bin                21 apps/traincascade/HOGfeatures.cpp     for (int bin = 0; bin < N_BINS; bin++)
bin                34 apps/traincascade/HOGfeatures.cpp     for (int bin = 0; bin < N_BINS; bin++)
bin                36 apps/traincascade/HOGfeatures.cpp         integralHist.push_back( Mat(winSize.height + 1, winSize.width + 1, hist[bin].type(), hist[bin].ptr<float>((int)idx)) );
bin               238 modules/core/src/alloc.cpp         binIdx = mallocTables.bin(objSize);
bin               354 modules/core/src/alloc.cpp             Block *bin = bins[i][START], *block = bin;
bin               374 modules/core/src/alloc.cpp                 while( block != bin );
bin               499 modules/core/src/alloc.cpp     int idx = mallocTables.bin(size);
bin               153 modules/core/src/cuda_info.cpp         std::vector<int> bin;
bin               162 modules/core/src/cuda_info.cpp         fromStr(CUDA_ARCH_BIN, bin);
bin               179 modules/core/src/cuda_info.cpp         return std::find(bin.begin(), bin.end(), major * 10 + minor) != bin.end();
bin               194 modules/core/src/cuda_info.cpp         return !bin.empty() && (bin.back() >= major * 10 + minor);
bin              3556 modules/core/src/ocl.cpp         const uchar* bin = (uchar*)(pos3+1);
bin              3561 modules/core/src/ocl.cpp                                            &codelen, &bin, &binstatus, &retval);
bin              3664 modules/core/src/ocl.cpp bool Program::read(const String& bin, const String& buildflags)
bin              3668 modules/core/src/ocl.cpp     p = new Impl(bin, buildflags);
bin              3672 modules/core/src/ocl.cpp bool Program::write(String& bin) const
bin              3676 modules/core/src/ocl.cpp     bin = p->store();
bin              3677 modules/core/src/ocl.cpp     return !bin.empty();
bin               160 samples/cpp/train_HOG.cpp             for (int bin=0; bin<gradientBinSize; bin++)
bin               161 samples/cpp/train_HOG.cpp                 gradientStrengths[y][x][bin] = 0.0;
bin               193 samples/cpp/train_HOG.cpp                 for (int bin=0; bin<gradientBinSize; bin++)
bin               198 samples/cpp/train_HOG.cpp                     gradientStrengths[celly][cellx][bin] += gradientStrength;
bin               224 samples/cpp/train_HOG.cpp             for (int bin=0; bin<gradientBinSize; bin++)
bin               226 samples/cpp/train_HOG.cpp                 gradientStrengths[celly][cellx][bin] /= NrUpdatesForThisCell;
bin               245 samples/cpp/train_HOG.cpp             for (int bin=0; bin<gradientBinSize; bin++)
bin               247 samples/cpp/train_HOG.cpp                 float currentGradStrength = gradientStrengths[celly][cellx][bin];
bin               253 samples/cpp/train_HOG.cpp                 float currRad = bin * radRangeForOneBin + radRangeForOneBin/2;