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integral channel storage are cached as a cascade's field
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@ -54,79 +54,93 @@
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namespace icf {
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struct Cascade
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using cv::gpu::PtrStepSzb;
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using cv::gpu::PtrStepSzf;
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struct Cascade
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{
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Cascade() {}
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Cascade(const cv::gpu::PtrStepSzb& octs, const cv::gpu::PtrStepSzf& sts, const cv::gpu::PtrStepSzb& nds,
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const cv::gpu::PtrStepSzf& lvs, const cv::gpu::PtrStepSzb& fts, const cv::gpu::PtrStepSzb& lls)
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: octaves(octs), stages(sts), nodes(nds), leaves(lvs), features(fts), levels(lls) {}
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PtrStepSzb octaves;
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PtrStepSzf stages;
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PtrStepSzb nodes;
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PtrStepSzf leaves;
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PtrStepSzb features;
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PtrStepSzb levels;
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};
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struct ChannelStorage
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{
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ChannelStorage(){}
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ChannelStorage(const cv::gpu::PtrStepSzb& buff, const cv::gpu::PtrStepSzb& shr,
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const cv::gpu::PtrStepSzb& itg, const int s)
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: dmem (buff), shrunk(shr), hogluv(itg), shrinkage(s) {}
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void frame(const cv::gpu::PtrStepSzb& image) {}
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PtrStepSzb dmem;
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PtrStepSzb shrunk;
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PtrStepSzb hogluv;
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int shrinkage;
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};
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struct __align__(16) Octave
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{
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ushort index;
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ushort stages;
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ushort shrinkage;
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ushort2 size;
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float scale;
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Octave(const ushort i, const ushort s, const ushort sh, const ushort2 sz, const float sc)
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: index(i), stages(s), shrinkage(sh), size(sz), scale(sc) {}
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};
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struct __align__(8) Node
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{
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int feature;
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float threshold;
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Node(const int f, const float t) : feature(f), threshold(t) {}
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};
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struct __align__(8) Feature
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{
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int channel;
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uchar4 rect;
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Feature(const int c, const uchar4 r) : channel(c), rect(r) {}
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};
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struct __align__(8) Level //is actually 24 bytes
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{
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int octave;
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// float origScale; //not actually used
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float relScale;
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float shrScale; // used for marking detection
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float scaling[2]; // calculated according to Dollal paper
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// for 640x480 we can not get overflow
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uchar2 workRect;
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uchar2 objSize;
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Level(int idx, const Octave& oct, const float scale, const int w, const int h)
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: octave(idx), relScale(scale / oct.scale), shrScale (relScale / (float)oct.shrinkage)
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{
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Cascade() {}
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Cascade(const cv::gpu::PtrStepSzb& octs, const cv::gpu::PtrStepSzf& sts, const cv::gpu::PtrStepSzb& nds,
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const cv::gpu::PtrStepSzf& lvs, const cv::gpu::PtrStepSzb& fts, const cv::gpu::PtrStepSzb& lls)
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: octaves(octs), stages(sts), nodes(nds), leaves(lvs), features(fts), levels(lls) {}
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workRect.x = round(w / (float)oct.shrinkage);
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workRect.y = round(h / (float)oct.shrinkage);
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cv::gpu::PtrStepSzb octaves;
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cv::gpu::PtrStepSzf stages;
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cv::gpu::PtrStepSzb nodes;
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cv::gpu::PtrStepSzf leaves;
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cv::gpu::PtrStepSzb features;
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cv::gpu::PtrStepSzb levels;
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};
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struct ChannelStorage
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{
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ChannelStorage(const cv::gpu::PtrStepSzb& /*f*/, const int /*shrinkage*/) {}
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};
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struct __align__(16) Octave
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{
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ushort index;
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ushort stages;
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ushort shrinkage;
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ushort2 size;
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float scale;
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Octave(const ushort i, const ushort s, const ushort sh, const ushort2 sz, const float sc)
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: index(i), stages(s), shrinkage(sh), size(sz), scale(sc) {}
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};
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struct __align__(8) Node
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{
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int feature;
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float threshold;
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Node(const int f, const float t) : feature(f), threshold(t) {}
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};
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struct __align__(8) Feature
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{
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int channel;
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uchar4 rect;
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Feature(const int c, const uchar4 r) : channel(c), rect(r) {}
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};
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struct __align__(8) Level //is actually 24 bytes
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{
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int octave;
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// float origScale; //not actually used
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float relScale;
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float shrScale; // used for marking detection
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float scaling[2]; // calculated according to Dollal paper
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// for 640x480 we can not get overflow
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uchar2 workRect;
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uchar2 objSize;
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Level(int idx, const Octave& oct, const float scale, const int w, const int h)
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: octave(idx), relScale(scale / oct.scale), shrScale (relScale / (float)oct.shrinkage)
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{
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workRect.x = round(w / (float)oct.shrinkage);
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workRect.y = round(h / (float)oct.shrinkage);
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objSize.x = round(oct.size.x * relScale);
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objSize.y = round(oct.size.y * relScale);
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}
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};
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objSize.x = round(oct.size.x * relScale);
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objSize.y = round(oct.size.y * relScale);
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}
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};
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}
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#endif
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@ -84,9 +84,10 @@ struct cv::gpu::SoftCascade::Filds
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std::vector<float> scales;
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icf::Cascade cascade;
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icf::ChannelStorage storage;
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bool fill(const FileNode &root, const float mins, const float maxs);
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void detect(const icf::ChannelStorage& /*channels*/) const {}
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void detect() const {}
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enum { BOOST = 0 };
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enum
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@ -281,6 +282,7 @@ inline bool cv::gpu::SoftCascade::Filds::fill(const FileNode &root, const float
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shrunk.create(FRAME_HEIGHT / shrinkage * HOG_LUV_BINS, FRAME_WIDTH / shrinkage, CV_8UC1);
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hogluv.create( (FRAME_HEIGHT / shrinkage * HOG_LUV_BINS) + 1, (FRAME_WIDTH / shrinkage) + 1, CV_16UC1);
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storage = icf::ChannelStorage(dmem, shrunk, hogluv, shrinkage);
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return true;
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}
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@ -398,13 +400,10 @@ void cv::gpu::SoftCascade::detectMultiScale(const GpuMat& image, const GpuMat& /
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// only this window size allowed
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CV_Assert(image.cols == 640 && image.rows == 480);
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Filds& flds = *filds;
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// ToDo: add shrincage in whole cascade.
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const int shrincage = 4;
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icf::ChannelStorage storage(image, shrincage);
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const Filds& flds = *filds;
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flds.detect(storage);
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flds.storage.frame(image);
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flds.detect();
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}
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#endif
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