Commit ae10c229 authored by Davis King's avatar Davis King

Refined spec a little.

parent 7bb38812
......@@ -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.
!*/
......@@ -498,34 +502,6 @@ 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
......@@ -534,11 +510,11 @@ namespace dlib
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 pairs. 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).
......@@ -587,6 +563,32 @@ 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 <
......
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