how using Introduction to Principal Component Analysis (PCA)

[AbdalaMask]

how using Introduction to Principal Component Analysis (PCA)

void Get_Featurevector_Using_PCA(Mat sample,vector &Featur_Vector)

{ PCA pca_test; Mat reshaped; Mat result_image; / this part to extract data from pca file/ //to read pca data from xml file to use it to project feature vector FileStorage fs1("pca_data",FileStorage::READ); fs1["mean"] >> pca_test.mean ; //cout<<pca_test.mean<<endl; fs1["e_vectors"] >> pca_test.eigenvectors ; fs1["e_values"] >> pca_test.eigenvalues ; fs1.release(); int size=sample.rowssample.cols; /to convert matrix to vector/ reshaped=sample; reshaped=sample.reshape(1,size); reshaped.convertTo(reshaped,CV_32FC1,1/255.);//convert to float data type to deal with pca /end conversion*/ pca_test.project(reshaped,result_image); Featur_Vector=result_image;

} how convert to c# plsssss

[AbdalaMask]

plass help

[AbdalaMask]

void cv::operator>>(const cv::FileNode &n, cv::Mat &value)

[shimat]

http://shimat.github.io/opencvsharp/api/OpenCvSharp.FileNode.html#OpenCvSharp_FileNode_ReadMat_OpenCvSharp_Mat_

using var fs = new FileStorage("pca_data", FileStorage.Modes.Read))
using var eigenvectors = fs["e_vectors"]?.ReadMat();
...

[AbdalaMask]

thank you for replying

I used FileStorage fs1 = new FileStorage("LicensePlate/pca_data.yml", FileStorage.Modes.Read);

        pca_test.Read(fs1.Root());

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