converter stereo correspondence algorithms to the new style
This commit is contained in:
@@ -124,93 +124,3 @@ void cvValidateDisparity( CvArr* _disp, const CvArr* _cost, int minDisparity,
|
||||
cv::Mat disp = cv::cvarrToMat(_disp), cost = cv::cvarrToMat(_cost);
|
||||
cv::validateDisparity( disp, cost, minDisparity, numberOfDisparities, disp12MaxDiff );
|
||||
}
|
||||
|
||||
namespace cv
|
||||
{
|
||||
|
||||
StereoBM::StereoBM()
|
||||
{ init(BASIC_PRESET); }
|
||||
|
||||
StereoBM::StereoBM(int _preset, int _ndisparities, int _SADWindowSize)
|
||||
{ init(_preset, _ndisparities, _SADWindowSize); }
|
||||
|
||||
void StereoBM::init(int _preset, int _ndisparities, int _SADWindowSize)
|
||||
{
|
||||
state = cvCreateStereoBMState(_preset, _ndisparities);
|
||||
state->SADWindowSize = _SADWindowSize;
|
||||
}
|
||||
|
||||
void StereoBM::operator()( InputArray _left, InputArray _right,
|
||||
OutputArray _disparity, int disptype )
|
||||
{
|
||||
Mat left = _left.getMat(), right = _right.getMat();
|
||||
CV_Assert( disptype == CV_16S || disptype == CV_32F );
|
||||
_disparity.create(left.size(), disptype);
|
||||
Mat disp = _disparity.getMat();
|
||||
|
||||
CvMat left_c = left, right_c = right, disp_c = disp;
|
||||
cvFindStereoCorrespondenceBM(&left_c, &right_c, &disp_c, state);
|
||||
}
|
||||
|
||||
|
||||
StereoSGBM::StereoSGBM()
|
||||
{
|
||||
minDisparity = numberOfDisparities = 0;
|
||||
SADWindowSize = 0;
|
||||
P1 = P2 = 0;
|
||||
disp12MaxDiff = 0;
|
||||
preFilterCap = 0;
|
||||
uniquenessRatio = 0;
|
||||
speckleWindowSize = 0;
|
||||
speckleRange = 0;
|
||||
fullDP = false;
|
||||
|
||||
sm = createStereoSGBM(0, 0, 0);
|
||||
}
|
||||
|
||||
StereoSGBM::StereoSGBM( int _minDisparity, int _numDisparities, int _SADWindowSize,
|
||||
int _P1, int _P2, int _disp12MaxDiff, int _preFilterCap,
|
||||
int _uniquenessRatio, int _speckleWindowSize, int _speckleRange,
|
||||
bool _fullDP )
|
||||
{
|
||||
minDisparity = _minDisparity;
|
||||
numberOfDisparities = _numDisparities;
|
||||
SADWindowSize = _SADWindowSize;
|
||||
P1 = _P1;
|
||||
P2 = _P2;
|
||||
disp12MaxDiff = _disp12MaxDiff;
|
||||
preFilterCap = _preFilterCap;
|
||||
uniquenessRatio = _uniquenessRatio;
|
||||
speckleWindowSize = _speckleWindowSize;
|
||||
speckleRange = _speckleRange;
|
||||
fullDP = _fullDP;
|
||||
|
||||
sm = createStereoSGBM(0, 0, 0);
|
||||
}
|
||||
|
||||
StereoSGBM::~StereoSGBM()
|
||||
{
|
||||
}
|
||||
|
||||
void StereoSGBM::operator ()( InputArray _left, InputArray _right,
|
||||
OutputArray _disp )
|
||||
{
|
||||
sm->set("minDisparity", minDisparity);
|
||||
sm->set("numDisparities", numberOfDisparities);
|
||||
sm->set("SADWindowSize", SADWindowSize);
|
||||
sm->set("P1", P1);
|
||||
sm->set("P2", P2);
|
||||
sm->set("disp12MaxDiff", disp12MaxDiff);
|
||||
sm->set("preFilterCap", preFilterCap);
|
||||
sm->set("uniquenessRatio", uniquenessRatio);
|
||||
sm->set("speckleWindowSize", speckleWindowSize);
|
||||
sm->set("speckleRange", speckleRange);
|
||||
sm->set("fullDP", fullDP);
|
||||
|
||||
sm->compute(_left, _right, _disp);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
@@ -56,7 +56,7 @@ struct StereoBMParams
|
||||
{
|
||||
StereoBMParams(int _numDisparities=64, int _SADWindowSize=21)
|
||||
{
|
||||
preFilterType = STEREO_PREFILTER_XSOBEL;
|
||||
preFilterType = StereoBM::PREFILTER_XSOBEL;
|
||||
preFilterSize = 9;
|
||||
preFilterCap = 31;
|
||||
SADWindowSize = _SADWindowSize;
|
||||
@@ -676,7 +676,7 @@ struct PrefilterInvoker : public ParallelLoopBody
|
||||
{
|
||||
for( int i = range.start; i < range.end; i++ )
|
||||
{
|
||||
if( state->preFilterType == STEREO_PREFILTER_NORMALIZED_RESPONSE )
|
||||
if( state->preFilterType == StereoBM::PREFILTER_NORMALIZED_RESPONSE )
|
||||
prefilterNorm( *imgs0[i], *imgs[i], state->preFilterSize, state->preFilterCap, buf[i] );
|
||||
else
|
||||
prefilterXSobel( *imgs0[i], *imgs[i], state->preFilterCap );
|
||||
@@ -771,8 +771,7 @@ protected:
|
||||
Rect validDisparityRect;
|
||||
};
|
||||
|
||||
|
||||
class StereoBMImpl : public StereoMatcher
|
||||
class StereoBMImpl : public StereoBM
|
||||
{
|
||||
public:
|
||||
StereoBMImpl()
|
||||
@@ -802,8 +801,8 @@ public:
|
||||
disparr.create(left0.size(), dtype);
|
||||
Mat disp0 = disparr.getMat();
|
||||
|
||||
if( params.preFilterType != STEREO_PREFILTER_NORMALIZED_RESPONSE &&
|
||||
params.preFilterType != STEREO_PREFILTER_XSOBEL )
|
||||
if( params.preFilterType != PREFILTER_NORMALIZED_RESPONSE &&
|
||||
params.preFilterType != PREFILTER_XSOBEL )
|
||||
CV_Error( CV_StsOutOfRange, "preFilterType must be = CV_STEREO_BM_NORMALIZED_RESPONSE" );
|
||||
|
||||
if( params.preFilterSize < 5 || params.preFilterSize > 255 || params.preFilterSize % 2 == 0 )
|
||||
@@ -901,33 +900,95 @@ public:
|
||||
disp.convertTo(disp0, disp0.type(), 1./(1 << DISPARITY_SHIFT), 0);
|
||||
}
|
||||
|
||||
AlgorithmInfo* info() const;
|
||||
AlgorithmInfo* info() const { return 0; }
|
||||
|
||||
int getMinDisparity() const { return params.minDisparity; }
|
||||
void setMinDisparity(int minDisparity) { params.minDisparity = minDisparity; }
|
||||
|
||||
int getNumDisparities() const { return params.numDisparities; }
|
||||
void setNumDisparities(int numDisparities) { params.numDisparities = numDisparities; }
|
||||
|
||||
int getBlockSize() const { return params.SADWindowSize; }
|
||||
void setBlockSize(int blockSize) { params.SADWindowSize = blockSize; }
|
||||
|
||||
int getSpeckleWindowSize() const { return params.speckleWindowSize; }
|
||||
void setSpeckleWindowSize(int speckleWindowSize) { params.speckleWindowSize = speckleWindowSize; }
|
||||
|
||||
int getSpeckleRange() const { return params.speckleRange; }
|
||||
void setSpeckleRange(int speckleRange) { params.speckleRange = speckleRange; }
|
||||
|
||||
int getDisp12MaxDiff() const { return params.disp12MaxDiff; }
|
||||
void setDisp12MaxDiff(int disp12MaxDiff) { params.disp12MaxDiff = disp12MaxDiff; }
|
||||
|
||||
int getPreFilterType() const { return params.preFilterType; }
|
||||
void setPreFilterType(int preFilterType) { params.preFilterType = preFilterType; }
|
||||
|
||||
int getPreFilterSize() const { return params.preFilterSize; }
|
||||
void setPreFilterSize(int preFilterSize) { params.preFilterSize = preFilterSize; }
|
||||
|
||||
int getPreFilterCap() const { return params.preFilterCap; }
|
||||
void setPreFilterCap(int preFilterCap) { params.preFilterCap = preFilterCap; }
|
||||
|
||||
int getTextureThreshold() const { return params.textureThreshold; }
|
||||
void setTextureThreshold(int textureThreshold) { params.textureThreshold = textureThreshold; }
|
||||
|
||||
int getUniquenessRatio() const { return params.uniquenessRatio; }
|
||||
void setUniquenessRatio(int uniquenessRatio) { params.uniquenessRatio = uniquenessRatio; }
|
||||
|
||||
int getSmallerBlockSize() const { return 0; }
|
||||
void setSmallerBlockSize(int) {}
|
||||
|
||||
Rect getROI1() const { return params.roi1; }
|
||||
void setROI1(Rect roi1) { params.roi1 = roi1; }
|
||||
|
||||
Rect getROI2() const { return params.roi2; }
|
||||
void setROI2(Rect roi2) { params.roi2 = roi2; }
|
||||
|
||||
void write(FileStorage& fs) const
|
||||
{
|
||||
fs << "name" << name_
|
||||
<< "minDisparity" << params.minDisparity
|
||||
<< "numDisparities" << params.numDisparities
|
||||
<< "blockSize" << params.SADWindowSize
|
||||
<< "speckleWindowSize" << params.speckleWindowSize
|
||||
<< "speckleRange" << params.speckleRange
|
||||
<< "disp12MaxDiff" << params.disp12MaxDiff
|
||||
<< "preFilterType" << params.preFilterType
|
||||
<< "preFilterSize" << params.preFilterSize
|
||||
<< "preFilterCap" << params.preFilterCap
|
||||
<< "textureThreshold" << params.textureThreshold
|
||||
<< "uniquenessRatio" << params.uniquenessRatio;
|
||||
}
|
||||
|
||||
void read(const FileNode& fn)
|
||||
{
|
||||
CV_Assert( (std::string)fn["name"] == std::string(name_) );
|
||||
params.minDisparity = (int)fn["minDisparity"];
|
||||
params.numDisparities = (int)fn["numDisparities"];
|
||||
params.SADWindowSize = (int)fn["blockSize"];
|
||||
params.speckleWindowSize = (int)fn["speckleWindowSize"];
|
||||
params.speckleRange = (int)fn["speckleRange"];
|
||||
params.disp12MaxDiff = (int)fn["disp12MaxDiff"];
|
||||
params.preFilterType = (int)fn["preFilterType"];
|
||||
params.preFilterSize = (int)fn["preFilterSize"];
|
||||
params.preFilterCap = (int)fn["preFilterCap"];
|
||||
params.textureThreshold = (int)fn["textureThreshold"];
|
||||
params.uniquenessRatio = (int)fn["uniquenessRatio"];
|
||||
params.roi1 = params.roi2 = Rect();
|
||||
}
|
||||
|
||||
StereoBMParams params;
|
||||
Mat preFilteredImg0, preFilteredImg1, cost, dispbuf;
|
||||
Mat slidingSumBuf;
|
||||
|
||||
static const char* name_;
|
||||
};
|
||||
|
||||
#define add_param(n) \
|
||||
obj.info()->addParam(obj, #n, obj.params.n)
|
||||
|
||||
CV_INIT_ALGORITHM(StereoBMImpl, "StereoMatcher.BM",
|
||||
add_param(preFilterType);
|
||||
add_param(preFilterSize);
|
||||
add_param(preFilterCap);
|
||||
add_param(SADWindowSize);
|
||||
add_param(minDisparity);
|
||||
add_param(numDisparities);
|
||||
add_param(textureThreshold);
|
||||
add_param(uniquenessRatio);
|
||||
add_param(speckleRange);
|
||||
add_param(speckleWindowSize);
|
||||
add_param(disp12MaxDiff);
|
||||
add_param(dispType));
|
||||
const char* StereoBMImpl::name_ = "StereoMatcher.BM";
|
||||
|
||||
}
|
||||
|
||||
cv::Ptr<cv::StereoMatcher> cv::createStereoBM(int _numDisparities, int _SADWindowSize)
|
||||
cv::Ptr<cv::StereoBM> cv::createStereoBM(int _numDisparities, int _SADWindowSize)
|
||||
{
|
||||
return new StereoBMImpl(_numDisparities, _SADWindowSize);
|
||||
}
|
||||
|
@@ -75,13 +75,13 @@ struct StereoSGBMParams
|
||||
uniquenessRatio = 0;
|
||||
speckleWindowSize = 0;
|
||||
speckleRange = 0;
|
||||
fullDP = false;
|
||||
mode = StereoSGBM::MODE_SGBM;
|
||||
}
|
||||
|
||||
StereoSGBMParams( int _minDisparity, int _numDisparities, int _SADWindowSize,
|
||||
int _P1, int _P2, int _disp12MaxDiff, int _preFilterCap,
|
||||
int _uniquenessRatio, int _speckleWindowSize, int _speckleRange,
|
||||
bool _fullDP )
|
||||
int _mode )
|
||||
{
|
||||
minDisparity = _minDisparity;
|
||||
numDisparities = _numDisparities;
|
||||
@@ -93,7 +93,7 @@ struct StereoSGBMParams
|
||||
uniquenessRatio = _uniquenessRatio;
|
||||
speckleWindowSize = _speckleWindowSize;
|
||||
speckleRange = _speckleRange;
|
||||
fullDP = _fullDP;
|
||||
mode = _mode;
|
||||
}
|
||||
|
||||
int minDisparity;
|
||||
@@ -106,7 +106,7 @@ struct StereoSGBMParams
|
||||
int speckleWindowSize;
|
||||
int speckleRange;
|
||||
int disp12MaxDiff;
|
||||
bool fullDP;
|
||||
int mode;
|
||||
};
|
||||
|
||||
/*
|
||||
@@ -328,8 +328,8 @@ static void computeDisparitySGBM( const Mat& img1, const Mat& img2,
|
||||
#endif
|
||||
|
||||
const int ALIGN = 16;
|
||||
const int DISP_SHIFT = StereoSGBM::DISP_SHIFT;
|
||||
const int DISP_SCALE = StereoSGBM::DISP_SCALE;
|
||||
const int DISP_SHIFT = StereoMatcher::DISP_SHIFT;
|
||||
const int DISP_SCALE = (1 << DISP_SHIFT);
|
||||
const CostType MAX_COST = SHRT_MAX;
|
||||
|
||||
int minD = params.minDisparity, maxD = minD + params.numDisparities;
|
||||
@@ -344,7 +344,8 @@ static void computeDisparitySGBM( const Mat& img1, const Mat& img2,
|
||||
int D = maxD - minD, width1 = maxX1 - minX1;
|
||||
int INVALID_DISP = minD - 1, INVALID_DISP_SCALED = INVALID_DISP*DISP_SCALE;
|
||||
int SW2 = SADWindowSize.width/2, SH2 = SADWindowSize.height/2;
|
||||
int npasses = params.fullDP ? 2 : 1;
|
||||
bool fullDP = params.mode == StereoSGBM::MODE_HH;
|
||||
int npasses = fullDP ? 2 : 1;
|
||||
const int TAB_OFS = 256*4, TAB_SIZE = 256 + TAB_OFS*2;
|
||||
PixType clipTab[TAB_SIZE];
|
||||
|
||||
@@ -373,7 +374,7 @@ static void computeDisparitySGBM( const Mat& img1, const Mat& img2,
|
||||
// we keep pixel difference cost (C) and the summary cost over NR directions (S).
|
||||
// we also keep all the partial costs for the previous line L_r(x,d) and also min_k L_r(x, k)
|
||||
size_t costBufSize = width1*D;
|
||||
size_t CSBufSize = costBufSize*(params.fullDP ? height : 1);
|
||||
size_t CSBufSize = costBufSize*(fullDP ? height : 1);
|
||||
size_t minLrSize = (width1 + LrBorder*2)*NR2, LrSize = minLrSize*D2;
|
||||
int hsumBufNRows = SH2*2 + 2;
|
||||
size_t totalBufSize = (LrSize + minLrSize)*NLR*sizeof(CostType) + // minLr[] and Lr[]
|
||||
@@ -434,8 +435,8 @@ static void computeDisparitySGBM( const Mat& img1, const Mat& img2,
|
||||
{
|
||||
int x, d;
|
||||
DispType* disp1ptr = disp1.ptr<DispType>(y);
|
||||
CostType* C = Cbuf + (!params.fullDP ? 0 : y*costBufSize);
|
||||
CostType* S = Sbuf + (!params.fullDP ? 0 : y*costBufSize);
|
||||
CostType* C = Cbuf + (!fullDP ? 0 : y*costBufSize);
|
||||
CostType* S = Sbuf + (!fullDP ? 0 : y*costBufSize);
|
||||
|
||||
if( pass == 1 ) // compute C on the first pass, and reuse it on the second pass, if any.
|
||||
{
|
||||
@@ -460,7 +461,7 @@ static void computeDisparitySGBM( const Mat& img1, const Mat& img2,
|
||||
if( y > 0 )
|
||||
{
|
||||
const CostType* hsumSub = hsumBuf + (std::max(y - SH2 - 1, 0) % hsumBufNRows)*costBufSize;
|
||||
const CostType* Cprev = !params.fullDP || y == 0 ? C : C - costBufSize;
|
||||
const CostType* Cprev = !fullDP || y == 0 ? C : C - costBufSize;
|
||||
|
||||
for( x = D; x < width1*D; x += D )
|
||||
{
|
||||
@@ -828,8 +829,7 @@ static void computeDisparitySGBM( const Mat& img1, const Mat& img2,
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
class StereoSGBMImpl : public StereoMatcher
|
||||
class StereoSGBMImpl : public StereoSGBM
|
||||
{
|
||||
public:
|
||||
StereoSGBMImpl()
|
||||
@@ -840,12 +840,12 @@ public:
|
||||
StereoSGBMImpl( int _minDisparity, int _numDisparities, int _SADWindowSize,
|
||||
int _P1, int _P2, int _disp12MaxDiff, int _preFilterCap,
|
||||
int _uniquenessRatio, int _speckleWindowSize, int _speckleRange,
|
||||
bool _fullDP )
|
||||
int _mode )
|
||||
{
|
||||
params = StereoSGBMParams( _minDisparity, _numDisparities, _SADWindowSize,
|
||||
_P1, _P2, _disp12MaxDiff, _preFilterCap,
|
||||
_uniquenessRatio, _speckleWindowSize, _speckleRange,
|
||||
_fullDP );
|
||||
_mode );
|
||||
}
|
||||
|
||||
void compute( InputArray leftarr, InputArray rightarr, OutputArray disparr )
|
||||
@@ -861,47 +861,98 @@ public:
|
||||
medianBlur(disp, disp, 3);
|
||||
|
||||
if( params.speckleWindowSize > 0 )
|
||||
filterSpeckles(disp, (params.minDisparity - 1)*STEREO_DISP_SCALE, params.speckleWindowSize,
|
||||
STEREO_DISP_SCALE*params.speckleRange, buffer);
|
||||
filterSpeckles(disp, (params.minDisparity - 1)*StereoMatcher::DISP_SCALE, params.speckleWindowSize,
|
||||
StereoMatcher::DISP_SCALE*params.speckleRange, buffer);
|
||||
}
|
||||
|
||||
AlgorithmInfo* info() const;
|
||||
AlgorithmInfo* info() const { return 0; }
|
||||
|
||||
int getMinDisparity() const { return params.minDisparity; }
|
||||
void setMinDisparity(int minDisparity) { params.minDisparity = minDisparity; }
|
||||
|
||||
int getNumDisparities() const { return params.numDisparities; }
|
||||
void setNumDisparities(int numDisparities) { params.numDisparities = numDisparities; }
|
||||
|
||||
int getBlockSize() const { return params.SADWindowSize; }
|
||||
void setBlockSize(int blockSize) { params.SADWindowSize = blockSize; }
|
||||
|
||||
int getSpeckleWindowSize() const { return params.speckleWindowSize; }
|
||||
void setSpeckleWindowSize(int speckleWindowSize) { params.speckleWindowSize = speckleWindowSize; }
|
||||
|
||||
int getSpeckleRange() const { return params.speckleRange; }
|
||||
void setSpeckleRange(int speckleRange) { params.speckleRange = speckleRange; }
|
||||
|
||||
int getDisp12MaxDiff() const { return params.disp12MaxDiff; }
|
||||
void setDisp12MaxDiff(int disp12MaxDiff) { params.disp12MaxDiff = disp12MaxDiff; }
|
||||
|
||||
int getPreFilterCap() const { return params.preFilterCap; }
|
||||
void setPreFilterCap(int preFilterCap) { params.preFilterCap = preFilterCap; }
|
||||
|
||||
int getUniquenessRatio() const { return params.uniquenessRatio; }
|
||||
void setUniquenessRatio(int uniquenessRatio) { params.uniquenessRatio = uniquenessRatio; }
|
||||
|
||||
int getP1() const { return params.P1; }
|
||||
void setP1(int P1) { params.P1 = P1; }
|
||||
|
||||
int getP2() const { return params.P2; }
|
||||
void setP2(int P2) { params.P2 = P2; }
|
||||
|
||||
int getMode() const { return params.mode; }
|
||||
void setMode(int mode) { params.mode = mode; }
|
||||
|
||||
void write(FileStorage& fs) const
|
||||
{
|
||||
fs << "name" << name_
|
||||
<< "minDisparity" << params.minDisparity
|
||||
<< "numDisparities" << params.numDisparities
|
||||
<< "blockSize" << params.SADWindowSize
|
||||
<< "speckleWindowSize" << params.speckleWindowSize
|
||||
<< "speckleRange" << params.speckleRange
|
||||
<< "disp12MaxDiff" << params.disp12MaxDiff
|
||||
<< "preFilterCap" << params.preFilterCap
|
||||
<< "uniquenessRatio" << params.uniquenessRatio
|
||||
<< "P1" << params.P1
|
||||
<< "P2" << params.P2
|
||||
<< "mode" << params.mode;
|
||||
}
|
||||
|
||||
void read(const FileNode& fn)
|
||||
{
|
||||
CV_Assert( (std::string)fn["name"] == std::string(name_) );
|
||||
params.minDisparity = (int)fn["minDisparity"];
|
||||
params.numDisparities = (int)fn["numDisparities"];
|
||||
params.SADWindowSize = (int)fn["blockSize"];
|
||||
params.speckleWindowSize = (int)fn["speckleWindowSize"];
|
||||
params.speckleRange = (int)fn["speckleRange"];
|
||||
params.disp12MaxDiff = (int)fn["disp12MaxDiff"];
|
||||
params.preFilterCap = (int)fn["preFilterCap"];
|
||||
params.uniquenessRatio = (int)fn["uniquenessRatio"];
|
||||
params.P1 = (int)fn["P1"];
|
||||
params.P2 = (int)fn["P2"];
|
||||
params.mode = (int)fn["mode"];
|
||||
}
|
||||
|
||||
StereoSGBMParams params;
|
||||
Mat buffer;
|
||||
static const char* name_;
|
||||
};
|
||||
|
||||
const char* StereoSGBMImpl::name_ = "StereoMatcher.SGBM";
|
||||
|
||||
Ptr<StereoMatcher> createStereoSGBM(int minDisparity, int numDisparities, int SADWindowSize,
|
||||
int P1, int P2, int disp12MaxDiff,
|
||||
int preFilterCap, int uniquenessRatio,
|
||||
int speckleWindowSize, int speckleRange,
|
||||
bool fullDP)
|
||||
|
||||
Ptr<StereoSGBM> createStereoSGBM(int minDisparity, int numDisparities, int SADWindowSize,
|
||||
int P1, int P2, int disp12MaxDiff,
|
||||
int preFilterCap, int uniquenessRatio,
|
||||
int speckleWindowSize, int speckleRange,
|
||||
int mode)
|
||||
{
|
||||
return new StereoSGBMImpl(minDisparity, numDisparities, SADWindowSize,
|
||||
P1, P2, disp12MaxDiff,
|
||||
preFilterCap, uniquenessRatio,
|
||||
speckleWindowSize, speckleRange,
|
||||
fullDP);
|
||||
mode);
|
||||
}
|
||||
|
||||
|
||||
#define add_param(n) \
|
||||
obj.info()->addParam(obj, #n, obj.params.n)
|
||||
|
||||
CV_INIT_ALGORITHM(StereoSGBMImpl, "StereoMatcher.SGBM",
|
||||
add_param(minDisparity);
|
||||
add_param(numDisparities);
|
||||
add_param(SADWindowSize);
|
||||
add_param(preFilterCap);
|
||||
add_param(uniquenessRatio);
|
||||
add_param(P1);
|
||||
add_param(P2);
|
||||
add_param(speckleWindowSize);
|
||||
add_param(speckleRange);
|
||||
add_param(disp12MaxDiff);
|
||||
add_param(fullDP));
|
||||
|
||||
Rect getValidDisparityROI( Rect roi1, Rect roi2,
|
||||
int minDisparity,
|
||||
int numberOfDisparities,
|
||||
|
Reference in New Issue
Block a user