~paparazzi-uav/paparazzi/v5.0-manual

static const func_t funcs[4] = { nlm_bruteforce_gpu<uchar>, nlm_bruteforce_gpu<uchar2>, nlm_bruteforce_gpu<uchar3>, 0/*nlm_bruteforce_gpu<uchar4>,*/ };

const GpuMat src = _src.getGpuMat();

CV_Assert(src.type() == CV_8U || src.type() == CV_8UC2 || src.type() == CV_8UC3);

const func_t func = funcs[src.channels() - 1];

CV_Assert(func != 0);

int b = borderMode;

CV_Assert(b == BORDER_REFLECT101 || b == BORDER_REPLICATE || b == BORDER_CONSTANT || b == BORDER_REFLECT || b == BORDER_WRAP);

_dst.create(src.size(), src.type());

GpuMat dst = _dst.getGpuMat();

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func(src, dst, search_window/2, block_window/2, h, borderMode, StreamAccessor::getStream(stream));

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}

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namespace cv { namespace cuda { namespace device

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{

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namespace imgproc

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{

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void nln_fast_get_buffer_size(const PtrStepSzb& src, int search_window, int block_window, int& buffer_cols, int& buffer_rows);

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template<typename T>

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void nlm_fast_gpu(const PtrStepSzb& src, PtrStepSzb dst, PtrStepi buffer,

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int search_window, int block_window, float h, cudaStream_t stream);

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void fnlm_split_channels(const PtrStepSz<uchar3>& lab, PtrStepb l, PtrStep<uchar2> ab, cudaStream_t stream);

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void fnlm_merge_channels(const PtrStepb& l, const PtrStep<uchar2>& ab, PtrStepSz<uchar3> lab, cudaStream_t stream);

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}

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}}}

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void cv::cuda::fastNlMeansDenoising(InputArray _src, OutputArray _dst, float h, int search_window, int block_window, Stream& stream)

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{

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const GpuMat src = _src.getGpuMat();

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CV_Assert(src.depth() == CV_8U && src.channels() < 4);

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int border_size = search_window/2 + block_window/2;

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Size esize = src.size() + Size(border_size, border_size) * 2;

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BufferPool pool(stream);

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GpuMat extended_src = pool.getBuffer(esize, src.type());

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cv::cuda::copyMakeBorder(src, extended_src, border_size, border_size, border_size, border_size, cv::BORDER_DEFAULT, Scalar(), stream);

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GpuMat src_hdr = extended_src(Rect(Point2i(border_size, border_size), src.size()));

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int bcols, brows;

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device::imgproc::nln_fast_get_buffer_size(src_hdr, search_window, block_window, bcols, brows);

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GpuMat buffer = pool.getBuffer(brows, bcols, CV_32S);

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using namespace cv::cuda::device::imgproc;

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typedef void (*nlm_fast_t)(const PtrStepSzb&, PtrStepSzb, PtrStepi, int, int, float, cudaStream_t);

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static const nlm_fast_t funcs[] = { nlm_fast_gpu<uchar>, nlm_fast_gpu<uchar2>, nlm_fast_gpu<uchar3>, 0};

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_dst.create(src.size(), src.type());

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GpuMat dst = _dst.getGpuMat();

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funcs[src.channels()-1](src_hdr, dst, buffer, search_window, block_window, h, StreamAccessor::getStream(stream));

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}

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void cv::cuda::fastNlMeansDenoisingColored(InputArray _src, OutputArray _dst, float h_luminance, float h_color, int search_window, int block_window, Stream& stream)

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{

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const GpuMat src = _src.getGpuMat();

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CV_Assert(src.type() == CV_8UC3);

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BufferPool pool(stream);

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GpuMat lab = pool.getBuffer(src.size(), src.type());

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cv::cuda::cvtColor(src, lab, cv::COLOR_BGR2Lab, 0, stream);

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GpuMat l = pool.getBuffer(src.size(), CV_8U);

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GpuMat ab = pool.getBuffer(src.size(), CV_8UC2);

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device::imgproc::fnlm_split_channels(lab, l, ab, StreamAccessor::getStream(stream));

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fastNlMeansDenoising(l, l, h_luminance, search_window, block_window, stream);

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fastNlMeansDenoising(ab, ab, h_color, search_window, block_window, stream);

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device::imgproc::fnlm_merge_channels(l, ab, lab, StreamAccessor::getStream(stream));

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cv::cuda::cvtColor(lab, _dst, cv::COLOR_Lab2BGR, 0, stream);

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}

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#endif

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