人臉識別OpenCV的3

Question

我想按照這個教程（http://docs.opencv.org/2.4/modules/contrib/doc/facerec/tutorial/facerec_video_recognition.html）爲我的樹莓派3，但它是OpenCV的2.4和我已經安裝了OpenCV的3

我冒出我的圖片，創建的CSV文件但問題是當我想編譯facerec_video.cpp時，我有無數的錯誤。我試圖逐個調試，但它似乎不斷添加錯誤。我試圖將OpenCV 3的代碼翻譯成這個頁面（http://docs.opencv.org/master/db/dfa/tutorial_transition_guide.html）。

這裏是我的錯誤：

pi@raspberrypi:~ $ g++ facerec_video.cpp -o facerec_video 
/tmp/ccZNikTK.o: In function `read_csv(std::string const&, std::vector<cv::Mat, std::allocator<cv::Mat> >&, std::vector<int, std::allocator<int> >&, char)': 
facerec_video.cpp:(.text+0x18c): undefined reference to `cv::error(int, cv::String const&, char const*, char const*, int)' 
facerec_video.cpp:(.text+0x2a4): undefined reference to `cv::imread(cv::String const&, int)' 
/tmp/ccZNikTK.o: In function `main': 
facerec_video.cpp:(.text+0x610): undefined reference to `cv::face::createFisherFaceRecognizer(int, double)' 
facerec_video.cpp:(.text+0x6b0): undefined reference to `cv::CascadeClassifier::CascadeClassifier()' 
facerec_video.cpp:(.text+0x6d8): undefined reference to `cv::CascadeClassifier::load(cv::String const&)' 
facerec_video.cpp:(.text+0x6f4): undefined reference to `cv::VideoCapture::VideoCapture(int)' 
facerec_video.cpp:(.text+0x700): undefined reference to `cv::VideoCapture::isOpened() const' 
facerec_video.cpp:(.text+0x7e0): undefined reference to `cv::cvtColor(cv::_InputArray const&, cv::_OutputArray const&, int, int)' 
facerec_video.cpp:(.text+0x860): undefined reference to `cv::CascadeClassifier::detectMultiScale(cv::_InputArray const&, std::vector<cv::Rect_<int>, std::allocator<cv::Rect_<int> > >&, double, int, int, cv::Size_<int>, cv::Size_<int>)' 
facerec_video.cpp:(.text+0x8b8): undefined reference to `cv::VideoCapture::operator>>(cv::Mat&)' 
facerec_video.cpp:(.text+0x96c): undefined reference to `cv::resize(cv::_InputArray const&, cv::_OutputArray const&, cv::Size_<int>, double, double, int)' 
facerec_video.cpp:(.text+0x9b8): undefined reference to `cv::face::FaceRecognizer::predict(cv::_InputArray const&) const' 
facerec_video.cpp:(.text+0xa4c): undefined reference to `cv::rectangle(cv::Mat&, cv::Rect_<int>, cv::Scalar_<double> const&, int, int, int)' 
facerec_video.cpp:(.text+0xa60): undefined reference to `cv::format(char const*, ...)' 
facerec_video.cpp:(.text+0xbcc): undefined reference to `cv::putText(cv::_InputOutputArray const&, cv::String const&, cv::Point_<int>, int, double, cv::Scalar_<double>, int, int, bool)' 
facerec_video.cpp:(.text+0xc78): undefined reference to `cv::imshow(cv::String const&, cv::_InputArray const&)' 
facerec_video.cpp:(.text+0xc98): undefined reference to `cv::waitKey(int)' 
facerec_video.cpp:(.text+0xd68): undefined reference to `cv::VideoCapture::~VideoCapture()' 
facerec_video.cpp:(.text+0xd74): undefined reference to `cv::CascadeClassifier::~CascadeClassifier()' 
facerec_video.cpp:(.text+0xfcc): undefined reference to `cv::VideoCapture::~VideoCapture()' 
facerec_video.cpp:(.text+0xfdc): undefined reference to `cv::CascadeClassifier::~CascadeClassifier()' 
/tmp/ccZNikTK.o: In function `cv::String::String(char const*)': 
facerec_video.cpp:(.text._ZN2cv6StringC2EPKc[_ZN2cv6StringC5EPKc]+0x50): undefined reference to `cv::String::allocate(unsigned int)' 
/tmp/ccZNikTK.o: In function `cv::String::~String()': 
facerec_video.cpp:(.text._ZN2cv6StringD2Ev[_ZN2cv6StringD5Ev]+0x14): undefined reference to `cv::String::deallocate()' 
/tmp/ccZNikTK.o: In function `cv::Mat::Mat(cv::Mat const&)': 
facerec_video.cpp:(.text._ZN2cv3MatC2ERKS0_[_ZN2cv3MatC5ERKS0_]+0x1b0): undefined reference to `cv::Mat::copySize(cv::Mat const&)' 
/tmp/ccZNikTK.o: In function `cv::Mat::~Mat()': 
facerec_video.cpp:(.text._ZN2cv3MatD2Ev[_ZN2cv3MatD5Ev]+0x3c): undefined reference to `cv::fastFree(void*)' 
/tmp/ccZNikTK.o: In function `cv::Mat::operator=(cv::Mat const&)': 
facerec_video.cpp:(.text._ZN2cv3MataSERKS0_[_ZN2cv3MataSERKS0_]+0x140): undefined reference to `cv::Mat::copySize(cv::Mat const&)' 
/tmp/ccZNikTK.o: In function `cv::Mat::clone() const': 
facerec_video.cpp:(.text._ZNK2cv3Mat5cloneEv[_ZNK2cv3Mat5cloneEv]+0x38): undefined reference to `cv::Mat::copyTo(cv::_OutputArray const&) const' 
/tmp/ccZNikTK.o: In function `cv::Mat::release()': 
facerec_video.cpp:(.text._ZN2cv3Mat7releaseEv[_ZN2cv3Mat7releaseEv]+0x68): undefined reference to `cv::Mat::deallocate()' 
/tmp/ccZNikTK.o: In function `cv::Mat::operator()(cv::Rect_<int> const&) const': 
facerec_video.cpp:(.text._ZNK2cv3MatclERKNS_5Rect_IiEE[_ZNK2cv3MatclERKNS_5Rect_IiEE]+0x24): undefined reference to `cv::Mat::Mat(cv::Mat const&, cv::Rect_<int> const&)' 
/tmp/ccZNikTK.o: In function `cv::String::String(std::string const&)': 
facerec_video.cpp:(.text._ZN2cv6StringC2ERKSs[_ZN2cv6StringC5ERKSs]+0x60): undefined reference to `cv::String::allocate(unsigned int)' 
/tmp/ccZNikTK.o:(.ARM.extab+0x1bc): undefined reference to `typeinfo for cv::Exception' 
collect2: error: ld returned 1 exit status 

這裏是代碼：

/* 
* Copyright (c) 2011. Philipp Wagner <bytefish[at]gmx[dot]de>. 
* Released to public domain under terms of the BSD Simplified license. 
* 
* Redistribution and use in source and binary forms, with or without 
* modification, are permitted provided that the following conditions are met: 
* * Redistributions of source code must retain the above copyright 
*  notice, this list of conditions and the following disclaimer. 
* * Redistributions in binary form must reproduce the above copyright 
*  notice, this list of conditions and the following disclaimer in the 
*  documentation and/or other materials provided with the distribution. 
* * Neither the name of the organization nor the names of its contributors 
*  may be used to endorse or promote products derived from this software 
*  without specific prior written permission. 
* 
* See <http://www.opensource.org/licenses/bsd-license> 
*/ 

#include "opencv2/core/core.hpp" 
#include "opencv2/contrib/contrib.hpp" 
#include "opencv2/highgui/highgui.hpp" 
#include "opencv2/imgproc/imgproc.hpp" 
#include "opencv2/objdetect/objdetect.hpp" 

#include <iostream> 
#include <fstream> 
#include <sstream> 

using namespace cv; 
using namespace std; 

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[]) { 
    // Check for valid command line arguments, print usage 
    // if no arguments were given. 
    if (argc != 4) { 
     cout << "usage: " << argv[0] << " </path/to/haar_cascade> </path/to/csv.ext> </path/to/device id>" << endl; 
     cout << "\t </path/to/haar_cascade> -- Path to the Haar Cascade for face detection." << endl; 
     cout << "\t </path/to/csv.ext> -- Path to the CSV file with the face database." << endl; 
     cout << "\t <device id> -- The webcam device id to grab frames from." << endl; 
     exit(1); 
    } 
    // Get the path to your CSV: 
    string fn_haar = string(argv[1]); 
    string fn_csv = string(argv[2]); 
    int deviceId = atoi(argv[3]); 
    // These vectors hold the images and corresponding labels: 
    vector<Mat> images; 
    vector<int> labels; 
    // Read in the data (fails if no valid input filename is given, but you'll get an error message): 
    try { 
     read_csv(fn_csv, images, labels); 
    } catch (cv::Exception& e) { 
     cerr << "Error opening file \"" << fn_csv << "\". Reason: " << e.msg << endl; 
     // nothing more we can do 
     exit(1); 
    } 
    // Get the height from the first image. We'll need this 
    // later in code to reshape the images to their original 
    // size AND we need to reshape incoming faces to this size: 
    int im_width = images[0].cols; 
    int im_height = images[0].rows; 
    // Create a FaceRecognizer and train it on the given images: 
    Ptr<FaceRecognizer> model = createFisherFaceRecognizer(); 
    model->train(images, labels); 
    // That's it for learning the Face Recognition model. You now 
    // need to create the classifier for the task of Face Detection. 
    // We are going to use the haar cascade you have specified in the 
    // command line arguments: 
    // 
    CascadeClassifier haar_cascade; 
    haar_cascade.load(fn_haar); 
    // Get a handle to the Video device: 
    VideoCapture cap(deviceId); 
    // Check if we can use this device at all: 
    if(!cap.isOpened()) { 
     cerr << "Capture Device ID " << deviceId << "cannot be opened." << endl; 
     return -1; 
    } 
    // Holds the current frame from the Video device: 
    Mat frame; 
    for(;;) { 
     cap >> frame; 
     // Clone the current frame: 
     Mat original = frame.clone(); 
     // Convert the current frame to grayscale: 
     Mat gray; 
     cvtColor(original, gray, CV_BGR2GRAY); 
     // Find the faces in the frame: 
     vector< Rect_<int> > faces; 
     haar_cascade.detectMultiScale(gray, faces); 
     // At this point you have the position of the faces in 
     // faces. Now we'll get the faces, make a prediction and 
     // annotate it in the video. Cool or what? 
     for(int i = 0; i < faces.size(); i++) { 
      // Process face by face: 
      Rect face_i = faces[i]; 
      // Crop the face from the image. So simple with OpenCV C++: 
      Mat face = gray(face_i); 
      // Resizing the face is necessary for Eigenfaces and Fisherfaces. You can easily 
      // verify this, by reading through the face recognition tutorial coming with OpenCV. 
      // Resizing IS NOT NEEDED for Local Binary Patterns Histograms, so preparing the 
      // input data really depends on the algorithm used. 
      // 
      // I strongly encourage you to play around with the algorithms. See which work best 
      // in your scenario, LBPH should always be a contender for robust face recognition. 
      // 
      // Since I am showing the Fisherfaces algorithm here, I also show how to resize the 
      // face you have just found: 
      Mat face_resized; 
      cv::resize(face, face_resized, Size(im_width, im_height), 1.0, 1.0, INTER_CUBIC); 
      // Now perform the prediction, see how easy that is: 
      int prediction = model->predict(face_resized); 
      // And finally write all we've found out to the original image! 
      // First of all draw a green rectangle around the detected face: 
      rectangle(original, face_i, CV_RGB(0, 255,0), 1); 
      // Create the text we will annotate the box with: 
      string box_text = format("Prediction = %d", prediction); 
      // Calculate the position for annotated text (make sure we don't 
      // put illegal values in there): 
      int pos_x = std::max(face_i.tl().x - 10, 0); 
      int pos_y = std::max(face_i.tl().y - 10, 0); 
      // And now put it into the image: 
      putText(original, box_text, Point(pos_x, pos_y), FONT_HERSHEY_PLAIN, 1.0, CV_RGB(0,255,0), 2.0); 
     } 
     // Show the result: 
     imshow("face_recognizer", original); 
     // And display it: 
     char key = (char) waitKey(20); 
     // Exit this loop on escape: 
     if(key == 27) 
      break; 
    } 
    return 0; 
} 

如果有人能告訴我什麼，我需要爲了做翻譯爲OpenCV的3代碼會太棒了！

謝謝！

Answer 1

我用一個的CMakeLists.txt