fixed bug in cv::gpu::HOGDescriptor::detectMultiScale
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7a858885e6
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@ -175,18 +175,18 @@ void cv::gpu::HOGDescriptor::setSVMDetector(const vector<float>& _detector)
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cv::gpu::GpuMat cv::gpu::HOGDescriptor::getBuffer(const Size& sz, int type, GpuMat& buf)
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{
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if (buf.empty() || buf.type() != type)
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buf.create(sz, type);
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else
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if (buf.cols < sz.width || buf.rows < sz.height)
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buf.create(std::max(buf.rows, sz.height), std::max(buf.cols, sz.width), type);
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if (buf.empty() || buf.type() != type)
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buf.create(sz, type);
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else
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if (buf.cols < sz.width || buf.rows < sz.height)
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buf.create(std::max(buf.rows, sz.height), std::max(buf.cols, sz.width), type);
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return buf(Rect(Point(0,0), sz));
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return buf(Rect(Point(0,0), sz));
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}
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cv::gpu::GpuMat cv::gpu::HOGDescriptor::getBuffer(int rows, int cols, int type, GpuMat& buf)
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{
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return getBuffer(Size(cols, rows), type, buf);
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return getBuffer(Size(cols, rows), type, buf);
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}
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@ -202,7 +202,7 @@ void cv::gpu::HOGDescriptor::computeGradient(const GpuMat& img, GpuMat& _grad, G
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float angleScale = (float)(nbins / CV_PI);
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switch (img.type())
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{
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{
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case CV_8UC1:
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hog::compute_gradients_8UC1(nbins, img.rows, img.cols, img, angleScale, _grad, _qangle, gamma_correction);
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break;
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@ -220,11 +220,11 @@ void cv::gpu::HOGDescriptor::computeBlockHistograms(const GpuMat& img)
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size_t block_hist_size = getBlockHistogramSize();
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Size blocks_per_img = numPartsWithin(img.size(), block_size, block_stride);
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// block_hists.create(1, block_hist_size * blocks_per_img.area(), CV_32F);
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block_hists = getBuffer(1, static_cast<int>(block_hist_size * blocks_per_img.area()), CV_32F, block_hists_buf);
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// block_hists.create(1, block_hist_size * blocks_per_img.area(), CV_32F);
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block_hists = getBuffer(1, static_cast<int>(block_hist_size * blocks_per_img.area()), CV_32F, block_hists_buf);
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hog::compute_hists(nbins, block_stride.width, block_stride.height, img.rows, img.cols,
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grad, qangle, (float)getWinSigma(), block_hists.ptr<float>());
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grad, qangle, (float)getWinSigma(), block_hists.ptr<float>());
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hog::normalize_hists(nbins, block_stride.width, block_stride.height, img.rows, img.cols,
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block_hists.ptr<float>(), (float)threshold_L2hys);
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@ -277,7 +277,7 @@ void cv::gpu::HOGDescriptor::detect(const GpuMat& img, vector<Point>& hits, doub
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Size wins_per_img = numPartsWithin(img.size(), win_size, win_stride);
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// labels.create(1, wins_per_img.area(), CV_8U);
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labels = getBuffer(1, wins_per_img.area(), CV_8U, labels_buf);
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labels = getBuffer(1, wins_per_img.area(), CV_8U, labels_buf);
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hog::classify_hists(win_size.height, win_size.width, block_stride.height, block_stride.width,
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win_stride.height, win_stride.width, img.rows, img.cols, block_hists.ptr<float>(),
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@ -297,10 +297,10 @@ void cv::gpu::HOGDescriptor::detect(const GpuMat& img, vector<Point>& hits, doub
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void cv::gpu::HOGDescriptor::detectMultiScale(const GpuMat& img, vector<Rect>& found_locations, double hit_threshold,
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Size win_stride, Size padding, double scale0, int group_threshold)
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Size win_stride, Size padding, double scale0, int group_threshold)
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{
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CV_Assert(img.type() == CV_8UC1 || img.type() == CV_8UC4);
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CV_Assert(img.type() == CV_8UC1 || img.type() == CV_8UC4);
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vector<double> level_scale;
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double scale = 1.;
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@ -316,15 +316,15 @@ void cv::gpu::HOGDescriptor::detectMultiScale(const GpuMat& img, vector<Rect>& f
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}
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levels = std::max(levels, 1);
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level_scale.resize(levels);
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image_scales.resize(levels);
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image_scales.resize(levels);
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std::vector<Rect> all_candidates;
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vector<Point> locations;
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for (size_t i = 0; i < level_scale.size(); i++)
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{
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double _scale = level_scale[i];
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Size sz(cvRound(img.cols / _scale), cvRound(img.rows / _scale));
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scale = level_scale[i];
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Size sz(cvRound(img.cols / scale), cvRound(img.rows / scale));
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GpuMat smaller_img;
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if (sz == img.size())
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@ -333,11 +333,11 @@ void cv::gpu::HOGDescriptor::detectMultiScale(const GpuMat& img, vector<Rect>& f
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{
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image_scales[i].create(sz, img.type());
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switch (img.type())
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{
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{
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case CV_8UC1: hog::resize_8UC1(img, image_scales[i]); break;
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case CV_8UC4: hog::resize_8UC4(img, image_scales[i]); break;
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}
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smaller_img = image_scales[i];
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smaller_img = image_scales[i];
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}
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detect(smaller_img, locations, hit_threshold, win_stride, padding);
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