struct cv::gpu::SoftCascade::Filds
{
+ struct CascadeIntrinsics
+ {
+ static const float lambda = 1.099f, a = 0.89f;
+
+ static float getFor(int channel, float scaling)
+ {
+ CV_Assert(channel < 10);
+
+ if (fabs(scaling - 1.f) < FLT_EPSILON)
+ return 1.f;
+
+ // according to R. Benenson, M. Mathias, R. Timofte and L. Van Gool's and Dallal's papers
+ static const float A[2][2] =
+ { //channel <= 6, otherwise
+ { 0.89f, 1.f}, // down
+ { 1.00f, 1.f} // up
+ };
+
+ static const float B[2][2] =
+ { //channel <= 6, otherwise
+ { 1.099f / ::log(2), 2.f}, // down
+ { 0.f, 2.f} // up
+ };
- Filds()
+ float a = A[(int)(scaling >= 1)][(int)(channel > 6)];
+ float b = B[(int)(scaling >= 1)][(int)(channel > 6)];
+
+ // printf("!!! scaling: %f %f %f -> %f\n", scaling, a, b, a * pow(scaling, b));
+ return a * ::pow(scaling, b);
+ }
+ };
+
+ static Filds* parseCascade(const FileNode &root, const float mins, const float maxs)
{
- plane.create(FRAME_HEIGHT * (HOG_LUV_BINS + 1), FRAME_WIDTH, CV_8UC1);
- fplane.create(FRAME_HEIGHT * 6, FRAME_WIDTH, CV_32FC1);
- luv.create(FRAME_HEIGHT, FRAME_WIDTH, CV_8UC3);
- shrunk.create(FRAME_HEIGHT / 4 * HOG_LUV_BINS, FRAME_WIDTH / 4, CV_8UC1);
- integralBuffer.create(1 , (shrunk.rows + 1) * HOG_LUV_BINS * (shrunk.cols + 1), CV_32SC1);
- hogluv.create((FRAME_HEIGHT / 4 + 1) * HOG_LUV_BINS, FRAME_WIDTH / 4 + 64, CV_32SC1);
- detCounter.create(1,1, CV_32SC1);
- }
+ static const char *const SC_STAGE_TYPE = "stageType";
+ static const char *const SC_BOOST = "BOOST";
- // scales range
- float minScale;
- float maxScale;
+ static const char *const SC_FEATURE_TYPE = "featureType";
+ static const char *const SC_ICF = "ICF";
- int origObjWidth;
- int origObjHeight;
+ // only Ada Boost supported
+ std::string stageTypeStr = (string)root[SC_STAGE_TYPE];
+ CV_Assert(stageTypeStr == SC_BOOST);
- int downscales;
+ // only HOG-like integral channel features cupported
+ string featureTypeStr = (string)root[SC_FEATURE_TYPE];
+ CV_Assert(featureTypeStr == SC_ICF);
- GpuMat octaves;
- GpuMat stages;
- GpuMat nodes;
- GpuMat leaves;
- GpuMat levels;
+ static const char *const SC_ORIG_W = "width";
+ static const char *const SC_ORIG_H = "height";
- GpuMat detCounter;
+ int origWidth = (int)root[SC_ORIG_W];
+ CV_Assert(origWidth == ORIG_OBJECT_WIDTH);
- // preallocated buffer 640x480x10 for hogluv + 640x480 got gray
- GpuMat plane;
+ int origHeight = (int)root[SC_ORIG_H];
+ CV_Assert(origHeight == ORIG_OBJECT_HEIGHT);
- // preallocated buffer for floating point operations
- GpuMat fplane;
+ static const char *const SC_OCTAVES = "octaves";
+ static const char *const SC_STAGES = "stages";
+ static const char *const SC_FEATURES = "features";
- // temporial mat for cvtColor
- GpuMat luv;
+ static const char *const SC_WEEK = "weakClassifiers";
+ static const char *const SC_INTERNAL = "internalNodes";
+ static const char *const SC_LEAF = "leafValues";
- // 160x120x10
- GpuMat shrunk;
+ static const char *const SC_OCT_SCALE = "scale";
+ static const char *const SC_OCT_STAGES = "stageNum";
+ static const char *const SC_OCT_SHRINKAGE = "shrinkingFactor";
- // temporial mat for integrall
- GpuMat integralBuffer;
+ static const char *const SC_STAGE_THRESHOLD = "stageThreshold";
- // 161x121x10
- GpuMat hogluv;
+ static const char * const SC_F_CHANNEL = "channel";
+ static const char * const SC_F_RECT = "rect";
- std::vector<float> scales;
- device::icf::CascadeInvoker<device::icf::CascadePolicy> invoker;
+ FileNode fn = root[SC_OCTAVES];
+ if (fn.empty()) return false;
- static const int shrinkage = 4;
+ using namespace device::icf;
- enum { BOOST = 0 };
- enum
+ std::vector<Octave> voctaves;
+ std::vector<float> vstages;
+ std::vector<Node> vnodes;
+ std::vector<float> vleaves;
+
+ FileNodeIterator it = fn.begin(), it_end = fn.end();
+ int feature_offset = 0;
+ ushort octIndex = 0;
+ ushort shrinkage = 1;
+
+ for (; it != it_end; ++it)
+ {
+ FileNode fns = *it;
+ float scale = (float)fns[SC_OCT_SCALE];
+
+ bool isUPOctave = scale >= 1;
+
+ ushort nstages = saturate_cast<ushort>((int)fns[SC_OCT_STAGES]);
+ ushort2 size;
+ size.x = cvRound(ORIG_OBJECT_WIDTH * scale);
+ size.y = cvRound(ORIG_OBJECT_HEIGHT * scale);
+ shrinkage = saturate_cast<ushort>((int)fns[SC_OCT_SHRINKAGE]);
+
+ Octave octave(octIndex, nstages, shrinkage, size, scale);
+ CV_Assert(octave.stages > 0);
+ voctaves.push_back(octave);
+
+ FileNode ffs = fns[SC_FEATURES];
+ if (ffs.empty()) return false;
+
+ FileNodeIterator ftrs = ffs.begin();
+
+ fns = fns[SC_STAGES];
+ if (fn.empty()) return false;
+
+ // for each stage (~ decision tree with H = 2)
+ FileNodeIterator st = fns.begin(), st_end = fns.end();
+ for (; st != st_end; ++st )
+ {
+ fns = *st;
+ vstages.push_back((float)fns[SC_STAGE_THRESHOLD]);
+
+ fns = fns[SC_WEEK];
+ FileNodeIterator ftr = fns.begin(), ft_end = fns.end();
+ for (; ftr != ft_end; ++ftr)
+ {
+ fns = (*ftr)[SC_INTERNAL];
+ FileNodeIterator inIt = fns.begin(), inIt_end = fns.end();
+ for (; inIt != inIt_end;)
+ {
+ // int feature = (int)(*(inIt +=2)) + feature_offset;
+ inIt +=3;
+ // extract feature, Todo:check it
+ uint th = saturate_cast<uint>((float)(*(inIt++)));
+ cv::FileNode ftn = (*ftrs)[SC_F_RECT];
+ cv::FileNodeIterator r_it = ftn.begin();
+ uchar4 rect;
+ rect.x = saturate_cast<uchar>((int)*(r_it++));
+ rect.y = saturate_cast<uchar>((int)*(r_it++));
+ rect.z = saturate_cast<uchar>((int)*(r_it++));
+ rect.w = saturate_cast<uchar>((int)*(r_it++));
+
+ if (isUPOctave)
+ {
+ rect.z -= rect.x;
+ rect.w -= rect.y;
+ }
+
+ uint channel = saturate_cast<uint>((int)(*ftrs)[SC_F_CHANNEL]);
+ vnodes.push_back(Node(rect, channel, th));
+ ++ftrs;
+ }
+
+ fns = (*ftr)[SC_LEAF];
+ inIt = fns.begin(), inIt_end = fns.end();
+ for (; inIt != inIt_end; ++inIt)
+ vleaves.push_back((float)(*inIt));
+ }
+ }
+
+ feature_offset += octave.stages * 3;
+ ++octIndex;
+ }
+
+ cv::Mat hoctaves(1, voctaves.size() * sizeof(Octave), CV_8UC1, (uchar*)&(voctaves[0]));
+ CV_Assert(!hoctaves.empty());
+
+ cv::Mat hstages(cv::Mat(vstages).reshape(1,1));
+ CV_Assert(!hstages.empty());
+
+ cv::Mat hnodes(1, vnodes.size() * sizeof(Node), CV_8UC1, (uchar*)&(vnodes[0]) );
+ CV_Assert(!hnodes.empty());
+
+ cv::Mat hleaves(cv::Mat(vleaves).reshape(1,1));
+ CV_Assert(!hleaves.empty());
+
+ std::vector<Level> vlevels;
+ float logFactor = (::log(maxs) - ::log(mins)) / (TOTAL_SCALES -1);
+
+ float scale = mins;
+ int downscales = 0;
+ for (int sc = 0; sc < TOTAL_SCALES; ++sc)
+ {
+ int width = ::std::max(0.0f, FRAME_WIDTH - (origWidth * scale));
+ int height = ::std::max(0.0f, FRAME_HEIGHT - (origHeight * scale));
+
+ float logScale = ::log(scale);
+ int fit = fitOctave(voctaves, logScale);
+
+ Level level(fit, voctaves[fit], scale, width, height);
+ level.scaling[0] = CascadeIntrinsics::getFor(0, level.relScale);
+ level.scaling[1] = CascadeIntrinsics::getFor(9, level.relScale);
+
+ if (!width || !height)
+ break;
+ else
+ {
+ vlevels.push_back(level);
+ if (voctaves[fit].scale < 1) ++downscales;
+ }
+
+ if (::fabs(scale - maxs) < FLT_EPSILON) break;
+ scale = ::std::min(maxs, ::expf(::log(scale) + logFactor));
+
+ // std::cout << "level " << sc
+ // << " octeve "
+ // << vlevels[sc].octave
+ // << " relScale "
+ // << vlevels[sc].relScale
+ // << " " << vlevels[sc].shrScale
+ // << " [" << (int)vlevels[sc].objSize.x
+ // << " " << (int)vlevels[sc].objSize.y << "] ["
+ // << (int)vlevels[sc].workRect.x << " " << (int)vlevels[sc].workRect.y << "]" << std::endl;
+ }
+
+ cv::Mat hlevels(1, vlevels.size() * sizeof(Level), CV_8UC1, (uchar*)&(vlevels[0]) );
+ CV_Assert(!hlevels.empty());
+
+ Filds* filds = new Filds(mins, maxs, origWidth, origHeight, shrinkage, downscales,
+ hoctaves, hstages, hnodes, hleaves, hlevels);
+
+ return filds;
+ }
+
+ Filds( const float mins, const float maxs, const int ow, const int oh, const int shr, const int ds,
+ cv::Mat hoctaves, cv::Mat hstages, cv::Mat hnodes, cv::Mat hleaves, cv::Mat hlevels)
+ : minScale(mins), maxScale(maxs), origObjWidth(ow), origObjHeight(oh), shrinkage(shr), downscales(ds)
{
- FRAME_WIDTH = 640,
- FRAME_HEIGHT = 480,
- TOTAL_SCALES = 55,
- ORIG_OBJECT_WIDTH = 64,
- ORIG_OBJECT_HEIGHT = 128,
- HOG_BINS = 6,
- LUV_BINS = 3,
- HOG_LUV_BINS = 10
- };
+ plane.create(FRAME_HEIGHT * (HOG_LUV_BINS + 1), FRAME_WIDTH, CV_8UC1);
+ fplane.create(FRAME_HEIGHT * 6, FRAME_WIDTH, CV_32FC1);
+ luv.create(FRAME_HEIGHT, FRAME_WIDTH, CV_8UC3);
+ shrunk.create(FRAME_HEIGHT / shr * HOG_LUV_BINS, FRAME_WIDTH / shr, CV_8UC1);
+ integralBuffer.create(1 , (shrunk.rows + 1) * HOG_LUV_BINS * (shrunk.cols + 1), CV_32SC1);
+ hogluv.create((FRAME_HEIGHT / shr + 1) * HOG_LUV_BINS, FRAME_WIDTH / shr + 64, CV_32SC1);
+ detCounter.create(1,1, CV_32SC1);
+
+ octaves.upload(hoctaves);
+ stages.upload(hstages);
+ nodes.upload(hnodes);
+ leaves.upload(hleaves);
+ levels.upload(hlevels);
+
+ invoker = device::icf::CascadeInvoker<device::icf::CascadePolicy>(levels, octaves, stages, nodes, leaves);
+
+ }
- bool fill(const FileNode &root, const float mins, const float maxs);
void detect(int scale, const cv::gpu::GpuMat& roi, cv::gpu::GpuMat& objects, cudaStream_t stream) const
{
cudaMemset(detCounter.data, 0, detCounter.step * detCounter.rows * sizeof(int));
- // device::icf::CascadeInvoker<device::icf::CascadePolicy> invoker(levels, octaves, stages, nodes, leaves);
invoker(roi, hogluv, objects, detCounter, downscales, scale);
}
}
private:
- void calcLevels(const std::vector<device::icf::Octave>& octs,
- int frameW, int frameH, int nscales);
typedef std::vector<device::icf::Octave>::const_iterator octIt_t;
- int fitOctave(const std::vector<device::icf::Octave>& octs, const float& logFactor) const
+ static int fitOctave(const std::vector<device::icf::Octave>& octs, const float& logFactor)
{
float minAbsLog = FLT_MAX;
int res = 0;
cv::gpu::integralBuffered(channel, sum, integralBuffer);
}
}
-};
-
-bool cv::gpu::SoftCascade::Filds::fill(const FileNode &root, const float mins, const float maxs)
-{
- using namespace device::icf;
- minScale = mins;
- maxScale = maxs;
-
- // cascade properties
- static const char *const SC_STAGE_TYPE = "stageType";
- static const char *const SC_BOOST = "BOOST";
-
- static const char *const SC_FEATURE_TYPE = "featureType";
- static const char *const SC_ICF = "ICF";
-
- static const char *const SC_ORIG_W = "width";
- static const char *const SC_ORIG_H = "height";
-
- static const char *const SC_OCTAVES = "octaves";
- static const char *const SC_STAGES = "stages";
- static const char *const SC_FEATURES = "features";
-
- static const char *const SC_WEEK = "weakClassifiers";
- static const char *const SC_INTERNAL = "internalNodes";
- static const char *const SC_LEAF = "leafValues";
-
- static const char *const SC_OCT_SCALE = "scale";
- static const char *const SC_OCT_STAGES = "stageNum";
- static const char *const SC_OCT_SHRINKAGE = "shrinkingFactor";
-
- static const char *const SC_STAGE_THRESHOLD = "stageThreshold";
-
- static const char * const SC_F_CHANNEL = "channel";
- static const char * const SC_F_RECT = "rect";
-
- // only Ada Boost supported
- std::string stageTypeStr = (string)root[SC_STAGE_TYPE];
- CV_Assert(stageTypeStr == SC_BOOST);
-
- // only HOG-like integral channel features cupported
- string featureTypeStr = (string)root[SC_FEATURE_TYPE];
- CV_Assert(featureTypeStr == SC_ICF);
- origObjWidth = (int)root[SC_ORIG_W];
- CV_Assert(origObjWidth == ORIG_OBJECT_WIDTH);
+public:
- origObjHeight = (int)root[SC_ORIG_H];
- CV_Assert(origObjHeight == ORIG_OBJECT_HEIGHT);
-
- FileNode fn = root[SC_OCTAVES];
- if (fn.empty()) return false;
-
- std::vector<Octave> voctaves;
- std::vector<float> vstages;
- std::vector<Node> vnodes;
- std::vector<float> vleaves;
- scales.clear();
-
- FileNodeIterator it = fn.begin(), it_end = fn.end();
- int feature_offset = 0;
- ushort octIndex = 0;
- ushort shrinkage = 1;
-
- for (; it != it_end; ++it)
- {
- FileNode fns = *it;
- float scale = (float)fns[SC_OCT_SCALE];
-
- bool isUPOctave = scale >= 1;
-
- scales.push_back(scale);
- ushort nstages = saturate_cast<ushort>((int)fns[SC_OCT_STAGES]);
- ushort2 size;
- size.x = cvRound(ORIG_OBJECT_WIDTH * scale);
- size.y = cvRound(ORIG_OBJECT_HEIGHT * scale);
- shrinkage = saturate_cast<ushort>((int)fns[SC_OCT_SHRINKAGE]);
-
- Octave octave(octIndex, nstages, shrinkage, size, scale);
- CV_Assert(octave.stages > 0);
- voctaves.push_back(octave);
-
- FileNode ffs = fns[SC_FEATURES];
- if (ffs.empty()) return false;
-
- FileNodeIterator ftrs = ffs.begin();
-
- fns = fns[SC_STAGES];
- if (fn.empty()) return false;
-
- // for each stage (~ decision tree with H = 2)
- FileNodeIterator st = fns.begin(), st_end = fns.end();
- for (; st != st_end; ++st )
- {
- fns = *st;
- vstages.push_back((float)fns[SC_STAGE_THRESHOLD]);
+ // scales range
+ float minScale;
+ float maxScale;
- fns = fns[SC_WEEK];
- FileNodeIterator ftr = fns.begin(), ft_end = fns.end();
- for (; ftr != ft_end; ++ftr)
- {
- fns = (*ftr)[SC_INTERNAL];
- FileNodeIterator inIt = fns.begin(), inIt_end = fns.end();
- for (; inIt != inIt_end;)
- {
- // int feature = (int)(*(inIt +=2)) + feature_offset;
- inIt +=3;
- // extract feature, Todo:check it
- uint th = saturate_cast<uint>((float)(*(inIt++)));
- cv::FileNode ftn = (*ftrs)[SC_F_RECT];
- cv::FileNodeIterator r_it = ftn.begin();
- uchar4 rect;
- rect.x = saturate_cast<uchar>((int)*(r_it++));
- rect.y = saturate_cast<uchar>((int)*(r_it++));
- rect.z = saturate_cast<uchar>((int)*(r_it++));
- rect.w = saturate_cast<uchar>((int)*(r_it++));
-
- if (isUPOctave)
- {
- rect.z -= rect.x;
- rect.w -= rect.y;
- }
+ int origObjWidth;
+ int origObjHeight;
- uint channel = saturate_cast<uint>((int)(*ftrs)[SC_F_CHANNEL]);
- vnodes.push_back(Node(rect, channel, th));
- ++ftrs;
- }
+ const int shrinkage;
+ int downscales;
- fns = (*ftr)[SC_LEAF];
- inIt = fns.begin(), inIt_end = fns.end();
- for (; inIt != inIt_end; ++inIt)
- vleaves.push_back((float)(*inIt));
- }
- }
+ // preallocated buffer 640x480x10 for hogluv + 640x480 got gray
+ GpuMat plane;
- feature_offset += octave.stages * 3;
- ++octIndex;
- }
+ // preallocated buffer for floating point operations
+ GpuMat fplane;
- // upload in gpu memory
- octaves.upload(cv::Mat(1, voctaves.size() * sizeof(Octave), CV_8UC1, (uchar*)&(voctaves[0]) ));
- CV_Assert(!octaves.empty());
+ // temporial mat for cvtColor
+ GpuMat luv;
- stages.upload(cv::Mat(vstages).reshape(1,1));
- CV_Assert(!stages.empty());
+ // 160x120x10
+ GpuMat shrunk;
- nodes.upload(cv::Mat(1, vnodes.size() * sizeof(Node), CV_8UC1, (uchar*)&(vnodes[0]) ));
- CV_Assert(!nodes.empty());
+ // temporial mat for integrall
+ GpuMat integralBuffer;
- leaves.upload(cv::Mat(vleaves).reshape(1,1));
- CV_Assert(!leaves.empty());
+ // 161x121x10
+ GpuMat hogluv;
- // compute levels
- calcLevels(voctaves, FRAME_WIDTH, FRAME_HEIGHT, TOTAL_SCALES);
- CV_Assert(!levels.empty());
+ GpuMat detCounter;
- invoker = device::icf::CascadeInvoker<device::icf::CascadePolicy>(levels, octaves, stages, nodes, leaves);
+ // Cascade from xml
+ GpuMat octaves;
+ GpuMat stages;
+ GpuMat nodes;
+ GpuMat leaves;
+ GpuMat levels;
- return true;
-}
+ device::icf::CascadeInvoker<device::icf::CascadePolicy> invoker;
-namespace {
- struct CascadeIntrinsics
+ enum { BOOST = 0 };
+ enum
{
- static const float lambda = 1.099f, a = 0.89f;
-
- static float getFor(int channel, float scaling)
- {
- CV_Assert(channel < 10);
-
- if (fabs(scaling - 1.f) < FLT_EPSILON)
- return 1.f;
-
- // according to R. Benenson, M. Mathias, R. Timofte and L. Van Gool's and Dallal's papers
- static const float A[2][2] =
- { //channel <= 6, otherwise
- { 0.89f, 1.f}, // down
- { 1.00f, 1.f} // up
- };
-
- static const float B[2][2] =
- { //channel <= 6, otherwise
- { 1.099f / log(2), 2.f}, // down
- { 0.f, 2.f} // up
- };
-
- float a = A[(int)(scaling >= 1)][(int)(channel > 6)];
- float b = B[(int)(scaling >= 1)][(int)(channel > 6)];
-
- // printf("!!! scaling: %f %f %f -> %f\n", scaling, a, b, a * pow(scaling, b));
- return a * pow(scaling, b);
- }
+ FRAME_WIDTH = 640,
+ FRAME_HEIGHT = 480,
+ TOTAL_SCALES = 55,
+ ORIG_OBJECT_WIDTH = 64,
+ ORIG_OBJECT_HEIGHT = 128,
+ HOG_BINS = 6,
+ LUV_BINS = 3,
+ HOG_LUV_BINS = 10
};
-}
-
-inline void cv::gpu::SoftCascade::Filds::calcLevels(const std::vector<device::icf::Octave>& octs,
- int frameW, int frameH, int nscales)
-{
- CV_Assert(nscales > 1);
- using device::icf::Level;
-
- std::vector<Level> vlevels;
- float logFactor = (::log(maxScale) - ::log(minScale)) / (nscales -1);
-
- float scale = minScale;
- downscales = 0;
- for (int sc = 0; sc < nscales; ++sc)
- {
- int width = ::std::max(0.0f, frameW - (origObjWidth * scale));
- int height = ::std::max(0.0f, frameH - (origObjHeight * scale));
-
- float logScale = ::log(scale);
- int fit = fitOctave(octs, logScale);
-
- Level level(fit, octs[fit], scale, width, height);
- level.scaling[0] = CascadeIntrinsics::getFor(0, level.relScale);
- level.scaling[1] = CascadeIntrinsics::getFor(9, level.relScale);
-
- if (!width || !height)
- break;
- else
- {
- vlevels.push_back(level);
- if (octs[fit].scale < 1) ++downscales;
- }
-
- if (::fabs(scale - maxScale) < FLT_EPSILON) break;
- scale = ::std::min(maxScale, ::expf(::log(scale) + logFactor));
-
- // std::cout << "level " << sc
- // << " octeve "
- // << vlevels[sc].octave
- // << " relScale "
- // << vlevels[sc].relScale
- // << " " << vlevels[sc].shrScale
- // << " [" << (int)vlevels[sc].objSize.x
- // << " " << (int)vlevels[sc].objSize.y << "] ["
- // << (int)vlevels[sc].workRect.x << " " << (int)vlevels[sc].workRect.y << "]" << std::endl;
- }
-
- levels.upload(cv::Mat(1, vlevels.size() * sizeof(Level), CV_8UC1, (uchar*)&(vlevels[0]) ));
-}
+};
cv::gpu::SoftCascade::SoftCascade() : filds(0) {}
bool cv::gpu::SoftCascade::load( const string& filename, const float minScale, const float maxScale)
{
- if (filds)
- delete filds;
- filds = 0;
+ if (filds) delete filds;
cv::FileStorage fs(filename, FileStorage::READ);
if (!fs.isOpened()) return false;
- filds = new Filds;
- Filds& flds = *filds;
- if (!flds.fill(fs.getFirstTopLevelNode(), minScale, maxScale)) return false;
- return true;
+ filds = Filds::parseCascade(fs.getFirstTopLevelNode(), minScale, maxScale);
+ return filds != 0;
}
-//================================== synchronous version ============================================================//
-
void cv::gpu::SoftCascade::detectMultiScale(const GpuMat& colored, const GpuMat& rois,
GpuMat& objects, const int /*rejectfactor*/, int specificScale) const
{
cv::Size cv::gpu::SoftCascade::getRoiSize() const
{
- return cv::Size(Filds::FRAME_WIDTH / 4, Filds::FRAME_HEIGHT / 4);
+ return cv::Size(Filds::FRAME_WIDTH / (*filds).shrinkage, Filds::FRAME_HEIGHT / (*filds).shrinkage);
}
#endif
\ No newline at end of file
projects / profile / ivi / opencv.git / commitdiff