_IMG_PATH), + t_path(ANNOTING_FAX_IMG_PATH), + t_path(ANNOTING_HANDWRITTEN_IMG_PATH), + t_path(ANNOTING_LOGO_IMG_PATH), + t_path(ANNOTING_MAP_IMG_PATH), + t_path(ANNOTING_PHOTO_IMG_PATH), + t_path(ANNOTING_SCREENSHOT_IMG_PATH), + t_path(ANNOTING_SLIDE_IMG_PATH), + t_path(ANNOTING_TYPED_IMG_PATH)}; + + for (int i = 0; i < 9; ++i) + { + std::cerr << "entering " << full_path[i] << std::endl; + std::cout << "entering " << full_path[i] << std::endl; + + if (boost::filesystem::exists(full_path[i]) && + boost::filesystem::is_directory(full_path[i])) + { + boost::filesystem::system_complete(full_path[i]); + const t_iter_path end_iter; + unsigned count = 0; + unsigned sum1 = 0; + unsigned sum2 = 0; + + for (t_iter_path dir_iter(full_path[i]); end_iter != dir_iter; ++dir_iter) + { + unsigned val = count_image_color<8>(dir_iter->path().string()); + + ++count; + sum1 += val; + sum2 += val*val; + + std::cout << dir_iter->path().string() << " => " << val << std::endl; + // FIXME NB COULEURS BRUTES + // FIXME NB DE COULEURS + // FIXME LISTE DES COULEURS + // IMPORTANCES + } + + float mean = sum1 / count; + float var = ((float)sum2 / count) - (mean * mean); + + std::cout << "mean : " << mean << std::endl; + std::cout << "var : " << var << std::endl; + } + } + + return 0; +} diff --git a/milena/sandbox/green/exp/labeling/regional_maxima/Makefile.am b/milena/sandbox/green/exp/annoting/stddev_color/Makefile.am similarity index 99% copy from milena/sandbox/green/exp/labeling/regional_maxima/Makefile.am copy to milena/sandbox/green/exp/annoting/stddev_color/Makefile.am index ab76e18..8e204c6 100644 --- a/milena/sandbox/green/exp/labeling/regional_maxima/Makefile.am +++ b/milena/sandbox/green/exp/annoting/stddev_color/Makefile.am @@ -6,6 +6,7 @@ # TOOLS # ######### +LOADLIBES= -lboost_filesystem INCLUDES= -I$(HOME)/svn/oln/trunk/milena/sandbox/green #CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES) #CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) diff --git a/milena/sandbox/green/demo/annoting/stddev_color/stddev_color.cc b/milena/sandbox/green/exp/annoting/stddev_color/stddev_color.cc similarity index 63% copy from milena/sandbox/green/demo/annoting/stddev_color/stddev_color.cc copy to milena/sandbox/green/exp/annoting/stddev_color/stddev_color.cc index 0782e9c..652b8a8 100644 --- a/milena/sandbox/green/demo/annoting/stddev_color/stddev_color.cc +++ b/milena/sandbox/green/exp/annoting/stddev_color/stddev_color.cc @@ -2,6 +2,7 @@ #include <iostream> #include <sstream> +#include <boost/filesystem.hpp> #include <mln/img_path.hh> @@ -11,9 +12,6 @@ #include <mln/core/macros.hh> #include <mln/core/image/image1d.hh> #include <mln/core/image/image2d.hh> -#include <mln/core/image/image3d.hh> - -#include <mln/debug/println.hh> #include <mln/data/compute.hh> #include <mln/data/fill.hh> @@ -22,8 +20,6 @@ #include <mln/fun/v2v/rgb8_to_int_u8.hh> #include <mln/io/ppm/load.hh> -#include <mln/io/pgm/save.hh> -#include <mln/io/plot/save_image_sh.hh> #include <mln/math/sqr.hh> @@ -43,7 +39,7 @@ float r(short p, unsigned histo_p, short x, unsigned histo_x) return result; } -unsigned stddev_color(const std::string& image) +float stddev_color(const std::string& image) { typedef mln::point1d t_point1d; typedef mln::value::rgb8 t_rgb8; @@ -64,10 +60,6 @@ unsigned stddev_color(const std::string& image) input_int_u8 = mln::data::transform(input_rgb8, t_rgb8_to_int_u8()); histo = mln::data::compute(t_histo1d_fun(), input_int_u8); - mln::io::pgm::save(input_int_u8, "tmp.pgm"); - mln::io::plot::save_image_sh(histo, "histo.sh"); - mln::debug::println(histo); - // Find the peak of the histogram unsigned v_max = mln::opt::at(histo, 0); short p_max = 0; @@ -102,23 +94,60 @@ unsigned stddev_color(const std::string& image) stddev = (250 < p_max)? stddev_low : (5 > p_max)? stddev_up : (stddev_low + stddev_up)/2; - std::cout << "max_site : " << p_max << std::endl; - std::cout << "h(max_site) : " << v_max << std::endl; - std::cout << "stddev_up : " << stddev_up << std::endl; - std::cout << "stddev_low : " << stddev_low << std::endl; - std::cout << "stddev : " << stddev << std::endl; - - return 0; + return stddev; } - int main() { -// unsigned val = stdev_color(ANNOTING_PHOTO_IMG_PATH "/photo01.ppm"); - unsigned val = stddev_color(ANNOTING_LOGO_IMG_PATH "/logo06.ppm"); + typedef boost::filesystem::path t_path; + typedef boost::filesystem::directory_iterator t_iter_path; + + t_path full_path[] = {t_path(ANNOTING_BILL_IMG_PATH), + t_path(ANNOTING_FAX_IMG_PATH), + t_path(ANNOTING_HANDWRITTEN_IMG_PATH), + t_path(ANNOTING_LOGO_IMG_PATH), + t_path(ANNOTING_MAP_IMG_PATH), + t_path(ANNOTING_PHOTO_IMG_PATH), + t_path(ANNOTING_SCREENSHOT_IMG_PATH), + t_path(ANNOTING_SLIDE_IMG_PATH), + t_path(ANNOTING_TYPED_IMG_PATH)}; + + for (int i = 0; i < 9; ++i) + { + std::cerr << "entering " << full_path[i] << std::endl; + std::cout << "entering " << full_path[i] << std::endl; -// std::cout << "nb color : " << val << std::endl; + if (boost::filesystem::exists(full_path[i]) && + boost::filesystem::is_directory(full_path[i])) + { + boost::filesystem::system_complete(full_path[i]); + const t_iter_path end_iter; + float count = 0; + float sum1 = 0; + float sum2 = 0; + + for (t_iter_path dir_iter(full_path[i]); end_iter != dir_iter; ++dir_iter) + { + float val = stddev_color(dir_iter->path().string()); + + ++count; + sum1 += val; + sum2 += val*val; + + std::cout << dir_iter->path().string() << " => " << val << std::endl; + // FIXME NB COULEURS BRUTES + // FIXME NB DE COULEURS + // FIXME LISTE DES COULEURS + // IMPORTANCES + } + + float mean = sum1 / count; + float var = ((float)sum2 / count) - (mean * mean); + + std::cout << "mean : " << mean << std::endl; + std::cout << "var : " << var << std::endl; + } + } return 0; } - -- 1.5.6.5

14 years, 10 months

last-svn-commit-8-g03c3d97 2009-12-15 Yann Jacquelet <jacquelet@lrde.epita.fr>

by green

Introduce clipart operators described by Millet. * green/demo/annoting/nb_color: New demonstration directory. * green/demo/annoting/nb_color/Makefile.am: New Makefile. * green/demo/annoting/nb_color/nb_color.cc: New source file. * green/demo/annoting/stddev_color: New demonstration directory. * green/demo/annoting/stddev_color/Makefile.am: New Makefile. * green/demo/annoting/stddev_color/stddev_color.cc: New source file. --- milena/sandbox/ChangeLog | 12 ++ .../demo/annoting/{bic => nb_color}/Makefile.am | 0 .../green/demo/annoting/nb_color/nb_color.cc | 101 ++++++++++++++++ .../annoting/{bic => stddev_color}/Makefile.am | 0 .../demo/annoting/stddev_color/stddev_color.cc | 124 ++++++++++++++++++++ 5 files changed, 237 insertions(+), 0 deletions(-) copy milena/sandbox/green/demo/annoting/{bic => nb_color}/Makefile.am (100%) create mode 100644 milena/sandbox/green/demo/annoting/nb_color/nb_color.cc copy milena/sandbox/green/demo/annoting/{bic => stddev_color}/Makefile.am (100%) create mode 100644 milena/sandbox/green/demo/annoting/stddev_color/stddev_color.cc diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog index aed61bf..db8bd10 100644 --- a/milena/sandbox/ChangeLog +++ b/milena/sandbox/ChangeLog @@ -1,3 +1,15 @@ +2009-12-15 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + + Introduce clipart operators described by Millet. + + * green/demo/annoting/nb_color: New demonstration directory. + * green/demo/annoting/nb_color/Makefile.am: New Makefile. + * green/demo/annoting/nb_color/nb_color.cc: New source file. + + * green/demo/annoting/stddev_color: New demonstration directory. + * green/demo/annoting/stddev_color/Makefile.am: New Makefile. + * green/demo/annoting/stddev_color/stddev_color.cc: New source file. + 2009-12-02 Yann Jacquelet <jacquelet(a)lrde.epita.fr> Optimize regional maxima processing for statistical counts and outputs. diff --git a/milena/sandbox/green/demo/annoting/bic/Makefile.am b/milena/sandbox/green/demo/annoting/nb_color/Makefile.am similarity index 100% copy from milena/sandbox/green/demo/annoting/bic/Makefile.am copy to milena/sandbox/green/demo/annoting/nb_color/Makefile.am diff --git a/milena/sandbox/green/demo/annoting/nb_color/nb_color.cc b/milena/sandbox/green/demo/annoting/nb_color/nb_color.cc new file mode 100644 index 0000000..9ad5666 --- /dev/null +++ b/milena/sandbox/green/demo/annoting/nb_color/nb_color.cc @@ -0,0 +1,101 @@ +// COUNTING THE IMAGE COLORS + +#include <iostream> +#include <sstream> + +#include <mln/img_path.hh> + +#include <mln/accu/math/sum.hh> +#include <mln/accu/math/count.hh> +#include <mln/accu/stat/histo3d_rgb.hh> +#include <mln/accu/stat/mean.hh> +#include <mln/accu/stat/variance.hh> + +#include <mln/algebra/vec.hh> + +#include <mln/arith/diff_abs.hh> + +#include <mln/core/macros.hh> +#include <mln/core/alias/neighb3d.hh> +#include <mln/core/image/image2d.hh> +#include <mln/core/image/image3d.hh> +#include <mln/core/image/dmorph/image_if.hh> +#include <mln/core/routine/initialize.hh> + +#include <mln/data/compute.hh> +#include <mln/data/fill.hh> +#include <mln/data/transform.hh> + +#include <mln/fun/v2v/rgb8_to_rgbn.hh> + +#include <mln/io/pgm/load.hh> +#include <mln/io/pgm/save.hh> +#include <mln/io/ppm/load.hh> +#include <mln/io/ppm/save.hh> + +#include <mln/labeling/regional_maxima.hh> +#include <mln/labeling/mean_values.hh> +#include <mln/labeling/compute.hh> + +#include <mln/literal/colors.hh> + +#include <mln/morpho/opening/volume.hh> +#include <mln/morpho/elementary/dilation.hh> + +#include <mln/opt/at.hh> + +#include <mln/pw/cst.hh> + +#include <mln/util/array.hh> +#include <mln/util/timer.hh> + +#include <mln/value/label_8.hh> +#include <mln/value/rgb8.hh> +#include <mln/value/rgb.hh> +#include <mln/value/int_u.hh> + + +// n < 8, n is the degree of quantification +template <unsigned n> +unsigned count_image_color(const std::string& image) +{ + typedef mln::value::int_u8 t_int_u8; + typedef mln::value::rgb8 t_rgb8; + typedef mln::value::rgb<n> t_rgbn; + typedef mln::image2d<t_rgb8> t_image2d_rgb8; + typedef mln::image2d<t_rgbn> t_image2d_rgbn; + typedef mln::image3d<unsigned> t_histo3d; + typedef mln::fun::v2v::rgb8_to_rgbn<n> t_rgb8_to_rgbn; + typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun; + typedef mln::accu::meta::math::count t_count_fun; + + t_image2d_rgb8 input_rgb8; + t_image2d_rgbn input_rgbn; + t_image2d_rgbn output_rgbn; + t_histo3d histo; + t_histo3d opened; + + mln::io::ppm::load(input_rgb8, image.c_str()); + + unsigned nb_pixel = input_rgb8.ncols() * input_rgb8.nrows(); +// unsigned min_volume = (unsigned)(nb_pixel * 0.054); + unsigned nb_color = 0; + + input_rgbn = mln::data::transform(input_rgb8, t_rgb8_to_rgbn()); + histo = mln::data::compute(t_histo3d_fun(), input_rgbn); + nb_color = mln::data::compute(t_count_fun(), + (histo | (mln::pw::value(histo) != 0)).rw()); + + return nb_color; +} + + +int main() +{ + unsigned val = count_image_color<8>(ANNOTING_PHOTO_IMG_PATH "/photo01.ppm"); + + std::cout << "nb color : " << val << std::endl; + + return 0; +} + diff --git a/milena/sandbox/green/demo/annoting/bic/Makefile.am b/milena/sandbox/green/demo/annoting/stddev_color/Makefile.am similarity index 100% copy from milena/sandbox/green/demo/annoting/bic/Makefile.am copy to milena/sandbox/green/demo/annoting/stddev_color/Makefile.am diff --git a/milena/sandbox/green/demo/annoting/stddev_color/stddev_color.cc b/milena/sandbox/green/demo/annoting/stddev_color/stddev_color.cc new file mode 100644 index 0000000..0782e9c --- /dev/null +++ b/milena/sandbox/green/demo/annoting/stddev_color/stddev_color.cc @@ -0,0 +1,124 @@ +// COMPUTING THE STDEV OF THE COLORS + +#include <iostream> +#include <sstream> + +#include <mln/img_path.hh> + +#include <mln/accu/max_site.hh> +#include <mln/accu/stat/histo1d.hh> + +#include <mln/core/macros.hh> +#include <mln/core/image/image1d.hh> +#include <mln/core/image/image2d.hh> +#include <mln/core/image/image3d.hh> + +#include <mln/debug/println.hh> + +#include <mln/data/compute.hh> +#include <mln/data/fill.hh> +#include <mln/data/transform.hh> + +#include <mln/fun/v2v/rgb8_to_int_u8.hh> + +#include <mln/io/ppm/load.hh> +#include <mln/io/pgm/save.hh> +#include <mln/io/plot/save_image_sh.hh> + +#include <mln/math/sqr.hh> + +#include <mln/opt/at.hh> + +#include <mln/value/rgb8.hh> +#include <mln/value/int_u.hh> + + +// FIXME REPARER L'ACCUMULATEUR MAX_SITE +// FIXME PENSER LA VARIANCE SUR UN HISTOGRAMME NORMALISE, VOIR LES RESULTATS + +float r(short p, unsigned histo_p, short x, unsigned histo_x) +{ + float result = mln::math::sqr(((float)histo_x / histo_p) * (x-p)); + + return result; +} + +unsigned stddev_color(const std::string& image) +{ + typedef mln::point1d t_point1d; + typedef mln::value::rgb8 t_rgb8; + typedef mln::value::int_u8 t_int_u8; + typedef mln::image2d<t_rgb8> t_image2d_rgb8; + typedef mln::image2d<t_int_u8> t_image2d_int_u8; + typedef mln::image1d<unsigned> t_histo1d; + typedef mln::fun::v2v::rgb8_to_int_u8 t_rgb8_to_int_u8; + typedef mln::accu::meta::stat::histo1d t_histo1d_fun; + typedef mln::accu::max_site<t_histo1d> t_max_site_fun; + + t_image2d_rgb8 input_rgb8; + t_image2d_int_u8 input_int_u8; + t_histo1d histo; + t_point1d max_site; + + mln::io::ppm::load(input_rgb8, image.c_str()); + input_int_u8 = mln::data::transform(input_rgb8, t_rgb8_to_int_u8()); + histo = mln::data::compute(t_histo1d_fun(), input_int_u8); + + mln::io::pgm::save(input_int_u8, "tmp.pgm"); + mln::io::plot::save_image_sh(histo, "histo.sh"); + mln::debug::println(histo); + + // Find the peak of the histogram + unsigned v_max = mln::opt::at(histo, 0); + short p_max = 0; + + mln_piter_(t_histo1d) p(histo.domain()); + + for_all(p) + { + if (v_max < histo(p)) + { + v_max = histo(p); + p_max = p.ind(); + } + } + + // Compute the specific stddev + + float stddev_low = 0.0; + float stddev_up = 0.0; + float stddev = 0.0; + + if (250 > p_max) + for (short i = p_max+1; i < p_max+6; ++i) + stddev_up += r(p_max, mln::opt::at(histo,p_max), + i, mln::opt::at(histo,i)); + + if (5 < p_max) + for (short i = p_max-1; i > p_max-6; --i) + stddev_low += r(p_max, mln::opt::at(histo,p_max), + i, mln::opt::at(histo,i)); + + stddev = (250 < p_max)? stddev_low : (5 > p_max)? stddev_up : + (stddev_low + stddev_up)/2; + + std::cout << "max_site : " << p_max << std::endl; + std::cout << "h(max_site) : " << v_max << std::endl; + std::cout << "stddev_up : " << stddev_up << std::endl; + std::cout << "stddev_low : " << stddev_low << std::endl; + std::cout << "stddev : " << stddev << std::endl; + + return 0; +} + + +int main() +{ +// unsigned val = stdev_color(ANNOTING_PHOTO_IMG_PATH "/photo01.ppm"); + unsigned val = stddev_color(ANNOTING_LOGO_IMG_PATH "/logo06.ppm"); + +// std::cout << "nb color : " << val << std::endl; + + return 0; +} + -- 1.5.6.5

14 years, 10 months

last-svn-commit-7-g0c4e1cb 2009-12-02 Yann Jacquelet <jacquelet@lrde.epita.fr>

by green

Optimize regional maxima processing for statistical counts and outputs. * green/demo/labeling/regional_maxima/Makefile.am: Add some compilation directives. * green/demo/labeling/regional_maxima/regional_maxima.cc (t_channel,t_labeling_rgbn,label_image,unquant,print_count2): New. * green/demo/labeling/regional_maxima/regional_maxima.cc (print_count, merge, do_demo) : Update. --- milena/sandbox/ChangeLog | 14 +- .../demo/labeling/regional_maxima/Makefile.am | 2 + .../labeling/regional_maxima/regional_maxima.cc | 661 ++++++++++++++------ 3 files changed, 471 insertions(+), 206 deletions(-) diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog index 37cce8a..aed61bf 100644 --- a/milena/sandbox/ChangeLog +++ b/milena/sandbox/ChangeLog @@ -1,9 +1,21 @@ 2009-12-02 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Optimize regional maxima processing for statistical counts and outputs. + + * green/demo/labeling/regional_maxima/Makefile.am: Add some compilation + directives. + * green/demo/labeling/regional_maxima/regional_maxima.cc + (t_channel,t_labeling_rgbn,label_image,unquant,print_count2): New. + * green/demo/labeling/regional_maxima/regional_maxima.cc + (print_count, merge, do_demo) : Update. + + +2009-12-02 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Test experimentation with regmax code on annoting database. * green/exp/labeling/regional_maxima/Makefile.am: New Makefile. - * green/exp/clustering/regional_maxima/regional_maxima.cc: New directory + * green/exp/labeling/regional_maxima/regional_maxima.cc: New directory oriented demonstration code. 2009-12-02 Yann Jacquelet <jacquelet(a)lrde.epita.fr> diff --git a/milena/sandbox/green/demo/labeling/regional_maxima/Makefile.am b/milena/sandbox/green/demo/labeling/regional_maxima/Makefile.am index 91230b6..1dd1cfb 100644 --- a/milena/sandbox/green/demo/labeling/regional_maxima/Makefile.am +++ b/milena/sandbox/green/demo/labeling/regional_maxima/Makefile.am @@ -8,6 +8,8 @@ INCLUDES= -I$(HOME)/svn/oln/trunk/milena/sandbox/green CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +#CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +#CXXFLAGS= -DNDEBUG -O3 -Wall -W -pedantic -ansi -pipe $(INCLUDES) ECHO= echo RM= rm MKDIR= mkdir -p diff --git a/milena/sandbox/green/demo/labeling/regional_maxima/regional_maxima.cc b/milena/sandbox/green/demo/labeling/regional_maxima/regional_maxima.cc index 34801ed..266fbfe 100644 --- a/milena/sandbox/green/demo/labeling/regional_maxima/regional_maxima.cc +++ b/milena/sandbox/green/demo/labeling/regional_maxima/regional_maxima.cc @@ -1,66 +1,257 @@ // DEMO ON REGIONAL MAXIMA -#include <mln/clustering/kmean2d.hh> - #include <iostream> #include <sstream> #include <mln/img_path.hh> -#include <mln/pw/value.hh> -#include <mln/value/label_8.hh> -#include <mln/value/rgb8.hh> +#include <mln/accu/math/sum.hh> +#include <mln/accu/stat/histo3d_rgb.hh> +#include <mln/accu/stat/mean.hh> +#include <mln/accu/stat/variance.hh> + +#include <mln/algebra/vec.hh> + +// #include <mln/arith/revert.hh> +#include <mln/arith/diff_abs.hh> #include <mln/core/macros.hh> +#include <mln/core/alias/neighb3d.hh> #include <mln/core/image/image2d.hh> #include <mln/core/image/image3d.hh> +#include <mln/core/routine/initialize.hh> +#include <mln/data/compute.hh> +#include <mln/data/fill.hh> +// #include <mln/data/stretch.hh> #include <mln/data/transform.hh> + +// #include <mln/display/display_histo.hh> + #include <mln/fun/v2v/rgb8_to_rgbn.hh> -#include <mln/io/ppm/load.hh> #include <mln/io/pgm/load.hh> #include <mln/io/pgm/save.hh> +#include <mln/io/ppm/load.hh> #include <mln/io/ppm/save.hh> -#include <mln/io/plot/save_image_sh.hh> - -#include <mln/accu/stat/histo3d_rgb.hh> -#include <mln/data/compute.hh> +// #include <mln/io/plot/save_image_sh.hh> -#include <mln/arith/revert.hh> #include <mln/labeling/regional_maxima.hh> -#include <mln/core/alias/neighb3d.hh> -#include <mln/core/routine/initialize.hh> +#include <mln/labeling/mean_values.hh> +#include <mln/labeling/compute.hh> + #include <mln/literal/colors.hh> -#include <mln/morpho/watershed/flooding.hh> + +// #include <mln/morpho/watershed/flooding.hh> #include <mln/morpho/opening/volume.hh> #include <mln/morpho/elementary/dilation.hh> -#include <mln/data/stretch.hh> -#include <mln/display/display_histo.hh> -#include <mln/labeling/mean_values.hh> +#include <mln/opt/at.hh> + +// #include <mln/pw/value.hh> + +#include <mln/util/array.hh> +#include <mln/util/timer.hh> + +#include <mln/value/label_8.hh> +#include <mln/value/rgb8.hh> +#include <mln/value/rgb.hh> +#include <mln/value/int_u.hh> + + +template <unsigned n, unsigned ch> +struct t_channel : mln::Function_v2v< t_channel<n,ch> > +{ + typedef mln::value::rgb<n> t_rgbn; + typedef mln::value::int_u<n> t_int_un; + typedef t_rgbn argument; + typedef t_int_un result; + + result operator()(const argument& c) const + { + result tmp; + + switch(ch) + { + case 0: tmp = c.red(); break; + case 1: tmp = c.green(); break; + case 2: tmp = c.blue(); break; + } + + return tmp; + } +}; + + +// version optimisée de labeling + +template <unsigned n> +struct t_labeling_rgbn : mln::Function_v2v< t_labeling_rgbn<n> > +{ + typedef mln::value::rgb<n> t_rgbn; + typedef mln::value::label_8 t_lbl8; + typedef t_rgbn argument; + typedef t_lbl8 result; + typedef mln::image3d<t_lbl8> t_label; + + const t_label& _label; + + t_labeling_rgbn(const t_label& label) : _label(label) {} + + result operator()(const argument& c) const + { + t_lbl8 tmp = mln::opt::at(_label, c.blue(), c.red(), c.green()); + + return tmp; + } +}; + +// version non optimisée de label + +template <unsigned n> mln::image2d<mln::value::label_8> -label_image(const mln::image2d<mln::value::rgb<5> >& input, - const mln::image3d<mln::value::label_8>& label) +label_image(const mln::image2d< mln::value::rgb<n> >& input, + const mln::image3d< mln::value::label_8>& label) { - mln::image2d<mln::value::label_8> output(input.nrows(), - input.ncols()); + mln::image2d<mln::value::label_8> output; + + initialize(output, input); - mln_piter_(mln::image2d<mln::value::label_8>) po(output.domain()); - mln_piter_(mln::image2d<mln::value::rgb<5> >) pi(input.domain()); + mln_piter(mln::image2d< mln::value::label_8 >) po(output.domain()); + mln_piter(mln::image2d< mln::value::rgb<n> >) pi(input.domain()); for_all_2(po, pi) { - output(po) = label(mln::point3d(input(pi).blue(), - input(pi).red(), - input(pi).green())); + const mln::value::rgb<n>& vi = input(pi); + + output(po) = mln::opt::at(label, vi.blue(), vi.red(), vi.green()); } return output; } +template <unsigned n> +unsigned unquant(const float& value) +{ + unsigned size = pow(2,(8-n)); + unsigned result = value * size; + + return result; +} + +template <unsigned n> +void print_count2(const mln::image2d<mln::value::rgb<n> >& input_rgbn, + const mln::image3d<unsigned>& histo, + const mln::image3d<mln::value::label_8>& label, + const unsigned n_labels) +{ + typedef mln::value::label_8 t_lbl8; + typedef mln::value::rgb<n> t_rgbn; + typedef mln::value::int_u<n> t_int_un; + typedef mln::algebra::vec<3,float> t_vec3f; + typedef mln::accu::math::sum<unsigned,unsigned> t_sum; + typedef mln::accu::stat::mean<t_vec3f,t_vec3f,t_vec3f> t_mean; + typedef mln::accu::math::sum<t_vec3f,t_vec3f> t_diff; + typedef mln::accu::stat::variance<float,float,float> t_var; + typedef mln::image2d<t_lbl8> t_image2d_lbl8; + typedef mln::image2d<t_rgbn> t_image2d_rgbn; + typedef mln::image2d<t_int_un> t_image2d_int_un; + + mln::util::array<t_mean> mean((unsigned)(n_labels)+1); +// mln::util::array<t_diff> diff((unsigned)(n_labels)+1); + mln::util::array<t_var> var_red((unsigned)(n_labels)+1); + mln::util::array<t_var> var_green((unsigned)(n_labels)+1); + mln::util::array<t_var> var_blue((unsigned)(n_labels)+1); + mln::util::array<t_sum> count((unsigned)(n_labels)+1); + mln::util::array<float> abs((unsigned)(n_labels)+1); + mln::util::array<float> rel((unsigned)(n_labels)+1); + unsigned nb = 0; + + for (unsigned i = 0; i <= n_labels; ++i) + { + count(i).init(); + mean(i).init(); +// diff(i).init(); + var_red(i).init(); + var_green(i).init(); + var_blue(i).init(); + abs[i] = 0.0; + rel[i] = 0.0; + } + + mln::labeling::compute(count, histo, label, n_labels); + + for (unsigned i = 0; i <= n_labels; ++i) + { + unsigned c = count[i]; + nb += c; + } + + for (unsigned i = 0; i <= n_labels; ++i) + if (0 < count[i]) + { + abs[i] = ((float)count[i] / nb)*100.0; + rel[i] = ((float)count[i] / (nb - count[0]))*100.0; + } + + t_image2d_lbl8 label_img = mln::data::transform(input_rgbn, + t_labeling_rgbn<n>(label)); + + mln::labeling::compute(mean, input_rgbn, label_img, n_labels); + + +// t_image2d_rgbn mean_rgbn = mln::labeling::mean_values(input_rgbn, +// label_img, +// n_labels); +// t_image2d_int_un mean_red =mln::data::transform(mean_rgbn,t_channel<n>()); +// t_image2d_int_un mean_green=mln::data::transform(mean_rgbn,t_channel<n>()); +// t_image2d_int_un mean_blue =mln::data::transform(mean_rgbn,t_channel<n>()); + + t_image2d_int_un input_red =mln::data::transform(input_rgbn, + t_channel<n,0>()); + t_image2d_int_un input_green=mln::data::transform(input_rgbn, + t_channel<n,1>()); + t_image2d_int_un input_blue =mln::data::transform(input_rgbn, + t_channel<n,2>()); + +// FIXME VARIANCE NEGATIVE DANS LES RESULTATS !! + +// mln::labeling::compute(var_red, input_rgbn, label_img, n_labels); +// mln::labeling::compute(var_green, input_rgbn, label_img, n_labels); +// mln::labeling::compute(var_blue, input_rgbn, label_img, n_labels); + +// t_image2d_rgbn diff_rgbn = mln::arith::diff_abs(input_rgbn, mean_rgbn); + + std::cout << mln::labeling::compute(var_red, input_red, label_img, n_labels)(29) << std::endl; +// mln::labeling::compute(t_var(), input_red, label_img, n_labels); + mln::labeling::compute(var_green, input_green, label_img, n_labels); + mln::labeling::compute(var_blue, input_blue, label_img, n_labels); + + for (unsigned i = 0; i <= n_labels; ++i) + { + if (5.0 < abs[i] && 10.0 < rel[i]) + { + const t_vec3f& mean_v = mean[i]; +// const t_vec3f& diff_v = diff[i]; + + std::cout << i << " :[" << unquant<n>(mean_v[0]) +// << "(" << diff_v[0] + << "(" << var_red[i] + << ")," << unquant<n>(mean_v[1]) +// << "(" << diff_v[1] + << "(" << var_green[i] + << ")," << unquant<n>(mean_v[2]) +// << "(" << diff_v[2] + << "(" << var_blue[i] + << ")]- " << count[i] + << " - " << abs[i] + << " - " << rel[i] + << std::endl; + } + } +} void print_count(const mln::image3d<unsigned>& histo, const mln::image3d<mln::value::label_8>& label, @@ -70,66 +261,116 @@ void print_count(const mln::image3d<unsigned>& histo, unsigned red[255]; unsigned green[255]; unsigned blue[255]; + unsigned nb = 0; + unsigned tmp = 0; - for (unsigned i = 0; i < n_labels; ++i) + for (unsigned i = 0; i <= n_labels; ++i) { count[i] = 0; - red[i] = 0.0; - green[i] = 0.0; - blue[i] = 0.0; + red[i] = 0; + green[i] = 0; + blue[i] = 0; } - mln_piter_(mln::image3d<unsigned>) ph(histo.domain()); - mln_piter_(mln::image3d<mln::value::label_8>) pl(label.domain()); + mln_piter_(mln::image3d<unsigned>) p(histo.domain()); - for_all_2(ph, pl) + for_all(p) { - count[label(pl)] += histo(ph); - red[label(pl)] += histo(ph) * pl.row(); - green[label(pl)] += histo(ph) * pl.col(); - blue[label(pl)] += histo(ph) * pl.sli(); + count[label(p)] += histo(p); + red[label(p)] += histo(p) * p.row(); + green[label(p)] += histo(p) * p.col(); + blue[label(p)] += histo(p) * p.sli(); + nb += histo(p); + ++tmp; } std::cout << std::endl; - for (unsigned i = 0; i < n_labels; ++i) - { - red[i] = red[i] / count[i]; - green[i] = green[i] / count[i]; - blue[i] = blue[i] / count[i]; + std::cout << "nb : " << nb << std::endl; + std::cout << "tmp : " << tmp << std::endl; - std::cout << "count[" << i << "](" - << red[i] << ", " << green[i] << ", " - << blue[i] << ") = " << count[i] << std::endl; - } + std::cout << std::endl; + + for (unsigned i = 0; i <= n_labels; ++i) + if (0 < count[i]) + { + float percentage_abs = ((float)count[i] / nb)*100.0; + float percentage_rel = ((float)count[i] / (nb - count[0]))*100.0; + + red[i] = red[i] / count[i]; + green[i] = green[i] / count[i]; + blue[i] = blue[i] / count[i]; + + std::cout << "count[" << i << "](" + << red[i] << ", " << green[i] << ", " + << blue[i] << ") = " << count[i] << "(" + << percentage_abs << "%)"; + + if (0 < i) + std::cout << "[" << percentage_rel << "%]"; + + std::cout << std::endl; + } std::cout << std::endl; } -mln::image2d<mln::value::rgb<5> > -merge(const mln::image2d<mln::value::rgb<5> >& input, - const mln::image3d<mln::value::label_8>& label) +// Version optimisée de merge + +template <unsigned n> +struct t_merge_lbl8_with_rgbn : mln::Function_v2v< t_merge_lbl8_with_rgbn<n> > { - mln::image2d<mln::value::rgb<5> > output; + typedef mln::value::rgb<n> t_rgbn; + typedef mln::value::label_8 t_lbl8; + typedef t_rgbn argument; + typedef t_rgbn result; + typedef mln::image3d<t_lbl8> t_label; + + const t_label& _label; + + t_merge_lbl8_with_rgbn(const t_label& label) : _label(label) {} + + result operator()(const argument& c) const + { + t_rgbn tmp = c; + + if (0 == mln::opt::at(_label, c.blue(), c.red(), c.green())) + { + tmp = mln::literal::black; + } + + return tmp; + } +}; + +// version non optimisée de merge + +template <unsigned n> +mln::image2d< mln::value::rgb<n> > +merge(const mln::image2d< mln::value::rgb<n> >& input, + const mln::image3d< mln::value::label_8 >& label) +{ + mln::image2d<mln::value::rgb<n> > output; mln::initialize(output, input); + // mln::data::fill(output, mln::literal::green); - mln_piter_(mln::image2d<mln::value::rgb<5> >) pi(input.domain()); - mln_piter_(mln::image2d<mln::value::rgb<5> >) po(output.domain()); + mln_piter(mln::image2d< mln::value::rgb<n> >) pi(input.domain()); + mln_piter(mln::image2d< mln::value::rgb<n> >) po(output.domain()); for_all_2(pi, po) { - if (0 < label(mln::point3d(input(pi).blue(), - input(pi).red(), - input(pi).green()))) + const mln::value::rgb<n>& vi = input(pi); + mln::value::rgb<n>& vo = output(po); + + if (0 < mln::opt::at(label,vi.blue(),vi.red(),vi.green())) { - output(po).red() = input(pi).red(); - output(po).green() = input(pi).green(); - output(po).blue() = input(pi).blue(); + vo.red() = vi.red(); + vo.green() = vi.green(); + vo.blue() = vi.blue(); } else - output(po) = mln::literal::red; - //output(po) = mln::literal::black; + vo = mln::literal::black; } return output; @@ -137,78 +378,180 @@ merge(const mln::image2d<mln::value::rgb<5> >& input, // -// Regional maxima image processing chain. -// RGB8 +// Theo regional maxima image processing chain. // -void do_demo(const std::string& image) + +// FIXME C'est la dilatation qui fait apparaître des classes < min_volume. +// Une couleur se dilate au détriment du fond et des autres couleurs. + +int main2() { + const unsigned min_volume = 1000; + //const std::string& image = OLENA_IMG_PATH"/fly.ppm"; + const std::string& image = SCRIBO_PPM_IMG_PATH"/mp00082c_50p.ppm"; + //const std::string& image = OLENA_IMG_PATH"/tiny.ppm"; + typedef mln::value::label_8 t_lbl8; - typedef mln::value::int_u8 t_int_u8; typedef mln::value::rgb8 t_rgb8; typedef mln::value::rgb<5> t_rgb5; - typedef mln::image3d<t_lbl8> t_image3d_lbl8; - typedef mln::image2d<t_lbl8> t_image2d_lbl8; typedef mln::image2d<t_rgb8> t_image2d_rgb8; typedef mln::image2d<t_rgb5> t_image2d_rgb5; - typedef mln::image2d<t_int_u8> t_image2d_int_u8; - typedef mln::image3d<unsigned> t_histo3d; - typedef mln::image2d<unsigned> t_histo2d; - typedef mln::fun::v2v::rgb8_to_rgbn<5> t_rgb8_to_rgbn; + typedef mln::image3d<t_lbl8> t_image3d_lbl8; + typedef mln::image3d<unsigned> t_image3d_unsigned; + typedef mln::fun::v2v::rgb8_to_rgbn<5> t_rgb8_to_rgb5; typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun; + typedef mln::accu::math::sum<unsigned,unsigned> t_sum; + + mln::util::timer timer; + + // START IMAGE PROCESSING CHAIN + timer.start(); t_image2d_rgb8 input_rgb8; t_image2d_rgb5 input_rgb5; - t_image2d_rgb5 output_rgb5; - t_image2d_rgb5 mean_rgb5; - t_histo3d histo; - t_image2d_int_u8 projected; - t_image2d_int_u8 filtered; - t_histo3d opened; + t_image3d_unsigned histo; + t_image3d_unsigned opened; t_image3d_lbl8 label; - t_image2d_lbl8 label_img; t_image3d_lbl8 dilated; t_lbl8 n_labels; - t_rgb5 value_rgb5; - // IMAGE LOADING PHASE - std::cout << "Image loading phase ..." << std::endl; mln::io::ppm::load(input_rgb8, image.c_str()); - input_rgb5 = mln::data::transform(input_rgb8, t_rgb8_to_rgbn()); - mln::io::ppm::save(input_rgb5, "input_rgb5.ppm"); + input_rgb5 = mln::data::transform(input_rgb8, t_rgb8_to_rgb5()); + histo = mln::data::compute(t_histo3d_fun(), input_rgb5); + opened = mln::morpho::opening::volume(histo, mln::c6(), min_volume); + label = mln::labeling::regional_maxima(opened, mln::c6(), n_labels); + dilated = mln::morpho::elementary::dilation(label, mln::c26()); + + mln::util::array<t_sum> length((unsigned)(n_labels)+1); + + for (unsigned i = 0; i <= n_labels; ++i) + length(i).init(); + mln::labeling::compute(length, histo, dilated, n_labels); - // HISTO COMPUTING PHASE - std::cout << "Histo computing phase ..." << std::endl; - histo = mln::data::compute(t_histo3d_fun(), input_rgb5); - projected = mln::display::display_histo3d_unsigned(histo); + timer.stop(); + // STOP IMAGE PROCESSING CHAIN + + std::cout << "Done in " << timer.read() << " ms" << std::endl; + std::cout << "n_labels : " << n_labels << std::endl; + + for (unsigned i = 0; i <= n_labels; ++i) + { + std::cout << "count[" << i << "] = " << length[i] << std::endl; + } + + print_count(histo,label,n_labels); - mln::io::pgm::save(projected, "histo.pgm"); //mln::io::plot::save_image_sh(histo, "histo.sh"); + //mln::io::plot::save_image_sh(histo, "opened.sh"); + //mln::io::plot::save_image_sh(label, "label.sh"); - // HISTO FILTERING PHASE - std::cout << "Histo filtering phase ..." << std::endl;; - opened = mln::morpho::opening::volume(histo, mln::c6(), 1000); - mln::io::plot::save_image_sh(opened, "opened.sh"); - filtered = mln::display::display_histo3d_unsigned(opened); - mln::io::pgm::save(filtered, "filtered.pgm"); + return 0; +} +// n < 8, n is the degree of quantification +template <unsigned n> +void demo() +{ + const unsigned min_volume = 1000; + //const std::string& image = OLENA_IMG_PATH"/fly.ppm"; + const std::string& image = SCRIBO_PPM_IMG_PATH"/mp00082c_50p.ppm"; + //const std::string& image = OLENA_IMG_PATH"/tiny.ppm"; - // HISTO LABELING PHASE - std::cout << "Histo labeling phase ..." << std::endl; - label = mln::labeling::regional_maxima(opened, mln::c6(), n_labels); - mln::io::plot::save_image_sh(label, "label.sh"); + typedef mln::value::label_8 t_lbl8; + typedef mln::value::int_u8 t_int_u8; + typedef mln::value::rgb8 t_rgb8; + typedef mln::value::rgb<n> t_rgbn; + typedef mln::image3d<t_lbl8> t_image3d_lbl8; + typedef mln::image2d<t_lbl8> t_image2d_lbl8; + typedef mln::image2d<t_rgb8> t_image2d_rgb8; + typedef mln::image2d<t_rgbn> t_image2d_rgbn; + typedef mln::image2d<t_int_u8> t_image2d_int_u8; + typedef mln::image3d<unsigned> t_histo3d; + typedef mln::image2d<unsigned> t_histo2d; + typedef mln::fun::v2v::rgb8_to_rgbn<n> t_rgb8_to_rgbn; + typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun; + mln::util::timer timer; - // HISTO DILATING PHASE - std::cout << "Histo dilating phase ..." << std::endl; - dilated = mln::morpho::elementary::dilation(label, mln::c18()); - mln::io::plot::save_image_sh(dilated, "dilated.sh"); + // START OF IMAGE PROCESSING CHAIN + timer.start(); - // PRINTING PHASE - std::cout << "Labels : " << n_labels << std::endl; - print_count(histo, dilated, n_labels); + t_image2d_rgb8 input_rgb8; + t_image2d_rgbn input_rgbn; + t_image2d_rgbn output_rgbn; + // t_image2d_rgbn mean_rgb5; + t_histo3d histo; + // t_image2d_int_u8 projected; + // t_image2d_int_u8 filtered; + t_histo3d opened; + t_image3d_lbl8 label; + t_image2d_lbl8 label_img; + t_image3d_lbl8 dilated; + t_lbl8 n_labels; + // t_rgbn value_rgbn; + mln::io::ppm::load(input_rgb8, image.c_str()); + input_rgbn = mln::data::transform(input_rgb8, t_rgb8_to_rgbn()); + histo = mln::data::compute(t_histo3d_fun(), input_rgbn); + opened = mln::morpho::opening::volume(histo, mln::c6(), min_volume); + label = mln::labeling::regional_maxima(opened, mln::c6(), n_labels); + dilated = mln::morpho::elementary::dilation(label, mln::c26()); + + timer.stop(); + // END OF IMAGE PROCESSING CHAIN + + std::ostringstream name; + std::ostringstream name2; + std::ostringstream name3; + + name << "input_rgb" << n << ".ppm"; + name2 << "output_rgb" << n << ".ppm"; + name3 << "label_img" << n << ".pgm"; + + std::cout << "Done in : " << timer.read() << " s" << std::endl; + std::cout << "Labels : " << n_labels << std::endl; + std::cout << "Name : " << name.str() << std::endl; + + mln::io::ppm::save(input_rgbn, name.str()); + + mln::util::timer timer2; + + timer2.start(); + print_count2(input_rgbn, histo, dilated, n_labels); + timer2.stop(); + std::cout << "timer2 : " << timer2.read() << std::endl; + output_rgbn = mln::data::transform(input_rgbn, + t_merge_lbl8_with_rgbn<n>(label)); + // output_rgbn = merge<n>(input_rgbn, dilated); + mln::io::ppm::save(output_rgbn, name2.str()); + + label_img = mln::data::transform(input_rgbn, + t_labeling_rgbn<n>(label)); + // label_img = label_image<n>(input_rgbn, dilated); + mln::io::pgm::save(label_img, name3.str()); + + + // localiser les couleurs sur l'image (fond en black, le reste) + + // La dilatation englobe beaucoup plus de couleur, mais celles-ci ne + // sont pas forcément présentes dans l'image. Du coup, les classes ne + // bougent pas démeusurément. + +// mln::io::ppm::save(input_rgb5, "input_rgb5.ppm"); +// mln::io::plot::save_image_sh(input_rgb8, "input_rgb8.sh"); +// mln::io::plot::save_image_sh(input_rgb5, "input_rgb5.sh"); +// projected = mln::display::display_histo3d_unsigned(histo); +// mln::io::pgm::save(projected, "histo.pgm"); +// mln::io::plot::save_image_sh(histo, "histo.sh"); +// mln::io::plot::save_image_sh(opened, "opened.sh"); +// filtered = mln::display::display_histo3d_unsigned(opened); +// mln::io::pgm::save(filtered, "filtered.pgm"); +// mln::io::plot::save_image_sh(label, "label.sh"); + // mln::io::plot::save_image_sh(dilated, "dilated.sh"); + + /* // OUTPUT PHASE std::cout << "Output phase ..." << std::endl; output_rgb5 = merge(input_rgb5, dilated); @@ -221,113 +564,21 @@ void do_demo(const std::string& image) label_img = label_image(input_rgb5, dilated); mln::io::pgm::save(label_img, "label_img.pgm"); - // BUILDING MEAN VALUES std::cout << "Building mean values phase ..." << std::endl; mean_rgb5 = mln::labeling::mean_values(input_rgb5, label_img, n_labels); mln::io::ppm::save(mean_rgb5, "mean.ppm"); + */ } -void demo(const std::string& image = SCRIBO_PPM_IMG_PATH"/mp00082c_50p.ppm", - //const std::string& image = OLENA_IMG_PATH"/house.ppm", - const unsigned k_center = 2, - //const unsigned k_center = 3, - const unsigned n_times = 10, - const unsigned watch_dog = 10) -{ - std::cout << "----------------------------------------" << std::endl; - std::cout << "Launching the demo with these parameters" << std::endl; - std::cout << "image : " << image << std::endl; - std::cout << "k_center : " << k_center << std::endl; - std::cout << "n_times : " << n_times << std::endl; - std::cout << "watch_dog : " << watch_dog << std::endl; - std::cout << "----------------------------------------" << std::endl; - - do_demo(image); -} - -void usage(const int argc, const char *args[]) -{ - std::cout << "----------------------------------------" << std::endl; - std::cout << "argc : " << argc << std::endl; - - for (int i = 0; i < argc; ++i) - std::cout << "args[" << i << "] : " << args[i] << std::endl; - - std::cout << "----------------------------------------" << std::endl; - std::cout << "usage: kmean2d [image [k_center [n_times [watch_dog]]]]" - << std::endl; - std::cout << "pbm image (points to work with)" << std::endl; - std::cout << "unsigned k_center (number of centers)" << std::endl; - std::cout << "unsigned n_times (number of launching)" << std::endl; - std::cout << "unsigned watch_dog (convergence loop)" << std::endl; - std::cout << "----------------------------------------" << std::endl; -} - -bool char_to_unsigned(const bool status, const char *arg, unsigned& val) -{ - bool result = false; - - if (status) - { - std::istringstream arg_stream(arg); - - arg_stream >> val; - - result = !arg_stream.fail(); - } - - return result; -} - -bool char_to_string(const bool status, const char *arg, std::string& val) -{ - bool result = false; - - if (status) - { - std::istringstream arg_stream(arg); - - arg_stream >> val; - - return !arg_stream.fail(); - } - - return result; -} - -int main(const int argc, const char *args[]) +int main() { - std::string image("top"); - unsigned k_center; - unsigned watch_dog; - unsigned n_times; - bool status = true; - - switch (argc) - { - case 5: status = char_to_unsigned(status, args[4], watch_dog); - case 4: status = char_to_unsigned(status, args[3], n_times); - case 3: status = char_to_unsigned(status, args[2], k_center); - case 2: status = char_to_string(status, args[1], image); break; - case 1: status = true; break; - default: status = false; - } - - if (status) - { - switch (argc) - { - case 1: demo(); break; - case 2: demo(image); break; - case 3: demo(image, k_center); break; - case 4: demo(image, k_center, n_times); break; - case 5: demo(image, k_center, n_times, watch_dog); break; - } - } - else - usage(argc, args); - - return 0; + demo<2>(); // 2.26 s + demo<3>(); // 2.29 s + demo<4>(); // 2.29 s + demo<5>(); // 2.37 s + demo<6>(); // 3.19 s + demo<7>(); // 11.43 s + demo<8>(); // 96.19 s } -- 1.5.6.5

14 years, 10 months

last-svn-commit-6-gc121636 Test experimentation with regmax code on annoting database.

by green

* green/exp/labeling/regional_maxima/Makefile.am: New Makefile. * green/exp/clustering/regional_maxima/regional_maxima.cc: New directory oriented demonstration code. --- milena/sandbox/ChangeLog | 22 ++- .../labeling/regional_maxima}/Makefile.am | 8 +- .../labeling/regional_maxima/regional_maxima.cc | 156 ++++++++++++++++++++ 3 files changed, 175 insertions(+), 11 deletions(-) copy milena/sandbox/green/{demo/annoting/rgb_64 => exp/labeling/regional_maxima}/Makefile.am (95%) create mode 100644 milena/sandbox/green/exp/labeling/regional_maxima/regional_maxima.cc diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog index b3029e2..37cce8a 100644 --- a/milena/sandbox/ChangeLog +++ b/milena/sandbox/ChangeLog @@ -1,37 +1,45 @@ 2009-12-02 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Test experimentation with regmax code on annoting database. + + * green/exp/labeling/regional_maxima/Makefile.am: New Makefile. + * green/exp/clustering/regional_maxima/regional_maxima.cc: New directory + oriented demonstration code. + +2009-12-02 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Transform kmean object in a big function and then a canvas. * green/mln/clustering/kmean_rgb.hh: New library source code. - * green/demo/clustering/kmean_rgb/Makefile: New Makefile. + * green/demo/clustering/kmean_rgb/Makefile.am: New Makefile. * green/demo/clustering/kmean_rgb/kmean_rgb.cc: New demo. code. 2009-12-02 Yann Jacquelet <jacquelet(a)lrde.epita.fr> Benchmark on distance, preliminary work before optimizing kmean. - * green/bench/transform/distance/Makefile: New Makefile. + * green/bench/transform/distance/Makefile.am: New Makefile. * green/bench/transform/distance/distance.cc: New processing chain. 2009-12-02 Yann Jacquelet <jacquelet(a)lrde.epita.fr> Works on Millet2008 descriptors. - * green/mln/demo/annoting/bic/Makefile: New Makefile. + * green/mln/demo/annoting/bic/Makefile.am: New Makefile. * green/mln/demo/annoting/bic/bic.cc: New impl. of the bic descriptor. - * green/mln/demo/annoting/lep/Makefile: New Makefile. + * green/mln/demo/annoting/lep/Makefile.am: New Makefile. * green/mln/demo/annoting/lep/lep.cc: New impl. of the lep descriptor. - * green/mln/demo/annoting/project/Makefile: New Makefile. + * green/mln/demo/annoting/project/Makefile.am: New Makefile. * green/mln/demo/annoting/project/project.cc: New impl. of the project descriptor. - * green/mln/demo/annoting/rgb_64/Makefile: New Makefile. + * green/mln/demo/annoting/rgb_64/Makefile.am: New Makefile. * green/mln/demo/annoting/rgb_64/rgb_64.cc: New impl. of the rgb_64 descriptor. - * green/mln/demo/annoting/rgb_64_9/Makefile: New Makefile. + * green/mln/demo/annoting/rgb_64_9/Makefile.am: New Makefile. * green/mln/demo/annoting/rgb_64_9/rgb_64_9.cc: New impl. of the rgb_64_9 descriptor. diff --git a/milena/sandbox/green/demo/annoting/rgb_64/Makefile.am b/milena/sandbox/green/exp/labeling/regional_maxima/Makefile.am similarity index 95% copy from milena/sandbox/green/demo/annoting/rgb_64/Makefile.am copy to milena/sandbox/green/exp/labeling/regional_maxima/Makefile.am index 96eafb4..ab76e18 100644 --- a/milena/sandbox/green/demo/annoting/rgb_64/Makefile.am +++ b/milena/sandbox/green/exp/labeling/regional_maxima/Makefile.am @@ -8,15 +8,15 @@ INCLUDES= -I$(HOME)/svn/oln/trunk/milena/sandbox/green #CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES) -CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) -#CXXFLAGS= -DNDEBUG -O3 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +#CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +CXXFLAGS= -DNDEBUG -O3 -Wall -W -pedantic -ansi -pipe $(INCLUDES) ECHO= echo RM= rm MKDIR= mkdir -p CP= cp -SOURCE_PATTERN= green/demo -BUILD__PATTERN= green/build/demo +SOURCE_PATTERN= green/exp +BUILD__PATTERN= green/build/exp ifeq ($(findstring $(BUILD__PATTERN),$(PWD)), $(BUILD__PATTERN)) diff --git a/milena/sandbox/green/exp/labeling/regional_maxima/regional_maxima.cc b/milena/sandbox/green/exp/labeling/regional_maxima/regional_maxima.cc new file mode 100644 index 0000000..28b6b88 --- /dev/null +++ b/milena/sandbox/green/exp/labeling/regional_maxima/regional_maxima.cc @@ -0,0 +1,156 @@ +// EXPERIMENTATION ON REGIONAL MAXIMA +// COUNTING THE IMAGE COLORS + +#include <iostream> +#include <sstream> +#include <boost/filesystem.hpp> + +#include <mln/img_path.hh> + +#include <mln/accu/math/sum.hh> +#include <mln/accu/math/count.hh> +#include <mln/accu/stat/histo3d_rgb.hh> +#include <mln/accu/stat/mean.hh> +#include <mln/accu/stat/variance.hh> + +#include <mln/algebra/vec.hh> + +#include <mln/arith/diff_abs.hh> + +#include <mln/core/macros.hh> +#include <mln/core/alias/neighb3d.hh> +#include <mln/core/image/image2d.hh> +#include <mln/core/image/image3d.hh> +#include <mln/core/image/dmorph/image_if.hh> +#include <mln/core/routine/initialize.hh> + +#include <mln/data/compute.hh> +#include <mln/data/fill.hh> +#include <mln/data/transform.hh> + +#include <mln/fun/v2v/rgb8_to_rgbn.hh> + +#include <mln/io/pgm/load.hh> +#include <mln/io/pgm/save.hh> +#include <mln/io/ppm/load.hh> +#include <mln/io/ppm/save.hh> + +#include <mln/labeling/regional_maxima.hh> +#include <mln/labeling/mean_values.hh> +#include <mln/labeling/compute.hh> + +#include <mln/literal/colors.hh> + +#include <mln/morpho/opening/volume.hh> +#include <mln/morpho/elementary/dilation.hh> + +#include <mln/opt/at.hh> + +#include <mln/pw/cst.hh> + +#include <mln/util/array.hh> +#include <mln/util/timer.hh> + +#include <mln/value/label_8.hh> +#include <mln/value/rgb8.hh> +#include <mln/value/rgb.hh> +#include <mln/value/int_u.hh> + + +// LISTER UN REPERTOIRE +// ECRIRE UN FICHIER DE SYNTHESE SUR LA CLASSE +// + + +// n < 8, n is the degree of quantification +template <unsigned n> +unsigned count_image_color(const std::string& image) +{ + typedef mln::value::label_8 t_lbl8; + typedef mln::value::int_u8 t_int_u8; + typedef mln::value::rgb8 t_rgb8; + typedef mln::value::rgb<n> t_rgbn; + typedef mln::image3d<t_lbl8> t_image3d_lbl8; + typedef mln::image2d<t_lbl8> t_image2d_lbl8; + typedef mln::image2d<t_rgb8> t_image2d_rgb8; + typedef mln::image2d<t_rgbn> t_image2d_rgbn; + typedef mln::image2d<t_int_u8> t_image2d_int_u8; + typedef mln::image3d<unsigned> t_histo3d; + typedef mln::image2d<unsigned> t_histo2d; + typedef mln::fun::v2v::rgb8_to_rgbn<n> t_rgb8_to_rgbn; + typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun; + typedef mln::accu::meta::math::count t_count_fun; + + t_image2d_rgb8 input_rgb8; + t_image2d_rgbn input_rgbn; + t_image2d_rgbn output_rgbn; + t_histo3d histo; + t_histo3d opened; + t_image3d_lbl8 label; + t_image2d_lbl8 label_img; + t_image3d_lbl8 dilated; + t_lbl8 n_labels; + + mln::io::ppm::load(input_rgb8, image.c_str()); + + unsigned nb_pixel = input_rgb8.ncols() * input_rgb8.nrows(); + unsigned min_volume = (unsigned)(nb_pixel * 0.054); + + input_rgbn = mln::data::transform(input_rgb8, t_rgb8_to_rgbn()); + // FIXME UTILISER UN PREDICAT COMME FUN::CHESS + histo = mln::data::compute(t_histo3d_fun(), input_rgbn | mln::pw::value(0)); +// return mln::data::compute(t_count_fun(), input_rgbn); + // FIXME REALISER UN COUNT AVEC UN PREDICA SUR L'IMAGE + return nb_pixel; +// opened = mln::morpho::opening::volume(histo, mln::c6(), min_volume); +// label = mln::labeling::regional_maxima(opened, mln::c6(), n_labels); + +// return n_labels; +} + + +int main() +{ + typedef boost::filesystem::path t_path; + //typedef boost::filesystem::initial_path<t_path()> t_init_path; + typedef boost::filesystem::directory_iterator t_iter_path; + + t_path full_path(ANNOTING_TYPED_IMG_PATH); + + std::cout << "entering " << full_path << std::endl; + + if (//1 < argc && + boost::filesystem::exists(full_path) && + boost::filesystem::is_directory(full_path)) + { + boost::filesystem::system_complete(full_path); + const t_iter_path end_iter; + unsigned count = 0; + unsigned sum1 = 0; + unsigned sum2 = 0; + + for (t_iter_path dir_iter(full_path); end_iter != dir_iter; ++dir_iter) + { + unsigned val = count_image_color<5>(dir_iter->path().string()); + + ++count; + sum1 += val; + sum2 += val*val; + + std::cout << dir_iter->path().string() << " => " << val << std::endl; + // FIXME NB COULEURS BRUTES + // FIXME NB DE COULEURS + // FIXME LISTE DES COULEURS + // IMPORTANCES + } + + unsigned mean = sum1 / count; + unsigned var = sum2 / count - mean * mean; + + std::cout << "mean : " << mean << std::endl; + std::cout << "var : " << var << std::endl; + } + + return 0; +} + -- 1.5.6.5

14 years, 10 months

last-svn-commit-5-g9e772c6 Transform kmean object in a big function and then a canvas.

by green

* green/mln/clustering/kmean_rgb.hh: New library source code. * green/demo/clustering/kmean_rgb/Makefile: New Makefile. * green/demo/clustering/kmean_rgb/kmean_rgb.cc: New demo. code. --- milena/sandbox/ChangeLog | 8 + .../histo2d => clustering/kmean_rgb}/Makefile.am | 0 .../green/demo/clustering/kmean_rgb/kmean_rgb.cc | 91 ++ milena/sandbox/green/mln/clustering/kmean_rgb.hh | 973 ++++++++++++++++++++ 4 files changed, 1072 insertions(+), 0 deletions(-) copy milena/sandbox/green/demo/{accu/stat/histo2d => clustering/kmean_rgb}/Makefile.am (100%) create mode 100644 milena/sandbox/green/demo/clustering/kmean_rgb/kmean_rgb.cc create mode 100644 milena/sandbox/green/mln/clustering/kmean_rgb.hh diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog index a2cc751..b3029e2 100644 --- a/milena/sandbox/ChangeLog +++ b/milena/sandbox/ChangeLog @@ -1,5 +1,13 @@ 2009-12-02 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Transform kmean object in a big function and then a canvas. + + * green/mln/clustering/kmean_rgb.hh: New library source code. + * green/demo/clustering/kmean_rgb/Makefile: New Makefile. + * green/demo/clustering/kmean_rgb/kmean_rgb.cc: New demo. code. + +2009-12-02 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Benchmark on distance, preliminary work before optimizing kmean. * green/bench/transform/distance/Makefile: New Makefile. diff --git a/milena/sandbox/green/demo/accu/stat/histo2d/Makefile.am b/milena/sandbox/green/demo/clustering/kmean_rgb/Makefile.am similarity index 100% copy from milena/sandbox/green/demo/accu/stat/histo2d/Makefile.am copy to milena/sandbox/green/demo/clustering/kmean_rgb/Makefile.am diff --git a/milena/sandbox/green/demo/clustering/kmean_rgb/kmean_rgb.cc b/milena/sandbox/green/demo/clustering/kmean_rgb/kmean_rgb.cc new file mode 100644 index 0000000..36641b6 --- /dev/null +++ b/milena/sandbox/green/demo/clustering/kmean_rgb/kmean_rgb.cc @@ -0,0 +1,91 @@ +// DEMO ON KMEAN_RGB + +#include <mln/clustering/kmean_rgb.hh> + +#include <iostream> +#include <sstream> + +#include <mln/img_path.hh> + +#include <mln/core/macros.hh> +#include <mln/core/image/image2d.hh> +//#include <mln/core/image/dmorph/image_if.hh> + +#include <mln/data/transform.hh> +#include <mln/fun/v2v/rgb8_to_rgbn.hh> + +#include <mln/io/ppm/load.hh> +//#include <mln/io/pgm/load.hh> +#include <mln/io/pgm/save.hh> +//#include <mln/io/ppm/save.hh> +//#include <mln/io/plot/save_image_sh.hh> + +//#include <mln/pw/value.hh> + +//#include <mln/value/int_u8.hh> +#include <mln/value/label_8.hh> +#include <mln/value/rgb8.hh> + +int main() +{ + const std::string& image = OLENA_IMG_PATH"/house.ppm"; + const unsigned k_center = 3; + const unsigned n_times = 10; + const unsigned watch_dog = 10; + + typedef mln::value::label_8 t_lbl8; + typedef mln::value::rgb8 t_rgb8; + typedef mln::value::rgb<5> t_rgb5; + typedef mln::image2d<t_rgb8> t_image2d_rgb8; + typedef mln::image2d<t_rgb5> t_image2d_rgb5; + typedef mln::image2d<t_lbl8> t_image2d_lbl8; + typedef mln::fun::v2v::rgb8_to_rgbn<5> t_rgb8_to_rgb5; + + t_image2d_rgb8 house_rgb8; + t_image2d_rgb5 house_rgb5; + t_image2d_lbl8 house_lbl8; + + mln::io::ppm::load(house_rgb8, image.c_str()); + house_rgb5 = mln::data::transform(house_rgb8, t_rgb8_to_rgb5()); + + mln::trace::quiet = false; + + house_lbl8 = mln::clustering::kmean_rgb<double,5>(house_rgb5, + k_center, + watch_dog, + n_times); + mln::trace::quiet = true; + + mln::io::pgm::save(house_lbl8, "label.pgm"); + /* + + + + t_kmean kmean(house_rgb5, k_center, watch_dog, n_times); + + + + //kmean.launch_one_time(); + kmean.launch_n_times(); + + // Not safe because we don't test kmean.is_valid() + + t_kmean::t_color_dbg color_img = kmean.get_color_dbg(); + t_kmean::t_mean_dbg mean_img = kmean.get_mean_dbg(); + t_kmean::t_label_dbg label_img = kmean.get_label_dbg(); + t_kmean::t_variance_cnv variance_cnv = kmean.get_variance_cnv(); + t_kmean::t_mean_cnv mean_cnv = kmean.get_mean_cnv(); + + mln::io::ppm::save(mean_img, "mean.ppm"); + mln::io::ppm::save(color_img, "color.ppm"); + mln::io::pgm::save(label_img, "label.pgm"); + + mln::io::plot::save_image_sh(mean_img, "mean.sh"); + mln::io::plot::save_image_sh(mean_cnv, "mean_cnv.sh"); + mln::io::plot::save_image_sh(variance_cnv, "variance_cnv.sh"); + + */ + + return 0; +} + diff --git a/milena/sandbox/green/mln/clustering/kmean_rgb.hh b/milena/sandbox/green/mln/clustering/kmean_rgb.hh new file mode 100644 index 0000000..253745b --- /dev/null +++ b/milena/sandbox/green/mln/clustering/kmean_rgb.hh @@ -0,0 +1,973 @@ +// Copyright (C) 2008,2009 EPITA Research and Development Laboratory (LRDE) +// +// This file is part of Olena. +// +// Olena 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, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +#ifndef MLN_CLUSTERING_KMEAN_RGB_HH +# define MLN_CLUSTERING_KMEAN_RGB_HH + +/// \file +/// +/// \brief Implements the optimized kmean algorithm. +/// +/// This algorithm is optimized in the way it proceeds directly with +/// the rgb values inspite of the pixel attribute. The +/// algorithm is independant from the image dimension. But, we have to +/// compute one time the histogram. In fact, we move a recurrent cost +/// to a fix cost in the complexity. This version is adapted to +/// image with small quantification. + +/// APLATISSEMENT DES KMEAN3D + +# include <limits.h> +# include <iostream> + +# include <mln/accu/stat/histo3d_rgb.hh> + +# include <mln/algebra/vec.hh> + +# include <mln/core/concept/image.hh> +# include <mln/core/contract.hh> +# include <mln/core/image/image2d.hh> +# include <mln/core/macros.hh> + +# include <mln/data/compute.hh> +# include <mln/data/fill.hh> +# include <mln/data/transform.hh> + +# include <mln/debug/println.hh> + +# include <mln/io/ppm/save.hh> +# include <mln/io/pgm/save.hh> + +# include <mln/labeling/colorize.hh> +# include <mln/labeling/mean_values.hh> + +# include <mln/literal/zero.hh> +# include <mln/literal/one.hh> + +# include <mln/math/min.hh> +# include <mln/math/sqr.hh> + +# include <mln/norm/l2.hh> + +# include <mln/opt/at.hh> + +# include <mln/trace/entering.hh> +# include <mln/trace/exiting.hh> + +# include <mln/trait/value_.hh> + +# include <mln/util/array.hh> + +# include <mln/value/int_u.hh> +# include <mln/value/rgb8.hh> +# include <mln/value/label_8.hh> + + +//-------------------------------------------------------------------------- +// CODE APLATI +//-------------------------------------------------------------------------- + + +namespace mln +{ + + namespace clustering + { + + template <typename T, unsigned n, typename I> + inline + image2d<value::label_8> + kmean_rgb(const Image<I>& point, + const unsigned k_center, + const unsigned watch_dog, + const unsigned n_times); + + } // end of namespace mln::clustering + + namespace clustering + { + + +# ifndef MLN_INCLUDE_ONLY + + //-------------------------------------------------------------------------- + // Internal. + //-------------------------------------------------------------------------- + + namespace internal + { + + //------------------------------------------------------------------------ + // Debugging tools + //------------------------------------------------------------------------ + + /* + template <typename T, unsigned n> + inline + void kmean3d_a<T,n>::build_label_dbg() + { + trace::entering("mln::clustering::kmean3d_a::build_label_dbg"); + + mln_piter(t_point_img) pi(_point.domain()); + mln_piter(t_label_dbg) po(_label_dbg.domain()); + + for_all_2(pi, po) + { + t_value val = _point(pi); + t_label grp = _group(point3d(val.blue(), val.red(), val.green())); + + // As label zero has got a particular semantic, the first label is one + _label_dbg(po) = ++grp; + } + + trace::exiting("mln::clustering::kmean3d_a::build_label_dbg"); + } + + template <typename T, unsigned n> + inline + void kmean3d_a<T,n>::build_mean_dbg() + { + trace::entering("mln::clustering::kmean3d_a::build_mean_dbg"); + + mln_piter(t_mean_dbg) p(_mean_dbg.domain()); + + for_all(p) + { + _mean_dbg(p).red() = static_cast<unsigned>(_mean[_label_dbg(p)][0]); + _mean_dbg(p).green() = static_cast<unsigned>(_mean[_label_dbg(p)][1]); + _mean_dbg(p).blue() = static_cast<unsigned>(_mean[_label_dbg(p)][2]); + } + + trace::exiting("mln::clustering::kmean3d_a::build_mean_dbg"); + } + + + template <typename T, unsigned n> + inline + void kmean3d_a<T,n>::build_all_dbg() + { + trace::entering("mln::clustering::kmean3d_a::build_all_dbg"); + build_label_dbg(); + //build_mean_dbg(); + _mean_dbg = labeling::mean_values(_point, _label_dbg, _k_center); + _color_dbg = labeling::colorize(value::rgb8(), _label_dbg); + + trace::exiting("mln::clustering::kmean3d_a::build_all_dbg"); + } + + template <typename T, unsigned n> + inline + void kmean3d_a<T,n>::update_cnv() + { + trace::entering("mln::clustering::kmean3d_a::update_cnv"); + + _variance_cnv[_current_launching](point1d(_current_step)) + = _within_variance; + + mln_eiter(t_mean_img) l(_mean); + + for_all(l) + { + _mean_cnv[l.index_()][_current_launching](point1d(_current_step)) + = _mean[l.index_()]; + } + + trace::exiting("mln::clustering::kmean3d_a::update_cnv"); + } + + template <typename T, unsigned n> + inline + void kmean3d_a<T,n>::finalize_cnv() + { + trace::entering("mln::clustering::kmean3d_a::finalize_cnv"); + + // saturate the curv with the within variance + for (unsigned i = _current_step; i < _watch_dog; ++i) + _variance_cnv[_current_launching](point1d(i)) = _within_variance; + + for (unsigned i = _current_step; i < _watch_dog; ++i) + { + mln_eiter(t_mean_img) l(_mean); + + for_all(l) + { + _mean_cnv[l.index_()][_current_launching](point1d(i)) + = _mean[l.index_()]; + } + } + + trace::exiting("mln::clustering::kmean3d_a::finalize_cnv"); + } + + + + + //-------------------------------------------------------------------------- + // Printing temporary results + //-------------------------------------------------------------------------- + + template <typename T, unsigned n> + inline + void kmean3d_a<T,n>::print_mean() + { + trace::entering("mln::clustering::kmean3d_a::print_mean"); + + mln_eiter(t_mean_img) l(_mean); + + for_all(l) + { + std::cout << "mean(" << l.index_(); + std::cout << ") = [r=" << _mean[l.index_()][0]; + std::cout << ", g=" << _mean[l.index_()][1]; + std::cout << ", b=" << _mean[l.index_()][2]; + std::cout << "]" << std::endl; + } + + trace::exiting("mln::clustering::kmean3d_a::print_mean"); + } + + template <typename T, unsigned n> + inline + void kmean3d_a<T,n>::print_number() + { + trace::entering("mln::clustering::kmean3d_a::print_number"); + + mln_eiter(t_number_img) l(_number); + + for_all(l) + { + std::cout << "number(" << l.index_(); + std::cout << ") = " << _number[l.index_()]; + std::cout << std::endl; + } + + trace::exiting("mln::clustering::kmean3d_a::print_number"); + } + + template <typename T, unsigned n> + inline + void kmean3d_a<T,n>::print_variance() + { + trace::entering("mln::clustering::kmean3d_a::print_variance"); + + mln_eiter(t_variance_img) l(_number); + + for_all(l) + { + std::cout << "variance(" << l.index_(); + std::cout << ") = " << _variance[l.index_()]; + std::cout << std::endl; + } + + trace::exiting("mln::clustering::kmean3d_a::print_variance"); + } + + template <typename T, unsigned n> + inline + void kmean3d_a<T,n>::print_histo() + { + trace::entering("mln::clustering::kmean3d_a::print_histo"); + + mln_piter(t_histo_img) rgb(_histo.domain()); + + for_all(rgb) + { + if (0 < _histo(rgb)) + { + std::cout << "histo(r=" << rgb.row(); + std::cout << ", g=" << rgb.col(); + std::cout << ", b=" << rgb.sli(); + std::cout << ")= " << _histo(rgb); + std::cout << std::endl; + } + } + + trace::exiting("mln::clustering::kmean3d_a::print_histo"); + } + + template <typename T, unsigned n> + inline + void kmean3d_a<T,n>::print_group() + { + trace::entering("mln::clustering::kmean3d_a::print_group"); + + mln_piter(t_group_img) rgb(_group.domain()); + + for_all(rgb) + { + if (0 < _histo(rgb)) + { + std::cout << "group(r=" << rgb.row(); + std::cout << ", g=" << rgb.col(); + std::cout << ", b=" << rgb.sli(); + std::cout << ")= " << _group(rgb); + std::cout << std::endl; + } + } + + trace::exiting("mln::clustering::kmean3d_a::print_group"); + } + + template <typename T, unsigned n> + inline + void kmean3d_a<T,n>::print_distance() + { + trace::entering("mln::clustering::kmean3d_a::print_distance"); + + mln_eiter(t_distance_img) l(_distance); + + for_all(l) + { + mln_piter(t_distance_val) rgb(_distance[l.index_()].domain()); + + for_all(rgb) + { + if (0 < _histo(rgb)) + { + std::cout << "distance(l=" << l.index_(); + std::cout << ",r=" << rgb.row(); + std::cout << ", g=" << rgb.col(); + std::cout << ", b=" << rgb.sli(); + std::cout << ")= " << _distance[l.index_()](rgb); + std::cout << std::endl; + } + } + } + + trace::exiting("mln::clustering::kmean3d_a::print_distance"); + } + + template <typename T, unsigned n> + inline + void kmean3d_a<T,n>::print_point() + { + trace::entering("mln::clustering::kmean3d_a::print_point"); + + mln_piter(t_point_img) p(_point.domain()); + + for_all(p) + { + std::cout << "point(r=" << p.row(); + std::cout << ", c=" << p.col(); + std::cout << ")= " << _point(p); + std::cout << std::endl; + } + + trace::exiting("mln::clustering::kmean3d_a::print_point"); + } + + + + template <typename T, unsigned n> + inline + void rgb_rand_init(t_mean_img mean) + { + typedef value::rgb<n> t_value; + typedef mln_trait_value_comp(t_value,0) t_value_comp0; + typedef mln_trait_value_comp(t_value,1) t_value_comp1; + typedef mln_trait_value_comp(t_value,2) t_value_comp2; + typedef algebra::vec<3,T> t_result3d; + typedef util::array<t_result3d> t_mean_img; + + t_value_comp0 min_comp0 = mln_min(t_value_comp0); + t_value_comp0 max_comp0 = mln_max(t_value_comp0); + t_value_comp1 min_comp1 = mln_min(t_value_comp1); + t_value_comp1 max_comp1 = mln_max(t_value_comp1); + t_value_comp2 min_comp2 = mln_min(t_value_comp2); + t_value_comp2 max_comp2 = mln_max(t_value_comp2); + mln_eiter(t_mean_img) l(mean); + + for_all(l) + { + mean[l.index_()][0] = (rand() % (max_comp0 - min_comp0)) + min_comp0; + mean[l.index_()][1] = (rand() % (max_comp1 - min_comp1)) + min_comp1; + mean[l.index_()][2] = (rand() % (max_comp2 - min_comp2)) + min_comp2; + } + + return mean; + } + + */ + + } // end of namespace mln::clustering::internal + + + //-------------------------------------------------------------------------- + // Impl. + //-------------------------------------------------------------------------- + + namespace impl + { + + //------------------------------------------------------------------------ + // kmean_image2d_rgb(const t_point_img& point, + // const unsigned k_center, + // const unsigned watch_dog = 10, + // const unsigned n_times = 10) + //------------------------------------------------------------------------ + + template <unsigned n> + struct rgbn_to_lbl8 : Function_v2v< rgbn_to_lbl8<n> > + { + typedef value::rgb<n> argument; + typedef value::label_8 result; + typedef value::label_8 t_label; + typedef image3d<t_label> t_group_img; + + t_group_img _group; + + rgbn_to_lbl8(t_group_img group) : _group(group) {} + + result operator()(const argument& c) const + { + value::label_8 tmp = opt::at(_group, c.blue(), c.red(), c.green()); + + // FIXME WHY DO WE NOT USE +1 + return ++tmp; + } + }; + + template <typename T, unsigned n> + struct rgb_to_dist : Function_v2v< rgb_to_dist<T,n> > + { + typedef value::rgb<n> argument; + typedef T result; + typedef T t_result1d; + typedef algebra::vec<3,T> t_result3d; + typedef image3d<unsigned> t_histo_img; + + t_result3d _mean; + t_histo_img _histo; + + rgb_to_dist(t_result3d mean, t_histo_img histo) : _mean(mean), + _histo(histo) {} + + result operator()(const argument& c) const + { + t_result1d diff2_row = math::sqr(c.row() - _mean[0]); + t_result1d diff2_col = math::sqr(c.col() - _mean[1]); + t_result1d diff2_sli = math::sqr(c.sli() - _mean[2]); + t_result1d tmp = _histo(c)*(diff2_row + diff2_col + diff2_sli); + + return tmp; + } + }; + + template <typename T, unsigned n> + inline + image2d<value::label_8> + kmean_image2d_rgb(const image2d< value::rgb<n> >& point, + const unsigned k_center, + const unsigned watch_dog = 10, + const unsigned n_times = 10) + { + trace::entering("mln::clustering::impl::kmean_image2d_rgb"); + trace::quiet = true; + // BEGIN TYPEDEF + typedef value::rgb<8> t_rgb; + typedef value::label<8> t_label; + typedef value::rgb<n> t_value; + typedef mln_trait_value_comp(t_value,0) t_value_comp0; + typedef mln_trait_value_comp(t_value,1) t_value_comp1; + typedef mln_trait_value_comp(t_value,2) t_value_comp2; + typedef T t_result1d; + typedef algebra::vec<3,T> t_result3d; + + typedef image2d<t_value> t_point_img; + typedef image3d<unsigned> t_histo_img; + typedef util::array<t_result1d> t_number_img; + typedef util::array<t_result3d> t_mean_img; + typedef util::array<t_result1d> t_variance_img; + + typedef image3d<t_label> t_group_img; + typedef image3d<t_result1d> t_distance_val; + typedef util::array<t_distance_val> t_distance_img; + + typedef image2d<t_label> t_label_dbg; + typedef image2d<t_rgb> t_color_dbg; + typedef image2d<t_value> t_mean_dbg; + + typedef image1d<t_result3d> t_mean_val; + typedef util::array<t_mean_val> t_mean_set; + typedef util::array<t_mean_set> t_mean_cnv; + typedef image1d<t_result1d> t_variance_val; + typedef util::array<t_variance_val> t_variance_cnv; + // END TYPEDEF + + // BEGIN INITIALISATION + mln_precondition(point.is_valid()); + + static const unsigned _N_TRIES = 3; + + typedef accu::meta::stat::histo3d_rgb t_histo3d_rgb; + + t_result1d _within_variance; + + unsigned _k_center = k_center; + unsigned _watch_dog = watch_dog; + unsigned _n_times = n_times; + t_point_img _point = point; + + // HISTOGRAM INIT + t_histo_img _histo = data::compute(t_histo3d_rgb(), + _point); + + // CENTER STATS INIT + t_number_img _number; + t_mean_img _mean; + t_variance_img _variance; + + for (unsigned i = 0; i < _k_center; ++i) + { + _number.append(literal::zero); + _mean.append(literal::zero); + _variance.append(literal::zero); + } + + + unsigned _current_step = 0; + unsigned _current_launching = 0; + bool _is_number_valid = false; + + unsigned _launching_min; + t_result1d _variance_min; + t_mean_img _mean_min; + + + + t_group_img _group; + t_distance_img _distance; + + + t_label_dbg _label_dbg; + t_color_dbg _color_dbg; + t_mean_dbg _mean_dbg; + + + t_mean_cnv _mean_cnv; + t_variance_cnv _variance_cnv; + + + + + _group.init_(box3d(point3d(mln_min(t_value_comp2), + mln_min(t_value_comp0), + mln_min(t_value_comp1)), + point3d(mln_max(t_value_comp2), + mln_max(t_value_comp0), + mln_max(t_value_comp1)))); + + for (unsigned i = 0; i < _k_center; ++i) + { + t_distance_val img(box3d(point3d(mln_min(t_value_comp2), + mln_min(t_value_comp0), + mln_min(t_value_comp1)), + point3d(mln_max(t_value_comp2), + mln_max(t_value_comp0), + mln_max(t_value_comp1)))); + + _distance.append(img); + } + + // Debugging, calibrating and testing + initialize(_label_dbg, _point); + initialize(_color_dbg, _point); + initialize(_mean_dbg, _point); + + // Observing the convergence + + for (unsigned i = 0; i < _n_times; ++i) + { + t_variance_val img(box1d(point1d(0), point1d(_watch_dog-1))); + + data::fill(img, literal::zero); + + _variance_cnv.append(img); + } + + for (unsigned i = 0; i < _k_center; ++i) + { + t_mean_set mean_set; + + for (unsigned j = 0; j < _n_times; ++j) + { + t_mean_val img(box1d(point1d(0), point1d(_watch_dog-1))); + + data::fill(img, literal::zero); + + mean_set.append(img); + } + + _mean_cnv.append(mean_set); + } + // END INITIALISATION + + // BEGIN LOOP N TIMES + { + unsigned tries = 0; + _variance_min = mln_max(t_result1d); + _current_launching = 0; + + while (_current_launching < _n_times) + { + // BEGIN LAUNCH ONE TIME + trace::quiet = false; + trace::entering("Launch one time"); + trace::quiet = true; + { + t_result1d old_variance = mln_max(t_result1d); + _within_variance = mln_max(t_result1d); + _current_step = 0; + + // BEGIN INIT_MEAN + trace::quiet = false; + trace::entering("init mean"); + trace::quiet = true; + { + t_value_comp0 min_comp0 = mln_min(t_value_comp0); + t_value_comp0 max_comp0 = mln_max(t_value_comp0); + t_value_comp1 min_comp1 = mln_min(t_value_comp1); + t_value_comp1 max_comp1 = mln_max(t_value_comp1); + t_value_comp2 min_comp2 = mln_min(t_value_comp2); + t_value_comp2 max_comp2 = mln_max(t_value_comp2); + mln_eiter(t_mean_img) l(_mean); + + for_all(l) + { + _mean[l.index_()][0]=(rand()%(max_comp0-min_comp0))+min_comp0; + _mean[l.index_()][1]=(rand()%(max_comp1-min_comp1))+min_comp1; + _mean[l.index_()][2]=(rand()%(max_comp2-min_comp2))+min_comp2; + } + } + trace::quiet = false; + trace::exiting("init mean"); + trace::quiet = true; + // END INIT MEAN + + + // UPDATE DISTANCE + trace::quiet = false; + trace::entering("update distance"); + trace::quiet = true; + + for (unsigned i = 0; i < _k_center; ++i) + { + + // _distance[i] = data::transform(_histo, + // rgb_to_dist<T,n>(_mean[i], + // _histo)); + + mln_piter(t_distance_val) d(_distance[i].domain()); + + for_all(d) + { + t_result1d diff2_row = math::sqr(d.row() - _mean[i][0]); + t_result1d diff2_col = math::sqr(d.col() - _mean[i][1]); + t_result1d diff2_sli = math::sqr(d.sli() - _mean[i][2]); + _distance[i](d) = _histo(d)* + (diff2_row + diff2_col + diff2_sli); + } + } + + trace::quiet = false; + trace::exiting("update distance"); + trace::quiet = true; + // END UPDATE DISTANCE + + do + { + old_variance = _within_variance; + + // BEGIN UPDATE GROUP + trace::quiet = false; + trace::entering("update group"); + trace::quiet = true; + { + mln_piter(t_group_img) rgb(_group.domain()); + + for_all(rgb) + { + mln_eiter(t_distance_img) l(_distance); + t_result1d min = mln_max(t_result1d); + t_label label = mln_max(t_label); + + for_all(l) + { + if (min > _distance[l.index_()](rgb)) + { + min = _distance[l.index_()](rgb); + label = l.index_(); + } + } + + _group(rgb) = label; + } + + } + trace::quiet = false; + trace::exiting("update group"); + trace::quiet = true; + // END UPDATE GROUP + + // BEGIN UPDATE MEAN + trace::quiet = false; + trace::entering("update mean"); + trace::quiet = true; + { + mln_eiter(t_number_img) en(_number); + mln_eiter(t_mean_img) em(_mean); + + for_all_2(en,em) + { + _number[en.index_()] = literal::zero; + _mean[em.index_()] = literal::zero; + } + + mln_piter(t_group_img) rgb(_group.domain()); + + for_all(rgb) + { + _mean[_group(rgb)][0] += rgb.row() * _histo(rgb); + _mean[_group(rgb)][1] += rgb.col() * _histo(rgb); + _mean[_group(rgb)][2] += rgb.sli() * _histo(rgb); + _number(_group(rgb)) += _histo(rgb); + } + + mln_eiter(t_mean_img) l(_mean); + + for_all(l) + { + _is_number_valid = (0 != _number[l.index_()]); + + if (!_is_number_valid) + break; + + _mean[l.index_()] /= _number[l.index_()]; + } + } + trace::quiet = false; + trace::exiting("update mean"); + trace::quiet = true; + // END UPDATE MEAN + + + // Stopping Nan propagation + if (!_is_number_valid) + break; + + // UPDATE DISTANCE + trace::quiet = false; + trace::entering("update distance"); + trace::quiet = true; + + for (unsigned i = 0; i < _k_center; ++i) + { + mln_piter(t_distance_val) d(_distance[i].domain()); + + for_all(d) + { + // the square distance + t_result1d diff2_row = math::sqr(d.row() - _mean[i][0]); + t_result1d diff2_col = math::sqr(d.col() - _mean[i][1]); + t_result1d diff2_sli = math::sqr(d.sli() - _mean[i][2]); + _distance[i](d) = _histo(d)* + (diff2_row + diff2_col + diff2_sli); + } + } + trace::quiet = false; + trace::exiting("update distance"); + trace::quiet = true; + // END UPDATE DISTANCE + + // BEGIN UPDATE VARIANCE + trace::quiet = false; + trace::entering("update variance"); + trace::quiet = true; + { + _within_variance = literal::zero; + mln_eiter(t_variance_img) l(_variance); + + for_all(l) + { + _variance[l.index_()] = literal::zero; + + mln_piter(t_group_img) rgb(_group.domain()); + + for_all(rgb) + { + if (l.index_() == _group(rgb)) + _variance[l.index_()] += _distance[l.index_()](rgb); + } + + _within_variance += _variance[l.index_()]; + } + + } + trace::quiet = false; + trace::exiting("update variance"); + trace::quiet = true; + // END UPDATE VARIANCE + + //update_cnv(); + + ++_current_step; + } + while (_current_step < _watch_dog && + _within_variance < old_variance); + + //finalize_cnv(); + //build_all_dbg(); + } + trace::quiet = false; + trace::exiting("Launch one time"); + trace::quiet = true; + // END LAUNCH ONE TIME + + if ((_is_number_valid && (_current_step < _watch_dog))|| + _N_TRIES < tries) + { + if (_within_variance < _variance_min) + { + _variance_min = _within_variance; + _mean_min = _mean; + _launching_min = _current_launching; + } + + // Reinitialize the number of echecs possible + tries = 0; + + //std::cout << "_current_launching : " << _current_launching + // << std::endl; + + //std::cout << "within_variance[" << _current_launching << "] = " + // << _within_variance << std::endl; + + ++_current_launching; + } + else + ++tries; + } + + //Debugging code + //build_all_dbg(); + + } + // END LOOP N TIMES + + // BEGIN BUILD LABEL IMAGE + _label_dbg = data::transform(_point, rgbn_to_lbl8<n>(_group)); + +// { +// mln_piter(t_point_img) pi(_point.domain()); +// mln_piter(t_label_dbg) po(_label_dbg.domain()); + +// for_all_2(pi, po) +// { +// t_value val = _point(pi); +// t_label grp = _group(point3d(val.blue(),val.red(),val.green())); + +// _label_dbg(po) = ++grp; +// } +// } + + // END BUILD LABEL IMAGE + trace::quiet = false; + trace::exiting("mln::clustering::impl::kmean_image2d_rgb"); + + return _label_dbg; + + } + + } // end of namespace mln::clustering::impl + + + + + + //-------------------------------------------------------------------------- + // Internal. + //-------------------------------------------------------------------------- + + namespace internal + { + + template <typename T, unsigned n> + inline + image2d<value::label_8> + kmean_rgb_dispatch(const image2d< value::rgb<n> >& img, + const unsigned k_center, + const unsigned watch_dog, + const unsigned n_times) + { + return impl::kmean_image2d_rgb<T,n>(img, k_center, watch_dog, n_times); + } + + + template <typename T, unsigned n, typename I> + inline + image2d< value::label_8> + kmean_rgb_dispatch(const Image<I>& img, + const unsigned k_center, + const unsigned watch_dog, + const unsigned n_times) + { + return kmean_rgb_dispatch<T,n>(exact(img),k_center,watch_dog,n_times); + } + + + } // end of namespace mln::clustering::internal + + + //-------------------------------------------------------------------------- + // Facade. + //-------------------------------------------------------------------------- + + template <typename T, unsigned n, typename I> + inline + image2d<value::label_8> + kmean_rgb(const Image<I>& point, + const unsigned k_center, + const unsigned watch_dog, + const unsigned n_times) + { + trace::entering("mln::clustering::kmean_rgb"); + + image2d<value::label_8> tmp = internal::kmean_rgb_dispatch<T,n>(point, + k_center, + watch_dog, + n_times); + trace::exiting("mln::clustering::kmean_rgb"); + + return tmp; + } + + +# endif // ! MLN_INCLUDE_ONLY + + } // end of namespace mln::clustering + +} // end of namespace mln + +#endif // ! MLN_CLUSTERING_KMEAN_RGB_HH -- 1.5.6.5

14 years, 10 months

last-svn-commit-4-gfd0947d Benchmark on distance, preliminary work before optimizing kmean.

by green

* green/bench/transform/distance/Makefile: New Makefile. * green/bench/transform/distance/distance.cc: New processing chain. --- milena/sandbox/ChangeLog | 7 + .../lep => bench/transform/distance}/Makefile.am | 8 +- .../green/bench/transform/distance/distance.cc | 775 ++++++++++++++++++++ 3 files changed, 786 insertions(+), 4 deletions(-) copy milena/sandbox/green/{demo/annoting/lep => bench/transform/distance}/Makefile.am (95%) create mode 100644 milena/sandbox/green/bench/transform/distance/distance.cc diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog index 83bd7f7..a2cc751 100644 --- a/milena/sandbox/ChangeLog +++ b/milena/sandbox/ChangeLog @@ -1,5 +1,12 @@ 2009-12-02 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Benchmark on distance, preliminary work before optimizing kmean. + + * green/bench/transform/distance/Makefile: New Makefile. + * green/bench/transform/distance/distance.cc: New processing chain. + +2009-12-02 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Works on Millet2008 descriptors. * green/mln/demo/annoting/bic/Makefile: New Makefile. diff --git a/milena/sandbox/green/demo/annoting/lep/Makefile.am b/milena/sandbox/green/bench/transform/distance/Makefile.am similarity index 95% copy from milena/sandbox/green/demo/annoting/lep/Makefile.am copy to milena/sandbox/green/bench/transform/distance/Makefile.am index 96eafb4..115c385 100644 --- a/milena/sandbox/green/demo/annoting/lep/Makefile.am +++ b/milena/sandbox/green/bench/transform/distance/Makefile.am @@ -7,16 +7,16 @@ ######### INCLUDES= -I$(HOME)/svn/oln/trunk/milena/sandbox/green -#CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES) -CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +#CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) #CXXFLAGS= -DNDEBUG -O3 -Wall -W -pedantic -ansi -pipe $(INCLUDES) ECHO= echo RM= rm MKDIR= mkdir -p CP= cp -SOURCE_PATTERN= green/demo -BUILD__PATTERN= green/build/demo +SOURCE_PATTERN= green/bench +BUILD__PATTERN= green/build/bench ifeq ($(findstring $(BUILD__PATTERN),$(PWD)), $(BUILD__PATTERN)) diff --git a/milena/sandbox/green/bench/transform/distance/distance.cc b/milena/sandbox/green/bench/transform/distance/distance.cc new file mode 100644 index 0000000..b71b6df --- /dev/null +++ b/milena/sandbox/green/bench/transform/distance/distance.cc @@ -0,0 +1,775 @@ +// BENCH + +#include <mln/opt/at.hh> + +#include <mln/core/alias/box3d.hh> +#include <mln/core/alias/neighb2d.hh> +#include <mln/core/alias/neighb3d.hh> +#include <mln/core/alias/point3d.hh> +#include <mln/core/alias/w_window2d_int.hh> +#include <mln/core/alias/w_window3d_int.hh> +#include <mln/core/image/image2d.hh> +#include <mln/core/image/image3d.hh> +#include <mln/core/routine/initialize.hh> + +#include <mln/data/fill.hh> + +#include <mln/io/pgm/save.hh> +#include <mln/io/plot/save_image_sh.hh> + +#include <mln/literal/zero.hh> + +#include <mln/make/w_window2d_int.hh> +#include <mln/make/w_window3d_int.hh> + +#include <mln/transform/influence_zone_geodesic.hh> +#include <mln/transform/influence_zone_front.hh> + +#include <mln/util/array.hh> +#include <mln/util/timer.hh> + +#include <mln/value/label_8.hh> + + +//------------------------------------------------------------------------------ +// Build input, seeds and other tools +//------------------------------------------------------------------------------ + +mln::image2d<mln::value::label_8> build_input2d(unsigned nb_seed, unsigned size) +{ + typedef mln::value::label_8 t_lbl; + mln::image2d<t_lbl> input(mln::box2d(mln::point2d(0,0), + mln::point2d(size,size))); + + mln::data::fill(input, mln::literal::zero); + + unsigned top = size / nb_seed; + unsigned lbl = 0; + + for (unsigned i = top/2; i < size; i += top) + for (unsigned j = top/2; j < size; j += top) + input(mln::point2d(i,j)) = ++lbl; + + //mln::io::pgm::save(input, "input.pgm"); + + return input; +} + +mln::image3d<mln::value::label_8> build_input3d(unsigned nb_seed, unsigned size) +{ + typedef mln::value::label_8 t_lbl; + mln::image3d<t_lbl> input(mln::box3d(mln::point3d(0,0,0), + mln::point3d(size,size,size))); + + mln::data::fill(input, mln::literal::zero); + + unsigned top = size / nb_seed; + unsigned lbl = 0; + + for (unsigned i = top/2; i < size; i += top) + for (unsigned j = top/2; j < size; j += top) + for (unsigned k = top/2; k < size; k += top) + input(mln::point3d(k,i,j)) = ++lbl; + + //mln::io::pgm::save(input, "input.pgm"); + + return input; +} + +mln::util::array<mln::point3d> build_seed3d(unsigned nb_seed, unsigned size) +{ + mln::util::array<mln::point3d> result; + unsigned top = size / nb_seed; + + for (unsigned i = top/2; i < size; i += top) + for (unsigned j = top/2; j < size; j += top) + for (unsigned k = top/2; k < size; k += top) + result.append(mln::point3d(k,i,j)); + + // std::cout << result << std::endl; + + return result; +} + +mln::util::array<mln::point2d> build_seed2d(unsigned nb_seed, unsigned size) +{ + mln::util::array<mln::point2d> result; + unsigned top = size / nb_seed; + + for (unsigned i = top/2; i < size; i += top) + for (unsigned j = top/2; j < size; j += top) + result.append(mln::point2d(j,i)); + + // std::cout << result << std::endl; + + return result; +} + +unsigned distance(mln::point3d p1, mln::point3d p2) +{ + unsigned row2 = (p1.row() - p2.row())*(p1.row() - p2.row()); + unsigned col2 = (p1.col() - p2.col())*(p1.col() - p2.col()); + unsigned sli2 = (p1.sli() - p2.sli())*(p1.sli() - p2.sli()); + unsigned res = row2 + col2 + sli2; + + return res; +} + +unsigned distance(mln::point2d p1, mln::point2d p2) +{ + unsigned row2 = (p1.row() - p2.row())*(p1.row() - p2.row()); + unsigned col2 = (p1.col() - p2.col())*(p1.col() - p2.col()); + unsigned res = row2 + col2; + + return res; +} + + +//------------------------------------------------------------------------------ +// Bench geodesic distance +//------------------------------------------------------------------------------ + +void influence_zone_geodesic_2d(mln::util::timer& timer, + const mln::image2d<mln::value::label_8>& input, + const mln::neighb2d & neighb) +{ + mln::image2d<mln::value::label_8> output; + + timer.start(); + output = mln::transform::influence_zone_geodesic(input, neighb); + timer.stop(); + + //mln::io::pgm::save(output, "output.pgm"); +} + +void influence_zone_geodesic_3d(mln::util::timer& timer, + const mln::image3d<mln::value::label_8>& input, + const mln::neighb3d & neighb) +{ + mln::image3d<mln::value::label_8> output; + + timer.start(); + output = mln::transform::influence_zone_geodesic(input, neighb); + timer.stop(); + + //mln::io::pgm::save(output, "output.pgm"); +} + + +int test_influence_zone_geodesic_2d() +{ + mln::util::timer timer; + +// Test the label c4 + mln::image1d<float> chart_seed_c04(16*16+2); + + mln::data::fill(chart_seed_c04, mln::literal::zero); + + for (unsigned i = 1; i < 16+1; ++i) + { + influence_zone_geodesic_2d(timer,build_input2d(i,256),mln::c4()); + std::cout << "c04|256x256|" << i << " = " << timer.read() << std::endl; + mln::opt::at(chart_seed_c04, i*i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_seed_c04, "geodesic.c04.2d.seed.sh"); + + // Test the label c8 + mln::image1d<float> chart_seed_c08(16*16+2); + + mln::data::fill(chart_seed_c08, mln::literal::zero); + + for (unsigned i = 1; i < 16+1; ++i) + { + influence_zone_geodesic_2d(timer,build_input2d(i,256),mln::c8()); + std::cout << "c08|256x256|" << i << " = " << timer.read() << std::endl; + mln::opt::at(chart_seed_c08, i*i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_seed_c08, "geodesic.c08.2d.seed.sh"); + + // Test the size of the image + // 1, 2, 4, 8, 16, 32, 64, 128, 256 + mln::image1d<float> chart_size_c04(256+1); + + mln::data::fill(chart_size_c04, mln::literal::zero); + + for (unsigned i = 16; i < 256+1; ++i) + { + influence_zone_geodesic_2d(timer, build_input2d(4,i),mln::c4()); + std::cout << "c04|" << i << "x" << i << "|16 = " + << timer.read() << std::endl; + mln::opt::at(chart_size_c04, i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_size_c04, "geodesic.c04.2d.size.sh"); + + // Test the size of the image + // 1, 2, 4, 8, 16, 32, 64, 128, 256 + mln::image1d<float> chart_size_c08(256+1); + + mln::data::fill(chart_size_c08, mln::literal::zero); + + for (unsigned i = 16; i < 256+1; ++i) + { + influence_zone_geodesic_2d(timer, build_input2d(4,i),mln::c8()); + std::cout << "c08|" << i << "x" << i << "|16 = " + << timer.read() << std::endl; + mln::opt::at(chart_size_c08, i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_size_c08, "geodesic.c08.2d.size.sh"); + + + return 0; +} + + +void test_influence_zone_geodesic_3d() +{ + mln::util::timer timer; + + // Test the number of labels c06 + mln::image1d<float> chart_seed_c06(5*5*5+2); + + mln::data::fill(chart_seed_c06, mln::literal::zero); + + for (unsigned i = 1; i < 5+1; ++i) + { + influence_zone_geodesic_3d(timer, build_input3d(i,128), mln::c6()); + std::cout << "c06|128x128x128|" << i << " = " << timer.read() << std::endl; + mln::opt::at(chart_seed_c06, i*i*i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_seed_c06, "geodesic.c06.3d.seed.sh"); + + // Test the number of labels c18 + mln::image1d<float> chart_seed_c18(5*5*5+2); + + mln::data::fill(chart_seed_c18, mln::literal::zero); + + for (unsigned i = 1; i < 5+1; ++i) + { + influence_zone_geodesic_3d(timer, build_input3d(i,128), mln::c18()); + std::cout << "c18|128x128x128|" << i << " = " << timer.read() << std::endl; + mln::opt::at(chart_seed_c18, i*i*i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_seed_c18, "geodesic.c18.3d.seed.sh"); + + // Test the number of labels c26 + mln::image1d<float> chart_seed_c26(5*5*5+2); + + mln::data::fill(chart_seed_c26, mln::literal::zero); + + for (unsigned i = 1; i < 5+1; ++i) + { + influence_zone_geodesic_3d(timer, build_input3d(i,128), mln::c26()); + std::cout << "c26|128x128x128|" << i << " = " << timer.read() << std::endl; + mln::opt::at(chart_seed_c26, i*i*i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_seed_c26, "geodesic.c26.3d.seed.sh"); + + // Test the size of the image c06 + // 1, 2, 4, 8, 16, 32, 64, 128, 256 + mln::image1d<float> chart_size_c06(128+1); + + mln::data::fill(chart_size_c06, mln::literal::zero); + + for (unsigned i = 6; i < 128+1; ++i) + { + influence_zone_geodesic_3d(timer, build_input3d(2,i), mln::c6()); + std::cout << "c06|" << i << "x" << i << "x" << i << "|8 = " + << timer.read() << std::endl; + mln::opt::at(chart_size_c06, i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_size_c06, "geodesic.c06.3d.size.sh"); + + // Test the size of the image c18 + // 1, 2, 4, 8, 16, 32, 64, 128, 256 + mln::image1d<float> chart_size_c18(128+1); + + mln::data::fill(chart_size_c18, mln::literal::zero); + + for (unsigned i = 6; i < 128+1; ++i) + { + influence_zone_geodesic_3d(timer, build_input3d(2,i), mln::c18()); + std::cout << "c18|" << i << "x" << i << "x" << i << "|8 = " + << timer.read() << std::endl; + mln::opt::at(chart_size_c18, i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_size_c18, "geodesic.c18.3d.size.sh"); + + // Test the size of the image c26 + // 1, 2, 4, 8, 16, 32, 64, 128, 256 + mln::image1d<float> chart_size_c26(128+1); + + mln::data::fill(chart_size_c26, mln::literal::zero); + + for (unsigned i = 6; i < 128+1; ++i) + { + influence_zone_geodesic_3d(timer, build_input3d(2,i), mln::c26()); + std::cout << "c26|" << i << "x" << i << "x" << i << "|8 = " + << timer.read() << std::endl; + mln::opt::at(chart_size_c26, i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_size_c26, "geodesic.c26.3d.size.sh"); +} + +//------------------------------------------------------------------------------ +// Bench front distance +//------------------------------------------------------------------------------ + +void influence_zone_front_2d(mln::util::timer& timer, + const mln::image2d<mln::value::label_8>& input, + const mln::neighb2d& neighb, + const mln::w_window2d_int& w2d) +{ + mln::image2d<mln::value::label_8> output; + + timer.start(); + output = mln::transform::influence_zone_front(input, neighb, w2d); + timer.stop(); + + //mln::io::pgm::save(output, "output.pgm"); +} + + +void influence_zone_front_3d(mln::util::timer& timer, + const mln::image3d<mln::value::label_8>& input, + const mln::neighb3d& neighb, + const mln::w_window3d_int& w3d) +{ + mln::image3d<mln::value::label_8> output; + + timer.start(); + output = mln::transform::influence_zone_front(input, neighb, w3d); + timer.stop(); + + //mln::io::pgm::save(output, "output.pgm"); +} + + +void test_influence_zone_front_3d() +{ + mln::util::timer timer; + + int ws_c06[] = { + // Internal slice + 0, 0, 0, + 0, 2, 0, + 0, 0, 0, + // Middle slice + 0, 2, 0, + 2, 0, 2, + 0, 2, 0, + // External slice + 0, 0, 0, + 0, 2, 0, + 0, 0, 0 }; + + int ws_c18[] = { + // Internal slice + 0, 6, 0, + 6, 4, 6, + 0, 6, 0, + // Middle slice + 6, 4, 6, + 4, 0, 4, + 6, 4, 6, + // External slice + 0, 6, 0, + 6, 4, 6, + 0, 6, 0 }; + + int ws_c26[] = { + // Internal slice + 7, 6, 7, + 6, 4, 6, + 7, 6, 7, + // Middle slice + 6, 4, 6, + 4, 0, 4, + 6, 4, 6, + // External slice + 7, 6, 7, + 6, 4, 6, + 7, 6, 7 }; + + mln::w_window3d_int w3d_c06 = mln::make::w_window3d_int(ws_c06); + mln::w_window3d_int w3d_c18 = mln::make::w_window3d_int(ws_c18); + mln::w_window3d_int w3d_c26 = mln::make::w_window3d_int(ws_c26); + + // Test the number of labels c06 + mln::image1d<float> chart_seed_c06(5*5*5+2); + + mln::data::fill(chart_seed_c06, mln::literal::zero); + + for (unsigned i = 1; i < 5+1; ++i) + { + influence_zone_front_3d(timer, build_input3d(i,128), mln::c6(), w3d_c06); + std::cout << "c06|128x128x128|" << i << " = " << timer.read() << std::endl; + mln::opt::at(chart_seed_c06, i*i*i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_seed_c06, "front.c06.3d.seed.sh"); + + // Test the number of labels c18 + mln::image1d<float> chart_seed_c18(5*5*5+2); + + mln::data::fill(chart_seed_c18, mln::literal::zero); + + for (unsigned i = 1; i < 5+1; ++i) + { + influence_zone_front_3d(timer, build_input3d(i,128), mln::c18(), w3d_c18); + std::cout << "c18|128x128x128|" << i << " = " << timer.read() << std::endl; + mln::opt::at(chart_seed_c18, i*i*i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_seed_c18, "front.c18.3d.seed.sh"); + + // Test the number of labels c26 + mln::image1d<float> chart_seed_c26(5*5*5+2); + + mln::data::fill(chart_seed_c26, mln::literal::zero); + + for (unsigned i = 1; i < 5+1; ++i) + { + influence_zone_front_3d(timer, build_input3d(i,128), mln::c26(), w3d_c26); + std::cout << "c26|128x128x128|" << i << " = " << timer.read() << std::endl; + mln::opt::at(chart_seed_c26, i*i*i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_seed_c26, "front.c26.3d.seed.sh"); + + // Test the size of the image c06 + // 1, 2, 4, 8, 16, 32, 64, 128, 256 + mln::image1d<float> chart_size_c06(128+1); + + mln::data::fill(chart_size_c06, mln::literal::zero); + + for (unsigned i = 6; i < 128+1; ++i) + { + influence_zone_front_3d(timer, build_input3d(2,i), mln::c6(), w3d_c06); + std::cout << "c06|" << i << "x" << i << "x" << i << "|8 = " + << timer.read() << std::endl; + mln::opt::at(chart_size_c06, i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_size_c06, "front.c06.3d.size.sh"); + + // Test the size of the image c18 + // 1, 2, 4, 8, 16, 32, 64, 128, 256 + mln::image1d<float> chart_size_c18(128+1); + + mln::data::fill(chart_size_c18, mln::literal::zero); + + for (unsigned i = 6; i < 128+1; ++i) + { + influence_zone_front_3d(timer, build_input3d(2,i), mln::c18(), w3d_c18); + std::cout << "c18|" << i << "x" << i << "x" << i << "|8 = " + << timer.read() << std::endl; + mln::opt::at(chart_size_c18, i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_size_c18, "front.c18.3d.size.sh"); + + // Test the size of the image c26 + // 1, 2, 4, 8, 16, 32, 64, 128, 256 + mln::image1d<float> chart_size_c26(128+1); + + mln::data::fill(chart_size_c26, mln::literal::zero); + + for (unsigned i = 6; i < 128+1; ++i) + { + influence_zone_front_3d(timer, build_input3d(2,i), mln::c26(), w3d_c26); + std::cout << "c26|" << i << "x" << i << "x" << i << "|8 = " + << timer.read() << std::endl; + mln::opt::at(chart_size_c26, i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_size_c26, "front.c26.3d.size.sh"); +} + +void test_influence_zone_front_2d() +{ + mln::util::timer timer; + + int ws_c04[] = { + 0, 2, 0, + 2, 0, 2, + 0, 2, 0}; + + int ws_c08[] = { + 6, 4, 6, + 4, 0, 4, + 6, 4, 6}; + + mln::w_window2d_int w2d_c04 = mln::make::w_window2d_int(ws_c04); + mln::w_window2d_int w2d_c08 = mln::make::w_window2d_int(ws_c08); + + // Test the label c4 + mln::image1d<float> chart_seed_c04(16*16+2); + + mln::data::fill(chart_seed_c04, mln::literal::zero); + + for (unsigned i = 1; i < 16+1; ++i) + { + influence_zone_front_2d(timer,build_input2d(i,256),mln::c4(),w2d_c04); + std::cout << "c04|256x256|" << i << " = " << timer.read() << std::endl; + mln::opt::at(chart_seed_c04, i*i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_seed_c04, "front.c04.2d.seed.sh"); + + // Test the label c8 + mln::image1d<float> chart_seed_c08(16*16+2); + + mln::data::fill(chart_seed_c08, mln::literal::zero); + + for (unsigned i = 1; i < 16+1; ++i) + { + influence_zone_front_2d(timer,build_input2d(i,256),mln::c8(),w2d_c08); + std::cout << "c08|256x256|" << i << " = " << timer.read() << std::endl; + mln::opt::at(chart_seed_c08, i*i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_seed_c08, "front.c08.2d.seed.sh"); + + // Test the size of the image + // 1, 2, 4, 8, 16, 32, 64, 128, 256 + mln::image1d<float> chart_size_c04(256+1); + + mln::data::fill(chart_size_c04, mln::literal::zero); + + for (unsigned i = 16; i < 256+1; ++i) + { + influence_zone_front_2d(timer, build_input2d(4,i),mln::c4(),w2d_c04); + std::cout << "c04|" << i << "x" << i << "|16 = " + << timer.read() << std::endl; + mln::opt::at(chart_size_c04, i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_size_c04, "front.c04.2d.size.sh"); + + // Test the size of the image + // 1, 2, 4, 8, 16, 32, 64, 128, 256 + mln::image1d<float> chart_size_c08(256+1); + + mln::data::fill(chart_size_c08, mln::literal::zero); + + for (unsigned i = 16; i < 256+1; ++i) + { + influence_zone_front_2d(timer, build_input2d(4,i),mln::c8(),w2d_c08); + std::cout << "c08|" << i << "x" << i << "|16 = " + << timer.read() << std::endl; + mln::opt::at(chart_size_c08, i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_size_c08, "front.c08.2d.size.sh"); +} + + + + + + +//------------------------------------------------------------------------------ +// Bench euclidian distance +//------------------------------------------------------------------------------ + +void influence_zone_euclidian_2d(mln::util::timer& timer, + const mln::image2d<mln::value::label_8>& input, + const mln::util::array<mln::point2d>& seed) +{ + mln::image2d<mln::value::label_8> output; + + timer.start(); + + mln::initialize(output, input); + + mln_piter_(mln::image2d<mln::value::label_8>) p(output.domain()); + mln_eiter_(mln::util::array<mln::point2d>) e(seed); + + for_all(p) + { + unsigned d = 0; + unsigned min_d = mln_max(unsigned); + unsigned min_l = 0; + + for_all(e) + { + d = distance(p, seed(e.index_())); + + if (min_d > d) + { + min_d = d; + min_l = input(e); + } + } + + output(p) = min_l; + } + + timer.stop(); + + //mln::io::pgm::save(output, "output.pgm"); +} + + +void influence_zone_euclidian_3d(mln::util::timer& timer, + const mln::image3d<mln::value::label_8>& input, + const mln::util::array<mln::point3d>& seed) +{ + mln::image3d<mln::value::label_8> output; + + timer.start(); + + mln::initialize(output, input); + + mln_piter_(mln::image3d<mln::value::label_8>) p(output.domain()); + mln_eiter_(mln::util::array<mln::point3d>) e(seed); + + for_all(p) + { + unsigned d = 0; + unsigned min_d = mln_max(unsigned); + unsigned min_l = 0; + + for_all(e) + { + d = distance(p, seed(e.index_())); + + if (min_d > d) + { + min_d = d; + min_l = input(e); + } + } + + output(p) = min_l; + } + + timer.stop(); +} + +void test_influence_zone_euclidian_2d() +{ + mln::util::timer timer; +/* + // Global test + mln::image2d<float> chart(mln::box2d(mln::point2d(0,0), + mln::point2d(16*16+2,256+1))); + + mln::data::fill(chart, mln::literal::zero); + + for (unsigned i = 1; i < 256+1; ++i) // size + for (unsigned j = 1; j < i*i && j < 16+1; ++j) // seed + { + influence_zone_euclidian_2d(timer,build_input2d(j,i),build_seed2d(j,i)); + std::cout << "xxx|" << i << "x" << i << "|" << j << " = " + << timer.read() << std::endl; + mln::opt::at(chart, j*j,i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart, "chart.sh"); +*/ + + // Test the number of labels + mln::image1d<float> chart_seed(16*16+2); + + mln::data::fill(chart_seed, mln::literal::zero); + + for (unsigned i = 1; i < 16+1; ++i) + { + influence_zone_euclidian_2d(timer,build_input2d(i,256),build_seed2d(i,256)); + std::cout << "xxx|256x256|" << i << " = " << timer.read() << std::endl; + mln::opt::at(chart_seed, i*i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_seed, "euclidian.2d.seed.sh"); + + // Test the size of the image + // 1, 2, 4, 8, 16, 32, 64, 128, 256 + mln::image1d<float> chart_size(256+1); + + mln::data::fill(chart_size, mln::literal::zero); + + for (unsigned i = 16; i < 256+1; ++i) + { + influence_zone_euclidian_2d(timer, build_input2d(4,i), build_seed2d(4,i)); + std::cout << "xxx|" << i << "x" << i << "|16 = " + << timer.read() << std::endl; + mln::opt::at(chart_size, i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_size, "euclidian.2d.size.sh"); +} + + +void test_influence_zone_euclidian_3d() +{ + mln::util::timer timer; + + // Test the number of labels + mln::image1d<float> chart_seed(5*5*5+2); + + mln::data::fill(chart_seed, mln::literal::zero); + + for (unsigned i = 1; i < 5+1; ++i) + { + influence_zone_euclidian_3d(timer,build_input3d(i,128),build_seed3d(i,128)); + std::cout << "xxx|128x128x128|" << i << " = " << timer.read() << std::endl; + mln::opt::at(chart_seed, i*i*i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_seed, "euclidian.3d.seed.sh"); + + // Test the size of the image + // 1, 2, 4, 8, 16, 32, 64, 128, 256 + mln::image1d<float> chart_size(128+1); + + mln::data::fill(chart_size, mln::literal::zero); + + for (unsigned i = 6; i < 128+1; ++i) + { + influence_zone_euclidian_3d(timer, build_input3d(2,i), build_seed3d(2,i)); + std::cout << "xxx|" << i << "x" << i << "x" << i << "|8 = " + << timer.read() << std::endl; + mln::opt::at(chart_size, i) = timer.read(); + } + + mln::io::plot::save_image_sh(chart_size, "euclidian.3d.size.sh"); +} + + +//------------------------------------------------------------------------------ +// Main +// +// Point de fonctionnement du système [image de taille entre 1 et 256] +// Moins de 16 labels +// +//------------------------------------------------------------------------------ + + +int main() +{ + //test_influence_zone_geodesic_3d(); + //test_influence_zone_front_3d(); + //test_influence_zone_euclidian_3d() + +/* + test_influence_zone_euclidian_2d(); + test_influence_zone_front_2d(); + test_influence_zone_geodesic_2d(); +*/ + test_influence_zone_euclidian_3d(); + //test_influence_zone_geodesic_3d(); + //test_influence_zone_front_3d(); + + return 0; +} -- 1.5.6.5

14 years, 10 months

last-svn-commit-3-g2c3f552 Works on Millet2008 descriptors.

by green

* green/mln/demo/annoting/bic/Makefile: New Makefile. * green/mln/demo/annoting/bic/bic.cc: New impl. of the bic descriptor. * green/mln/demo/annoting/lep/Makefile: New Makefile. * green/mln/demo/annoting/lep/lep.cc: New impl. of the lep descriptor. * green/mln/demo/annoting/project/Makefile: New Makefile. * green/mln/demo/annoting/project/project.cc: New impl. of the project descriptor. * green/mln/demo/annoting/rgb_64/Makefile: New Makefile. * green/mln/demo/annoting/rgb_64/rgb_64.cc: New impl. of the rgb_64 descriptor. * green/mln/demo/annoting/rgb_64_9/Makefile: New Makefile. * green/mln/demo/annoting/rgb_64_9/rgb_64_9.cc: New impl. of the rgb_64_9 descriptor. * green/mln/demo/annoting/class.txt: New notes on fax class. --- milena/sandbox/ChangeLog | 25 +++ milena/sandbox/green/demo/annoting/bic/Makefile.am | 150 ++++++++++++++ milena/sandbox/green/demo/annoting/bic/bic.cc | 87 ++++++++ milena/sandbox/green/demo/annoting/class.txt | 33 +++ milena/sandbox/green/demo/annoting/lep/Makefile.am | 150 ++++++++++++++ milena/sandbox/green/demo/annoting/lep/lep.cc | 92 +++++++++ .../green/demo/annoting/project/Makefile.am | 150 ++++++++++++++ .../sandbox/green/demo/annoting/project/project.cc | 210 ++++++++++++++++++++ .../sandbox/green/demo/annoting/rgb_64/Makefile.am | 150 ++++++++++++++ .../sandbox/green/demo/annoting/rgb_64/rgb_64.cc | 47 +++++ .../green/demo/annoting/rgb_64_9/Makefile.am | 150 ++++++++++++++ .../green/demo/annoting/rgb_64_9/rgb_64_9.cc | 97 +++++++++ 12 files changed, 1341 insertions(+), 0 deletions(-) create mode 100644 milena/sandbox/green/demo/annoting/bic/Makefile.am create mode 100644 milena/sandbox/green/demo/annoting/bic/bic.cc create mode 100644 milena/sandbox/green/demo/annoting/class.txt create mode 100644 milena/sandbox/green/demo/annoting/lep/Makefile.am create mode 100644 milena/sandbox/green/demo/annoting/lep/lep.cc create mode 100644 milena/sandbox/green/demo/annoting/project/Makefile.am create mode 100644 milena/sandbox/green/demo/annoting/project/project.cc create mode 100644 milena/sandbox/green/demo/annoting/rgb_64/Makefile.am create mode 100644 milena/sandbox/green/demo/annoting/rgb_64/rgb_64.cc create mode 100644 milena/sandbox/green/demo/annoting/rgb_64_9/Makefile.am create mode 100644 milena/sandbox/green/demo/annoting/rgb_64_9/rgb_64_9.cc diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog index e93eeb8..83bd7f7 100644 --- a/milena/sandbox/ChangeLog +++ b/milena/sandbox/ChangeLog @@ -1,5 +1,30 @@ 2009-12-02 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Works on Millet2008 descriptors. + + * green/mln/demo/annoting/bic/Makefile: New Makefile. + * green/mln/demo/annoting/bic/bic.cc: New impl. of the bic descriptor. + + * green/mln/demo/annoting/lep/Makefile: New Makefile. + * green/mln/demo/annoting/lep/lep.cc: New impl. of the lep descriptor. + + * green/mln/demo/annoting/project/Makefile: New Makefile. + * green/mln/demo/annoting/project/project.cc: New impl. of the project + descriptor. + + * green/mln/demo/annoting/rgb_64/Makefile: New Makefile. + * green/mln/demo/annoting/rgb_64/rgb_64.cc: New impl. of the rgb_64 + descriptor. + + * green/mln/demo/annoting/rgb_64_9/Makefile: New Makefile. + * green/mln/demo/annoting/rgb_64_9/rgb_64_9.cc: New impl. of the + rgb_64_9 descriptor. + + * green/mln/demo/annoting/class.txt: New notes on fax class. + + +2009-12-02 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + Extend the test image database. * green/mln/img_path.hh: Add annoting directories to experiment diff --git a/milena/sandbox/green/demo/annoting/bic/Makefile.am b/milena/sandbox/green/demo/annoting/bic/Makefile.am new file mode 100644 index 0000000..96eafb4 --- /dev/null +++ b/milena/sandbox/green/demo/annoting/bic/Makefile.am @@ -0,0 +1,150 @@ +# +# Generic Makefile +# + +######### +# TOOLS # +######### + +INCLUDES= -I$(HOME)/svn/oln/trunk/milena/sandbox/green +#CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +#CXXFLAGS= -DNDEBUG -O3 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +ECHO= echo +RM= rm +MKDIR= mkdir -p +CP= cp + +SOURCE_PATTERN= green/demo +BUILD__PATTERN= green/build/demo + + +ifeq ($(findstring $(BUILD__PATTERN),$(PWD)), $(BUILD__PATTERN)) +# Case where make is done from build directory. +SOURCE_DIR= $(subst $(BUILD__PATTERN),$(SOURCE_PATTERN),$(PWD)) +BUILD__DIR= $(PWD)/ +else +# Case where make is done from source directory. +SOURCE_DIR= $(PWD)/ +BUILD__DIR= $(subst $(SOURCE_PATTERN),$(BUILD__PATTERN),$(PWD)) +endif + +SRC= $(notdir $(wildcard $(SOURCE_DIR)/*.cc)) +OLD= $(notdir $(wildcard $(SOURCE_DIR)/*~)) +OBJ= $(patsubst %.cc,%.o,$(SRC)) +SOURCE_MAKEFILE=Makefile.am +BUILD__MAKEFILE=Makefile +TARGET_FILE= $(notdir $(PWD)) +SOURCE_FILES= $(notdir $(wildcard $(SOURCE_DIR)/*.*)) +BUILD__FILES= $(filter-out $(SRC) $(SOURCE_MAKEFILE), $(SOURCE_FILES)) + +BUILD__F_PATH= $(addprefix $(BUILD__DIR)/,$(BUILD__FILES)) +SOURCE_F_PATH= $(addprefix $(SOURCE_DIR)/,$(SOURCE_FILES)) + +BUILD__M_PATH= $(addprefix $(BUILD__DIR)/,$(BUILD__MAKEFILE)) +SOURCE_M_PATH= $(addprefix $(SOURCE_DIR)/,$(SOURCE_MAKEFILE)) + +TARGET_F_PATH= $(addprefix $(BUILD__DIR)/,$(TARGET_FILE)) +OBJ_F_PATH= $(addprefix $(BUILD__DIR)/,$(OBJ)) +SRC_F_PATH= $(addprefix $(SOURCE_DIR)/,$(SRC)) +OLD_F_PATH= $(addprefix $(SOURCE_DIR)/,$(OLD)) + +############# +# BOOTSTRAP # +############# + + +bootstrap: $(BUILD__DIR) $(BUILD__F_PATH) $(BUILD__M_PATH) + +# Create, if nessary, the destination directory +$(BUILD__DIR): + $(MKDIR) $(BUILD__DIR) + +# Copy, if nessary, all the files, except the Makefile.am +$(BUILD__F_PATH): $(SOURCE_F_PATH) + $(CP) $(addprefix $(SOURCE_DIR),$(@F)) $@ + +# Copy if nessary, the Makefile.am into Makefile +$(BUILD__M_PATH): $(SOURCE_M_PATH) + $(CP) $(SOURCE_M_PATH) $(BUILD__M_PATH) + + +####### +# ALL # +####### + +# We assume that the call is done from the build directory. +# With the directive vpath, hidden files are found in the source directory. + +all: $(TARGET_F_PATH) + + +$(TARGET_F_PATH): $(OBJ_F_PATH) + $(LINK.cc) $< $(LOADLIBES) $(LDLIBS) -o $@ + +$(OBJ_F_PATH):$(SRC_F_PATH) + $(COMPILE.cc) $(OUTPUT_OPTION) $< + + +######### +# CLEAN # +######### + +# Force every time the deletion +clean: clean_target clean_obj clean_dst clean_old #clean_make + + +clean_target: + -@$(RM) $(TARGET_F_PATH) &> /dev/null + +clean_obj: + -@$(RM) $(OBJ_F_PATH) &> /dev/null + +clean_dst: + -@$(RM) $(BUILD_F_PATH) &> /dev/null + +clean_make: + -@$(RM) $(BUILD_M_PATH) &> /dev/null + +clean_old: + -@$(RM) $(OLD_F_PATH) &> /dev/null + + +######### +# PRINT # +######### + +print: print_tools print_bootstrap + +print_tools: + @$(ECHO) "HOME = $(HOME)" + @$(ECHO) "INCLUDES = $(INCLUDES)" + @$(ECHO) "CXXFLAGS = $(CXXFLAGS)" + @$(ECHO) "ECHO = $(ECHO)" + @$(ECHO) "RM = $(RM)" + @$(ECHO) "MKDIR = $(MKDIR)" + @$(ECHO) "CP = $(CP)" + @$(ECHO) + +print_bootstrap: + @$(ECHO) "PWD = $(PWD)" + @$(ECHO) "SOURCE_PATTERN = $(SOURCE_PATTERN)" + @$(ECHO) "BUILD__PATTERN = $(BUILD__PATTERN)" + @$(ECHO) "SOURCE_DIR = $(SOURCE_DIR)" + @$(ECHO) "BUILD__DIR = $(BUILD__DIR)" + @$(ECHO) "SOURCE_MAKEFILE = $(SOURCE_MAKEFILE)" + @$(ECHO) "BUILD__MAKEFILE = $(BUILD__MAKEFILE)" + @$(ECHO) "TARGET_FILE = $(TARGET_FILE)" + @$(ECHO) "SOURCE_FILES = $(SOURCE_FILES)" + @$(ECHO) "SOURCE_F_PATH = $(SOURCE_F_PATH)" + @$(ECHO) "BUILD__FILES = $(BUILD__FILES)" + @$(ECHO) "BUILD__F_PATH = $(BUILD__F_PATH)" + @$(ECHO) "BUILD__M_PATH = $(BUILD__M_PATH)" + @$(ECHO) "SOURCE_M_PATH = $(SOURCE_M_PATH)" + @$(ECHO) "SRC = $(SRC)" + @$(ECHO) "OBJ = $(OBJ)" + @$(ECHO) "OLD = $(OLD)" + @$(ECHO) "SRC_F_PATH = $(SRC_F_PATH)" + @$(ECHO) "OBJ_F_PATH = $(OBJ_F_PATH)" + @$(ECHO) "OLD_F_PATH = $(OLD_F_PATH)" + @$(ECHO) diff --git a/milena/sandbox/green/demo/annoting/bic/bic.cc b/milena/sandbox/green/demo/annoting/bic/bic.cc new file mode 100644 index 0000000..7e15970 --- /dev/null +++ b/milena/sandbox/green/demo/annoting/bic/bic.cc @@ -0,0 +1,87 @@ +// Test de l'opérateur de Millet BIC +// Composante RGB sur 6 bits, puis on distingue les points intérieurs des points +// extérieurs. Les points intérieurs ont la même couleur que leur 4-voisinage. +// Puis on construit les 2 histogrammes (intérieur/extérieur) +#include <iostream> + +#include <mln/accu/stat/histo3d_rgb.hh> + +#include <mln/core/image/image2d.hh> +#include <mln/core/alias/neighb2d.hh> +#include <mln/core/routine/initialize.hh> +#include <mln/core/var.hh> + +#include <mln/data/compute.hh> +#include <mln/data/convert.hh> +#include <mln/data/transform.hh> +#include <mln/data/fill.hh> + +#include <mln/debug/println.hh> + +#include <mln/fun/v2v/rgb8_to_rgbn.hh> + +#include <mln/img_path.hh> + +#include <mln/io/ppm/load.hh> +#include <mln/io/ppm/save.hh> +#include <mln/io/plot/save_image_sh.hh> + +#include <mln/literal/colors.hh> + +#include <mln/value/rgb.hh> +#include <mln/value/rgb8.hh> + +int main() +{ + typedef mln::value::rgb<3> t_rgb3; + typedef mln::value::rgb8 t_rgb8; + typedef mln::neighb2d t_neighb2d; + typedef mln::image2d<t_rgb3> t_image2d_rgb3; + typedef mln::image2d<t_rgb8> t_image2d_rgb8; + typedef mln::image3d<unsigned> t_histo3d; + typedef mln::fun::v2v::rgb8_to_rgbn<3> t_rgb8_to_rgb3; + typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun; + + t_image2d_rgb8 input_rgb8; + t_image2d_rgb3 input_rgb3; + t_image2d_rgb3 interior_rgb3; + t_image2d_rgb3 exterior_rgb3; + t_histo3d histo_exterior; + t_histo3d histo_interior; + + // IMAGE LOADING PHASE + std::cout << "Image loading phase ..." << std::endl; + mln::io::ppm::load(input_rgb8, SCRIBO_PPM_IMG_PATH"/mp00082c_50p.ppm"); + input_rgb3 = mln::data::transform(input_rgb8, t_rgb8_to_rgb3()); + + mln::initialize(interior_rgb3, input_rgb3); + mln::initialize(exterior_rgb3, input_rgb3); + + mln::data::fill(interior_rgb3, mln::literal::black); + mln::data::fill(exterior_rgb3, mln::literal::black); + + mln_piter_(t_image2d_rgb3) p(input_rgb3.domain()); + mln_niter_(t_neighb2d) n(mln::c4(), p); + + for_all(p) + { + bool is_interior = true; + + for_all(n) + is_interior = is_interior && (input_rgb3(p) == input_rgb3(n)); + + if (is_interior) + interior_rgb3(p) = input_rgb3(p); + else + exterior_rgb3(p) = input_rgb3(p); + } + + histo_interior = mln::data::compute(t_histo3d_fun(), interior_rgb3); + histo_exterior = mln::data::compute(t_histo3d_fun(), exterior_rgb3); + + //mln::io::plot::save_image_sh(histo, "histo.sh"); + + // PRINTING PHASE + mln::debug::println(histo_interior); + mln::debug::println(histo_exterior); +} diff --git a/milena/sandbox/green/demo/annoting/class.txt b/milena/sandbox/green/demo/annoting/class.txt new file mode 100644 index 0000000..ec7e92e --- /dev/null +++ b/milena/sandbox/green/demo/annoting/class.txt @@ -0,0 +1,33 @@ +Dans scribo les classes de documents sont: + +- image seule (photo) +- courrier manuscrit +- courrier dactylographié +- facture ou feuille organisée sous forme de tableau +- article de journal +- document composite +- infographie (logo, carte, dessin vectoriel) +- slide (copie d'écran ou sauvegarde au format image) + + +Où se situent les faxes ? + + +Description d'un fax: +- ratio l/L assimilable à du A4 ou US Letter +- nombre de couleurs très petit, < 1000 +- plutôt du N & B, mais quelques faxes sont en couleurs +- généralement un % élevé de blanc (la page vierge) + + +Description d'un article de journal: +- nombre élevés de couleurs (> 10 000) en général +- quelques articles de conférences autour de 5000 + + +Description des photos: +- un nombre très élevé de couleurs +- ratio non A4, non US Letter + + + diff --git a/milena/sandbox/green/demo/annoting/lep/Makefile.am b/milena/sandbox/green/demo/annoting/lep/Makefile.am new file mode 100644 index 0000000..96eafb4 --- /dev/null +++ b/milena/sandbox/green/demo/annoting/lep/Makefile.am @@ -0,0 +1,150 @@ +# +# Generic Makefile +# + +######### +# TOOLS # +######### + +INCLUDES= -I$(HOME)/svn/oln/trunk/milena/sandbox/green +#CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +#CXXFLAGS= -DNDEBUG -O3 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +ECHO= echo +RM= rm +MKDIR= mkdir -p +CP= cp + +SOURCE_PATTERN= green/demo +BUILD__PATTERN= green/build/demo + + +ifeq ($(findstring $(BUILD__PATTERN),$(PWD)), $(BUILD__PATTERN)) +# Case where make is done from build directory. +SOURCE_DIR= $(subst $(BUILD__PATTERN),$(SOURCE_PATTERN),$(PWD)) +BUILD__DIR= $(PWD)/ +else +# Case where make is done from source directory. +SOURCE_DIR= $(PWD)/ +BUILD__DIR= $(subst $(SOURCE_PATTERN),$(BUILD__PATTERN),$(PWD)) +endif + +SRC= $(notdir $(wildcard $(SOURCE_DIR)/*.cc)) +OLD= $(notdir $(wildcard $(SOURCE_DIR)/*~)) +OBJ= $(patsubst %.cc,%.o,$(SRC)) +SOURCE_MAKEFILE=Makefile.am +BUILD__MAKEFILE=Makefile +TARGET_FILE= $(notdir $(PWD)) +SOURCE_FILES= $(notdir $(wildcard $(SOURCE_DIR)/*.*)) +BUILD__FILES= $(filter-out $(SRC) $(SOURCE_MAKEFILE), $(SOURCE_FILES)) + +BUILD__F_PATH= $(addprefix $(BUILD__DIR)/,$(BUILD__FILES)) +SOURCE_F_PATH= $(addprefix $(SOURCE_DIR)/,$(SOURCE_FILES)) + +BUILD__M_PATH= $(addprefix $(BUILD__DIR)/,$(BUILD__MAKEFILE)) +SOURCE_M_PATH= $(addprefix $(SOURCE_DIR)/,$(SOURCE_MAKEFILE)) + +TARGET_F_PATH= $(addprefix $(BUILD__DIR)/,$(TARGET_FILE)) +OBJ_F_PATH= $(addprefix $(BUILD__DIR)/,$(OBJ)) +SRC_F_PATH= $(addprefix $(SOURCE_DIR)/,$(SRC)) +OLD_F_PATH= $(addprefix $(SOURCE_DIR)/,$(OLD)) + +############# +# BOOTSTRAP # +############# + + +bootstrap: $(BUILD__DIR) $(BUILD__F_PATH) $(BUILD__M_PATH) + +# Create, if nessary, the destination directory +$(BUILD__DIR): + $(MKDIR) $(BUILD__DIR) + +# Copy, if nessary, all the files, except the Makefile.am +$(BUILD__F_PATH): $(SOURCE_F_PATH) + $(CP) $(addprefix $(SOURCE_DIR),$(@F)) $@ + +# Copy if nessary, the Makefile.am into Makefile +$(BUILD__M_PATH): $(SOURCE_M_PATH) + $(CP) $(SOURCE_M_PATH) $(BUILD__M_PATH) + + +####### +# ALL # +####### + +# We assume that the call is done from the build directory. +# With the directive vpath, hidden files are found in the source directory. + +all: $(TARGET_F_PATH) + + +$(TARGET_F_PATH): $(OBJ_F_PATH) + $(LINK.cc) $< $(LOADLIBES) $(LDLIBS) -o $@ + +$(OBJ_F_PATH):$(SRC_F_PATH) + $(COMPILE.cc) $(OUTPUT_OPTION) $< + + +######### +# CLEAN # +######### + +# Force every time the deletion +clean: clean_target clean_obj clean_dst clean_old #clean_make + + +clean_target: + -@$(RM) $(TARGET_F_PATH) &> /dev/null + +clean_obj: + -@$(RM) $(OBJ_F_PATH) &> /dev/null + +clean_dst: + -@$(RM) $(BUILD_F_PATH) &> /dev/null + +clean_make: + -@$(RM) $(BUILD_M_PATH) &> /dev/null + +clean_old: + -@$(RM) $(OLD_F_PATH) &> /dev/null + + +######### +# PRINT # +######### + +print: print_tools print_bootstrap + +print_tools: + @$(ECHO) "HOME = $(HOME)" + @$(ECHO) "INCLUDES = $(INCLUDES)" + @$(ECHO) "CXXFLAGS = $(CXXFLAGS)" + @$(ECHO) "ECHO = $(ECHO)" + @$(ECHO) "RM = $(RM)" + @$(ECHO) "MKDIR = $(MKDIR)" + @$(ECHO) "CP = $(CP)" + @$(ECHO) + +print_bootstrap: + @$(ECHO) "PWD = $(PWD)" + @$(ECHO) "SOURCE_PATTERN = $(SOURCE_PATTERN)" + @$(ECHO) "BUILD__PATTERN = $(BUILD__PATTERN)" + @$(ECHO) "SOURCE_DIR = $(SOURCE_DIR)" + @$(ECHO) "BUILD__DIR = $(BUILD__DIR)" + @$(ECHO) "SOURCE_MAKEFILE = $(SOURCE_MAKEFILE)" + @$(ECHO) "BUILD__MAKEFILE = $(BUILD__MAKEFILE)" + @$(ECHO) "TARGET_FILE = $(TARGET_FILE)" + @$(ECHO) "SOURCE_FILES = $(SOURCE_FILES)" + @$(ECHO) "SOURCE_F_PATH = $(SOURCE_F_PATH)" + @$(ECHO) "BUILD__FILES = $(BUILD__FILES)" + @$(ECHO) "BUILD__F_PATH = $(BUILD__F_PATH)" + @$(ECHO) "BUILD__M_PATH = $(BUILD__M_PATH)" + @$(ECHO) "SOURCE_M_PATH = $(SOURCE_M_PATH)" + @$(ECHO) "SRC = $(SRC)" + @$(ECHO) "OBJ = $(OBJ)" + @$(ECHO) "OLD = $(OLD)" + @$(ECHO) "SRC_F_PATH = $(SRC_F_PATH)" + @$(ECHO) "OBJ_F_PATH = $(OBJ_F_PATH)" + @$(ECHO) "OLD_F_PATH = $(OLD_F_PATH)" + @$(ECHO) diff --git a/milena/sandbox/green/demo/annoting/lep/lep.cc b/milena/sandbox/green/demo/annoting/lep/lep.cc new file mode 100644 index 0000000..24ee7b4 --- /dev/null +++ b/milena/sandbox/green/demo/annoting/lep/lep.cc @@ -0,0 +1,92 @@ +// Test de l'opérateur de Millet LEP +// Composante RGB sur 6 bits, puis sobel 3x3, puis identification configuration +// L'image histogramme des configurations est la résultante + +#include <iostream> + +#include <mln/accu/stat/histo1d.hh> + +#include <mln/binarization/threshold.hh> + +#include <mln/core/alias/w_window2d_int.hh> +#include <mln/core/image/image2d.hh> + +#include <mln/data/compute.hh> +#include <mln/data/convert.hh> +#include <mln/data/transform.hh> + +#include <mln/debug/println.hh> + +#include <mln/fun/v2v/rgb8_to_rgbn.hh> + +#include <mln/img_path.hh> + +#include <mln/io/pgm/load.hh> +#include <mln/io/pgm/save.hh> +#include <mln/io/plot/save_image_sh.hh> + +#include <mln/linear/ch_convolve.hh> +#include <mln/linear/convolve.hh> +#include <mln/linear/sobel_2d.hh> + +#include <mln/make/w_window2d.hh> + +#include <mln/value/rgb.hh> +#include <mln/value/rgb8.hh> +#include <mln/value/int_u8.hh> + +#include <mln/core/var.hh> + + +int main() +{ + using namespace mln; + + typedef mln::w_window2d_int t_win2d; + typedef mln::value::int_u8 t_int_u8; + typedef mln::value::int_u<9> t_int_u9; + typedef mln::image2d<t_int_u8> t_image2d_int_u8; + typedef mln::image2d<t_int_u9> t_image2d_int_u9; + typedef mln::image2d<int> t_image2d_int; + typedef mln::image2d<unsigned> t_image2d_unsigned; + typedef mln::image2d<float> t_image2d_float; + typedef mln::image2d<double> t_image2d_double; + typedef mln::image2d<bool> t_image2d_bool; + typedef mln::image1d<unsigned> t_histo1d; + typedef mln::accu::meta::stat::histo1d t_histo1d_fun; + + t_image2d_int_u8 input_int_u8; + t_image2d_int input_int; + t_image2d_unsigned input_unsigned; + t_image2d_float sobel; + t_image2d_bool thresh_bool; + t_image2d_int_u8 thresh_int_u8; + t_image2d_float conf_float; + t_image2d_int_u9 conf_int_u9; + t_histo1d histo; + + // IMAGE LOADING PHASE + std::cout << "Image loading phase ..." << std::endl; + mln::io::pgm::load(input_int_u8,SCRIBO_PGM_IMG_PATH"/mp00082c_50p_8bits.pgm"); + + sobel = mln::linear::sobel_2d_l1_norm(input_int_u8); + + //mln::io::plot::save_image_sh(sobel, "sobel.sh"); + thresh_bool = mln::binarization::threshold(sobel, 100); + thresh_int_u8 = mln::data::convert(mln::value::int_u8(), thresh_bool); + //mln::io::plot::save_image_sh(thresh, "thresh.sh"); + + int ws[] = { 1, 2, 4, + 8, 256, 16, + 32, 64, 128 }; + + t_win2d win2d = mln::make::w_window2d(ws); + conf_float = mln::linear::convolve(thresh_int_u8, win2d); + conf_int_u9 = mln::data::convert(t_int_u9(), conf_float); + histo = mln::data::compute(t_histo1d_fun(), conf_int_u9); + + mln::io::plot::save_image_sh(histo, "histo.sh"); + + // PRINTING PHASE + mln::debug::println(histo); +} diff --git a/milena/sandbox/green/demo/annoting/project/Makefile.am b/milena/sandbox/green/demo/annoting/project/Makefile.am new file mode 100644 index 0000000..96eafb4 --- /dev/null +++ b/milena/sandbox/green/demo/annoting/project/Makefile.am @@ -0,0 +1,150 @@ +# +# Generic Makefile +# + +######### +# TOOLS # +######### + +INCLUDES= -I$(HOME)/svn/oln/trunk/milena/sandbox/green +#CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +#CXXFLAGS= -DNDEBUG -O3 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +ECHO= echo +RM= rm +MKDIR= mkdir -p +CP= cp + +SOURCE_PATTERN= green/demo +BUILD__PATTERN= green/build/demo + + +ifeq ($(findstring $(BUILD__PATTERN),$(PWD)), $(BUILD__PATTERN)) +# Case where make is done from build directory. +SOURCE_DIR= $(subst $(BUILD__PATTERN),$(SOURCE_PATTERN),$(PWD)) +BUILD__DIR= $(PWD)/ +else +# Case where make is done from source directory. +SOURCE_DIR= $(PWD)/ +BUILD__DIR= $(subst $(SOURCE_PATTERN),$(BUILD__PATTERN),$(PWD)) +endif + +SRC= $(notdir $(wildcard $(SOURCE_DIR)/*.cc)) +OLD= $(notdir $(wildcard $(SOURCE_DIR)/*~)) +OBJ= $(patsubst %.cc,%.o,$(SRC)) +SOURCE_MAKEFILE=Makefile.am +BUILD__MAKEFILE=Makefile +TARGET_FILE= $(notdir $(PWD)) +SOURCE_FILES= $(notdir $(wildcard $(SOURCE_DIR)/*.*)) +BUILD__FILES= $(filter-out $(SRC) $(SOURCE_MAKEFILE), $(SOURCE_FILES)) + +BUILD__F_PATH= $(addprefix $(BUILD__DIR)/,$(BUILD__FILES)) +SOURCE_F_PATH= $(addprefix $(SOURCE_DIR)/,$(SOURCE_FILES)) + +BUILD__M_PATH= $(addprefix $(BUILD__DIR)/,$(BUILD__MAKEFILE)) +SOURCE_M_PATH= $(addprefix $(SOURCE_DIR)/,$(SOURCE_MAKEFILE)) + +TARGET_F_PATH= $(addprefix $(BUILD__DIR)/,$(TARGET_FILE)) +OBJ_F_PATH= $(addprefix $(BUILD__DIR)/,$(OBJ)) +SRC_F_PATH= $(addprefix $(SOURCE_DIR)/,$(SRC)) +OLD_F_PATH= $(addprefix $(SOURCE_DIR)/,$(OLD)) + +############# +# BOOTSTRAP # +############# + + +bootstrap: $(BUILD__DIR) $(BUILD__F_PATH) $(BUILD__M_PATH) + +# Create, if nessary, the destination directory +$(BUILD__DIR): + $(MKDIR) $(BUILD__DIR) + +# Copy, if nessary, all the files, except the Makefile.am +$(BUILD__F_PATH): $(SOURCE_F_PATH) + $(CP) $(addprefix $(SOURCE_DIR),$(@F)) $@ + +# Copy if nessary, the Makefile.am into Makefile +$(BUILD__M_PATH): $(SOURCE_M_PATH) + $(CP) $(SOURCE_M_PATH) $(BUILD__M_PATH) + + +####### +# ALL # +####### + +# We assume that the call is done from the build directory. +# With the directive vpath, hidden files are found in the source directory. + +all: $(TARGET_F_PATH) + + +$(TARGET_F_PATH): $(OBJ_F_PATH) + $(LINK.cc) $< $(LOADLIBES) $(LDLIBS) -o $@ + +$(OBJ_F_PATH):$(SRC_F_PATH) + $(COMPILE.cc) $(OUTPUT_OPTION) $< + + +######### +# CLEAN # +######### + +# Force every time the deletion +clean: clean_target clean_obj clean_dst clean_old #clean_make + + +clean_target: + -@$(RM) $(TARGET_F_PATH) &> /dev/null + +clean_obj: + -@$(RM) $(OBJ_F_PATH) &> /dev/null + +clean_dst: + -@$(RM) $(BUILD_F_PATH) &> /dev/null + +clean_make: + -@$(RM) $(BUILD_M_PATH) &> /dev/null + +clean_old: + -@$(RM) $(OLD_F_PATH) &> /dev/null + + +######### +# PRINT # +######### + +print: print_tools print_bootstrap + +print_tools: + @$(ECHO) "HOME = $(HOME)" + @$(ECHO) "INCLUDES = $(INCLUDES)" + @$(ECHO) "CXXFLAGS = $(CXXFLAGS)" + @$(ECHO) "ECHO = $(ECHO)" + @$(ECHO) "RM = $(RM)" + @$(ECHO) "MKDIR = $(MKDIR)" + @$(ECHO) "CP = $(CP)" + @$(ECHO) + +print_bootstrap: + @$(ECHO) "PWD = $(PWD)" + @$(ECHO) "SOURCE_PATTERN = $(SOURCE_PATTERN)" + @$(ECHO) "BUILD__PATTERN = $(BUILD__PATTERN)" + @$(ECHO) "SOURCE_DIR = $(SOURCE_DIR)" + @$(ECHO) "BUILD__DIR = $(BUILD__DIR)" + @$(ECHO) "SOURCE_MAKEFILE = $(SOURCE_MAKEFILE)" + @$(ECHO) "BUILD__MAKEFILE = $(BUILD__MAKEFILE)" + @$(ECHO) "TARGET_FILE = $(TARGET_FILE)" + @$(ECHO) "SOURCE_FILES = $(SOURCE_FILES)" + @$(ECHO) "SOURCE_F_PATH = $(SOURCE_F_PATH)" + @$(ECHO) "BUILD__FILES = $(BUILD__FILES)" + @$(ECHO) "BUILD__F_PATH = $(BUILD__F_PATH)" + @$(ECHO) "BUILD__M_PATH = $(BUILD__M_PATH)" + @$(ECHO) "SOURCE_M_PATH = $(SOURCE_M_PATH)" + @$(ECHO) "SRC = $(SRC)" + @$(ECHO) "OBJ = $(OBJ)" + @$(ECHO) "OLD = $(OLD)" + @$(ECHO) "SRC_F_PATH = $(SRC_F_PATH)" + @$(ECHO) "OBJ_F_PATH = $(OBJ_F_PATH)" + @$(ECHO) "OLD_F_PATH = $(OLD_F_PATH)" + @$(ECHO) diff --git a/milena/sandbox/green/demo/annoting/project/project.cc b/milena/sandbox/green/demo/annoting/project/project.cc new file mode 100644 index 0000000..e6b25e3 --- /dev/null +++ b/milena/sandbox/green/demo/annoting/project/project.cc @@ -0,0 +1,210 @@ +// Test de l'opérateur de Millet PROJECT +// subsampling the image sur 100x100 +// Sobel, puis seuillage à 100 +// division horizontale de l'image, puis projection verticale des pixels +// division verticale puis projection horizontale +// assemblage des 4 vecteurs de taille 100 + +#include <iostream> +#include <sstream> + +#include <mln/accu/image/init.hh> +#include <mln/accu/image/take.hh> +#include <mln/accu/image/to_result.hh> +#include <mln/accu/stat/mean.hh> + +#include <mln/binarization/threshold.hh> + +#include <mln/core/alias/box2d.hh> +#include <mln/core/alias/point2d.hh> +#include <mln/core/image/image2d.hh> +#include <mln/core/image/image1d.hh> +#include <mln/core/image/dmorph/image_if.hh> +#include <mln/core/routine/initialize.hh> +#include <mln/core/image/dmorph/unproject_image.hh> + + + +#include <mln/data/compute.hh> +#include <mln/data/convert.hh> +#include <mln/data/paste.hh> +#include <mln/data/transform.hh> + +#include <mln/debug/println.hh> + +#include <mln/fun/v2v/projection.hh> + +#include <mln/img_path.hh> + +#include <mln/io/pgm/load.hh> +#include <mln/io/pgm/save.hh> +#include <mln/io/pbm/save.hh> + +#include <mln/linear/sobel_2d.hh> + +#include <mln/opt/at.hh> + +const char *get_name(const char *base, const unsigned i, const unsigned j) +{ + std::ostringstream name; + + name << base; + name << i; + name << "_"; + name << j; + name << ".ppm"; + + return name.str().c_str(); +} + + +mln::image1d<mln::value::int_u8> +project_row(const mln::image2d<mln::value::int_u8>& img) +{ + typedef mln::accu::math::sum<mln::value::int_u8,mln::value::int_u8> t_sum; + typedef mln::fun::v2v::projection<mln::point2d,0> t_projection; + + mln::image1d<t_sum> img_accu(img.ncols()); + + mln::accu::image::init(img_accu); + + mln::accu::image::take(unproject(img_accu, + img.domain(), + t_projection()).rw(), + img); + + return mln::accu::image::to_result(img_accu); +} + +mln::image1d<mln::value::int_u8> +project_col(const mln::image2d<mln::value::int_u8>& img) +{ + typedef mln::accu::math::sum<mln::value::int_u8,mln::value::int_u8> t_sum; + typedef mln::fun::v2v::projection<mln::point2d,1> t_projection; + + mln::image1d<t_sum> img_accu(img.nrows()); + + mln::accu::image::init(img_accu); + + mln::accu::image::take(unproject(img_accu, + img.domain(), + t_projection()).rw(), + img); + + return mln::accu::image::to_result(img_accu); +} + + +int main() +{ + typedef mln::value::int_u8 t_int_u8; + typedef mln::algebra::vec<3,float> t_vec3f; + typedef mln::algebra::vec<3,unsigned> t_vec3u; + typedef mln::image2d<float> t_image2d_float; + typedef mln::image2d<bool> t_image2d_bool; + typedef mln::image2d<t_int_u8> t_image2d_int_u8; + typedef mln::accu::meta::stat::mean t_mean_fun; + typedef mln::accu::math::sum<t_int_u8,t_int_u8> t_sum; + typedef mln::image1d<t_int_u8> t_image1d_int_u8; + + t_image2d_int_u8 input_int_u8; + t_image2d_float sobel; + t_image2d_bool thresh_bool; + t_image2d_int_u8 thresh_int_u8; + + // IMAGE LOADING PHASE + std::cout << "Image loading phase ..." << std::endl; + mln::io::pgm::load(input_int_u8,SCRIBO_PGM_IMG_PATH"/mp00082c_50p_8bits.pgm"); + + + // IMAGE SPLITTING PHASE + t_image2d_int_u8 subimg_int_u8(mln::box2d(mln::point2d(0,0), + mln::point2d(100,100))); + + mln::box2d domain = input_int_u8.domain(); + mln::point2d pmin = domain.pmin(); + mln::point2d pmax = domain.pmax(); + + unsigned sz_row = (pmax.row() - pmin.row())/ 100; + unsigned sz_col = (pmax.col() - pmin.col())/ 100; + + std::cout << domain << std::endl; + + // Subsampling in 100x100 + // FIXME Test that is it a subsampling, not a upsampling! + for (unsigned i = 0; i < 100; ++i) + for (unsigned j = 0; j < 100; ++j) + { + mln::point2d min(pmin.row()+sz_row*i,pmin.col()+sz_col*j); + mln::point2d max(pmin.row()+sz_row*(i+1),pmin.col()+sz_col*(j+1)); + mln::box2d dom(min,max); + + std::cout << dom << std::endl; + + // Save it + t_image2d_int_u8 input_part_int_u8(dom); + + mln::data::paste(input_int_u8 | dom, input_part_int_u8); + //mln::io::pgm::save(input_part_int_u8, get_name("output",i,j)); + float mean = mln::data::compute(t_mean_fun(), input_part_int_u8); + t_int_u8 val = static_cast<t_int_u8>(mean); + mln::opt::at(subimg_int_u8, i,j) = val; + } + + mln::io::pgm::save(subimg_int_u8, "subimg.pgm"); + + sobel = mln::linear::sobel_2d_l1_norm(subimg_int_u8); + thresh_bool = mln::binarization::threshold(sobel, 100); + thresh_int_u8 = mln::data::convert(t_int_u8(), thresh_bool); + + mln::io::pbm::save(thresh_bool, "subimg.pbm"); + + // Define img_up, img_down, img_left, img_right + t_image2d_int_u8 img_up(mln::box2d(mln::point2d(0,0), + mln::point2d(49,99))); + + mln::data::paste(thresh_int_u8 | img_up.domain(), img_up); + + + t_image2d_int_u8 img_down(mln::box2d(mln::point2d(50,0), + mln::point2d(99,99))); + + mln::data::paste(thresh_int_u8 | img_down.domain(), img_down); + + t_image2d_int_u8 img_left(mln::box2d(mln::point2d(0,0), + mln::point2d(99,49))); + + mln::data::paste(thresh_int_u8 | img_left.domain(), img_left); + + + t_image2d_int_u8 img_right(mln::box2d(mln::point2d(0,50), + mln::point2d(99,99))); + + mln::data::paste(thresh_int_u8 | img_right.domain(), img_right); + + + // Define project_up, project_down, project_left, project_right + t_image1d_int_u8 project_up = project_row(img_up); + t_image1d_int_u8 project_down = project_row(img_down); + t_image1d_int_u8 project_left = project_col(img_left); + t_image1d_int_u8 project_right = project_col(img_right); + + mln::io::pgm::save(img_up, "up.pgm"); + mln::io::pgm::save(img_down, "down.pgm"); + mln::io::pgm::save(img_left, "left.pgm"); + mln::io::pgm::save(img_right, "right.pgm"); + + // PRINTING PHASE + + std::cout << std::endl << "UP" << std::endl; + mln::debug::println(project_up); + + std::cout << std::endl << "DOWN" << std::endl; + mln::debug::println(project_down); + + std::cout << std::endl << "LEFT" << std::endl; + mln::debug::println(project_left); + + std::cout << std::endl << "RIGHT" << std::endl; + mln::debug::println(project_right); +} diff --git a/milena/sandbox/green/demo/annoting/rgb_64/Makefile.am b/milena/sandbox/green/demo/annoting/rgb_64/Makefile.am new file mode 100644 index 0000000..96eafb4 --- /dev/null +++ b/milena/sandbox/green/demo/annoting/rgb_64/Makefile.am @@ -0,0 +1,150 @@ +# +# Generic Makefile +# + +######### +# TOOLS # +######### + +INCLUDES= -I$(HOME)/svn/oln/trunk/milena/sandbox/green +#CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +#CXXFLAGS= -DNDEBUG -O3 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +ECHO= echo +RM= rm +MKDIR= mkdir -p +CP= cp + +SOURCE_PATTERN= green/demo +BUILD__PATTERN= green/build/demo + + +ifeq ($(findstring $(BUILD__PATTERN),$(PWD)), $(BUILD__PATTERN)) +# Case where make is done from build directory. +SOURCE_DIR= $(subst $(BUILD__PATTERN),$(SOURCE_PATTERN),$(PWD)) +BUILD__DIR= $(PWD)/ +else +# Case where make is done from source directory. +SOURCE_DIR= $(PWD)/ +BUILD__DIR= $(subst $(SOURCE_PATTERN),$(BUILD__PATTERN),$(PWD)) +endif + +SRC= $(notdir $(wildcard $(SOURCE_DIR)/*.cc)) +OLD= $(notdir $(wildcard $(SOURCE_DIR)/*~)) +OBJ= $(patsubst %.cc,%.o,$(SRC)) +SOURCE_MAKEFILE=Makefile.am +BUILD__MAKEFILE=Makefile +TARGET_FILE= $(notdir $(PWD)) +SOURCE_FILES= $(notdir $(wildcard $(SOURCE_DIR)/*.*)) +BUILD__FILES= $(filter-out $(SRC) $(SOURCE_MAKEFILE), $(SOURCE_FILES)) + +BUILD__F_PATH= $(addprefix $(BUILD__DIR)/,$(BUILD__FILES)) +SOURCE_F_PATH= $(addprefix $(SOURCE_DIR)/,$(SOURCE_FILES)) + +BUILD__M_PATH= $(addprefix $(BUILD__DIR)/,$(BUILD__MAKEFILE)) +SOURCE_M_PATH= $(addprefix $(SOURCE_DIR)/,$(SOURCE_MAKEFILE)) + +TARGET_F_PATH= $(addprefix $(BUILD__DIR)/,$(TARGET_FILE)) +OBJ_F_PATH= $(addprefix $(BUILD__DIR)/,$(OBJ)) +SRC_F_PATH= $(addprefix $(SOURCE_DIR)/,$(SRC)) +OLD_F_PATH= $(addprefix $(SOURCE_DIR)/,$(OLD)) + +############# +# BOOTSTRAP # +############# + + +bootstrap: $(BUILD__DIR) $(BUILD__F_PATH) $(BUILD__M_PATH) + +# Create, if nessary, the destination directory +$(BUILD__DIR): + $(MKDIR) $(BUILD__DIR) + +# Copy, if nessary, all the files, except the Makefile.am +$(BUILD__F_PATH): $(SOURCE_F_PATH) + $(CP) $(addprefix $(SOURCE_DIR),$(@F)) $@ + +# Copy if nessary, the Makefile.am into Makefile +$(BUILD__M_PATH): $(SOURCE_M_PATH) + $(CP) $(SOURCE_M_PATH) $(BUILD__M_PATH) + + +####### +# ALL # +####### + +# We assume that the call is done from the build directory. +# With the directive vpath, hidden files are found in the source directory. + +all: $(TARGET_F_PATH) + + +$(TARGET_F_PATH): $(OBJ_F_PATH) + $(LINK.cc) $< $(LOADLIBES) $(LDLIBS) -o $@ + +$(OBJ_F_PATH):$(SRC_F_PATH) + $(COMPILE.cc) $(OUTPUT_OPTION) $< + + +######### +# CLEAN # +######### + +# Force every time the deletion +clean: clean_target clean_obj clean_dst clean_old #clean_make + + +clean_target: + -@$(RM) $(TARGET_F_PATH) &> /dev/null + +clean_obj: + -@$(RM) $(OBJ_F_PATH) &> /dev/null + +clean_dst: + -@$(RM) $(BUILD_F_PATH) &> /dev/null + +clean_make: + -@$(RM) $(BUILD_M_PATH) &> /dev/null + +clean_old: + -@$(RM) $(OLD_F_PATH) &> /dev/null + + +######### +# PRINT # +######### + +print: print_tools print_bootstrap + +print_tools: + @$(ECHO) "HOME = $(HOME)" + @$(ECHO) "INCLUDES = $(INCLUDES)" + @$(ECHO) "CXXFLAGS = $(CXXFLAGS)" + @$(ECHO) "ECHO = $(ECHO)" + @$(ECHO) "RM = $(RM)" + @$(ECHO) "MKDIR = $(MKDIR)" + @$(ECHO) "CP = $(CP)" + @$(ECHO) + +print_bootstrap: + @$(ECHO) "PWD = $(PWD)" + @$(ECHO) "SOURCE_PATTERN = $(SOURCE_PATTERN)" + @$(ECHO) "BUILD__PATTERN = $(BUILD__PATTERN)" + @$(ECHO) "SOURCE_DIR = $(SOURCE_DIR)" + @$(ECHO) "BUILD__DIR = $(BUILD__DIR)" + @$(ECHO) "SOURCE_MAKEFILE = $(SOURCE_MAKEFILE)" + @$(ECHO) "BUILD__MAKEFILE = $(BUILD__MAKEFILE)" + @$(ECHO) "TARGET_FILE = $(TARGET_FILE)" + @$(ECHO) "SOURCE_FILES = $(SOURCE_FILES)" + @$(ECHO) "SOURCE_F_PATH = $(SOURCE_F_PATH)" + @$(ECHO) "BUILD__FILES = $(BUILD__FILES)" + @$(ECHO) "BUILD__F_PATH = $(BUILD__F_PATH)" + @$(ECHO) "BUILD__M_PATH = $(BUILD__M_PATH)" + @$(ECHO) "SOURCE_M_PATH = $(SOURCE_M_PATH)" + @$(ECHO) "SRC = $(SRC)" + @$(ECHO) "OBJ = $(OBJ)" + @$(ECHO) "OLD = $(OLD)" + @$(ECHO) "SRC_F_PATH = $(SRC_F_PATH)" + @$(ECHO) "OBJ_F_PATH = $(OBJ_F_PATH)" + @$(ECHO) "OLD_F_PATH = $(OLD_F_PATH)" + @$(ECHO) diff --git a/milena/sandbox/green/demo/annoting/rgb_64/rgb_64.cc b/milena/sandbox/green/demo/annoting/rgb_64/rgb_64.cc new file mode 100644 index 0000000..9ff2300 --- /dev/null +++ b/milena/sandbox/green/demo/annoting/rgb_64/rgb_64.cc @@ -0,0 +1,47 @@ +// Test de l'opérateur de Millet RGB-64 +// Composante RGB sur 2 bits, puis histogramme de 64 composantes +// L'image est la résultante + +#include <iostream> + +#include <mln/accu/stat/histo3d_rgb.hh> + +#include <mln/core/image/image2d.hh> + +#include <mln/data/compute.hh> +#include <mln/data/transform.hh> + +#include <mln/debug/println.hh> + +#include <mln/fun/v2v/rgb8_to_rgbn.hh> + +#include <mln/img_path.hh> + +#include <mln/io/ppm/load.hh> + +#include <mln/value/rgb.hh> +#include <mln/value/rgb8.hh> + +int main() +{ + typedef mln::fun::v2v::rgb8_to_rgbn<2> t_rgb8_to_rgb2; + typedef mln::value::rgb8 t_rgb8; + typedef mln::value::rgb<2> t_rgb2; + typedef mln::image2d<t_rgb8> t_image2d_rgb8; + typedef mln::image2d<t_rgb2> t_image2d_rgb2; + typedef mln::image3d<unsigned> t_histo3d; + typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun; + + t_image2d_rgb8 input_rgb8; + t_image2d_rgb2 input_rgb2; + t_histo3d histo; + + // IMAGE LOADING PHASE + std::cout << "Image loading phase ..." << std::endl; + mln::io::ppm::load(input_rgb8, SCRIBO_PPM_IMG_PATH"/mp00082c_50p.ppm"); + input_rgb2 = mln::data::transform(input_rgb8, t_rgb8_to_rgb2()); + histo = mln::data::compute(t_histo3d_fun(), input_rgb2); + + // PRINTING PHASE + mln::debug::println(histo); +} diff --git a/milena/sandbox/green/demo/annoting/rgb_64_9/Makefile.am b/milena/sandbox/green/demo/annoting/rgb_64_9/Makefile.am new file mode 100644 index 0000000..96eafb4 --- /dev/null +++ b/milena/sandbox/green/demo/annoting/rgb_64_9/Makefile.am @@ -0,0 +1,150 @@ +# +# Generic Makefile +# + +######### +# TOOLS # +######### + +INCLUDES= -I$(HOME)/svn/oln/trunk/milena/sandbox/green +#CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +#CXXFLAGS= -DNDEBUG -O3 -Wall -W -pedantic -ansi -pipe $(INCLUDES) +ECHO= echo +RM= rm +MKDIR= mkdir -p +CP= cp + +SOURCE_PATTERN= green/demo +BUILD__PATTERN= green/build/demo + + +ifeq ($(findstring $(BUILD__PATTERN),$(PWD)), $(BUILD__PATTERN)) +# Case where make is done from build directory. +SOURCE_DIR= $(subst $(BUILD__PATTERN),$(SOURCE_PATTERN),$(PWD)) +BUILD__DIR= $(PWD)/ +else +# Case where make is done from source directory. +SOURCE_DIR= $(PWD)/ +BUILD__DIR= $(subst $(SOURCE_PATTERN),$(BUILD__PATTERN),$(PWD)) +endif + +SRC= $(notdir $(wildcard $(SOURCE_DIR)/*.cc)) +OLD= $(notdir $(wildcard $(SOURCE_DIR)/*~)) +OBJ= $(patsubst %.cc,%.o,$(SRC)) +SOURCE_MAKEFILE=Makefile.am +BUILD__MAKEFILE=Makefile +TARGET_FILE= $(notdir $(PWD)) +SOURCE_FILES= $(notdir $(wildcard $(SOURCE_DIR)/*.*)) +BUILD__FILES= $(filter-out $(SRC) $(SOURCE_MAKEFILE), $(SOURCE_FILES)) + +BUILD__F_PATH= $(addprefix $(BUILD__DIR)/,$(BUILD__FILES)) +SOURCE_F_PATH= $(addprefix $(SOURCE_DIR)/,$(SOURCE_FILES)) + +BUILD__M_PATH= $(addprefix $(BUILD__DIR)/,$(BUILD__MAKEFILE)) +SOURCE_M_PATH= $(addprefix $(SOURCE_DIR)/,$(SOURCE_MAKEFILE)) + +TARGET_F_PATH= $(addprefix $(BUILD__DIR)/,$(TARGET_FILE)) +OBJ_F_PATH= $(addprefix $(BUILD__DIR)/,$(OBJ)) +SRC_F_PATH= $(addprefix $(SOURCE_DIR)/,$(SRC)) +OLD_F_PATH= $(addprefix $(SOURCE_DIR)/,$(OLD)) + +############# +# BOOTSTRAP # +############# + + +bootstrap: $(BUILD__DIR) $(BUILD__F_PATH) $(BUILD__M_PATH) + +# Create, if nessary, the destination directory +$(BUILD__DIR): + $(MKDIR) $(BUILD__DIR) + +# Copy, if nessary, all the files, except the Makefile.am +$(BUILD__F_PATH): $(SOURCE_F_PATH) + $(CP) $(addprefix $(SOURCE_DIR),$(@F)) $@ + +# Copy if nessary, the Makefile.am into Makefile +$(BUILD__M_PATH): $(SOURCE_M_PATH) + $(CP) $(SOURCE_M_PATH) $(BUILD__M_PATH) + + +####### +# ALL # +####### + +# We assume that the call is done from the build directory. +# With the directive vpath, hidden files are found in the source directory. + +all: $(TARGET_F_PATH) + + +$(TARGET_F_PATH): $(OBJ_F_PATH) + $(LINK.cc) $< $(LOADLIBES) $(LDLIBS) -o $@ + +$(OBJ_F_PATH):$(SRC_F_PATH) + $(COMPILE.cc) $(OUTPUT_OPTION) $< + + +######### +# CLEAN # +######### + +# Force every time the deletion +clean: clean_target clean_obj clean_dst clean_old #clean_make + + +clean_target: + -@$(RM) $(TARGET_F_PATH) &> /dev/null + +clean_obj: + -@$(RM) $(OBJ_F_PATH) &> /dev/null + +clean_dst: + -@$(RM) $(BUILD_F_PATH) &> /dev/null + +clean_make: + -@$(RM) $(BUILD_M_PATH) &> /dev/null + +clean_old: + -@$(RM) $(OLD_F_PATH) &> /dev/null + + +######### +# PRINT # +######### + +print: print_tools print_bootstrap + +print_tools: + @$(ECHO) "HOME = $(HOME)" + @$(ECHO) "INCLUDES = $(INCLUDES)" + @$(ECHO) "CXXFLAGS = $(CXXFLAGS)" + @$(ECHO) "ECHO = $(ECHO)" + @$(ECHO) "RM = $(RM)" + @$(ECHO) "MKDIR = $(MKDIR)" + @$(ECHO) "CP = $(CP)" + @$(ECHO) + +print_bootstrap: + @$(ECHO) "PWD = $(PWD)" + @$(ECHO) "SOURCE_PATTERN = $(SOURCE_PATTERN)" + @$(ECHO) "BUILD__PATTERN = $(BUILD__PATTERN)" + @$(ECHO) "SOURCE_DIR = $(SOURCE_DIR)" + @$(ECHO) "BUILD__DIR = $(BUILD__DIR)" + @$(ECHO) "SOURCE_MAKEFILE = $(SOURCE_MAKEFILE)" + @$(ECHO) "BUILD__MAKEFILE = $(BUILD__MAKEFILE)" + @$(ECHO) "TARGET_FILE = $(TARGET_FILE)" + @$(ECHO) "SOURCE_FILES = $(SOURCE_FILES)" + @$(ECHO) "SOURCE_F_PATH = $(SOURCE_F_PATH)" + @$(ECHO) "BUILD__FILES = $(BUILD__FILES)" + @$(ECHO) "BUILD__F_PATH = $(BUILD__F_PATH)" + @$(ECHO) "BUILD__M_PATH = $(BUILD__M_PATH)" + @$(ECHO) "SOURCE_M_PATH = $(SOURCE_M_PATH)" + @$(ECHO) "SRC = $(SRC)" + @$(ECHO) "OBJ = $(OBJ)" + @$(ECHO) "OLD = $(OLD)" + @$(ECHO) "SRC_F_PATH = $(SRC_F_PATH)" + @$(ECHO) "OBJ_F_PATH = $(OBJ_F_PATH)" + @$(ECHO) "OLD_F_PATH = $(OLD_F_PATH)" + @$(ECHO) diff --git a/milena/sandbox/green/demo/annoting/rgb_64_9/rgb_64_9.cc b/milena/sandbox/green/demo/annoting/rgb_64_9/rgb_64_9.cc new file mode 100644 index 0000000..29e90f3 --- /dev/null +++ b/milena/sandbox/green/demo/annoting/rgb_64_9/rgb_64_9.cc @@ -0,0 +1,97 @@ +// Test de l'opérateur de Millet RGB-64 +// Composante RGB sur 2 bits, puis histogramme de 64 composantes +// L'image est la résultante + +#include <iostream> +#include <sstream> + +#include <mln/accu/stat/histo3d_rgb.hh> + +#include <mln/core/alias/box2d.hh> +#include <mln/core/alias/point2d.hh> +#include <mln/core/image/image2d.hh> +#include <mln/core/image/dmorph/image_if.hh> +#include <mln/core/routine/initialize.hh> + +#include <mln/data/compute.hh> +#include <mln/data/paste.hh> +#include <mln/data/transform.hh> + +#include <mln/debug/println.hh> + +#include <mln/fun/v2v/rgb8_to_rgbn.hh> + +#include <mln/img_path.hh> + +#include <mln/io/ppm/load.hh> +#include <mln/io/ppm/save.hh> + +#include <mln/value/rgb.hh> +#include <mln/value/rgb8.hh> + +const char *get_name(const char *base, const unsigned i, const unsigned j) +{ + std::ostringstream name; + + name << base; + name << i; + name << "_"; + name << j; + name << ".ppm"; + + return name.str().c_str(); +} + +int main() +{ + typedef mln::fun::v2v::rgb8_to_rgbn<2> t_rgb8_to_rgb2; + typedef mln::value::rgb8 t_rgb8; + typedef mln::value::rgb<2> t_rgb2; + typedef mln::image2d<t_rgb8> t_image2d_rgb8; + typedef mln::image2d<t_rgb2> t_image2d_rgb2; + typedef mln::image3d<unsigned> t_histo3d; + typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun; + + t_image2d_rgb8 input_rgb8; + t_image2d_rgb2 input_rgb2; + t_histo3d histo; + + // IMAGE LOADING PHASE + std::cout << "Image loading phase ..." << std::endl; + mln::io::ppm::load(input_rgb8, SCRIBO_PPM_IMG_PATH"/mp00082c_50p.ppm"); + + input_rgb2 = mln::data::transform(input_rgb8, t_rgb8_to_rgb2()); + + // IMAGE SPLITTING PHASE + mln::box2d domain = input_rgb2.domain(); + mln::point2d pmin = domain.pmin(); + mln::point2d pmax = domain.pmax(); + + unsigned sz_row = (pmax.row() - pmin.row())/ 3; + unsigned sz_col = (pmax.col() - pmin.col())/ 3; + + std::cout << domain << std::endl; + + // Divide the domain in nine sub-domains. + for (unsigned i = 0; i < 3; ++i) + for (unsigned j = 0; j < 3; ++j) + { + mln::point2d min(pmin.row()+sz_row*i,pmin.col()+sz_col*j); + mln::point2d max(pmin.row()+sz_row*(i+1),pmin.col()+sz_col*(j+1)); + mln::box2d dom(min,max); + + std::cout << dom << std::endl; + + // Save it + t_image2d_rgb2 input_1o9_rgb2(dom); + + mln::data::paste(input_rgb2 | dom, input_1o9_rgb2); + mln::io::ppm::save(input_1o9_rgb2, get_name("output",i,j)); + + histo = mln::data::compute(t_histo3d_fun(), input_1o9_rgb2); + + // PRINTING PHASE + mln::debug::println(histo); + } + +} -- 1.5.6.5

14 years, 10 months

last-svn-commit-2-g8c92a3b Extend the test image database.

by green

* green/mln/img_path.hh: Add annoting directories to experiment algorithms on fax, handwritten, typed, logo, bill, map, screenshot, slide image. --- milena/sandbox/ChangeLog | 8 ++++++++ milena/sandbox/green/mln/img_path.hh | 14 ++++++++++++++ 2 files changed, 22 insertions(+), 0 deletions(-) diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog index 9e7f25b..e93eeb8 100644 --- a/milena/sandbox/ChangeLog +++ b/milena/sandbox/ChangeLog @@ -1,3 +1,11 @@ +2009-12-02 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + + Extend the test image database. + + * green/mln/img_path.hh: Add annoting directories to experiment + algorithms on fax, handwritten, typed, logo, bill, map, screenshot, + slide image. + 2009-11-17 Thierry Geraud <thierry.geraud(a)lrde.epita.fr> Add some bench + canvas + subsampling + browsing code. diff --git a/milena/sandbox/green/mln/img_path.hh b/milena/sandbox/green/mln/img_path.hh index 90cdb49..188b813 100644 --- a/milena/sandbox/green/mln/img_path.hh +++ b/milena/sandbox/green/mln/img_path.hh @@ -33,10 +33,24 @@ #define INIM_IMG_PATH IMG_PATH"/inim" #define INIM_FG_BG_IMG_PATH INIM_IMG_PATH"/fg_bg" #define INIM_IN_IMG_PATH INIM_IMG_PATH"/in" + #define OLENA_IMG_PATH IMG_PATH"/olena" + #define SCRIBO_IMG_PATH IMG_PATH"/scribo" #define SCRIBO_JPG_IMG_PATH SCRIBO_IMG_PATH"/jpg_50p" #define SCRIBO_PGM_IMG_PATH SCRIBO_IMG_PATH"/pgm_50p" #define SCRIBO_PPM_IMG_PATH SCRIBO_IMG_PATH"/ppm_50p" +#define ANNOTING_IMG_PATH IMG_PATH"/annoting" +#define ANNOTING_BILL_IMG_PATH ANNOTING_IMG_PATH"/bill" +#define ANNOTING_FAX_IMG_PATH ANNOTING_IMG_PATH"/fax" +#define ANNOTING_HANDWRITTEN_IMG_PATH ANNOTING_IMG_PATH"/handwritten" +#define ANNOTING_LOGO_IMG_PATH ANNOTING_IMG_PATH"/logo" +#define ANNOTING_MAP_IMG_PATH ANNOTING_IMG_PATH"/map" +#define ANNOTING_SCREENSHOT_IMG_PATH ANNOTING_IMG_PATH"/screenshot" +#define ANNOTING_SLIDE_IMG_PATH ANNOTING_IMG_PATH"/slide" +#define ANNOTING_TYPED_IMG_PATH ANNOTING_IMG_PATH"/typed" + + + #endif // ! MLN_IMG_PATH_HH -- 1.5.6.5

14 years, 10 months

last-svn-commit-1-g4ee2f2a Fix the outside template use case for the convolve macros.

by green

* mln/linear/ch_convolve.hh (mln_ch_convolve_, mln_ch_convolve_grad_): Define new macros to work outside templates. --- milena/ChangeLog | 7 +++++++ milena/mln/linear/ch_convolve.hh | 9 ++++++++- 2 files changed, 15 insertions(+), 1 deletions(-) diff --git a/milena/ChangeLog b/milena/ChangeLog index b3cd42e..10c5def 100644 --- a/milena/ChangeLog +++ b/milena/ChangeLog @@ -1,3 +1,10 @@ +2009-12-02 Yann Jacquelet <jacquelet(a)lrde.epita.fr> + + Fix the outside template use case for the convolve macros. + + * mln/linear/ch_convolve.hh (mln_ch_convolve_, mln_ch_convolve_grad_): + Define new macros to work outside templates. + 2009-11-18 Guillaume Lazzara <z(a)lrde.epita.fr> * doc/white_paper/white_paper.tex: Fix an invalid URL. diff --git a/milena/mln/linear/ch_convolve.hh b/milena/mln/linear/ch_convolve.hh index ef9fb42..9ea45e5 100644 --- a/milena/mln/linear/ch_convolve.hh +++ b/milena/mln/linear/ch_convolve.hh @@ -1,4 +1,5 @@ -// Copyright (C) 2008, 2009 EPITA Research and Development Laboratory (LRDE) +// Copyright (C) 2008, 2009 EPITA Research and Development Laboratory +// (LRDE) // // This file is part of Olena. // @@ -44,9 +45,15 @@ # define mln_ch_convolve(I, W) \ typename mln::linear::ch_convolve<I, W>::ret +# define mln_ch_convolve_(I, W) \ + mln::linear::ch_convolve<I, W>::ret + + # define mln_ch_convolve_grad(I, W) \ typename mln::trait::ch_value< I, algebra::vec< I::site::dim, typename mln::linear::ch_convolve<I,W>::ret::value > >::ret +# define mln_ch_convolve_grad_(I, W) \ + mln::trait::ch_value< I, algebra::vec< I::site::dim, mln::linear::ch_convolve<I,W>::ret::value > >::ret namespace mln -- 1.5.6.5

14 years, 10 months

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Olena-patches February 2010