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OpenDAS
dlib
Commits
ae10c229
Commit
ae10c229
authored
Jun 26, 2012
by
Davis King
Browse files
Refined spec a little.
parent
7bb38812
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-33
dlib/graph_cuts/find_max_factor_graph_potts_abstract.h
dlib/graph_cuts/find_max_factor_graph_potts_abstract.h
+35
-33
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dlib/graph_cuts/find_max_factor_graph_potts_abstract.h
View file @
ae10c229
...
...
@@ -442,6 +442,10 @@ namespace dlib
- #labels.nc() == prob.nc()
!*/
// ----------------------------------------------------------------------------------------
// ----------------------------------------------------------------------------------------
// The following functions and interface definitions are convenience routines for use
// with the potts grid problem version of find_max_factor_graph_potts() defined above.
// ----------------------------------------------------------------------------------------
// ----------------------------------------------------------------------------------------
...
...
@@ -451,11 +455,11 @@ namespace dlib
WHAT THIS OBJECT REPRESENTS
This object defines a slightly more convenient interface for creating
potts_grid_problems which operate on an image. In this case, the goal
is to assign a label to each
coordinate of
an image. In particular,
is to assign a
binary
label to each
pixel in
an image. In particular,
this object defines the interface used by the make_potts_grid_problem()
routine defined below.
In the comments
below
, we will refer to the image supplied to
In the
following
comments, we will refer to the image supplied to
make_potts_grid_problem() as IMG.
!*/
...
...
@@ -500,45 +504,17 @@ namespace dlib
// ----------------------------------------------------------------------------------------
template
<
typename
single_image_model
,
typename
pixel_type
,
typename
mem_manager
>
potts_grid_problem
make_potts_grid_problem
(
const
single_image_model
&
model
,
const
array2d
<
pixel_type
,
mem_manager
>&
img
);
/*!
requires
- single_image_model == an object with an interface compatible with the
single_image_model object defined above.
- for all valid i and j:
- model.factor_value_disagreement(i,j) >= 0
- model.factor_value_disagreement(i,j) == model.factor_value_disagreement(j,i)
ensures
- returns a potts_grid_problem which can be solved using the
find_max_factor_graph_potts(prob,array2d) routine defined above. That is,
given an image to store the labels, the following statement would solve the
potts problem defined by the given model and image:
find_max_factor_graph_potts(make_potts_grid_problem(model,img),labels);
!*/
// ----------------------------------------------------------------------------------------
// ----------------------------------------------------------------------------------------
struct
pair_image_model
{
/*!
WHAT THIS OBJECT REPRESENTS
This object defines a slightly more convenient interface for creating
potts_grid_problems which operate on a pair of identically sized images.
In this case, the goal is to assign a label to each
coordinate in one
of the
image
pair
s
. In particular, this object defines the interface
In this case, the goal is to assign a label to each
pixel in the first
image
of the pair. In particular, this object defines the interface
used by the make_potts_grid_problem() routine defined below.
In the comments
below
, we will refer to the two images supplied to
In the
following
comments, we will refer to the two images supplied to
make_potts_grid_problem() as IMG1 and IMG2. The goal of the potts
problem will be to assign labels to each pixel in IMG1 (IMG2 is
not labeled, it is simply used as a place to keep auxiliary data).
...
...
@@ -589,6 +565,32 @@ namespace dlib
// ----------------------------------------------------------------------------------------
template
<
typename
single_image_model
,
typename
pixel_type
,
typename
mem_manager
>
potts_grid_problem
make_potts_grid_problem
(
const
single_image_model
&
model
,
const
array2d
<
pixel_type
,
mem_manager
>&
img
);
/*!
requires
- single_image_model == an object with an interface compatible with the
single_image_model object defined above.
- for all valid i and j:
- model.factor_value_disagreement(i,j) >= 0
- model.factor_value_disagreement(i,j) == model.factor_value_disagreement(j,i)
ensures
- returns a potts_grid_problem which can be solved using the
find_max_factor_graph_potts(prob,array2d) routine defined above. That is,
given an image to store the labels, the following statement would solve the
potts problem defined by the given model and image:
find_max_factor_graph_potts(make_potts_grid_problem(model,img),labels);
!*/
// ----------------------------------------------------------------------------------------
template
<
typename
pair_image_model
,
typename
pixel_type
,
...
...
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