Port Maxtree and ToS Algorithm

CMakeLists.txt

@@ -14,7 +14,6 @@ find_package(Boost 1.58 COMPONENTS program_options REQUIRED)
 find_package(FreeImage REQUIRED)
 find_package(TBB)
 find_package(Qt4)
-find_package(range-v3 REQUIRED)
 
 
 # CONFIGURE COMPILER LAUNCHERS

bench/BMAlgorithms.cpp

@@ -357,16 +357,17 @@ int accumulate_accu(const mln::experimental::image2d<uint8_t>& ima)
   return mln::accumulate(ima, mln::accu::features::sum<int>());
 }
 
+using point_t = mln::image_point_t<mln::experimental::image2d<uint8_t>>;
 
-std::vector<mln::experimental::point2d> sort_points(const mln::experimental::image2d<uint8_t>& ima)
+std::vector<point_t> sort_points(const mln::experimental::image2d<uint8_t>& ima)
 {
   return mln::experimental::sort_points(ima);
 }
-std::vector<mln::experimental::point2d> sort_points(const mln::experimental::image2d<int>& ima)
+std::vector<point_t> sort_points(const mln::experimental::image2d<int>& ima)
 {
   return mln::experimental::sort_points(ima);
 }
-std::vector<mln::experimental::point2d> sort_points(const mln::experimental::image2d<mln::rgb8>& ima)
+std::vector<point_t> sort_points(const mln::experimental::image2d<mln::rgb8>& ima)
 {
   return mln::experimental::sort_points(ima, mln::lexicographicalorder_less<mln::rgb8>());
 }

bench/BMAlgorithms_main.cpp

@@ -54,9 +54,11 @@ int accumulate_baseline(const mln::experimental::image2d<uint8_t>& ima);
 int accumulate_accu(const mln::experimental::image2d<uint8_t>& ima);
 int accumulate(const mln::experimental::image2d<uint8_t>& ima);
 
-std::vector<mln::experimental::point2d> sort_points(const mln::experimental::image2d<uint8_t>& ima);
-std::vector<mln::experimental::point2d> sort_points(const mln::experimental::image2d<int>& ima);
-std::vector<mln::experimental::point2d> sort_points(const mln::experimental::image2d<mln::rgb8>& ima);
+using point_t = mln::image_point_t<mln::experimental::image2d<uint8_t>>;
+
+std::vector<point_t> sort_points(const mln::experimental::image2d<uint8_t>& ima);
+std::vector<point_t> sort_points(const mln::experimental::image2d<int>& ima);
+std::vector<point_t> sort_points(const mln::experimental::image2d<mln::rgb8>& ima);
 
 class BMAlgorithms : public benchmark::Fixture
 {

bench/BMMorphoMaxtree.cpp

+#include <mln/core/algorithm/transform.hpp>
+#include <mln/core/colors.hpp>
+#include <mln/core/image/experimental/ndimage.hpp>
+
+#include <mln/core/neighborhood/c4.hpp>
+#include <mln/core/neighb2d.hpp>
+
+#include <mln/io/experimental/imread.hpp>
+
+#include <mln/morpho/experimental/maxtree.hpp>
+#include <mln/morpho/maxtree/maxtree.hpp>
+
+
+#include <benchmark/benchmark.h>
+
+#include <fixtures/ImagePath/image_path.hpp>
+
+class BMMorpho : public benchmark::Fixture
+{
+public:
+  using image_t = mln::experimental::image2d<uint8_t>;
+  using image_ref_t = mln::image2d<uint8_t>;
+
+  BMMorpho()
+  {
+    if (!g_loaded)
+    {
+      const char* filename = "Aerial_view_of_Olbia.jpg";
+      mln::experimental::image2d<mln::rgb8> input;
+      mln::io::experimental::imread(filename, input);
+
+      g_input = mln::transform(input, [](mln::rgb8 x) -> uint8_t { return x[0]; });
+      g_loaded = true;
+    }
+    m_input = g_input;
+    int nr = m_input.width();
+    int nc = m_input.height();
+    mln::resize(m_output, m_input);
+    m_size = nr * nc;
+
+    m_input.to(m_input_, false);
+    m_output.to(m_output_, false);
+
+  }
+
+
+  void run(benchmark::State& st, std::function<void(const image_t& input)> callback)
+  {
+    for (auto _ : st)
+      callback(m_input);
+    st.SetBytesProcessed(int64_t(st.iterations()) * int64_t(m_size));
+  }
+
+  void run2(benchmark::State& st, std::function<void(const image_ref_t& input)> callback)
+  {
+    for (auto _ : st)
+      callback(m_input_);
+    st.SetBytesProcessed(int64_t(st.iterations()) * int64_t(m_size));
+  }
+
+
+protected:
+  static bool                                g_loaded;
+  static mln::experimental::image2d<uint8_t> g_input;
+  mln::experimental::image2d<uint8_t>        m_input;
+  mln::experimental::image2d<uint8_t>        m_output;
+  std::size_t                                m_size;
+
+  mln::image2d<uint8_t>               m_input_;
+  mln::image2d<uint8_t>               m_output_;
+};
+
+bool                                BMMorpho::g_loaded = false;
+mln::experimental::image2d<uint8_t> BMMorpho::g_input;
+
+
+
+BENCHMARK_F(BMMorpho, MaxtreeNew)(benchmark::State& st)
+{
+  auto f = [](const image_t& input) { mln::morpho::experimental::maxtree(input, mln::experimental::c4); };
+  this->run(st, f);
+}
+
+BENCHMARK_F(BMMorpho, MaxtreeRef)(benchmark::State& st)
+{
+  auto f = [](const image_ref_t& input) { mln::morpho::maxtree_indexes(input, mln::c4); };
+  this->run2(st, f);
+}
+
+BENCHMARK_MAIN();

bench/BMMorphoTos.cpp

+#include <mln/core/algorithm/transform.hpp>
+#include <mln/core/colors.hpp>
+#include <mln/core/image/experimental/ndimage.hpp>
+
+#include <mln/core/neighborhood/c4.hpp>
+#include <mln/core/neighb2d.hpp>
+
+#include <mln/io/experimental/imread.hpp>
+
+#include <mln/morpho/experimental/tos.hpp>
+#include <mln/morpho/tos/tos.hpp>
+
+
+#include <benchmark/benchmark.h>
+
+#include <fixtures/ImagePath/image_path.hpp>
+
+class BMMorpho : public benchmark::Fixture
+{
+public:
+  using image_t = mln::experimental::image2d<uint8_t>;
+  using image_ref_t = mln::image2d<uint8_t>;
+
+  BMMorpho()
+  {
+    if (!g_loaded)
+    {
+      const char* filename = "Aerial_view_of_Olbia.jpg";
+      mln::experimental::image2d<mln::rgb8> input;
+      mln::io::experimental::imread(filename, input);
+
+      g_input = mln::transform(input, [](mln::rgb8 x) -> uint8_t { return x[0]; });
+      g_loaded = true;
+    }
+    m_input = g_input;
+    int nr = m_input.width();
+    int nc = m_input.height();
+    mln::resize(m_output, m_input);
+    m_size = nr * nc;
+
+    m_input.to(m_input_, false);
+    m_output.to(m_output_, false);
+
+  }
+
+
+  void run(benchmark::State& st, std::function<void(const image_t& input)> callback)
+  {
+    for (auto _ : st)
+      callback(m_input);
+    st.SetBytesProcessed(int64_t(st.iterations()) * int64_t(m_size));
+  }
+
+  void run2(benchmark::State& st, std::function<void(const image_ref_t& input)> callback)
+  {
+    for (auto _ : st)
+      callback(m_input_);
+    st.SetBytesProcessed(int64_t(st.iterations()) * int64_t(m_size));
+  }
+
+
+protected:
+  static bool                                g_loaded;
+  static mln::experimental::image2d<uint8_t> g_input;
+  mln::experimental::image2d<uint8_t>        m_input;
+  mln::experimental::image2d<uint8_t>        m_output;
+  std::size_t                                m_size;
+
+  mln::image2d<uint8_t>               m_input_;
+  mln::image2d<uint8_t>               m_output_;
+};
+
+bool                                BMMorpho::g_loaded = false;
+mln::experimental::image2d<uint8_t> BMMorpho::g_input;
+
+
+
+BENCHMARK_F(BMMorpho, ToSNew)(benchmark::State& st)
+{
+  auto f = [](const image_t& input) { mln::morpho::experimental::tos(input, input.domain().tl()); };
+  this->run(st, f);
+}
+
+BENCHMARK_F(BMMorpho, ToSRef)(benchmark::State& st)
+{
+  auto f = [](const image_ref_t& input) { mln::morpho::tos(input); };
+  this->run2(st, f);
+}
+
+BENCHMARK_MAIN();

bench/CMakeLists.txt

@@ -66,6 +66,8 @@ set_source_files_properties(${src_standalone} PROPERTIES COMPILE_FLAGS ${STANDAL
 add_benchmark(BMAlgorithms              BMAlgorithms.cpp BMAlgorithms_main.cpp)
 add_benchmark(BMNeighborhood            BMNeighborhood.cpp BMNeighborhood_main.cpp)
 add_benchmark(BMRotation                BMRotation.cpp)
+add_benchmark(BMMorphoMaxtree           BMMorphoMaxtree.cpp)
+add_benchmark(BMMorphoTos               BMMorphoTos.cpp)
 add_benchmark(BMMorphoBase              BMMorphoBase.cpp)
 add_benchmark(BMMorphoBaseRef           BMMorphoBaseRef.cpp)
 add_benchmark(BMMorphers                BMMorphers.cpp BMMorphers_main.cpp)

conanfile.py

@@ -15,7 +15,7 @@ class Pylene(ConanFile):
     default_options = ("gtest=False", "benchmark=False", "freeimage=False", "boost=False",
                        # TO REMOVE once docker image is fixed with the buildfarm profile updated
                        "boost_program_options=False")
-    generators = "cmake_paths"
+    generators = [ "cmake_paths", "cmake_find_package" ]
     exports_sources = ["pylene/*", "cmake/*", "CMakeLists.txt", "LICENSE"]
 
     def get_cmake_config(self):
@@ -41,7 +41,7 @@ class Pylene(ConanFile):
     def requirements(self):
         self.requires("range-v3/0.5.0@lrde/patched")
         self.requires("cmcstl2/head@lrde/testing")
-        self.requires("fmt/5.3.0@bincrafters/stable")
+        self.requires("fmt/[>=6.0 <6.1]")
 
         if self.options.freeimage:
             self.requires("freeimage/3.18.0@dutiona/stable")

doc/source/core/algorithm/sort.rst

@@ -6,26 +6,24 @@ Include :file:`<mln/core/algorithm/sort.hpp>`
 .. cpp:namespace:: mln
 
 #. .. cpp:function:: void sort_points(InputImage ima, OutputRange&& rng)
-#. .. cpp:function:: void sort_points(InputImage ima, OutputRange&& rng, Compare cmp)
+                     void sort_points(InputImage ima, OutputRange&& rng, Compare cmp)
 #. .. cpp:function:: std::vector<image_point_t<InputImage>> sort_points(InputImage ima, OutputRange&& rng)
-#. .. cpp:function:: std::vector<image_point_t<InputImage>> sort_points(InputImage ima, OutputRange&& rng, Compare cmp)
+                     std::vector<image_point_t<InputImage>> sort_points(InputImage ima, OutputRange&& rng, Compare cmp)
 #. .. cpp:function:: void sort_indexes(InputImage ima, OutputRange&& rng)
-#. .. cpp:function:: void sort_indexes(InputImage ima, OutputRange&& rng, Compare cmp)
-#. .. cpp:function:: std::vector<image_point_t<InputImage>> \  
-                     sort_indexes(InputImage ima, OutputRange&& rng)
-#. .. cpp:function:: std::vector<image_point_t<InputImage>> \  
-                    sort_indexes(InputImage ima, OutputRange&& rng, Compare cmp)
+                     void sort_indexes(InputImage ima, OutputRange&& rng, Compare cmp)
+#. .. cpp:function:: std::vector<image_point_t<InputImage>> sort_indexes(InputImage ima, OutputRange&& rng)
+                     std::vector<image_point_t<InputImage>> sort_indexes(InputImage ima, OutputRange&& rng, Compare cmp)
 
 
-    Sort the points (versions 1-4) or the indexes (versions 5-8) of an image w.r.t their values.
+    Sort the points (versions 1-2) or the indexes (versions 3-4) of an image w.r.t their values.
 
     :param ima: The source image
-    :param rng: (versions 1,2,5,6) The destination range where points or indexes are going to be stored.
-    :param cmp: (versions 2,4,6,8) The comparison function between values
+    :param rng: (versions 1,3) The destination range where points or indexes are going to be stored.
+    :param cmp: (optional) The comparison function between values
     :tparam InputImage: A model of :cpp:concept:`InputImage`
     :tparam OutputRange: A model of :cpp:concept:`OutputRange`
     :tparam Compare: A model of :cpp:concept:`Compare`  
-    :return: (versions 3,4,7,8) A `std::vector` with the points or the indexes sorted. 
+    :return: (versions 2-4) A `std::vector` with the points or the indexes sorted. 
 
     
 

doc/source/figures/core/uml.tikz

+
+
+\tikzset{
+   class/.style={draw, fill=LightYellow},
+   template/.style={label={[mTemplateNodeStyle]north east:#1}},
+   realization/.style={-Latex[open]},
+%%
+   mTemplateNodeStyle/.style={fill=white,draw,dashed,font={\tt\small}, inner sep=2pt, anchor=center}
+}
\ No newline at end of file

doc/source/figures/morpho/simpleimage-maxtree.svg

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doc/source/figures/morpho/simpleimage-maxtree.tex

+\documentclass[tikz, border=0 3pt 0 3pt]{standalone}
+
+\begin{document}
+   \begin{tikzpicture}[scale=0.9]
+      \tikzset{every node/.style={draw=black, rectangle}}
+      \path[use as bounding box] (-1.75,0.2) rectangle (1.75,-3.2);
+      % \foreach \x in {0,1,...,3} {
+      %   \draw[gray, dashed] (-1.75,-\x) -- (1.75,-\x);
+      % }
+
+      \node[white, draw=black, fill=black!80] {B}
+      [level distance=1cm, sibling distance=.75cm]
+      child { node[white, draw=black, fill=black!40] {A, F} [sibling distance=.75cm]
+        child[level distance=2cm] { node[fill=white] {O} }
+        child { node[fill=black!10] {C} }
+      }
+      child[missing]
+      child[level distance=2cm] { node[fill=black!10] {D} }
+      child[level distance=2cm] { node[fill=black!10] {E} }
+      ;
+    \end{tikzpicture}
+\end{document}
\ No newline at end of file

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doc/source/figures/morpho/simpleimage-mintree.tex

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+
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+      \tikzset{every node/.style={draw=black, rectangle}}
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+      %   \draw[gray, dashed] (-1.5,-\x) -- (1.5,-\x);
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+
+      \node[fill=white] {O} [level distance=1cm]
+      child { node[fill=black!10] {C, D, E}
+        child { node[white,draw=black,fill=black!40] (A) {A}
+          child { node[white,draw=black,fill=black!80] {B} }
+        }
+        child { node[white,draw=black,fill=black!40] {F} }
+      }
+      ;
+    \end{tikzpicture}
+\end{document}
\ No newline at end of file

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doc/source/figures/morpho/simpleimage-nodemap.tex

+\documentclass[tikz]{standalone}
+
+\begin{document}
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+  shapeF/.prefix style={shp,fill=black!40},