deepin-ocr/3rdparty/opencv-4.5.4/modules/gapi/samples/dynamic_graph.cpp
wangzhengyang 718c41634f feat: 切换后端至PaddleOCR-NCNN,切换工程为CMake
1.项目后端整体迁移至PaddleOCR-NCNN算法,已通过基本的兼容性测试
2.工程改为使用CMake组织,后续为了更好地兼容第三方库,不再提供QMake工程
3.重整权利声明文件,重整代码工程,确保最小化侵权风险

Log: 切换后端至PaddleOCR-NCNN,切换工程为CMake
Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
2022-05-10 10:22:11 +08:00

69 lines
1.8 KiB
C++

#include <opencv2/gapi.hpp>
#include <opencv2/gapi/core.hpp>
#include <opencv2/gapi/cpu/core.hpp>
int main(int argc, char *argv[])
{
(void) argc;
(void) argv;
bool need_first_conversion = true;
bool need_second_conversion = false;
cv::Size szOut(4, 4);
cv::GComputation cc([&](){
// ! [GIOProtoArgs usage]
auto ins = cv::GIn();
cv::GMat in1;
if (need_first_conversion)
ins += cv::GIn(in1);
cv::GMat in2;
if (need_second_conversion)
ins += cv::GIn(in2);
auto outs = cv::GOut();
cv::GMat out1 = cv::gapi::resize(in1, szOut);
if (need_first_conversion)
outs += cv::GOut(out1);
cv::GMat out2 = cv::gapi::resize(in2, szOut);
if (need_second_conversion)
outs += cv::GOut(out2);
// ! [GIOProtoArgs usage]
return cv::GComputation(std::move(ins), std::move(outs));
});
// ! [GRunArgs usage]
auto in_vector = cv::gin();
cv::Mat in_mat1( 8, 8, CV_8UC3);
cv::Mat in_mat2(16, 16, CV_8UC3);
cv::randu(in_mat1, cv::Scalar::all(0), cv::Scalar::all(255));
cv::randu(in_mat2, cv::Scalar::all(0), cv::Scalar::all(255));
if (need_first_conversion)
in_vector += cv::gin(in_mat1);
if (need_second_conversion)
in_vector += cv::gin(in_mat2);
// ! [GRunArgs usage]
// ! [GRunArgsP usage]
auto out_vector = cv::gout();
cv::Mat out_mat1, out_mat2;
if (need_first_conversion)
out_vector += cv::gout(out_mat1);
if (need_second_conversion)
out_vector += cv::gout(out_mat2);
// ! [GRunArgsP usage]
auto stream = cc.compileStreaming(cv::compile_args(cv::gapi::core::cpu::kernels()));
stream.setSource(std::move(in_vector));
stream.start();
stream.pull(std::move(out_vector));
stream.stop();
return 0;
}