Page Menu
Home
c4science
Search
Configure Global Search
Log In
Files
F81134166
deepmatching_matlab.cpp
No One
Temporary
Actions
Download File
Edit File
Delete File
View Transforms
Subscribe
Mute Notifications
Award Token
Subscribers
None
File Metadata
Details
File Info
Storage
Attached
Created
Wed, Sep 4, 09:04
Size
5 KB
Mime Type
text/x-c
Expires
Fri, Sep 6, 09:04 (2 d)
Engine
blob
Format
Raw Data
Handle
20509086
Attached To
R6289 Motion correction paper
deepmatching_matlab.cpp
View Options
/*
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(¶ms);
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(¶ms, &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, ¶ms, 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;
}
Event Timeline
Log In to Comment