Open Source Computer Vision Library https://opencv.org/
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#include <opencv2/videoio.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/gapi.hpp>
#include <opencv2/gapi/core.hpp>
#include <opencv2/gapi/imgproc.hpp>
#include <opencv2/gapi/cpu/gcpukernel.hpp>
#include <opencv2/gapi/fluid/core.hpp>
#include <opencv2/gapi/fluid/imgproc.hpp>
static void typed_example()
{
const cv::Size sz(32, 32);
cv::Mat
in_mat1 (sz, CV_8UC1),
in_mat2 (sz, CV_8UC1),
out_mat_untyped(sz, CV_8UC1),
out_mat_typed1 (sz, CV_8UC1),
out_mat_typed2 (sz, CV_8UC1);
cv::randu(in_mat1, cv::Scalar::all(0), cv::Scalar::all(255));
cv::randu(in_mat2, cv::Scalar::all(0), cv::Scalar::all(255));
//! [Untyped_Example]
// Untyped G-API ///////////////////////////////////////////////////////////
cv::GComputation cvtU([]()
{
cv::GMat in1, in2;
cv::GMat out = cv::gapi::add(in1, in2);
return cv::GComputation({in1, in2}, {out});
});
std::vector<cv::Mat> u_ins = {in_mat1, in_mat2};
std::vector<cv::Mat> u_outs = {out_mat_untyped};
cvtU.apply(u_ins, u_outs);
//! [Untyped_Example]
//! [Typed_Example]
// Typed G-API /////////////////////////////////////////////////////////////
cv::GComputationT<cv::GMat (cv::GMat, cv::GMat)> cvtT([](cv::GMat m1, cv::GMat m2)
{
return m1+m2;
});
cvtT.apply(in_mat1, in_mat2, out_mat_typed1);
auto cvtTC = cvtT.compile(cv::descr_of(in_mat1), cv::descr_of(in_mat2));
cvtTC(in_mat1, in_mat2, out_mat_typed2);
//! [Typed_Example]
}
G_TYPED_KERNEL(IAdd, <cv::GMat(cv::GMat)>, "test.custom.add") {
static cv::GMatDesc outMeta(const cv::GMatDesc &in) { return in; }
};
G_TYPED_KERNEL(IFilter2D, <cv::GMat(cv::GMat)>, "test.custom.filter2d") {
static cv::GMatDesc outMeta(const cv::GMatDesc &in) { return in; }
};
G_TYPED_KERNEL(IRGB2YUV, <cv::GMat(cv::GMat)>, "test.custom.add") {
static cv::GMatDesc outMeta(const cv::GMatDesc &in) { return in; }
};
GAPI_OCV_KERNEL(CustomAdd, IAdd) { static void run(cv::Mat, cv::Mat &) {} };
GAPI_OCV_KERNEL(CustomFilter2D, IFilter2D) { static void run(cv::Mat, cv::Mat &) {} };
GAPI_OCV_KERNEL(CustomRGB2YUV, IRGB2YUV) { static void run(cv::Mat, cv::Mat &) {} };
int main(int argc, char *argv[])
{
if (argc < 3)
return -1;
cv::Mat input = cv::imread(argv[1]);
cv::Mat output;
{
//! [graph_def]
cv::GMat in;
cv::GMat gx = cv::gapi::Sobel(in, CV_32F, 1, 0);
cv::GMat gy = cv::gapi::Sobel(in, CV_32F, 0, 1);
cv::GMat g = cv::gapi::sqrt(cv::gapi::mul(gx, gx) + cv::gapi::mul(gy, gy));
cv::GMat out = cv::gapi::convertTo(g, CV_8U);
//! [graph_def]
//! [graph_decl_apply]
//! [graph_cap_full]
cv::GComputation sobelEdge(cv::GIn(in), cv::GOut(out));
//! [graph_cap_full]
sobelEdge.apply(input, output);
//! [graph_decl_apply]
//! [apply_with_param]
cv::gapi::GKernelPackage kernels = cv::gapi::combine
(cv::gapi::core::fluid::kernels(),
cv::gapi::imgproc::fluid::kernels());
sobelEdge.apply(input, output, cv::compile_args(kernels));
//! [apply_with_param]
//! [graph_cap_sub]
cv::GComputation sobelEdgeSub(cv::GIn(gx, gy), cv::GOut(out));
//! [graph_cap_sub]
}
//! [graph_gen]
cv::GComputation sobelEdgeGen([](){
cv::GMat in;
cv::GMat gx = cv::gapi::Sobel(in, CV_32F, 1, 0);
cv::GMat gy = cv::gapi::Sobel(in, CV_32F, 0, 1);
cv::GMat g = cv::gapi::sqrt(cv::gapi::mul(gx, gx) + cv::gapi::mul(gy, gy));
cv::GMat out = cv::gapi::convertTo(g, CV_8U);
return cv::GComputation(in, out);
});
//! [graph_gen]
cv::imwrite(argv[2], output);
//! [kernels_snippet]
cv::gapi::GKernelPackage pkg = cv::gapi::kernels
< CustomAdd
, CustomFilter2D
, CustomRGB2YUV
>();
//! [kernels_snippet]
// Just call typed example with no input/output
typed_example();
return 0;
}