我正在尝试使用教程中给出的代码，但它无法正常工作 . 我确信所有依赖项都在那里并且程序正在编译，但是它给了我一些与某些函数无法找到相关的错误 .
这是代码：
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/face.hpp"
#include <iostream>
#include <fstream>
#include <sstream>
using namespace cv;
using namespace std;
static Mat norm_0_255(InputArray _src){
Mat src = _src.getMat();
Mat dst;
switch(src.channels()){
case 1:
cv::normalize(_src, dst, 0, 255, NORM_MINMAX, CV_8UC1);
break;
case 3:
cv::normalize(_src, dst, 0, 255, NORM_MINMAX, CV_8UC3);
break;
default:
src.copyTo(dst);
break;
}
return dst;
}
static void read_csv(const string& filename, vector<Mat>& images, vector<int>& labels, char separator = ';'){
std::ifstream file(filename.c_str(), ifstream::in);
if(!file){
string error_message = "No valid input file was given, please check the given filename.";
CV_Error(CV_StsBadArg, error_message);
}
string line, path, classlabel;
while(getline(file, line)){
stringstream liness(line);
getline(liness, path, separator);
getline(liness, classlabel);
if(!path.empty() && !classlabel.empty()){
images.push_back(imread(path, 0));
labels.push_back(atoi(classlabel.c_str()));
}
}
}
int main(int argc, const char *argv[]){
if(argc < 2){
cout << "usage: " << argv[0] << " <csv.ext> <output_folder> " << endl;
exit(0);
}
string output_folder = ".";
if(argc == 3){
output_folder = string(argv[2]);
}
string fn_csv = string(argv[1]);
vector<Mat> images;
vector<int> labels;
try{
read_csv(fn_csv, images, labels);
}catch(cv::Exception& e){
cerr << "Error opening file \"" << fn_csv << "\". Reason: " << e.msg << endl;
exit(1);
}
if(images.size() <= 1){
string error_message = "This demo needs at least 2 images to work. please add more images to your data set!";
CV_Error(CV_StsError, error_message);
}
int height = images[0].rows;
Mat testSample = images[images.size() - 1];
int testLabel = labels[labels.size() - 1];
images.pop_back();
labels.pop_back();
Ptr<cv::face::FaceRecognizer> model = cv::face::createEigenFaceRecognizer();
model->train(images, labels);
int predictedLabel = model->predict(testSample);
string result_message = format("Predicted class = %d / Actual class = %d ", predictedLabel, testLabel);
cout << result_message << endl;
Mat eigenvalues = model->getMat("eigenvalues");
Mat W = model->getMat("eigenvectors");
Mat mean = model->getMat("mean");
if(argc == 2){
imshow("mean", norm_0_255(mean.reshape(1, images[0].rows)));
}else{
imwrite(format("%s/mean.png", output_folder.c_str()), norm_0_255(mean.reshape(1, images[0].rows)));
}
// Display or save the Eigenfaces:
for (int i = 0; i < min(10, W.cols); i++) {
string msg = format("Eigenvalue #%d = %.5f", i, eigenvalues.at<double>(i));
cout << msg << endl;
// get eigenvector #i
Mat ev = W.col(i).clone();
// Reshape to original size & normalize to [0...255] for imshow.
Mat grayscale = norm_0_255(ev.reshape(1, height));
// Show the image & apply a Jet colormap for better sensing.
Mat cgrayscale;
applyColorMap(grayscale, cgrayscale, COLORMAP_JET);
// Display or save:
if(argc == 2) {
imshow(format("eigenface_%d", i), cgrayscale);
} else {
imwrite(format("%s/eigenface_%d.png", output_folder.c_str(), i), norm_0_255(cgrayscale));
}
}
// Display or save the image reconstruction at some predefined steps:
for(int num_components = min(W.cols, 10); num_components < min(W.cols, 300); num_components+=15) {
// slice the eigenvectors from the model
Mat evs = Mat(W, Range::all(), Range(0, num_components));
Mat projection = subspaceProject(evs, mean, images[0].reshape(1,1));
Mat reconstruction = subspaceReconstruct(evs, mean, projection);
// Normalize the result:
reconstruction = norm_0_255(reconstruction.reshape(1, images[0].rows));
// Display or save:
if(argc == 2) {
imshow(format("eigenface_reconstruction_%d", num_components), reconstruction);
} else {
imwrite(format("%s/eigenface_reconstruction_%d.png", output_folder.c_str(), num_components), reconstruction);
}
}
// Display if we are not writing to an output folder:
if(argc == 2) {
waitKey(0);
}
return 0;
}
CMakeLists.txt文件：
cmake_minimum_required(VERSION 2.8)
project(faceReco)
find_package(OpenCV REQUIRED)
add_executable(faceReco faceReco.cpp)
target_link_libraries(faceReco ${OpenCV_LIBS})
错误：
/home/abdulaziz/workspace/OpenCV_Projects/FaceReco/faceReco.cpp: In function ‘int main(int, const char**)’:
/home/abdulaziz/workspace/OpenCV_Projects/FaceReco/faceReco.cpp:110:27: error: ‘class cv::face::FaceRecognizer’ has no member named ‘getMat’
Mat eigenvalues = model->getMat("eigenvalues");
^
/home/abdulaziz/workspace/OpenCV_Projects/FaceReco/faceReco.cpp:111:17: error: ‘class cv::face::FaceRecognizer’ has no member named ‘getMat’
Mat W = model->getMat("eigenvectors");
^
/home/abdulaziz/workspace/OpenCV_Projects/FaceReco/faceReco.cpp:112:20: error: ‘class cv::face::FaceRecognizer’ has no member named ‘getMat’
Mat mean = model->getMat("mean");
^
/home/abdulaziz/workspace/OpenCV_Projects/FaceReco/faceReco.cpp:130:46: error: ‘COLORMAP_JET’ was not declared in this scope
applyColorMap(grayscale, cgrayscale, COLORMAP_JET);
^
/home/abdulaziz/workspace/OpenCV_Projects/FaceReco/faceReco.cpp:130:58: error: ‘applyColorMap’ was not declared in this scope
applyColorMap(grayscale, cgrayscale, COLORMAP_JET);
^
/home/abdulaziz/workspace/OpenCV_Projects/FaceReco/faceReco.cpp:143:75: error: ‘subspaceProject’ was not declared in this scope
Mat projection = subspaceProject(evs, mean, images[0].reshape(1,1));
^
/home/abdulaziz/workspace/OpenCV_Projects/FaceReco/faceReco.cpp:144:71: error: ‘subspaceReconstruct’ was not declared in this scope
Mat reconstruction = subspaceReconstruct(evs, mean, projection);
^