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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3rdparty/opencv-4.5.4/modules/gapi/samples/api_example.cpp
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3rdparty/opencv-4.5.4/modules/gapi/samples/api_example.cpp
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#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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int main(int argc, char *argv[])
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{
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cv::VideoCapture cap;
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if (argc > 1) cap.open(argv[1]);
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else cap.open(0);
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CV_Assert(cap.isOpened());
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cv::GMat in;
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cv::GMat vga = cv::gapi::resize(in, cv::Size(), 0.5, 0.5);
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cv::GMat gray = cv::gapi::BGR2Gray(vga);
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cv::GMat blurred = cv::gapi::blur(gray, cv::Size(5,5));
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cv::GMat edges = cv::gapi::Canny(blurred, 32, 128, 3);
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cv::GMat b,g,r;
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std::tie(b,g,r) = cv::gapi::split3(vga);
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cv::GMat out = cv::gapi::merge3(b, g | edges, r);
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cv::GComputation ac(in, out);
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cv::Mat input_frame;
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cv::Mat output_frame;
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CV_Assert(cap.read(input_frame));
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do
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{
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ac.apply(input_frame, output_frame);
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cv::imshow("output", output_frame);
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} while (cap.read(input_frame) && cv::waitKey(30) < 0);
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return 0;
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}
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