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
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68
3rdparty/opencv-4.5.4/modules/gapi/samples/dynamic_graph.cpp
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68
3rdparty/opencv-4.5.4/modules/gapi/samples/dynamic_graph.cpp
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#include <opencv2/gapi.hpp>
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#include <opencv2/gapi/core.hpp>
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#include <opencv2/gapi/cpu/core.hpp>
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int main(int argc, char *argv[])
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{
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(void) argc;
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(void) argv;
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bool need_first_conversion = true;
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bool need_second_conversion = false;
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cv::Size szOut(4, 4);
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cv::GComputation cc([&](){
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// ! [GIOProtoArgs usage]
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auto ins = cv::GIn();
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cv::GMat in1;
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if (need_first_conversion)
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ins += cv::GIn(in1);
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cv::GMat in2;
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if (need_second_conversion)
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ins += cv::GIn(in2);
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auto outs = cv::GOut();
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cv::GMat out1 = cv::gapi::resize(in1, szOut);
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if (need_first_conversion)
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outs += cv::GOut(out1);
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cv::GMat out2 = cv::gapi::resize(in2, szOut);
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if (need_second_conversion)
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outs += cv::GOut(out2);
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// ! [GIOProtoArgs usage]
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return cv::GComputation(std::move(ins), std::move(outs));
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});
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// ! [GRunArgs usage]
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auto in_vector = cv::gin();
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cv::Mat in_mat1( 8, 8, CV_8UC3);
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cv::Mat in_mat2(16, 16, CV_8UC3);
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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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if (need_first_conversion)
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in_vector += cv::gin(in_mat1);
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if (need_second_conversion)
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in_vector += cv::gin(in_mat2);
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// ! [GRunArgs usage]
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// ! [GRunArgsP usage]
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auto out_vector = cv::gout();
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cv::Mat out_mat1, out_mat2;
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if (need_first_conversion)
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out_vector += cv::gout(out_mat1);
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if (need_second_conversion)
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out_vector += cv::gout(out_mat2);
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// ! [GRunArgsP usage]
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auto stream = cc.compileStreaming(cv::compile_args(cv::gapi::core::cpu::kernels()));
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stream.setSource(std::move(in_vector));
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stream.start();
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stream.pull(std::move(out_vector));
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stream.stop();
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return 0;
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}
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