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
This commit is contained in:
130
3rdparty/opencv-4.5.4/samples/cpp/tutorial_code/TrackingMotion/cornerDetector_Demo.cpp
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130
3rdparty/opencv-4.5.4/samples/cpp/tutorial_code/TrackingMotion/cornerDetector_Demo.cpp
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/**
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* @function cornerDetector_Demo.cpp
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* @brief Demo code for detecting corners using OpenCV built-in functions
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* @author OpenCV team
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*/
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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#include <iostream>
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using namespace cv;
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using namespace std;
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/// Global variables
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Mat src, src_gray;
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Mat myHarris_dst, myHarris_copy, Mc;
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Mat myShiTomasi_dst, myShiTomasi_copy;
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int myShiTomasi_qualityLevel = 50;
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int myHarris_qualityLevel = 50;
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int max_qualityLevel = 100;
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double myHarris_minVal, myHarris_maxVal;
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double myShiTomasi_minVal, myShiTomasi_maxVal;
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RNG rng(12345);
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const char* myHarris_window = "My Harris corner detector";
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const char* myShiTomasi_window = "My Shi Tomasi corner detector";
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/// Function headers
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void myShiTomasi_function( int, void* );
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void myHarris_function( int, void* );
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/**
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* @function main
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*/
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int main( int argc, char** argv )
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{
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/// Load source image and convert it to gray
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CommandLineParser parser( argc, argv, "{@input | building.jpg | input image}" );
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src = imread( samples::findFile( parser.get<String>( "@input" ) ) );
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if ( src.empty() )
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{
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cout << "Could not open or find the image!\n" << endl;
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cout << "Usage: " << argv[0] << " <Input image>" << endl;
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return -1;
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}
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cvtColor( src, src_gray, COLOR_BGR2GRAY );
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/// Set some parameters
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int blockSize = 3, apertureSize = 3;
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/// My Harris matrix -- Using cornerEigenValsAndVecs
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cornerEigenValsAndVecs( src_gray, myHarris_dst, blockSize, apertureSize );
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/* calculate Mc */
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Mc = Mat( src_gray.size(), CV_32FC1 );
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for( int i = 0; i < src_gray.rows; i++ )
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{
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for( int j = 0; j < src_gray.cols; j++ )
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{
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float lambda_1 = myHarris_dst.at<Vec6f>(i, j)[0];
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float lambda_2 = myHarris_dst.at<Vec6f>(i, j)[1];
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Mc.at<float>(i, j) = lambda_1*lambda_2 - 0.04f*((lambda_1 + lambda_2) * (lambda_1 + lambda_2));
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}
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}
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minMaxLoc( Mc, &myHarris_minVal, &myHarris_maxVal );
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/* Create Window and Trackbar */
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namedWindow( myHarris_window );
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createTrackbar( "Quality Level:", myHarris_window, &myHarris_qualityLevel, max_qualityLevel, myHarris_function );
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myHarris_function( 0, 0 );
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/// My Shi-Tomasi -- Using cornerMinEigenVal
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cornerMinEigenVal( src_gray, myShiTomasi_dst, blockSize, apertureSize );
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minMaxLoc( myShiTomasi_dst, &myShiTomasi_minVal, &myShiTomasi_maxVal );
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/* Create Window and Trackbar */
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namedWindow( myShiTomasi_window );
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createTrackbar( "Quality Level:", myShiTomasi_window, &myShiTomasi_qualityLevel, max_qualityLevel, myShiTomasi_function );
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myShiTomasi_function( 0, 0 );
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waitKey();
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return 0;
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}
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/**
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* @function myShiTomasi_function
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*/
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void myShiTomasi_function( int, void* )
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{
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myShiTomasi_copy = src.clone();
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myShiTomasi_qualityLevel = MAX(myShiTomasi_qualityLevel, 1);
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for( int i = 0; i < src_gray.rows; i++ )
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{
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for( int j = 0; j < src_gray.cols; j++ )
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{
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if( myShiTomasi_dst.at<float>(i,j) > myShiTomasi_minVal + ( myShiTomasi_maxVal - myShiTomasi_minVal )*myShiTomasi_qualityLevel/max_qualityLevel )
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{
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circle( myShiTomasi_copy, Point(j,i), 4, Scalar( rng.uniform(0,256), rng.uniform(0,256), rng.uniform(0,256) ), FILLED );
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}
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}
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}
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imshow( myShiTomasi_window, myShiTomasi_copy );
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}
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/**
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* @function myHarris_function
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*/
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void myHarris_function( int, void* )
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{
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myHarris_copy = src.clone();
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myHarris_qualityLevel = MAX(myHarris_qualityLevel, 1);
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for( int i = 0; i < src_gray.rows; i++ )
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{
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for( int j = 0; j < src_gray.cols; j++ )
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{
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if( Mc.at<float>(i,j) > myHarris_minVal + ( myHarris_maxVal - myHarris_minVal )*myHarris_qualityLevel/max_qualityLevel )
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{
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circle( myHarris_copy, Point(j,i), 4, Scalar( rng.uniform(0,256), rng.uniform(0,256), rng.uniform(0,256) ), FILLED );
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}
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}
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}
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imshow( myHarris_window, myHarris_copy );
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}
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87
3rdparty/opencv-4.5.4/samples/cpp/tutorial_code/TrackingMotion/cornerHarris_Demo.cpp
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87
3rdparty/opencv-4.5.4/samples/cpp/tutorial_code/TrackingMotion/cornerHarris_Demo.cpp
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/**
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* @function cornerHarris_Demo.cpp
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* @brief Demo code for detecting corners using Harris-Stephens method
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* @author OpenCV team
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*/
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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#include <iostream>
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using namespace cv;
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using namespace std;
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/// Global variables
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Mat src, src_gray;
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int thresh = 200;
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int max_thresh = 255;
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const char* source_window = "Source image";
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const char* corners_window = "Corners detected";
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/// Function header
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void cornerHarris_demo( int, void* );
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/**
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* @function main
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*/
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int main( int argc, char** argv )
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{
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/// Load source image and convert it to gray
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CommandLineParser parser( argc, argv, "{@input | building.jpg | input image}" );
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src = imread( samples::findFile( parser.get<String>( "@input" ) ) );
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if ( src.empty() )
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{
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cout << "Could not open or find the image!\n" << endl;
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cout << "Usage: " << argv[0] << " <Input image>" << endl;
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return -1;
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}
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cvtColor( src, src_gray, COLOR_BGR2GRAY );
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/// Create a window and a trackbar
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namedWindow( source_window );
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createTrackbar( "Threshold: ", source_window, &thresh, max_thresh, cornerHarris_demo );
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imshow( source_window, src );
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cornerHarris_demo( 0, 0 );
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waitKey();
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return 0;
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}
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/**
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* @function cornerHarris_demo
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* @brief Executes the corner detection and draw a circle around the possible corners
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*/
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void cornerHarris_demo( int, void* )
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{
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/// Detector parameters
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int blockSize = 2;
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int apertureSize = 3;
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double k = 0.04;
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/// Detecting corners
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Mat dst = Mat::zeros( src.size(), CV_32FC1 );
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cornerHarris( src_gray, dst, blockSize, apertureSize, k );
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/// Normalizing
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Mat dst_norm, dst_norm_scaled;
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normalize( dst, dst_norm, 0, 255, NORM_MINMAX, CV_32FC1, Mat() );
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convertScaleAbs( dst_norm, dst_norm_scaled );
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/// Drawing a circle around corners
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for( int i = 0; i < dst_norm.rows ; i++ )
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{
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for( int j = 0; j < dst_norm.cols; j++ )
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{
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if( (int) dst_norm.at<float>(i,j) > thresh )
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{
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circle( dst_norm_scaled, Point(j,i), 5, Scalar(0), 2, 8, 0 );
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}
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}
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}
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/// Showing the result
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namedWindow( corners_window );
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imshow( corners_window, dst_norm_scaled );
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}
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112
3rdparty/opencv-4.5.4/samples/cpp/tutorial_code/TrackingMotion/cornerSubPix_Demo.cpp
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112
3rdparty/opencv-4.5.4/samples/cpp/tutorial_code/TrackingMotion/cornerSubPix_Demo.cpp
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/**
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* @function cornerSubPix_Demo.cpp
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* @brief Demo code for refining corner locations
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* @author OpenCV team
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*/
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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#include <iostream>
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using namespace cv;
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using namespace std;
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/// Global variables
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Mat src, src_gray;
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int maxCorners = 10;
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int maxTrackbar = 25;
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RNG rng(12345);
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const char* source_window = "Image";
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/// Function header
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void goodFeaturesToTrack_Demo( int, void* );
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/**
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* @function main
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*/
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int main( int argc, char** argv )
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{
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/// Load source image and convert it to gray
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CommandLineParser parser( argc, argv, "{@input | pic3.png | input image}" );
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src = imread( samples::findFile( parser.get<String>( "@input" ) ) );
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if( src.empty() )
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{
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cout << "Could not open or find the image!\n" << endl;
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cout << "Usage: " << argv[0] << " <Input image>" << endl;
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return -1;
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}
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cvtColor( src, src_gray, COLOR_BGR2GRAY );
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/// Create Window
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namedWindow( source_window );
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/// Create Trackbar to set the number of corners
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createTrackbar( "Max corners:", source_window, &maxCorners, maxTrackbar, goodFeaturesToTrack_Demo );
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imshow( source_window, src );
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goodFeaturesToTrack_Demo( 0, 0 );
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waitKey();
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return 0;
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}
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/**
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* @function goodFeaturesToTrack_Demo.cpp
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* @brief Apply Shi-Tomasi corner detector
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*/
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void goodFeaturesToTrack_Demo( int, void* )
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{
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/// Parameters for Shi-Tomasi algorithm
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maxCorners = MAX(maxCorners, 1);
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vector<Point2f> corners;
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double qualityLevel = 0.01;
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double minDistance = 10;
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int blockSize = 3, gradientSize = 3;
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bool useHarrisDetector = false;
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double k = 0.04;
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/// Copy the source image
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Mat copy = src.clone();
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/// Apply corner detection
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goodFeaturesToTrack( src_gray,
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corners,
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maxCorners,
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qualityLevel,
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minDistance,
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Mat(),
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blockSize,
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gradientSize,
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useHarrisDetector,
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k );
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/// Draw corners detected
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cout << "** Number of corners detected: " << corners.size() << endl;
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int radius = 4;
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for( size_t i = 0; i < corners.size(); i++ )
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{
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circle( copy, corners[i], radius, Scalar(rng.uniform(0,255), rng.uniform(0, 256), rng.uniform(0, 256)), FILLED );
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}
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/// Show what you got
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namedWindow( source_window );
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imshow( source_window, copy );
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/// Set the needed parameters to find the refined corners
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Size winSize = Size( 5, 5 );
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Size zeroZone = Size( -1, -1 );
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TermCriteria criteria = TermCriteria( TermCriteria::EPS + TermCriteria::COUNT, 40, 0.001 );
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/// Calculate the refined corner locations
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cornerSubPix( src_gray, corners, winSize, zeroZone, criteria );
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/// Write them down
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for( size_t i = 0; i < corners.size(); i++ )
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{
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cout << " -- Refined Corner [" << i << "] (" << corners[i].x << "," << corners[i].y << ")" << endl;
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}
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}
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99
3rdparty/opencv-4.5.4/samples/cpp/tutorial_code/TrackingMotion/goodFeaturesToTrack_Demo.cpp
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3rdparty/opencv-4.5.4/samples/cpp/tutorial_code/TrackingMotion/goodFeaturesToTrack_Demo.cpp
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/**
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* @function goodFeaturesToTrack_Demo.cpp
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* @brief Demo code for detecting corners using Shi-Tomasi method
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* @author OpenCV team
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*/
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#include "opencv2/imgcodecs.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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#include <iostream>
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using namespace cv;
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using namespace std;
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/// Global variables
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Mat src, src_gray;
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int maxCorners = 23;
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int maxTrackbar = 100;
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RNG rng(12345);
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const char* source_window = "Image";
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/// Function header
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void goodFeaturesToTrack_Demo( int, void* );
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/**
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* @function main
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*/
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int main( int argc, char** argv )
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{
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/// Load source image and convert it to gray
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CommandLineParser parser( argc, argv, "{@input | pic3.png | input image}" );
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src = imread( samples::findFile( parser.get<String>( "@input" ) ) );
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if( src.empty() )
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{
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cout << "Could not open or find the image!\n" << endl;
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cout << "Usage: " << argv[0] << " <Input image>" << endl;
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return -1;
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}
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cvtColor( src, src_gray, COLOR_BGR2GRAY );
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/// Create Window
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namedWindow( source_window );
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/// Create Trackbar to set the number of corners
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createTrackbar( "Max corners:", source_window, &maxCorners, maxTrackbar, goodFeaturesToTrack_Demo );
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imshow( source_window, src );
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goodFeaturesToTrack_Demo( 0, 0 );
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waitKey();
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return 0;
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}
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/**
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* @function goodFeaturesToTrack_Demo.cpp
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* @brief Apply Shi-Tomasi corner detector
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*/
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void goodFeaturesToTrack_Demo( int, void* )
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{
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/// Parameters for Shi-Tomasi algorithm
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maxCorners = MAX(maxCorners, 1);
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vector<Point2f> corners;
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double qualityLevel = 0.01;
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double minDistance = 10;
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int blockSize = 3, gradientSize = 3;
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bool useHarrisDetector = false;
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double k = 0.04;
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/// Copy the source image
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Mat copy = src.clone();
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/// Apply corner detection
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goodFeaturesToTrack( src_gray,
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corners,
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maxCorners,
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qualityLevel,
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minDistance,
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Mat(),
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blockSize,
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gradientSize,
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useHarrisDetector,
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k );
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/// Draw corners detected
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cout << "** Number of corners detected: " << corners.size() << endl;
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int radius = 4;
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for( size_t i = 0; i < corners.size(); i++ )
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{
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circle( copy, corners[i], radius, Scalar(rng.uniform(0,255), rng.uniform(0, 256), rng.uniform(0, 256)), FILLED );
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}
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/// Show what you got
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namedWindow( source_window );
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imshow( source_window, copy );
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}
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