added different win_stride values feature into gpu HOG, refactored gpu HOG sample
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@@ -73,9 +73,10 @@ void compute_hists(int nbins, int block_stride_x, int blovck_stride_y,
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void normalize_hists(int nbins, int block_stride_x, int block_stride_y,
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int height, int width, float* block_hists, float threshold);
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void classify_hists(int win_height, int win_width, int block_stride_x,
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int block_stride_y, int height, int width, float* block_hists,
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float* coefs, float free_coef, float threshold, unsigned char* labels);
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void classify_hists(int win_height, int win_width, int block_stride_y,
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int block_stride_x, int win_stride_y, int win_stride_x, int height,
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int width, float* block_hists, float* coefs, float free_coef,
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float threshold, unsigned char* labels);
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void compute_gradients_8UC1(int nbins, int height, int width, const cv::gpu::DevMem2D& img,
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float angle_scale, cv::gpu::DevMem2Df grad, cv::gpu::DevMem2D qangle);
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@@ -209,7 +210,8 @@ void cv::gpu::HOGDescriptor::detect(const GpuMat& img, vector<Point>& hits, doub
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if (win_stride == Size())
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win_stride = block_stride;
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else
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CV_Assert(win_stride == block_stride);
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CV_Assert(win_stride.width % block_stride.width == 0 &&
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win_stride.height % block_stride.height == 0);
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CV_Assert(padding == Size(0, 0));
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@@ -229,8 +231,8 @@ void cv::gpu::HOGDescriptor::detect(const GpuMat& img, vector<Point>& hits, doub
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block_hists.ptr<float>(), (float)threshold_L2hys);
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hog::classify_hists(win_size.height, win_size.width, block_stride.height, block_stride.width,
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img.rows, img.cols, block_hists.ptr<float>(), detector.ptr<float>(),
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(float)free_coef, (float)hit_threshold, labels.ptr());
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win_stride.height, win_stride.width, img.rows, img.cols, block_hists.ptr<float>(),
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detector.ptr<float>(), (float)free_coef, (float)hit_threshold, labels.ptr());
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labels.download(labels_host);
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unsigned char* vec = labels_host.ptr();
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