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b2b6f52d14
* G-API: Addressed various documentation issues - Fixed various typos and missing references; - Added brief documentaion on G_TYPED_KERNEL and G_COMPOUND_KERNEL macros; - Briefly described GComputationT<>; - Briefly described G-API data objects (in a group section). * G-API: Some clean-ups in doxygen, also a chapter on Render API * G-API: Expose more graph compilation arguments in the documentation * G-API: Address documentation review comments
123 lines
3.9 KiB
C++
123 lines
3.9 KiB
C++
#include <opencv2/videoio.hpp>
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#include <opencv2/highgui.hpp>
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#include <opencv2/gapi.hpp>
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#include <opencv2/gapi/core.hpp>
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#include <opencv2/gapi/imgproc.hpp>
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#include <opencv2/gapi/cpu/gcpukernel.hpp>
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#include <opencv2/gapi/fluid/core.hpp>
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#include <opencv2/gapi/fluid/imgproc.hpp>
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static void typed_example()
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{
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const cv::Size sz(32, 32);
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cv::Mat
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in_mat1 (sz, CV_8UC1),
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in_mat2 (sz, CV_8UC1),
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out_mat_untyped(sz, CV_8UC1),
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out_mat_typed1 (sz, CV_8UC1),
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out_mat_typed2 (sz, CV_8UC1);
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cv::randu(in_mat1, cv::Scalar::all(0), cv::Scalar::all(255));
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cv::randu(in_mat2, cv::Scalar::all(0), cv::Scalar::all(255));
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//! [Untyped_Example]
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// Untyped G-API ///////////////////////////////////////////////////////////
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cv::GComputation cvtU([]()
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{
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cv::GMat in1, in2;
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cv::GMat out = cv::gapi::add(in1, in2);
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return cv::GComputation({in1, in2}, {out});
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});
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std::vector<cv::Mat> u_ins = {in_mat1, in_mat2};
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std::vector<cv::Mat> u_outs = {out_mat_untyped};
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cvtU.apply(u_ins, u_outs);
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//! [Untyped_Example]
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//! [Typed_Example]
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// Typed G-API /////////////////////////////////////////////////////////////
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cv::GComputationT<cv::GMat (cv::GMat, cv::GMat)> cvtT([](cv::GMat m1, cv::GMat m2)
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{
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return m1+m2;
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});
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cvtT.apply(in_mat1, in_mat2, out_mat_typed1);
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auto cvtTC = cvtT.compile(cv::descr_of(in_mat1), cv::descr_of(in_mat2));
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cvtTC(in_mat1, in_mat2, out_mat_typed2);
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//! [Typed_Example]
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}
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G_TYPED_KERNEL(IAdd, <cv::GMat(cv::GMat)>, "test.custom.add") {
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static cv::GMatDesc outMeta(const cv::GMatDesc &in) { return in; }
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};
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G_TYPED_KERNEL(IFilter2D, <cv::GMat(cv::GMat)>, "test.custom.filter2d") {
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static cv::GMatDesc outMeta(const cv::GMatDesc &in) { return in; }
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};
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G_TYPED_KERNEL(IRGB2YUV, <cv::GMat(cv::GMat)>, "test.custom.add") {
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static cv::GMatDesc outMeta(const cv::GMatDesc &in) { return in; }
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};
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GAPI_OCV_KERNEL(CustomAdd, IAdd) { static void run(cv::Mat, cv::Mat &) {} };
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GAPI_OCV_KERNEL(CustomFilter2D, IFilter2D) { static void run(cv::Mat, cv::Mat &) {} };
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GAPI_OCV_KERNEL(CustomRGB2YUV, IRGB2YUV) { static void run(cv::Mat, cv::Mat &) {} };
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int main(int argc, char *argv[])
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{
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if (argc < 3)
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return -1;
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cv::Mat input = cv::imread(argv[1]);
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cv::Mat output;
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{
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//! [graph_def]
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cv::GMat in;
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cv::GMat gx = cv::gapi::Sobel(in, CV_32F, 1, 0);
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cv::GMat gy = cv::gapi::Sobel(in, CV_32F, 0, 1);
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cv::GMat g = cv::gapi::sqrt(cv::gapi::mul(gx, gx) + cv::gapi::mul(gy, gy));
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cv::GMat out = cv::gapi::convertTo(g, CV_8U);
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//! [graph_def]
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//! [graph_decl_apply]
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//! [graph_cap_full]
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cv::GComputation sobelEdge(cv::GIn(in), cv::GOut(out));
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//! [graph_cap_full]
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sobelEdge.apply(input, output);
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//! [graph_decl_apply]
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//! [apply_with_param]
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cv::gapi::GKernelPackage kernels = cv::gapi::combine
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(cv::gapi::core::fluid::kernels(),
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cv::gapi::imgproc::fluid::kernels());
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sobelEdge.apply(input, output, cv::compile_args(kernels));
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//! [apply_with_param]
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//! [graph_cap_sub]
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cv::GComputation sobelEdgeSub(cv::GIn(gx, gy), cv::GOut(out));
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//! [graph_cap_sub]
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}
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//! [graph_gen]
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cv::GComputation sobelEdgeGen([](){
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cv::GMat in;
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cv::GMat gx = cv::gapi::Sobel(in, CV_32F, 1, 0);
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cv::GMat gy = cv::gapi::Sobel(in, CV_32F, 0, 1);
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cv::GMat g = cv::gapi::sqrt(cv::gapi::mul(gx, gx) + cv::gapi::mul(gy, gy));
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cv::GMat out = cv::gapi::convertTo(g, CV_8U);
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return cv::GComputation(in, out);
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});
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//! [graph_gen]
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cv::imwrite(argv[2], output);
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//! [kernels_snippet]
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cv::gapi::GKernelPackage pkg = cv::gapi::kernels
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< CustomAdd
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, CustomFilter2D
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, CustomRGB2YUV
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>();
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//! [kernels_snippet]
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// Just call typed example with no input/output
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typed_example();
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return 0;
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}
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