winSize 36 apps/traincascade/HOGfeatures.cpp integralHist.push_back( Mat(winSize.height + 1, winSize.width + 1, hist[bin].type(), hist[bin].ptr<float>((int)idx)) ); winSize 38 apps/traincascade/HOGfeatures.cpp Mat integralNorm(winSize.height + 1, winSize.width + 1, normSum.type(), normSum.ptr<float>((int)idx)); winSize 67 apps/traincascade/HOGfeatures.cpp int offset = winSize.width + 1; winSize 71 apps/traincascade/HOGfeatures.cpp for (t = 8; t <= winSize.width/2; t+=8) //t = size of a cell. blocksize = 4*cellSize winSize 76 apps/traincascade/HOGfeatures.cpp for (x = 0; x <= winSize.width - w; x += blockStep.width) winSize 78 apps/traincascade/HOGfeatures.cpp for (y = 0; y <= winSize.height - h; y += blockStep.height) winSize 85 apps/traincascade/HOGfeatures.cpp for (x = 0; x <= winSize.width - w; x += blockStep.width) winSize 87 apps/traincascade/HOGfeatures.cpp for (y = 0; y <= winSize.height - h; y += blockStep.height) winSize 94 apps/traincascade/HOGfeatures.cpp for (x = 0; x <= winSize.width - w; x += blockStep.width) winSize 96 apps/traincascade/HOGfeatures.cpp for (y = 0; y <= winSize.height - h; y += blockStep.height) winSize 36 apps/traincascade/cascadeclassifier.cpp fs << CC_HEIGHT << winSize.height; winSize 37 apps/traincascade/cascadeclassifier.cpp fs << CC_WIDTH << winSize.width; winSize 62 apps/traincascade/cascadeclassifier.cpp node[CC_HEIGHT] >> winSize.height; winSize 63 apps/traincascade/cascadeclassifier.cpp node[CC_WIDTH] >> winSize.width; winSize 64 apps/traincascade/cascadeclassifier.cpp return winSize.height > 0 && winSize.width > 0; winSize 87 apps/traincascade/cascadeclassifier.cpp cout << " [-w <sampleWidth = " << winSize.width << ">]" << endl; winSize 88 apps/traincascade/cascadeclassifier.cpp cout << " [-h <sampleHeight = " << winSize.height << ">]" << endl; winSize 95 apps/traincascade/cascadeclassifier.cpp cout << "sampleWidth: " << winSize.width << endl; winSize 96 apps/traincascade/cascadeclassifier.cpp cout << "sampleHeight: " << winSize.height << endl; winSize 116 apps/traincascade/cascadeclassifier.cpp winSize.width = atoi( val.c_str() ); winSize 120 apps/traincascade/cascadeclassifier.cpp winSize.height = atoi( val.c_str() ); winSize 156 apps/traincascade/cascadeclassifier.cpp if ( !imgReader.create( _posFilename, _negFilename, _cascadeParams.winSize ) ) winSize 170 apps/traincascade/cascadeclassifier.cpp featureEvaluator->init( featureParams, numPos + numNeg, cascadeParams.winSize ); winSize 323 apps/traincascade/cascadeclassifier.cpp Mat img(cascadeParams.winSize, CV_8UC1); winSize 448 apps/traincascade/cascadeclassifier.cpp fs << ICV_HAAR_SIZE_NAME << "[:" << cascadeParams.winSize.width << winSize 449 apps/traincascade/cascadeclassifier.cpp cascadeParams.winSize.height << "]"; winSize 526 apps/traincascade/cascadeclassifier.cpp featureEvaluator->init( featureParams, numPos + numNeg, cascadeParams.winSize ); winSize 82 apps/traincascade/cascadeclassifier.h cv::Size winSize; winSize 73 apps/traincascade/features.cpp winSize = _winSize; winSize 81 apps/traincascade/features.cpp CV_Assert(img.cols == winSize.width); winSize 82 apps/traincascade/features.cpp CV_Assert(img.rows == winSize.height); winSize 102 apps/traincascade/haarfeatures.cpp Mat innSum(winSize.height + 1, winSize.width + 1, sum.type(), sum.ptr<int>((int)idx)); winSize 103 apps/traincascade/haarfeatures.cpp Mat innTilted(winSize.height + 1, winSize.width + 1, tilted.type(), tilted.ptr<int>((int)idx)); winSize 123 apps/traincascade/haarfeatures.cpp int offset = winSize.width + 1; winSize 124 apps/traincascade/haarfeatures.cpp for( int x = 0; x < winSize.width; x++ ) winSize 126 apps/traincascade/haarfeatures.cpp for( int y = 0; y < winSize.height; y++ ) winSize 128 apps/traincascade/haarfeatures.cpp for( int dx = 1; dx <= winSize.width; dx++ ) winSize 130 apps/traincascade/haarfeatures.cpp for( int dy = 1; dy <= winSize.height; dy++ ) winSize 133 apps/traincascade/haarfeatures.cpp if ( (x+dx*2 <= winSize.width) && (y+dy <= winSize.height) ) winSize 140 apps/traincascade/haarfeatures.cpp if ( (x+dx <= winSize.width) && (y+dy*2 <= winSize.height) ) winSize 147 apps/traincascade/haarfeatures.cpp if ( (x+dx*3 <= winSize.width) && (y+dy <= winSize.height) ) winSize 154 apps/traincascade/haarfeatures.cpp if ( (x+dx <= winSize.width) && (y+dy*3 <= winSize.height) ) winSize 163 apps/traincascade/haarfeatures.cpp if ( (x+dx*4 <= winSize.width) && (y+dy <= winSize.height) ) winSize 170 apps/traincascade/haarfeatures.cpp if ( (x+dx <= winSize.width ) && (y+dy*4 <= winSize.height) ) winSize 178 apps/traincascade/haarfeatures.cpp if ( (x+dx*2 <= winSize.width) && (y+dy*2 <= winSize.height) ) winSize 187 apps/traincascade/haarfeatures.cpp if ( (x+dx*3 <= winSize.width) && (y+dy*3 <= winSize.height) ) winSize 197 apps/traincascade/haarfeatures.cpp if ( (x+2*dx <= winSize.width) && (y+2*dx+dy <= winSize.height) && (x-dy>= 0) ) winSize 204 apps/traincascade/haarfeatures.cpp if ( (x+dx <= winSize.width) && (y+dx+2*dy <= winSize.height) && (x-2*dy>= 0) ) winSize 211 apps/traincascade/haarfeatures.cpp if ( (x+3*dx <= winSize.width) && (y+3*dx+dy <= winSize.height) && (x-dy>= 0) ) winSize 218 apps/traincascade/haarfeatures.cpp if ( (x+dx <= winSize.width) && (y+dx+3*dy <= winSize.height) && (x-3*dy>= 0) ) winSize 225 apps/traincascade/haarfeatures.cpp if ( (x+4*dx <= winSize.width) && (y+4*dx+dy <= winSize.height) && (x-dy>= 0) ) winSize 232 apps/traincascade/haarfeatures.cpp if ( (x+dx <= winSize.width) && (y+dx+4*dy <= winSize.height) && (x-4*dy>= 0) ) winSize 45 apps/traincascade/imagestorage.cpp winSize = _winSize; winSize 62 apps/traincascade/imagestorage.cpp round = round % (winSize.width * winSize.height); winSize 65 apps/traincascade/imagestorage.cpp _offset.x = std::min( (int)round % winSize.width, src.cols - winSize.width ); winSize 66 apps/traincascade/imagestorage.cpp _offset.y = std::min( (int)round / winSize.width, src.rows - winSize.height ); winSize 75 apps/traincascade/imagestorage.cpp scale = max( ((float)winSize.width + point.x) / ((float)src.cols), winSize 76 apps/traincascade/imagestorage.cpp ((float)winSize.height + point.y) / ((float)src.rows) ); winSize 87 apps/traincascade/imagestorage.cpp CV_Assert( _img.cols == winSize.width ); winSize 88 apps/traincascade/imagestorage.cpp CV_Assert( _img.rows == winSize.height ); winSize 94 apps/traincascade/imagestorage.cpp Mat mat( winSize.height, winSize.width, CV_8UC1, winSize 98 apps/traincascade/imagestorage.cpp if( (int)( point.x + (1.0F + stepFactor ) * winSize.width ) < img.cols ) winSize 99 apps/traincascade/imagestorage.cpp point.x += (int)(stepFactor * winSize.width); winSize 103 apps/traincascade/imagestorage.cpp if( (int)( point.y + (1.0F + stepFactor ) * winSize.height ) < img.rows ) winSize 104 apps/traincascade/imagestorage.cpp point.y += (int)(stepFactor * winSize.height); winSize 46 apps/traincascade/imagestorage.h cv::Size winSize; winSize 26 apps/traincascade/lbpfeatures.cpp Mat innSum(winSize.height + 1, winSize.width + 1, sum.type(), sum.ptr<int>((int)idx)); winSize 37 apps/traincascade/lbpfeatures.cpp int offset = winSize.width + 1; winSize 38 apps/traincascade/lbpfeatures.cpp for( int x = 0; x < winSize.width; x++ ) winSize 39 apps/traincascade/lbpfeatures.cpp for( int y = 0; y < winSize.height; y++ ) winSize 40 apps/traincascade/lbpfeatures.cpp for( int w = 1; w <= winSize.width / 3; w++ ) winSize 41 apps/traincascade/lbpfeatures.cpp for( int h = 1; h <= winSize.height / 3; h++ ) winSize 42 apps/traincascade/lbpfeatures.cpp if ( (x+3*w <= winSize.width) && (y+3*h <= winSize.height) ) winSize 96 apps/traincascade/traincascade_features.h cv::Size winSize; winSize 56 modules/calib3d/perf/opencl/perf_stereobm.cpp const int n_disp = get<0>(GetParam()), winSize = get<1>(GetParam()); winSize 66 modules/calib3d/perf/opencl/perf_stereobm.cpp Ptr<StereoBM> bm = StereoBM::create( n_disp, winSize ); winSize 55 modules/calib3d/test/opencl/test_stereobm.cpp int winSize; winSize 62 modules/calib3d/test/opencl/test_stereobm.cpp winSize = GET_PARAM(1); winSize 82 modules/calib3d/test/opencl/test_stereobm.cpp Ptr<StereoBM> bm = StereoBM::create( n_disp, winSize); winSize 689 modules/calib3d/test/test_stereomatching.cpp int winSize; winSize 703 modules/calib3d/test/test_stereomatching.cpp String winSize = fn[i+3]; params.winSize = atoi(winSize.c_str()); winSize 720 modules/calib3d/test/test_stereomatching.cpp Ptr<StereoBM> bm = StereoBM::create( params.ndisp, params.winSize ); winSize 724 modules/calib3d/test/test_stereomatching.cpp return params.winSize/2; winSize 744 modules/calib3d/test/test_stereomatching.cpp int winSize; winSize 759 modules/calib3d/test/test_stereomatching.cpp String winSize = fn[i+3]; params.winSize = atoi(winSize.c_str()); winSize 773 modules/calib3d/test/test_stereomatching.cpp Ptr<StereoSGBM> sgbm = StereoSGBM::create( 0, params.ndisp, params.winSize, winSize 774 modules/calib3d/test/test_stereomatching.cpp 10*params.winSize*params.winSize, winSize 775 modules/calib3d/test/test_stereomatching.cpp 40*params.winSize*params.winSize, winSize 164 modules/cudaoptflow/include/opencv2/cudaoptflow.hpp virtual void setWinSize(Size winSize) = 0; winSize 176 modules/cudaoptflow/include/opencv2/cudaoptflow.hpp Size winSize = Size(21, 21), winSize 191 modules/cudaoptflow/include/opencv2/cudaoptflow.hpp virtual void setWinSize(Size winSize) = 0; winSize 203 modules/cudaoptflow/include/opencv2/cudaoptflow.hpp Size winSize = Size(13, 13), winSize 228 modules/cudaoptflow/include/opencv2/cudaoptflow.hpp virtual void setWinSize(int winSize) = 0; winSize 246 modules/cudaoptflow/include/opencv2/cudaoptflow.hpp int winSize = 13, winSize 115 modules/cudaoptflow/perf/perf_optflow.cpp const int winSize = GET_PARAM(3); winSize 139 modules/cudaoptflow/perf/perf_optflow.cpp cv::cuda::SparsePyrLKOpticalFlow::create(cv::Size(winSize, winSize), winSize 161 modules/cudaoptflow/perf/perf_optflow.cpp cv::Size(winSize, winSize), levels - 1, winSize 184 modules/cudaoptflow/perf/perf_optflow.cpp const int winSize = GET_PARAM(1); winSize 201 modules/cudaoptflow/perf/perf_optflow.cpp cv::cuda::DensePyrLKOpticalFlow::create(cv::Size(winSize, winSize), winSize 238 modules/cudaoptflow/perf/perf_optflow.cpp const int winSize = 13; winSize 251 modules/cudaoptflow/perf/perf_optflow.cpp cv::cuda::FarnebackOpticalFlow::create(numLevels, pyrScale, false, winSize, winSize 269 modules/cudaoptflow/perf/perf_optflow.cpp TEST_CYCLE() cv::calcOpticalFlowFarneback(frame0, frame1, flow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags); winSize 99 modules/cudaoptflow/src/farneback.cpp FarnebackOpticalFlowImpl(int numLevels, double pyrScale, bool fastPyramids, int winSize, winSize 101 modules/cudaoptflow/src/farneback.cpp numLevels_(numLevels), pyrScale_(pyrScale), fastPyramids_(fastPyramids), winSize_(winSize), winSize 116 modules/cudaoptflow/src/farneback.cpp virtual void setWinSize(int winSize) { winSize_ = winSize; } winSize 462 modules/cudaoptflow/src/farneback.cpp Ptr<FarnebackOpticalFlow> cv::cuda::FarnebackOpticalFlow::create(int numLevels, double pyrScale, bool fastPyramids, int winSize, winSize 465 modules/cudaoptflow/src/farneback.cpp return makePtr<FarnebackOpticalFlowImpl>(numLevels, pyrScale, fastPyramids, winSize, winSize 58 modules/cudaoptflow/src/pyrlk.cpp void loadConstants(int2 winSize, int iters, cudaStream_t stream); winSize 66 modules/cudaoptflow/src/pyrlk.cpp PtrStepSzf err, int2 winSize, cudaStream_t stream); winSize 74 modules/cudaoptflow/src/pyrlk.cpp PyrLKOpticalFlowBase(Size winSize, int maxLevel, int iters, bool useInitialFlow); winSize 92 modules/cudaoptflow/src/pyrlk.cpp PyrLKOpticalFlowBase::PyrLKOpticalFlowBase(Size winSize, int maxLevel, int iters, bool useInitialFlow) : winSize 93 modules/cudaoptflow/src/pyrlk.cpp winSize_(winSize), maxLevel_(maxLevel), iters_(iters), useInitialFlow_(useInitialFlow) winSize 97 modules/cudaoptflow/src/pyrlk.cpp void calcPatchSize(Size winSize, dim3& block, dim3& patch) winSize 99 modules/cudaoptflow/src/pyrlk.cpp if (winSize.width > 32 && winSize.width > 2 * winSize.height) winSize 110 modules/cudaoptflow/src/pyrlk.cpp patch.x = (winSize.width + block.x - 1) / block.x; winSize 111 modules/cudaoptflow/src/pyrlk.cpp patch.y = (winSize.height + block.y - 1) / block.y; winSize 269 modules/cudaoptflow/src/pyrlk.cpp SparsePyrLKOpticalFlowImpl(Size winSize, int maxLevel, int iters, bool useInitialFlow) : winSize 270 modules/cudaoptflow/src/pyrlk.cpp PyrLKOpticalFlowBase(winSize, maxLevel, iters, useInitialFlow) winSize 275 modules/cudaoptflow/src/pyrlk.cpp virtual void setWinSize(Size winSize) { winSize_ = winSize; } winSize 306 modules/cudaoptflow/src/pyrlk.cpp DensePyrLKOpticalFlowImpl(Size winSize, int maxLevel, int iters, bool useInitialFlow) : winSize 307 modules/cudaoptflow/src/pyrlk.cpp PyrLKOpticalFlowBase(winSize, maxLevel, iters, useInitialFlow) winSize 312 modules/cudaoptflow/src/pyrlk.cpp virtual void setWinSize(Size winSize) { winSize_ = winSize; } winSize 340 modules/cudaoptflow/src/pyrlk.cpp Ptr<SparsePyrLKOpticalFlow> cv::cuda::SparsePyrLKOpticalFlow::create(Size winSize, int maxLevel, int iters, bool useInitialFlow) winSize 342 modules/cudaoptflow/src/pyrlk.cpp return makePtr<SparsePyrLKOpticalFlowImpl>(winSize, maxLevel, iters, useInitialFlow); winSize 345 modules/cudaoptflow/src/pyrlk.cpp Ptr<DensePyrLKOpticalFlow> cv::cuda::DensePyrLKOpticalFlow::create(Size winSize, int maxLevel, int iters, bool useInitialFlow) winSize 347 modules/cudaoptflow/src/pyrlk.cpp return makePtr<DensePyrLKOpticalFlowImpl>(winSize, maxLevel, iters, useInitialFlow); winSize 1596 modules/imgproc/include/opencv2/imgproc.hpp Size winSize, Size zeroZone, winSize 2421 modules/imgproc/include/opencv2/imgproc.hpp CV_EXPORTS_W void createHanningWindow(OutputArray dst, Size winSize, int type); winSize 589 modules/imgproc/misc/java/test/ImgprocTest.java Size winSize = new Size(2, 2); winSize 593 modules/imgproc/misc/java/test/ImgprocTest.java Imgproc.cornerSubPix(img, corners, winSize, zeroZone, criteria); winSize 572 modules/imgproc/src/phasecorr.cpp void cv::createHanningWindow(OutputArray _dst, cv::Size winSize, int type) winSize 576 modules/imgproc/src/phasecorr.cpp _dst.create(winSize, type); winSize 345 modules/objdetect/include/opencv2/objdetect.hpp CV_WRAP HOGDescriptor() : winSize(64,128), blockSize(16,16), blockStride(8,8), winSize 356 modules/objdetect/include/opencv2/objdetect.hpp : winSize(_winSize), blockSize(_blockSize), blockStride(_blockStride), cellSize(_cellSize), winSize 421 modules/objdetect/include/opencv2/objdetect.hpp CV_PROP Size winSize; winSize 989 modules/objdetect/src/cascadedetect.cpp Size winSize(cvRound(origWinSize.width * scalingFactor), winSize 1006 modules/objdetect/src/cascadedetect.cpp winSize.width, winSize.height)); winSize 1017 modules/objdetect/src/cascadedetect.cpp winSize.width, winSize.height)); winSize 24 modules/objdetect/src/cascadedetect.hpp Size getWorkingSize(Size winSize) const winSize 26 modules/objdetect/src/cascadedetect.hpp return Size(std::max(szi.width - winSize.width, 0), winSize 27 modules/objdetect/src/cascadedetect.hpp std::max(szi.height - winSize.height, 0)); winSize 1308 modules/objdetect/src/haar.cpp Size winSize(cvRound(winSize0.width*factor), cvRound(winSize0.height*factor)); winSize 1365 modules/objdetect/src/haar.cpp winSize.width, winSize.height)); winSize 1389 modules/objdetect/src/haar.cpp winSize.width, winSize.height)); winSize 1401 modules/objdetect/src/haar.cpp winSize.width, winSize.height)); winSize 1574 modules/objdetect/src/haar.cpp CvSize winSize(cvRound(winSize0.width*factor), winSize 1588 modules/objdetect/src/haar.cpp if( winSize.width > maxSize.width || winSize.height > maxSize.height ) winSize 1590 modules/objdetect/src/haar.cpp if( winSize.width < minSize.width || winSize.height < minSize.height ) winSize 1661 modules/objdetect/src/haar.cpp CvSize winSize(cvRound( cascade->orig_window_size.width * factor ), winSize 1667 modules/objdetect/src/haar.cpp int endX = cvRound((img->cols - winSize.width) / ystep); winSize 1668 modules/objdetect/src/haar.cpp int endY = cvRound((img->rows - winSize.height) / ystep); winSize 1670 modules/objdetect/src/haar.cpp if( winSize.width < minSize.width || winSize.height < minSize.height ) winSize 1677 modules/objdetect/src/haar.cpp if ( winSize.width > maxSize.width || winSize.height > maxSize.height ) winSize 1689 modules/objdetect/src/haar.cpp equRect.x = cvRound(winSize.width*0.15); winSize 1690 modules/objdetect/src/haar.cpp equRect.y = cvRound(winSize.height*0.15); winSize 1691 modules/objdetect/src/haar.cpp equRect.width = cvRound(winSize.width*0.7); winSize 1692 modules/objdetect/src/haar.cpp equRect.height = cvRound(winSize.height*0.7); winSize 1713 modules/objdetect/src/haar.cpp endY = cvRound((scanROI.y + scanROI.height - winSize.height) / ystep); winSize 1716 modules/objdetect/src/haar.cpp endX = cvRound((scanROI.x + scanROI.width - winSize.width) / ystep); winSize 1720 modules/objdetect/src/haar.cpp cv::HaarDetectObjects_ScaleCascade_Invoker(cascade, winSize, cv::Range(startX, endX), winSize 91 modules/objdetect/src/hog.cpp CV_Assert((winSize.width - blockSize.width) % blockStride.width == 0 && winSize 92 modules/objdetect/src/hog.cpp (winSize.height - blockSize.height) % blockStride.height == 0 ); winSize 97 modules/objdetect/src/hog.cpp ((winSize.width - blockSize.width)/blockStride.width + 1)* winSize 98 modules/objdetect/src/hog.cpp ((winSize.height - blockSize.height)/blockStride.height + 1); winSize 122 modules/objdetect/src/hog.cpp cv::Size blocks_per_img = numPartsWithin(winSize, blockSize, blockStride); winSize 144 modules/objdetect/src/hog.cpp it >> winSize.width >> winSize.height; winSize 178 modules/objdetect/src/hog.cpp << "winSize" << winSize winSize 210 modules/objdetect/src/hog.cpp c.winSize = winSize; winSize 516 modules/objdetect/src/hog.cpp Size winSize; winSize 554 modules/objdetect/src/hog.cpp winSize = descriptor->winSize; winSize 561 modules/objdetect/src/hog.cpp nblocks = Size((winSize.width - blockSize.width)/blockStride.width + 1, winSize 562 modules/objdetect/src/hog.cpp (winSize.height - blockSize.height)/blockStride.height + 1); winSize 569 modules/objdetect/src/hog.cpp (winSize.height/cacheStride.height)+1); winSize 1058 modules/objdetect/src/hog.cpp return Size((imageSize.width - winSize.width)/winStride.width + 1, winSize 1059 modules/objdetect/src/hog.cpp (imageSize.height - winSize.height)/winStride.height + 1); winSize 1064 modules/objdetect/src/hog.cpp int nwindowsX = (imageSize.width - winSize.width)/winStride.width + 1; winSize 1067 modules/objdetect/src/hog.cpp return Rect( x*winStride.width, y*winStride.height, winSize.width, winSize.height ); winSize 1327 modules/objdetect/src/hog.cpp Size cellSize, int nbins, Size blockStride, Size winSize, float sigma, bool gammaCorrection, double L2HysThreshold, bool signedGradient) winSize 1340 modules/objdetect/src/hog.cpp Size wins_per_img = numPartsWithin(imgSize, winSize, win_stride); winSize 1366 modules/objdetect/src/hog.cpp Size blocks_per_win = numPartsWithin(winSize, blockSize, blockStride); winSize 1367 modules/objdetect/src/hog.cpp wins_per_img = numPartsWithin(effect_size, winSize, win_stride); winSize 1376 modules/objdetect/src/hog.cpp if(!ocl_extract_descrs_by_rows(winSize.height, winSize.width, winSize 1382 modules/objdetect/src/hog.cpp if(!ocl_extract_descrs_by_cols(winSize.height, winSize.width, winSize 1412 modules/objdetect/src/hog.cpp cellSize, nbins, blockStride, winSize, (float)getWinSigma(), gammaCorrection, L2HysThreshold, signedGradient)) winSize 1436 modules/objdetect/src/hog.cpp if( pt0.x < -padding.width || pt0.x > img.cols + padding.width - winSize.width || winSize 1437 modules/objdetect/src/hog.cpp pt0.y < -padding.height || pt0.y > img.rows + padding.height - winSize.height ) winSize 1502 modules/objdetect/src/hog.cpp if( pt0.x < -padding.width || pt0.x > img.cols + padding.width - winSize.width || winSize 1503 modules/objdetect/src/hog.cpp pt0.y < -padding.height || pt0.y > img.rows + padding.height - winSize.height ) winSize 1601 modules/objdetect/src/hog.cpp Size scaledWinSize = Size(cvRound(hog->winSize.width*scale), cvRound(hog->winSize.height*scale)); winSize 1725 modules/objdetect/src/hog.cpp const UMat& oclSvmDetector, Size blockSize, Size cellSize, int nbins, Size blockStride, Size winSize, winSize 1742 modules/objdetect/src/hog.cpp Size wins_per_img = numPartsWithin(imgSize, winSize, win_stride); winSize 1768 modules/objdetect/src/hog.cpp Size blocks_per_win = numPartsWithin(winSize, blockSize, blockStride); winSize 1772 modules/objdetect/src/hog.cpp if(!ocl_classify_hists(winSize.height, winSize.width, blockStride.height, winSize 1795 modules/objdetect/src/hog.cpp int nbins, Size blockStride, Size winSize, bool gammaCorrection, winSize 1811 modules/objdetect/src/hog.cpp blockStride, winSize, gammaCorrection, L2HysThreshold, sigma, free_coef, signedGradient)) winSize 1818 modules/objdetect/src/hog.cpp blockStride, winSize, gammaCorrection, L2HysThreshold, sigma, free_coef, signedGradient)) winSize 1821 modules/objdetect/src/hog.cpp Size scaled_win_size(cvRound(winSize.width * scale), winSize 1822 modules/objdetect/src/hog.cpp cvRound(winSize.height * scale)); winSize 1847 modules/objdetect/src/hog.cpp if( cvRound(imgSize.width/scale) < winSize.width || winSize 1848 modules/objdetect/src/hog.cpp cvRound(imgSize.height/scale) < winSize.height || winSize 1862 modules/objdetect/src/hog.cpp blockSize, cellSize, nbins, blockStride, winSize, gammaCorrection, L2HysThreshold, (float)getWinSigma(), free_coef, signedGradient)); winSize 1882 modules/objdetect/src/hog.cpp groupRectangles_meanshift(foundLocations, foundWeights, foundScales, finalThreshold, winSize); winSize 3307 modules/objdetect/src/hog.cpp Size scaledWinSize = Size(cvRound(hog->winSize.width*scale), cvRound(hog->winSize.height*scale)); winSize 3368 modules/objdetect/src/hog.cpp if( pt0.x < -padding.width || pt0.x > img.cols + padding.width - winSize.width || winSize 3369 modules/objdetect/src/hog.cpp pt0.y < -padding.height || pt0.y > img.rows + padding.height - winSize.height ) winSize 64 modules/objdetect/test/opencl/test_hogdetector.cpp Size winSize; winSize 70 modules/objdetect/test/opencl/test_hogdetector.cpp winSize = GET_PARAM(0); winSize 88 modules/objdetect/test/opencl/test_hogdetector.cpp OCL_OFF(hog.compute(img, cpu_descriptors, hog.winSize)); winSize 89 modules/objdetect/test/opencl/test_hogdetector.cpp OCL_ON(hog.compute(uimg, gpu_descriptors, hog.winSize)); winSize 99 modules/objdetect/test/opencl/test_hogdetector.cpp hog.winSize = winSize; winSize 102 modules/objdetect/test/opencl/test_hogdetector.cpp if (winSize.width == 48 && winSize.height == 96) winSize 621 modules/objdetect/test/test_cascadeandhog.cpp Size winSize, cacheStride; winSize 658 modules/objdetect/test/test_cascadeandhog.cpp winSize = descriptor->winSize; winSize 665 modules/objdetect/test/test_cascadeandhog.cpp nblocks = Size((winSize.width - blockSize.width)/blockStride.width + 1, winSize 666 modules/objdetect/test/test_cascadeandhog.cpp (winSize.height - blockSize.height)/blockStride.height + 1); winSize 673 modules/objdetect/test/test_cascadeandhog.cpp (winSize.height/cacheStride.height)+1); winSize 983 modules/objdetect/test/test_cascadeandhog.cpp return Size((imageSize.width - winSize.width)/winStride.width + 1, winSize 984 modules/objdetect/test/test_cascadeandhog.cpp (imageSize.height - winSize.height)/winStride.height + 1); winSize 989 modules/objdetect/test/test_cascadeandhog.cpp int nwindowsX = (imageSize.width - winSize.width)/winStride.width + 1; winSize 992 modules/objdetect/test/test_cascadeandhog.cpp return Rect( x*winStride.width, y*winStride.height, winSize.width, winSize.height ); winSize 1042 modules/objdetect/test/test_cascadeandhog.cpp if( pt0.x < -padding.width || pt0.x > img.cols + padding.width - winSize.width || winSize 1043 modules/objdetect/test/test_cascadeandhog.cpp pt0.y < -padding.height || pt0.y > img.rows + padding.height - winSize.height ) winSize 1144 modules/objdetect/test/test_cascadeandhog.cpp if( pt0.x < -padding.width || pt0.x > img.cols + padding.width - winSize.width || winSize 1145 modules/objdetect/test/test_cascadeandhog.cpp pt0.y < -padding.height || pt0.y > img.rows + padding.height - winSize.height ) winSize 1348 modules/objdetect/test/test_cascadeandhog.cpp Size ssize(rng.uniform(1, 10) * actual_hog.winSize.width, winSize 1349 modules/objdetect/test/test_cascadeandhog.cpp rng.uniform(1, 10) * actual_hog.winSize.height); winSize 121 modules/video/include/opencv2/video/tracking.hpp Size winSize, int maxLevel, bool withDerivatives = true, winSize 176 modules/video/include/opencv2/video/tracking.hpp Size winSize = Size(21,21), int maxLevel = 3, winSize 83 modules/video/perf/opencl/perf_optflow_farneback.cpp const int winSize = 13; winSize 101 modules/video/perf/opencl/perf_optflow_farneback.cpp cv::calcOpticalFlowFarneback(uFrame0, uFrame1, uFlow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags); winSize 106 modules/video/perf/opencl/perf_optflow_farneback.cpp cv::calcOpticalFlowFarneback(uFrame0, uFrame1, uFlow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags); winSize 76 modules/video/perf/opencl/perf_optflow_pyrlk.cpp const Size winSize = Size(21, 21); winSize 93 modules/video/perf/opencl/perf_optflow_pyrlk.cpp cv::calcOpticalFlowPyrLK(uFrame0, uFrame1, pts, uNextPts, uStatus, uErr, winSize, maxLevel, criteria, flags, minEigThreshold); winSize 50 modules/video/perf/perf_optflowpyrlk.cpp int winSize = get<4>(GetParam()); winSize 91 modules/video/perf/perf_optflowpyrlk.cpp Size(winSize, winSize), maxLevel, criteria, winSize 123 modules/video/perf/perf_optflowpyrlk.cpp int winSize = get<4>(GetParam()); winSize 162 modules/video/perf/perf_optflowpyrlk.cpp maxLevel = buildOpticalFlowPyramid(frame1, pyramid1, Size(winSize, winSize), maxLevel, withDerivatives); winSize 163 modules/video/perf/perf_optflowpyrlk.cpp maxLevel = buildOpticalFlowPyramid(frame2, pyramid2, Size(winSize, winSize), maxLevel, withDerivatives); winSize 172 modules/video/perf/perf_optflowpyrlk.cpp Size(winSize, winSize), maxLevel, criteria, winSize 196 modules/video/perf/perf_optflowpyrlk.cpp Size winSize(get<1>(GetParam()), get<1>(GetParam())); winSize 208 modules/video/perf/perf_optflowpyrlk.cpp img.adjustROI(winSize.height, winSize.height, winSize.width, winSize.width); winSize 210 modules/video/perf/perf_optflowpyrlk.cpp int maxLevel = buildOpticalFlowPyramid(img, pyramid, winSize, 1000, withDerivatives, BORDER_CONSTANT, BORDER_CONSTANT, tryReuseInputImage); winSize 217 modules/video/perf/perf_optflowpyrlk.cpp buildOpticalFlowPyramid(img, pyramid, winSize, maxLevel, withDerivatives, pyrBorder, derivBorder, tryReuseInputImage); winSize 268 modules/video/src/compat_video.cpp int count, CvSize winSize, int level, winSize 286 modules/video/src/compat_video.cpp winSize, level, criteria, flags); winSize 208 modules/video/src/lkpyramid.cpp winSize = _winSize; winSize 226 modules/video/src/lkpyramid.cpp Point2f halfWin((winSize.width-1)*0.5f, (winSize.height-1)*0.5f); winSize 232 modules/video/src/lkpyramid.cpp cv::AutoBuffer<deriv_type> _buf(winSize.area()*(cn + cn2)); winSize 235 modules/video/src/lkpyramid.cpp Mat IWinBuf(winSize, CV_MAKETYPE(derivDepth, cn), (deriv_type*)_buf); winSize 236 modules/video/src/lkpyramid.cpp Mat derivIWinBuf(winSize, CV_MAKETYPE(derivDepth, cn2), (deriv_type*)_buf + winSize.area()*cn); winSize 258 modules/video/src/lkpyramid.cpp if( iprevPt.x < -winSize.width || iprevPt.x >= derivI.cols || winSize 259 modules/video/src/lkpyramid.cpp iprevPt.y < -winSize.height || iprevPt.y >= derivI.rows ) winSize 312 modules/video/src/lkpyramid.cpp for( y = 0; y < winSize.height; y++ ) winSize 323 modules/video/src/lkpyramid.cpp for( ; x <= winSize.width*cn - 4; x += 4, dsrc += 4*2, dIptr += 4*2 ) winSize 364 modules/video/src/lkpyramid.cpp for( ; x <= winSize.width*cn - 4; x += 4, dsrc += 4*2, dIptr += 4*2 ) winSize 447 modules/video/src/lkpyramid.cpp for( ; x < winSize.width*cn; x++, dsrc += 2, dIptr += 2 ) winSize 488 modules/video/src/lkpyramid.cpp 4.f*A12*A12))/(2*winSize.width*winSize.height); winSize 510 modules/video/src/lkpyramid.cpp if( inextPt.x < -winSize.width || inextPt.x >= J.cols || winSize 511 modules/video/src/lkpyramid.cpp inextPt.y < -winSize.height || inextPt.y >= J.rows ) winSize 542 modules/video/src/lkpyramid.cpp for( y = 0; y < winSize.height; y++ ) winSize 551 modules/video/src/lkpyramid.cpp for( ; x <= winSize.width*cn - 8; x += 8, dIptr += 8*2 ) winSize 586 modules/video/src/lkpyramid.cpp for( ; x <= winSize.width*cn - 8; x += 8, dIptr += 8*2 ) winSize 657 modules/video/src/lkpyramid.cpp for( ; x < winSize.width*cn; x++, dIptr += 2 ) winSize 710 modules/video/src/lkpyramid.cpp if( inextPoint.x < -winSize.width || inextPoint.x >= J.cols || winSize 711 modules/video/src/lkpyramid.cpp inextPoint.y < -winSize.height || inextPoint.y >= J.rows ) winSize 726 modules/video/src/lkpyramid.cpp for( y = 0; y < winSize.height; y++ ) winSize 731 modules/video/src/lkpyramid.cpp for( x = 0; x < winSize.width*cn; x++ ) winSize 739 modules/video/src/lkpyramid.cpp err[ptidx] = errval * 1.f/(32*winSize.width*cn*winSize.height); winSize 744 modules/video/src/lkpyramid.cpp int cv::buildOpticalFlowPyramid(InputArray _img, OutputArrayOfArrays pyramid, Size winSize, int maxLevel, bool withDerivatives, winSize 748 modules/video/src/lkpyramid.cpp CV_Assert(img.depth() == CV_8U && winSize.width > 2 && winSize.height > 2 ); winSize 762 modules/video/src/lkpyramid.cpp if (ofs.x >= winSize.width && ofs.y >= winSize.height winSize 763 modules/video/src/lkpyramid.cpp && ofs.x + img.cols + winSize.width <= wholeSize.width winSize 764 modules/video/src/lkpyramid.cpp && ofs.y + img.rows + winSize.height <= wholeSize.height) winSize 776 modules/video/src/lkpyramid.cpp temp.adjustROI(winSize.height, winSize.height, winSize.width, winSize.width); winSize 777 modules/video/src/lkpyramid.cpp if(temp.type() != img.type() || temp.cols != winSize.width*2 + img.cols || temp.rows != winSize.height * 2 + img.rows) winSize 778 modules/video/src/lkpyramid.cpp temp.create(img.rows + winSize.height*2, img.cols + winSize.width*2, img.type()); winSize 781 modules/video/src/lkpyramid.cpp img.copyTo(temp(Rect(winSize.width, winSize.height, img.cols, img.rows))); winSize 783 modules/video/src/lkpyramid.cpp copyMakeBorder(img, temp, winSize.height, winSize.height, winSize.width, winSize.width, pyrBorder); winSize 784 modules/video/src/lkpyramid.cpp temp.adjustROI(-winSize.height, -winSize.height, -winSize.width, -winSize.width); winSize 798 modules/video/src/lkpyramid.cpp temp.adjustROI(winSize.height, winSize.height, winSize.width, winSize.width); winSize 799 modules/video/src/lkpyramid.cpp if(temp.type() != img.type() || temp.cols != winSize.width*2 + sz.width || temp.rows != winSize.height * 2 + sz.height) winSize 800 modules/video/src/lkpyramid.cpp temp.create(sz.height + winSize.height*2, sz.width + winSize.width*2, img.type()); winSize 802 modules/video/src/lkpyramid.cpp thisLevel = temp(Rect(winSize.width, winSize.height, sz.width, sz.height)); winSize 806 modules/video/src/lkpyramid.cpp copyMakeBorder(thisLevel, temp, winSize.height, winSize.height, winSize.width, winSize.width, pyrBorder|BORDER_ISOLATED); winSize 807 modules/video/src/lkpyramid.cpp temp.adjustROI(-winSize.height, -winSize.height, -winSize.width, -winSize.width); winSize 815 modules/video/src/lkpyramid.cpp deriv.adjustROI(winSize.height, winSize.height, winSize.width, winSize.width); winSize 816 modules/video/src/lkpyramid.cpp if(deriv.type() != derivType || deriv.cols != winSize.width*2 + sz.width || deriv.rows != winSize.height * 2 + sz.height) winSize 817 modules/video/src/lkpyramid.cpp deriv.create(sz.height + winSize.height*2, sz.width + winSize.width*2, derivType); winSize 819 modules/video/src/lkpyramid.cpp Mat derivI = deriv(Rect(winSize.width, winSize.height, sz.width, sz.height)); winSize 823 modules/video/src/lkpyramid.cpp copyMakeBorder(derivI, deriv, winSize.height, winSize.height, winSize.width, winSize.width, derivBorder|BORDER_ISOLATED); winSize 824 modules/video/src/lkpyramid.cpp deriv.adjustROI(-winSize.height, -winSize.height, -winSize.width, -winSize.width); winSize 828 modules/video/src/lkpyramid.cpp if( sz.width <= winSize.width || sz.height <= winSize.height ) winSize 852 modules/video/src/lkpyramid.cpp winSize = Size(21, 21); winSize 868 modules/video/src/lkpyramid.cpp if (maxLevel < 0 || winSize.width <= 2 || winSize.height <= 2) winSize 933 modules/video/src/lkpyramid.cpp Size winSize; winSize 958 modules/video/src/lkpyramid.cpp if (winSize.width > 32 && winSize.width > 2 * winSize.height) winSize 969 modules/video/src/lkpyramid.cpp patch.x = (winSize.width + block.x - 1) / block.x; winSize 970 modules/video/src/lkpyramid.cpp patch.y = (winSize.height + block.y - 1) / block.y; winSize 1008 modules/video/src/lkpyramid.cpp idxArg = kernel.set(idxArg, (int)winSize.width); // int c_winSize_x winSize 1009 modules/video/src/lkpyramid.cpp idxArg = kernel.set(idxArg, (int)winSize.height); // int c_winSize_y winSize 1025 modules/video/src/lkpyramid.cpp Size winSize, int maxLevel, winSize 1063 modules/video/src/lkpyramid.cpp opticalFlow.winSize = winSize; winSize 1091 modules/video/src/lkpyramid.cpp Size winSize, int maxLevel, winSize 1098 modules/video/src/lkpyramid.cpp if ( use_opencl && ocl_calcOpticalFlowPyrLK(_prevImg, _nextImg, _prevPts, _nextPts, _status, _err, winSize, maxLevel, criteria, flags/*, minEigThreshold*/)) winSize 1107 modules/video/src/lkpyramid.cpp CV_Assert( maxLevel >= 0 && winSize.width > 2 && winSize.height > 2 ); winSize 1171 modules/video/src/lkpyramid.cpp CV_Assert(ofs.x >= winSize.width && ofs.y >= winSize.height winSize 1172 modules/video/src/lkpyramid.cpp && ofs.x + prevPyr[lvlStep1].cols + winSize.width <= fullSize.width winSize 1173 modules/video/src/lkpyramid.cpp && ofs.y + prevPyr[lvlStep1].rows + winSize.height <= fullSize.height); winSize 1199 modules/video/src/lkpyramid.cpp CV_Assert(ofs.x >= winSize.width && ofs.y >= winSize.height winSize 1200 modules/video/src/lkpyramid.cpp && ofs.x + nextPyr[lvlStep2].cols + winSize.width <= fullSize.width winSize 1201 modules/video/src/lkpyramid.cpp && ofs.y + nextPyr[lvlStep2].rows + winSize.height <= fullSize.height); winSize 1209 modules/video/src/lkpyramid.cpp maxLevel = buildOpticalFlowPyramid(_prevImg, prevPyr, winSize, maxLevel, false); winSize 1212 modules/video/src/lkpyramid.cpp maxLevel = buildOpticalFlowPyramid(_nextImg, nextPyr, winSize, maxLevel, false); winSize 1227 modules/video/src/lkpyramid.cpp derivIBuf.create(prevPyr[0].rows + winSize.height*2, prevPyr[0].cols + winSize.width*2, CV_MAKETYPE(derivDepth, prevPyr[0].channels() * 2)); winSize 1235 modules/video/src/lkpyramid.cpp Mat _derivI( imgSize.height + winSize.height*2, winSize 1236 modules/video/src/lkpyramid.cpp imgSize.width + winSize.width*2, derivIBuf.type(), derivIBuf.ptr() ); winSize 1237 modules/video/src/lkpyramid.cpp derivI = _derivI(Rect(winSize.width, winSize.height, imgSize.width, imgSize.height)); winSize 1239 modules/video/src/lkpyramid.cpp copyMakeBorder(derivI, _derivI, winSize.height, winSize.height, winSize.width, winSize.width, BORDER_CONSTANT|BORDER_ISOLATED); winSize 1256 modules/video/src/lkpyramid.cpp winSize, criteria, level, maxLevel, winSize 27 modules/video/src/lkpyramid.hpp Size winSize; winSize 596 modules/video/src/optflowgf.cpp winSize = 13; winSize 606 modules/video/src/optflowgf.cpp int winSize; winSize 755 modules/video/src/optflowgf.cpp setGaussianBlurKernel(winSize, winSize/2*0.3f); winSize 760 modules/video/src/optflowgf.cpp if (!updateFlow_gaussianBlur(R[0], R[1], curFlowX, curFlowY, M, bufM, winSize, i < numIters-1)) winSize 765 modules/video/src/optflowgf.cpp if (!updateFlow_boxFilter(R[0], R[1], curFlowX, curFlowY, M, bufM, winSize, i < numIters-1)) winSize 1057 modules/video/src/optflowgf.cpp opticalFlow.winSize = winsize; winSize 65 modules/video/test/ocl/test_optflow_farneback.cpp int winSize; winSize 75 modules/video/test/ocl/test_optflow_farneback.cpp winSize = 13; winSize 97 modules/video/test/ocl/test_optflow_farneback.cpp OCL_ON(cv::calcOpticalFlowFarneback(frame0, frame1, uflow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags)); winSize 101 modules/video/test/ocl/test_optflow_farneback.cpp OCL_OFF(cv::calcOpticalFlowFarneback(frame0, frame1, flow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags)); winSize 102 modules/video/test/ocl/test_optflow_farneback.cpp OCL_ON(cv::calcOpticalFlowFarneback(frame0, frame1, uflow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags)); winSize 60 modules/video/test/ocl/test_optflowpyrlk.cpp Size winSize; winSize 68 modules/video/test/ocl/test_optflowpyrlk.cpp winSize = Size(GET_PARAM(0), GET_PARAM(0)); winSize 95 modules/video/test/ocl/test_optflowpyrlk.cpp OCL_OFF(cv::calcOpticalFlowPyrLK(frame0, frame1, pts, cpuNextPts, cpuStatusCPU, cpuErr, winSize, maxLevel, criteria, flags, minEigThreshold)); winSize 98 modules/video/test/ocl/test_optflowpyrlk.cpp OCL_ON(cv::calcOpticalFlowPyrLK(umatFrame0, umatFrame1, pts, umatNextPts, umatStatus, umatErr, winSize, maxLevel, criteria, flags, minEigThreshold)); winSize 44 samples/cpp/lkdemo.cpp Size subPixWinSize(10,10), winSize(31,31); winSize 92 samples/cpp/lkdemo.cpp calcOpticalFlowPyrLK(prevGray, gray, points[0], points[1], status, err, winSize, winSize 119 samples/cpp/lkdemo.cpp cornerSubPix( gray, tmp, winSize, Size(-1,-1), termcrit); winSize 295 samples/cpp/train_HOG.cpp hog.winSize = size; winSize 360 samples/cpp/train_HOG.cpp my_hog.winSize = size; winSize 95 samples/cpp/tutorial_code/TrackingMotion/cornerSubPix_Demo.cpp Size winSize = Size( 5, 5 ); winSize 100 samples/cpp/tutorial_code/TrackingMotion/cornerSubPix_Demo.cpp cornerSubPix( src_gray, corners, winSize, zeroZone, criteria ); winSize 112 samples/gpu/pyrlk_optical_flow.cpp int winSize = cmd.get<int>("win_size"); winSize 152 samples/gpu/pyrlk_optical_flow.cpp Size(winSize, winSize), maxLevel, iters);