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Open Source Computer Vision Library
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158 lines
4.7 KiB
158 lines
4.7 KiB
6 years ago
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// [filter2d_api]
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#include <opencv2/gapi.hpp>
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G_TYPED_KERNEL(GFilter2D,
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<cv::GMat(cv::GMat,int,cv::Mat,cv::Point,double,int,cv::Scalar)>,
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"org.opencv.imgproc.filters.filter2D")
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{
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static cv::GMatDesc // outMeta's return value type
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outMeta(cv::GMatDesc in , // descriptor of input GMat
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int ddepth , // depth parameter
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cv::Mat /* coeffs */, // (unused)
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cv::Point /* anchor */, // (unused)
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double /* scale */, // (unused)
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int /* border */, // (unused)
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cv::Scalar /* bvalue */ ) // (unused)
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{
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return in.withDepth(ddepth);
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}
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};
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// [filter2d_api]
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cv::GMat filter2D(cv::GMat ,
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int ,
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cv::Mat ,
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cv::Point ,
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double ,
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int ,
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cv::Scalar);
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// [filter2d_wrap]
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cv::GMat filter2D(cv::GMat in,
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int ddepth,
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cv::Mat k,
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cv::Point anchor = cv::Point(-1,-1),
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double scale = 0.,
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int border = cv::BORDER_DEFAULT,
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cv::Scalar bval = cv::Scalar(0))
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{
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return GFilter2D::on(in, ddepth, k, anchor, scale, border, bval);
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}
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// [filter2d_wrap]
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// [compound]
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#include <opencv2/gapi/gcompoundkernel.hpp> // GAPI_COMPOUND_KERNEL()
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using PointArray2f = cv::GArray<cv::Point2f>;
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G_TYPED_KERNEL(HarrisCorners,
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<PointArray2f(cv::GMat,int,double,double,int,double)>,
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"org.opencv.imgproc.harris_corner")
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{
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static cv::GArrayDesc outMeta(const cv::GMatDesc &,
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int,
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double,
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double,
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int,
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double)
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{
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// No special metadata for arrays in G-API (yet)
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return cv::empty_array_desc();
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}
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};
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// Define Fluid-backend-local kernels which form GoodFeatures
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G_TYPED_KERNEL(HarrisResponse,
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<cv::GMat(cv::GMat,double,int,double)>,
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"org.opencv.fluid.harris_response")
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{
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static cv::GMatDesc outMeta(const cv::GMatDesc &in,
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double,
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int,
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double)
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{
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return in.withType(CV_32F, 1);
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}
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};
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G_TYPED_KERNEL(ArrayNMS,
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<PointArray2f(cv::GMat,int,double)>,
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"org.opencv.cpu.nms_array")
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{
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static cv::GArrayDesc outMeta(const cv::GMatDesc &,
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int,
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double)
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{
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return cv::empty_array_desc();
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}
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};
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GAPI_COMPOUND_KERNEL(GFluidHarrisCorners, HarrisCorners)
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{
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static PointArray2f
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expand(cv::GMat in,
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int maxCorners,
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double quality,
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double minDist,
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int blockSize,
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double k)
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{
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cv::GMat response = HarrisResponse::on(in, quality, blockSize, k);
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return ArrayNMS::on(response, maxCorners, minDist);
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}
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};
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// Then implement HarrisResponse as Fluid kernel and NMSresponse
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// as a generic (OpenCV) kernel
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// [compound]
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// [filter2d_ocv]
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#include <opencv2/gapi/cpu/gcpukernel.hpp> // GAPI_OCV_KERNEL()
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#include <opencv2/imgproc.hpp> // cv::filter2D()
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GAPI_OCV_KERNEL(GCPUFilter2D, GFilter2D)
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{
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static void
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run(const cv::Mat &in, // in - derived from GMat
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const int ddepth, // opaque (passed as-is)
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const cv::Mat &k, // opaque (passed as-is)
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const cv::Point &anchor, // opaque (passed as-is)
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const double delta, // opaque (passed as-is)
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const int border, // opaque (passed as-is)
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const cv::Scalar &, // opaque (passed as-is)
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cv::Mat &out) // out - derived from GMat (retval)
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{
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cv::filter2D(in, out, ddepth, k, anchor, delta, border);
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}
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};
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// [filter2d_ocv]
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int main(int, char *[])
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{
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std::cout << "This sample is non-complete. It is used as code snippents in documentation." << std::endl;
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cv::Mat conv_kernel_mat;
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{
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// [filter2d_on]
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cv::GMat in;
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cv::GMat out = GFilter2D::on(/* GMat */ in,
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/* int */ -1,
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/* Mat */ conv_kernel_mat,
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/* Point */ cv::Point(-1,-1),
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/* double */ 0.,
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/* int */ cv::BORDER_DEFAULT,
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/* Scalar */ cv::Scalar(0));
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// [filter2d_on]
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}
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{
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// [filter2d_wrap_call]
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cv::GMat in;
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cv::GMat out = filter2D(in, -1, conv_kernel_mat);
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// [filter2d_wrap_call]
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}
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return 0;
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}
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