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Olena
pylene
Commits
a5e32199
Commit
a5e32199
authored
Jun 15, 2021
by
Quentin Kaci
Browse files
Add benchmarks for alpha tree and watershed hierarchy construction
parent
2248eea0
Changes
2
Hide whitespace changes
Inline
Side-by-side
bench/BMAlphaTree.cpp
0 → 100644
View file @
a5e32199
#include
<mln/io/imread.hpp>
#include
<benchmark/benchmark.h>
#include
<mln/core/colors.hpp>
#include
<mln/core/image/ndimage.hpp>
#include
<mln/core/neighborhood/c4.hpp>
#include
<mln/morpho/alphatree.hpp>
using
image_t
=
mln
::
image2d
<
mln
::
rgb8
>
;
static
const
std
::
vector
<
std
::
string
>
bench_images
=
{
"plane.png"
,
"nature.png"
,
"mountains.png"
,
"hong_kong.png"
};
static
const
auto
alphatree_vect_function
=
[](
const
image_t
&
input
)
{
mln
::
morpho
::
alphatree
(
input
,
mln
::
c4
,
[](
const
auto
&
a
,
const
auto
&
b
)
->
std
::
double_t
{
return
mln
::
l2dist
(
a
,
b
);
});
};
static
const
auto
alphatree_hq_function
=
[](
const
image_t
&
input
)
{
mln
::
morpho
::
alphatree
(
input
,
mln
::
c4
,
[](
const
auto
&
a
,
const
auto
&
b
)
->
std
::
uint16_t
{
return
mln
::
l2dist
(
a
,
b
);
});
};
class
BMAlphaTree
:
public
benchmark
::
Fixture
{
public:
BMAlphaTree
()
{
if
(
inputs
.
empty
())
{
inputs
=
std
::
vector
<
image_t
>
(
bench_images
.
size
());
for
(
std
::
size_t
i
=
0
;
i
<
bench_images
.
size
();
++
i
)
mln
::
io
::
imread
(
bench_images
[
i
],
inputs
[
i
]);
}
}
void
run
(
benchmark
::
State
&
st
,
const
std
::
function
<
void
(
const
image_t
&
input
)
>&
callback
,
std
::
size_t
i
)
const
{
for
(
auto
_
:
st
)
callback
(
inputs
[
i
]);
}
std
::
vector
<
image_t
>
inputs
;
};
BENCHMARK_F
(
BMAlphaTree
,
AlphatreePlaneVect
)(
benchmark
::
State
&
st
)
{
this
->
run
(
st
,
alphatree_vect_function
,
0
);
}
BENCHMARK_F
(
BMAlphaTree
,
AlphatreePlaneHQ
)(
benchmark
::
State
&
st
)
{
this
->
run
(
st
,
alphatree_hq_function
,
0
);
}
BENCHMARK_F
(
BMAlphaTree
,
AlphatreeNatureVect
)(
benchmark
::
State
&
st
)
{
this
->
run
(
st
,
alphatree_vect_function
,
1
);
}
BENCHMARK_F
(
BMAlphaTree
,
AlphatreeNatureHQ
)(
benchmark
::
State
&
st
)
{
this
->
run
(
st
,
alphatree_hq_function
,
1
);
}
BENCHMARK_F
(
BMAlphaTree
,
AlphatreeMountainsVect
)(
benchmark
::
State
&
st
)
{
this
->
run
(
st
,
alphatree_vect_function
,
2
);
}
BENCHMARK_F
(
BMAlphaTree
,
AlphatreeMountainsHQ
)(
benchmark
::
State
&
st
)
{
this
->
run
(
st
,
alphatree_hq_function
,
2
);
}
BENCHMARK_F
(
BMAlphaTree
,
AlphatreeHongKongVect
)(
benchmark
::
State
&
st
)
{
this
->
run
(
st
,
alphatree_vect_function
,
3
);
}
BENCHMARK_F
(
BMAlphaTree
,
AlphatreeHongKongHQ
)(
benchmark
::
State
&
st
)
{
this
->
run
(
st
,
alphatree_hq_function
,
3
);
}
BENCHMARK_MAIN
();
\ No newline at end of file
bench/BMWatershedHierarchy.cpp
0 → 100644
View file @
a5e32199
#include
<mln/core/image/view/cast.hpp>
#include
<mln/io/imread.hpp>
#include
<mln/io/imsave.hpp>
#include
<benchmark/benchmark.h>
#include
<mln/accu/accumulators/count.hpp>
#include
<mln/accu/accumulators/mean.hpp>
#include
<mln/core/colors.hpp>
#include
<mln/core/image/ndimage.hpp>
#include
<mln/core/neighborhood/c4.hpp>
#include
<mln/morpho/watershed_hierarchy.hpp>
using
image_t
=
mln
::
image2d
<
mln
::
rgb8
>
;
static
const
std
::
vector
<
std
::
string
>
bench_images
=
{
"plane.png"
,
"nature.png"
,
"mountains.png"
,
"hong_kong.png"
};
static
const
auto
watershed_hierarchy_by_area_function
=
[](
const
image_t
&
input
)
{
mln
::
morpho
::
watershed_hierarchy
(
input
,
mln
::
accu
::
features
::
count
<>
(),
mln
::
c4
,
[](
const
auto
&
a
,
const
auto
&
b
)
->
std
::
float_t
{
return
mln
::
l2dist
(
a
,
b
);
});
};
static
const
auto
hierarchical_segmentation_function
=
[](
const
image_t
&
input
)
{
auto
[
tree
,
node_map
]
=
mln
::
morpho
::
watershed_hierarchy
(
input
,
mln
::
accu
::
features
::
count
<>
(),
mln
::
c4
,
[](
const
auto
&
a
,
const
auto
&
b
)
->
std
::
float_t
{
return
mln
::
l2dist
(
a
,
b
);
});
auto
mean
=
tree
.
compute_attribute_on_values
(
node_map
,
input
,
mln
::
accu
::
accumulators
::
mean
<
mln
::
rgb8
>
());
// Threshold cut at 10
auto
node_map_cut
=
tree
.
horizontal_cut
(
10
,
node_map
);
tree
.
reconstruct_from
(
node_map_cut
,
ranges
::
make_span
(
mean
));
};
class
BMWatershedHierarchy
:
public
benchmark
::
Fixture
{
public:
BMWatershedHierarchy
()
{
if
(
inputs
.
empty
())
{
inputs
=
std
::
vector
<
image_t
>
(
bench_images
.
size
());
for
(
std
::
size_t
i
=
0
;
i
<
bench_images
.
size
();
++
i
)
mln
::
io
::
imread
(
bench_images
[
i
],
inputs
[
i
]);
}
}
void
run
(
benchmark
::
State
&
st
,
const
std
::
function
<
void
(
const
image_t
&
input
)
>&
callback
,
std
::
size_t
i
)
const
{
for
(
auto
_
:
st
)
callback
(
inputs
[
i
]);
}
std
::
vector
<
image_t
>
inputs
;
};
BENCHMARK_F
(
BMWatershedHierarchy
,
WatershedHierarchyAreaPlane
)(
benchmark
::
State
&
st
)
{
this
->
run
(
st
,
watershed_hierarchy_by_area_function
,
0
);
}
BENCHMARK_F
(
BMWatershedHierarchy
,
HierarchicalSegmentationPlane
)(
benchmark
::
State
&
st
)
{
this
->
run
(
st
,
hierarchical_segmentation_function
,
0
);
}
BENCHMARK_F
(
BMWatershedHierarchy
,
WatershedHierarchyAreaNature
)(
benchmark
::
State
&
st
)
{
this
->
run
(
st
,
watershed_hierarchy_by_area_function
,
1
);
}
BENCHMARK_F
(
BMWatershedHierarchy
,
HierarchicalSegmentationNature
)(
benchmark
::
State
&
st
)
{
this
->
run
(
st
,
hierarchical_segmentation_function
,
1
);
}
BENCHMARK_F
(
BMWatershedHierarchy
,
WatershedHierarchyAreaMountains
)(
benchmark
::
State
&
st
)
{
this
->
run
(
st
,
watershed_hierarchy_by_area_function
,
2
);
}
BENCHMARK_F
(
BMWatershedHierarchy
,
HierarchicalSegmentationMountains
)(
benchmark
::
State
&
st
)
{
this
->
run
(
st
,
hierarchical_segmentation_function
,
2
);
}
BENCHMARK_F
(
BMWatershedHierarchy
,
WatershedHierarchyAreaHongKong
)(
benchmark
::
State
&
st
)
{
this
->
run
(
st
,
watershed_hierarchy_by_area_function
,
3
);
}
BENCHMARK_F
(
BMWatershedHierarchy
,
HierarchicalSegmentationHongKong
)(
benchmark
::
State
&
st
)
{
this
->
run
(
st
,
hierarchical_segmentation_function
,
3
);
}
BENCHMARK_MAIN
();
\ No newline at end of file
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