mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
361 lines
12 KiB
361 lines
12 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
|
// |
|
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
|
// |
|
// By downloading, copying, installing or using the software you agree to this license. |
|
// If you do not agree to this license, do not download, install, |
|
// copy or use the software. |
|
// |
|
// |
|
// Intel License Agreement |
|
// |
|
// Copyright (C) 2000, Intel Corporation, all rights reserved. |
|
// Third party copyrights are property of their respective owners. |
|
// |
|
// Redistribution and use in source and binary forms, with or without modification, |
|
// are permitted provided that the following conditions are met: |
|
// |
|
// * Redistribution's of source code must retain the above copyright notice, |
|
// this list of conditions and the following disclaimer. |
|
// |
|
// * Redistribution's in binary form must reproduce the above copyright notice, |
|
// this list of conditions and the following disclaimer in the documentation |
|
// and/or other materials provided with the distribution. |
|
// |
|
// * The name of Intel Corporation may not be used to endorse or promote products |
|
// derived from this software without specific prior written permission. |
|
// |
|
// This software is provided by the copyright holders and contributors "as is" and |
|
// any express or implied warranties, including, but not limited to, the implied |
|
// warranties of merchantability and fitness for a particular purpose are disclaimed. |
|
// In no event shall the Intel Corporation or contributors be liable for any direct, |
|
// indirect, incidental, special, exemplary, or consequential damages |
|
// (including, but not limited to, procurement of substitute goods or services; |
|
// loss of use, data, or profits; or business interruption) however caused |
|
// and on any theory of liability, whether in contract, strict liability, |
|
// or tort (including negligence or otherwise) arising in any way out of |
|
// the use of this software, even if advised of the possibility of such damage. |
|
// |
|
//M*/ |
|
|
|
#include "precomp.hpp" |
|
|
|
CvBGCodeBookModel* cvCreateBGCodeBookModel() |
|
{ |
|
CvBGCodeBookModel* model = (CvBGCodeBookModel*)cvAlloc( sizeof(*model) ); |
|
memset( model, 0, sizeof(*model) ); |
|
model->cbBounds[0] = model->cbBounds[1] = model->cbBounds[2] = 10; |
|
model->modMin[0] = 3; |
|
model->modMax[0] = 10; |
|
model->modMin[1] = model->modMin[2] = 1; |
|
model->modMax[1] = model->modMax[2] = 1; |
|
model->storage = cvCreateMemStorage(); |
|
|
|
return model; |
|
} |
|
|
|
void cvReleaseBGCodeBookModel( CvBGCodeBookModel** model ) |
|
{ |
|
if( model && *model ) |
|
{ |
|
cvReleaseMemStorage( &(*model)->storage ); |
|
memset( *model, 0, sizeof(**model) ); |
|
cvFree( model ); |
|
} |
|
} |
|
|
|
static uchar satTab8u[768]; |
|
#undef SAT_8U |
|
#define SAT_8U(x) satTab8u[(x) + 255] |
|
|
|
static void icvInitSatTab() |
|
{ |
|
static int initialized = 0; |
|
if( !initialized ) |
|
{ |
|
for( int i = 0; i < 768; i++ ) |
|
{ |
|
int v = i - 255; |
|
satTab8u[i] = (uchar)(v < 0 ? 0 : v > 255 ? 255 : v); |
|
} |
|
initialized = 1; |
|
} |
|
} |
|
|
|
|
|
void cvBGCodeBookUpdate( CvBGCodeBookModel* model, const CvArr* _image, |
|
CvRect roi, const CvArr* _mask ) |
|
{ |
|
CV_FUNCNAME( "cvBGCodeBookUpdate" ); |
|
|
|
__BEGIN__; |
|
|
|
CvMat stub, *image = cvGetMat( _image, &stub ); |
|
CvMat mstub, *mask = _mask ? cvGetMat( _mask, &mstub ) : 0; |
|
int i, x, y, T; |
|
int nblocks; |
|
uchar cb0, cb1, cb2; |
|
CvBGCodeBookElem* freeList; |
|
|
|
CV_ASSERT( model && CV_MAT_TYPE(image->type) == CV_8UC3 && |
|
(!mask || (CV_IS_MASK_ARR(mask) && CV_ARE_SIZES_EQ(image, mask))) ); |
|
|
|
if( roi.x == 0 && roi.y == 0 && roi.width == 0 && roi.height == 0 ) |
|
{ |
|
roi.width = image->cols; |
|
roi.height = image->rows; |
|
} |
|
else |
|
CV_ASSERT( (unsigned)roi.x < (unsigned)image->cols && |
|
(unsigned)roi.y < (unsigned)image->rows && |
|
roi.width >= 0 && roi.height >= 0 && |
|
roi.x + roi.width <= image->cols && |
|
roi.y + roi.height <= image->rows ); |
|
|
|
if( image->cols != model->size.width || image->rows != model->size.height ) |
|
{ |
|
cvClearMemStorage( model->storage ); |
|
model->freeList = 0; |
|
cvFree( &model->cbmap ); |
|
int bufSz = image->cols*image->rows*sizeof(model->cbmap[0]); |
|
model->cbmap = (CvBGCodeBookElem**)cvAlloc(bufSz); |
|
memset( model->cbmap, 0, bufSz ); |
|
model->size = cvSize(image->cols, image->rows); |
|
} |
|
|
|
icvInitSatTab(); |
|
|
|
cb0 = model->cbBounds[0]; |
|
cb1 = model->cbBounds[1]; |
|
cb2 = model->cbBounds[2]; |
|
|
|
T = ++model->t; |
|
freeList = model->freeList; |
|
nblocks = (int)((model->storage->block_size - sizeof(CvMemBlock))/sizeof(*freeList)); |
|
nblocks = MIN( nblocks, 1024 ); |
|
CV_ASSERT( nblocks > 0 ); |
|
|
|
for( y = 0; y < roi.height; y++ ) |
|
{ |
|
const uchar* p = image->data.ptr + image->step*(y + roi.y) + roi.x*3; |
|
const uchar* m = mask ? mask->data.ptr + mask->step*(y + roi.y) + roi.x : 0; |
|
CvBGCodeBookElem** cb = model->cbmap + image->cols*(y + roi.y) + roi.x; |
|
|
|
for( x = 0; x < roi.width; x++, p += 3, cb++ ) |
|
{ |
|
CvBGCodeBookElem *e, *found = 0; |
|
uchar p0, p1, p2, l0, l1, l2, h0, h1, h2; |
|
int negRun; |
|
|
|
if( m && m[x] == 0 ) |
|
continue; |
|
|
|
p0 = p[0]; p1 = p[1]; p2 = p[2]; |
|
l0 = SAT_8U(p0 - cb0); l1 = SAT_8U(p1 - cb1); l2 = SAT_8U(p2 - cb2); |
|
h0 = SAT_8U(p0 + cb0); h1 = SAT_8U(p1 + cb1); h2 = SAT_8U(p2 + cb2); |
|
|
|
for( e = *cb; e != 0; e = e->next ) |
|
{ |
|
if( e->learnMin[0] <= p0 && p0 <= e->learnMax[0] && |
|
e->learnMin[1] <= p1 && p1 <= e->learnMax[1] && |
|
e->learnMin[2] <= p2 && p2 <= e->learnMax[2] ) |
|
{ |
|
e->tLastUpdate = T; |
|
e->boxMin[0] = MIN(e->boxMin[0], p0); |
|
e->boxMax[0] = MAX(e->boxMax[0], p0); |
|
e->boxMin[1] = MIN(e->boxMin[1], p1); |
|
e->boxMax[1] = MAX(e->boxMax[1], p1); |
|
e->boxMin[2] = MIN(e->boxMin[2], p2); |
|
e->boxMax[2] = MAX(e->boxMax[2], p2); |
|
|
|
// no need to use SAT_8U for updated learnMin[i] & learnMax[i] here, |
|
// as the bounding li & hi are already within 0..255. |
|
if( e->learnMin[0] > l0 ) e->learnMin[0]--; |
|
if( e->learnMax[0] < h0 ) e->learnMax[0]++; |
|
if( e->learnMin[1] > l1 ) e->learnMin[1]--; |
|
if( e->learnMax[1] < h1 ) e->learnMax[1]++; |
|
if( e->learnMin[2] > l2 ) e->learnMin[2]--; |
|
if( e->learnMax[2] < h2 ) e->learnMax[2]++; |
|
|
|
found = e; |
|
break; |
|
} |
|
negRun = T - e->tLastUpdate; |
|
e->stale = MAX( e->stale, negRun ); |
|
} |
|
|
|
for( ; e != 0; e = e->next ) |
|
{ |
|
negRun = T - e->tLastUpdate; |
|
e->stale = MAX( e->stale, negRun ); |
|
} |
|
|
|
if( !found ) |
|
{ |
|
if( !freeList ) |
|
{ |
|
freeList = (CvBGCodeBookElem*)cvMemStorageAlloc(model->storage, |
|
nblocks*sizeof(*freeList)); |
|
for( i = 0; i < nblocks-1; i++ ) |
|
freeList[i].next = &freeList[i+1]; |
|
freeList[nblocks-1].next = 0; |
|
} |
|
e = freeList; |
|
freeList = freeList->next; |
|
|
|
e->learnMin[0] = l0; e->learnMax[0] = h0; |
|
e->learnMin[1] = l1; e->learnMax[1] = h1; |
|
e->learnMin[2] = l2; e->learnMax[2] = h2; |
|
e->boxMin[0] = e->boxMax[0] = p0; |
|
e->boxMin[1] = e->boxMax[1] = p1; |
|
e->boxMin[2] = e->boxMax[2] = p2; |
|
e->tLastUpdate = T; |
|
e->stale = 0; |
|
e->next = *cb; |
|
*cb = e; |
|
} |
|
} |
|
} |
|
|
|
model->freeList = freeList; |
|
|
|
__END__; |
|
} |
|
|
|
|
|
int cvBGCodeBookDiff( const CvBGCodeBookModel* model, const CvArr* _image, |
|
CvArr* _fgmask, CvRect roi ) |
|
{ |
|
int maskCount = -1; |
|
|
|
CV_FUNCNAME( "cvBGCodeBookDiff" ); |
|
|
|
__BEGIN__; |
|
|
|
CvMat stub, *image = cvGetMat( _image, &stub ); |
|
CvMat mstub, *mask = cvGetMat( _fgmask, &mstub ); |
|
int x, y; |
|
uchar m0, m1, m2, M0, M1, M2; |
|
|
|
CV_ASSERT( model && CV_MAT_TYPE(image->type) == CV_8UC3 && |
|
image->cols == model->size.width && image->rows == model->size.height && |
|
CV_IS_MASK_ARR(mask) && CV_ARE_SIZES_EQ(image, mask) ); |
|
|
|
if( roi.x == 0 && roi.y == 0 && roi.width == 0 && roi.height == 0 ) |
|
{ |
|
roi.width = image->cols; |
|
roi.height = image->rows; |
|
} |
|
else |
|
CV_ASSERT( (unsigned)roi.x < (unsigned)image->cols && |
|
(unsigned)roi.y < (unsigned)image->rows && |
|
roi.width >= 0 && roi.height >= 0 && |
|
roi.x + roi.width <= image->cols && |
|
roi.y + roi.height <= image->rows ); |
|
|
|
m0 = model->modMin[0]; M0 = model->modMax[0]; |
|
m1 = model->modMin[1]; M1 = model->modMax[1]; |
|
m2 = model->modMin[2]; M2 = model->modMax[2]; |
|
|
|
maskCount = roi.height*roi.width; |
|
for( y = 0; y < roi.height; y++ ) |
|
{ |
|
const uchar* p = image->data.ptr + image->step*(y + roi.y) + roi.x*3; |
|
uchar* m = mask->data.ptr + mask->step*(y + roi.y) + roi.x; |
|
CvBGCodeBookElem** cb = model->cbmap + image->cols*(y + roi.y) + roi.x; |
|
|
|
for( x = 0; x < roi.width; x++, p += 3, cb++ ) |
|
{ |
|
CvBGCodeBookElem *e; |
|
uchar p0 = p[0], p1 = p[1], p2 = p[2]; |
|
int l0 = p0 + m0, l1 = p1 + m1, l2 = p2 + m2; |
|
int h0 = p0 - M0, h1 = p1 - M1, h2 = p2 - M2; |
|
m[x] = (uchar)255; |
|
|
|
for( e = *cb; e != 0; e = e->next ) |
|
{ |
|
if( e->boxMin[0] <= l0 && h0 <= e->boxMax[0] && |
|
e->boxMin[1] <= l1 && h1 <= e->boxMax[1] && |
|
e->boxMin[2] <= l2 && h2 <= e->boxMax[2] ) |
|
{ |
|
m[x] = 0; |
|
maskCount--; |
|
break; |
|
} |
|
} |
|
} |
|
} |
|
|
|
__END__; |
|
|
|
return maskCount; |
|
} |
|
|
|
void cvBGCodeBookClearStale( CvBGCodeBookModel* model, int staleThresh, |
|
CvRect roi, const CvArr* _mask ) |
|
{ |
|
CV_FUNCNAME( "cvBGCodeBookClearStale" ); |
|
|
|
__BEGIN__; |
|
|
|
CvMat mstub, *mask = _mask ? cvGetMat( _mask, &mstub ) : 0; |
|
int x, y, T; |
|
CvBGCodeBookElem* freeList; |
|
|
|
CV_ASSERT( model && (!mask || (CV_IS_MASK_ARR(mask) && |
|
mask->cols == model->size.width && mask->rows == model->size.height)) ); |
|
|
|
if( roi.x == 0 && roi.y == 0 && roi.width == 0 && roi.height == 0 ) |
|
{ |
|
roi.width = model->size.width; |
|
roi.height = model->size.height; |
|
} |
|
else |
|
CV_ASSERT( (unsigned)roi.x < (unsigned)mask->cols && |
|
(unsigned)roi.y < (unsigned)mask->rows && |
|
roi.width >= 0 && roi.height >= 0 && |
|
roi.x + roi.width <= mask->cols && |
|
roi.y + roi.height <= mask->rows ); |
|
|
|
icvInitSatTab(); |
|
freeList = model->freeList; |
|
T = model->t; |
|
|
|
for( y = 0; y < roi.height; y++ ) |
|
{ |
|
const uchar* m = mask ? mask->data.ptr + mask->step*(y + roi.y) + roi.x : 0; |
|
CvBGCodeBookElem** cb = model->cbmap + model->size.width*(y + roi.y) + roi.x; |
|
|
|
for( x = 0; x < roi.width; x++, cb++ ) |
|
{ |
|
CvBGCodeBookElem *e, first, *prev = &first; |
|
|
|
if( m && m[x] == 0 ) |
|
continue; |
|
|
|
for( first.next = e = *cb; e != 0; e = prev->next ) |
|
{ |
|
if( e->stale > staleThresh ) |
|
{ |
|
prev->next = e->next; |
|
e->next = freeList; |
|
freeList = e; |
|
} |
|
else |
|
{ |
|
e->stale = 0; |
|
e->tLastUpdate = T; |
|
prev = e; |
|
} |
|
} |
|
|
|
*cb = first.next; |
|
} |
|
} |
|
|
|
model->freeList = freeList; |
|
|
|
__END__; |
|
} |
|
|
|
/* End of file. */
|
|
|