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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111
3rdparty/opencv-4.5.4/modules/videoio/test/test_precomp.hpp
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3rdparty/opencv-4.5.4/modules/videoio/test/test_precomp.hpp
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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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#ifndef __OPENCV_TEST_PRECOMP_HPP__
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#define __OPENCV_TEST_PRECOMP_HPP__
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#include <sstream>
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#include "opencv2/ts.hpp"
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#include "opencv2/videoio.hpp"
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#include "opencv2/videoio/registry.hpp"
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#include "opencv2/imgproc/imgproc_c.h"
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#include "opencv2/core/private.hpp"
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namespace cv {
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static inline
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std::ostream& operator<<(std::ostream& out, const VideoCaptureAPIs& api)
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{
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out << cv::videoio_registry::getBackendName(api); return out;
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}
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static inline
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std::ostream& operator<<(std::ostream& out, const VideoAccelerationType& va_type)
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{
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struct {
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VideoAccelerationType va_type;
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const char* str;
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} va_types[] = {
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{VIDEO_ACCELERATION_ANY, "ANY"},
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{VIDEO_ACCELERATION_NONE, "NONE"},
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{VIDEO_ACCELERATION_D3D11, "D3D11"},
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{VIDEO_ACCELERATION_VAAPI, "VAAPI"},
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{VIDEO_ACCELERATION_MFX, "MFX"},
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};
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for (const auto& va : va_types) {
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if (va_type == va.va_type) {
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out << va.str;
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return out;
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}
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}
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out << cv::format("UNKNOWN(0x%ux)", static_cast<unsigned int>(va_type));
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return out;
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}
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static inline void PrintTo(const cv::VideoCaptureAPIs& api, std::ostream* os)
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{
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*os << cv::videoio_registry::getBackendName(api);
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}
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} // namespace
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inline std::string fourccToString(int fourcc)
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{
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return cv::format("%c%c%c%c", fourcc & 255, (fourcc >> 8) & 255, (fourcc >> 16) & 255, (fourcc >> 24) & 255);
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}
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inline int fourccFromString(const std::string &fourcc)
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{
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if (fourcc.size() != 4) return 0;
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return cv::VideoWriter::fourcc(fourcc[0], fourcc[1], fourcc[2], fourcc[3]);
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}
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inline void generateFrame(int i, int FRAME_COUNT, cv::Mat & frame)
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{
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using namespace cv;
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using namespace std;
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int offset = (((i * 5) % FRAME_COUNT) - FRAME_COUNT / 2) * (frame.cols / 2) / FRAME_COUNT;
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frame(cv::Rect(0, 0, frame.cols / 2 + offset, frame.rows)) = Scalar(255, 255, 255);
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frame(cv::Rect(frame.cols / 2 + offset, 0, frame.cols - frame.cols / 2 - offset, frame.rows)) = Scalar(0, 0, 0);
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ostringstream buf; buf << "Frame " << setw(2) << setfill('0') << i + 1;
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int baseLine = 0;
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Size box = getTextSize(buf.str(), FONT_HERSHEY_COMPLEX, 2, 5, &baseLine);
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putText(frame, buf.str(), Point((frame.cols - box.width) / 2, (frame.rows - box.height) / 2 + baseLine),
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FONT_HERSHEY_COMPLEX, 2, Scalar(0, 0, 255), 5, LINE_AA);
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Point p(i * frame.cols / (FRAME_COUNT - 1), i * frame.rows / (FRAME_COUNT - 1));
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circle(frame, p, 50, Scalar(200, 25, 55), 8, LINE_AA);
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#if 0
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imshow("frame", frame);
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waitKey();
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#endif
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}
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class BunnyParameters
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{
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public:
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inline static int getWidth() { return 672; };
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inline static int getHeight() { return 384; };
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inline static int getFps() { return 24; };
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inline static double getTime() { return 5.21; };
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inline static int getCount() { return cvRound(getFps() * getTime()); };
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inline static std::string getFilename(const std::string &ext)
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{
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return cvtest::TS::ptr()->get_data_path() + "video/big_buck_bunny" + ext;
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}
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};
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static inline bool isBackendAvailable(cv::VideoCaptureAPIs api, const std::vector<cv::VideoCaptureAPIs>& api_list)
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{
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for (size_t i = 0; i < api_list.size(); i++)
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{
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if (api_list[i] == api)
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return true;
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}
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return false;
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}
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#endif
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