得到OpenCV错误“图像步骤错误";在Fisherfaces.train()方法中 [英] Getting OpenCV Error "Image step is wrong" in Fisherfaces.train() method

查看:395
本文介绍了得到OpenCV错误“图像步骤错误";在Fisherfaces.train()方法中的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我正在使用OpenCV v2.4.1

这是我正在使用的代码

#include "opencv2/opencv.hpp"
#include <iostream>
#include <fstream>
#include <sstream>

using namespace cv;
using namespace std;

Mat toGrayscale(InputArray _src) {
    Mat src = _src.getMat();
    // only allow one channel
    if(src.channels() != 1)
        CV_Error(CV_StsBadArg, "Only Matrices with one channel are supported");
    // create and return normalized image
    Mat dst;
    cv::normalize(_src, dst, 0, 255, NORM_MINMAX, CV_8UC1);
    return dst;
}

void read_csv(const string& filename, vector<Mat>& images, vector<int>& labels, char separator = ';') {
    std::ifstream file(filename.c_str(), ifstream::in);
    if (!file)
        throw std::exception();
    string line, path, classlabel;
    while (getline(file, line)) {
        stringstream liness(line);
        getline(liness, path, separator);
        getline(liness, classlabel);
        images.push_back(imread(path, 0));
        labels.push_back(atoi(classlabel.c_str()));
    }
}

int main(int argc, const char *argv[]) {
    // check for command line arguments
    /*if (argc != 2) {
        cout << "usage: " << argv[0] << " <csv.ext>" << endl;
        exit(1);
    }*/
    // path to your CSV
    string fn_csv = string("at.txt");
    // images and corresponding labels
    vector<Mat> images;
    vector<int> labels;
    // read in the data
    try {
        read_csv(fn_csv, images, labels);
    } catch (exception&) {
        cerr << "Error opening file \"" << fn_csv << "\"." << endl;
        exit(1);
    }
    // get width and height
    //int width = images[0].cols;
    int height = images[0].rows;
    // get test instances
    Mat testSample = images[images.size() - 1];
    int testLabel = labels[labels.size() - 1];
    // ... and delete last element
    images.pop_back();
    labels.pop_back();
    // build the Fisherfaces model
    Ptr<FaceRecognizer> model = createFisherFaceRecognizer();
    model->train(images, labels);
    // test model
    int predicted = model->predict(testSample);
    cout << "predicted class = " << predicted << endl;
    cout << "actual class = " << testLabel << endl;
    // get the eigenvectors
    Mat W = model->eigenvectors();
    // show first 10 fisherfaces
    for (int i = 0; i < min(10, W.cols); i++) {
        // get eigenvector #i
        Mat ev = W.col(i).clone();
        // reshape to original size AND normalize between [0...255]
        Mat grayscale = toGrayscale(ev.reshape(1, height));
        // show image (with Jet colormap)
        Mat cgrayscale;
        applyColorMap(grayscale, cgrayscale, COLORMAP_JET);
        imshow(format("%d", i), cgrayscale);
    }
    waitKey(0);
    return 0;
}

at.txt输入文件的内容:

./at/s10/2.pgm; 9 ./at/s10/7.pgm;9 ./at/s10/6.pgm;9 ./at/s10/9.pgm;9 ./at/s10/5.pgm;9

现在的问题是,只要我使用的是pgm文件,它就可以正常工作.但是当我指定任何jpg文件而不是pgm时,出现以下错误

OpenCV错误:图像步长错误(矩阵不连续,因此其编号为 行数不能更改)在未知函数中,文件...... \ src \ opencv \ modul es \ core \ src \ matrix.cpp,第801行

到目前为止,我无法追踪到该错误来自Fisherfaces.train()-> cv :: Mat.reShape()

但是我一无所知,这可能是什么原因.请帮忙.

解决方案

此解决方案对我有用!

之前,我在项目属性中同时添加了release和Debug lib.现在,我删除了所有已发布的库,并且可以正常工作.

I'm using OpenCV v2.4.1

And this is the code I'm using

#include "opencv2/opencv.hpp"
#include <iostream>
#include <fstream>
#include <sstream>

using namespace cv;
using namespace std;

Mat toGrayscale(InputArray _src) {
    Mat src = _src.getMat();
    // only allow one channel
    if(src.channels() != 1)
        CV_Error(CV_StsBadArg, "Only Matrices with one channel are supported");
    // create and return normalized image
    Mat dst;
    cv::normalize(_src, dst, 0, 255, NORM_MINMAX, CV_8UC1);
    return dst;
}

void read_csv(const string& filename, vector<Mat>& images, vector<int>& labels, char separator = ';') {
    std::ifstream file(filename.c_str(), ifstream::in);
    if (!file)
        throw std::exception();
    string line, path, classlabel;
    while (getline(file, line)) {
        stringstream liness(line);
        getline(liness, path, separator);
        getline(liness, classlabel);
        images.push_back(imread(path, 0));
        labels.push_back(atoi(classlabel.c_str()));
    }
}

int main(int argc, const char *argv[]) {
    // check for command line arguments
    /*if (argc != 2) {
        cout << "usage: " << argv[0] << " <csv.ext>" << endl;
        exit(1);
    }*/
    // path to your CSV
    string fn_csv = string("at.txt");
    // images and corresponding labels
    vector<Mat> images;
    vector<int> labels;
    // read in the data
    try {
        read_csv(fn_csv, images, labels);
    } catch (exception&) {
        cerr << "Error opening file \"" << fn_csv << "\"." << endl;
        exit(1);
    }
    // get width and height
    //int width = images[0].cols;
    int height = images[0].rows;
    // get test instances
    Mat testSample = images[images.size() - 1];
    int testLabel = labels[labels.size() - 1];
    // ... and delete last element
    images.pop_back();
    labels.pop_back();
    // build the Fisherfaces model
    Ptr<FaceRecognizer> model = createFisherFaceRecognizer();
    model->train(images, labels);
    // test model
    int predicted = model->predict(testSample);
    cout << "predicted class = " << predicted << endl;
    cout << "actual class = " << testLabel << endl;
    // get the eigenvectors
    Mat W = model->eigenvectors();
    // show first 10 fisherfaces
    for (int i = 0; i < min(10, W.cols); i++) {
        // get eigenvector #i
        Mat ev = W.col(i).clone();
        // reshape to original size AND normalize between [0...255]
        Mat grayscale = toGrayscale(ev.reshape(1, height));
        // show image (with Jet colormap)
        Mat cgrayscale;
        applyColorMap(grayscale, cgrayscale, COLORMAP_JET);
        imshow(format("%d", i), cgrayscale);
    }
    waitKey(0);
    return 0;
}

contents of at.txt input file :

./at/s10/2.pgm;9 ./at/s10/7.pgm;9 ./at/s10/6.pgm;9 ./at/s10/9.pgm;9 ./at/s10/5.pgm;9

Now the problem is , as long as I'm using this pgm files , It works fine . But when I specify any jpg file instead of pgm I get following error

OpenCV Error: Image step is wrong (The matrix is not continuous, thus its number of rows can not be changed) in unknown function, file ......\src\opencv\modul es\core\src\matrix.cpp, line 801

So far Im able to trace that error is coming from Fisherfaces.train() --> cv::Mat.reShape()

But I'm clueless , what could be the reason . Please help.

解决方案

This solution worked for me!

Earlier I had both release and Debug lib added in project properties. Now I have removed all the released libs and it's working flawlessly.

这篇关于得到OpenCV错误“图像步骤错误";在Fisherfaces.train()方法中的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

查看全文
登录 关闭
扫码关注1秒登录
发送“验证码”获取 | 15天全站免登陆