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deepmatching_matlab.cpp
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Created
Wed, Sep 4, 02:45
Size
5 KB
Mime Type
text/x-c
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Fri, Sep 6, 02:45 (2 d)
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blob
Format
Raw Data
Handle
20509086
Attached To
R6289 Motion correction paper
deepmatching_matlab.cpp
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/*
Copyright (C) 2014 Jerome Revaud
This program 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, either version 3 of the License, or
(at your option) any later version.
This program 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 this program. If not, see <http://www.gnu.org/licenses/>
*/
#include <mex.h>
#include <assert.h>
#include <math.h>
#include <string.h>
#include <stdint.h>
#include <stdio.h>
#include <stdarg.h>
#include <stdlib.h>
#include <iostream>
void
std_printf
(
const
char
*
format
,
...
)
{
va_list
arglist
;
va_start
(
arglist
,
format
);
char
buffer
[
1024
];
vsprintf
(
buffer
,
format
,
arglist
);
va_end
(
arglist
);
mexPrintf
(
buffer
);
}
void
err_printf
(
const
char
*
format
,
...
)
{
va_list
arglist
;
va_start
(
arglist
,
format
);
char
buffer
[
1024
];
vsprintf
(
buffer
,
format
,
arglist
);
va_end
(
arglist
);
mexErrMsgTxt
(
buffer
);
}
#include "image.h"
#include "deep_matching.h"
#include "io.h"
#include "main.h"
static
inline
bool
ispowerof2
(
long
n
)
{
return
(
n
&
(
n
-
1
))
==
0
;
}
color_image_t
*
input3darray_to_color_image
(
const
mxArray
*
p
){
const
int
*
dims
=
mxGetDimensions
(
p
);
const
int
h
=
dims
[
0
],
w
=
dims
[
1
];
assert
(
dims
[
2
]
==
3
);
float
*
in
=
(
float
*
)
mxGetData
(
p
);
color_image_t
*
out
=
color_image_new
(
w
,
h
);
for
(
int
c
=
0
;
c
<
3
;
c
++
){
float
*
inptr
=
in
+
c
*
w
*
h
;
float
*
outptr
=
out
->
c1
+
c
*
w
*
h
;
for
(
int
j
=
0
;
j
<
h
;
j
++
){
for
(
int
i
=
0
;
i
<
w
;
i
++
){
outptr
[
j
*
w
+
i
]
=
inptr
[
i
*
h
+
j
];
}
}
}
return
out
;
}
void
corres_to_output
(
float_image
*
corres
,
mxArray
*
p
){
const
int
h
=
corres
->
ty
,
w
=
corres
->
tx
;
float
*
data
=
(
float
*
)
mxGetData
(
p
);
for
(
int
j
=
0
;
j
<
h
;
j
++
)
{
for
(
int
i
=
0
;
i
<
w
;
i
++
)
{
data
[
i
*
h
+
j
]
=
corres
->
pixels
[
j
*
w
+
i
];
}
}
}
void
mexFunction
(
int
nl
,
mxArray
*
pl
[],
int
nr
,
const
mxArray
*
pr
[]
)
{
if
(
nr
==
0
)
{
usage
(
MATLAB_OPTIONS
);
return
;
}
if
(
nl
!=
1
){
usage
(
MATLAB_OPTIONS
);
mexErrMsgTxt
(
"error: returns one output"
);
}
if
(
nr
<
2
||
nr
>
3
){
usage
(
MATLAB_OPTIONS
);
mexErrMsgTxt
(
"error: takes two to four inputs"
);
}
// The code is originally written for C-order arrays.
// We thus transpose all arrays in this mex-function which is not efficient...
const
int
*
pDims
;
if
(
mxGetNumberOfDimensions
(
pr
[
0
])
!=
3
)
mexErrMsgTxt
(
"input images must have 3 dimensions"
);
if
(
!
mxIsClass
(
pr
[
0
],
"single"
))
mexErrMsgTxt
(
"input images must be single"
);
pDims
=
mxGetDimensions
(
pr
[
0
]);
if
(
pDims
[
2
]
!=
3
)
mexErrMsgTxt
(
"input images must have 3 channels"
);
const
int
h
=
pDims
[
0
],
w
=
pDims
[
1
];
color_image_t
*
cim1
=
input3darray_to_color_image
(
pr
[
0
]
);
if
(
mxGetNumberOfDimensions
(
pr
[
1
])
!=
3
)
mexErrMsgTxt
(
"input images must have 3 dimensions"
);
if
(
!
mxIsClass
(
pr
[
1
],
"single"
))
mexErrMsgTxt
(
"input images must be single"
);
pDims
=
mxGetDimensions
(
pr
[
1
]);
if
(
pDims
[
2
]
!=
3
)
mexErrMsgTxt
(
"input images must have 3 channels"
);
color_image_t
*
cim2
=
input3darray_to_color_image
(
pr
[
1
]
);
// convert images to gray
image_t
*
im1
=
image_gray_from_color
(
cim1
),
*
im2
=
image_gray_from_color
(
cim2
);;
color_image_delete
(
cim1
);
color_image_delete
(
cim2
);
// set params to default
dm_params_t
params
;
set_default_dm_params
(
&
params
);
scalerot_params_t
sr_params
;
set_default_scalerot_params
(
&
sr_params
);
bool
use_scalerot
=
false
;
float
fx
=
1
,
fy
=
1
;
// read options
if
(
nr
==
3
){
char
*
options
=
mxArrayToString
(
pr
[
2
]);
if
(
!
options
)
mexErrMsgTxt
(
"Third parameter must be a string"
);
int
argc
=
0
;
const
char
*
argv
[
256
];
argv
[
argc
]
=
strtok
(
options
,
" "
);
while
(
argv
[
argc
]
!=
NULL
)
argv
[
++
argc
]
=
strtok
(
NULL
,
" "
);
parse_options
(
&
params
,
&
sr_params
,
&
use_scalerot
,
&
fx
,
&
fy
,
argc
,
argv
,
MATLAB_OPTIONS
,
&
im1
,
&
im2
);
}
if
(
use_scalerot
)
assert
(
params
.
ngh_rad
==
0
||
!
"max trans cannot be used in full scale and rotation mode"
);
else
if
(
params
.
subsample_ref
&&
(
!
ispowerof2
(
im1
->
width
)
||
!
ispowerof2
(
im1
->
height
))
)
{
std_printf
(
"WARNING: first image has dimension which are not power-of-2
\n
"
);
std_printf
(
"For improved results, you should consider resizing the images with '-resize <w> <h>'
\n
"
);
}
// compute deep matching
// float_image* corres = use_scalerot ?
// deep_matching_scale_rot( im1, im2, ¶ms, &sr_params ) :
// deep_matching ( im1, im2, ¶ms, NULL ); // standard call
cout
<<
"###########################################################"
<<
endl
;
float_image
*
corres
=
deep_matching
(
im1
,
im2
,
&
params
,
NULL
);
// standard call
// output
pl
[
0
]
=
mxCreateNumericMatrix
(
corres
->
ty
,
corres
->
tx
,
mxSINGLE_CLASS
,
mxREAL
);
corres_to_output
(
corres
,
pl
[
0
]);
image_delete
(
im1
);
image_delete
(
im2
);
free_image
(
corres
);
return
;
}
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