roi out of bounds [closed]

edit

I have the following error i don't have any idea how to fix it. can you please help me to fix this error? The full code is below.

OpenCV Error: Assertion failed (0 <= roi.x && 0 <= roi.width && roi.x + roi.width <= m.cols && 0 <= roi.y && 0 <= roi.height && roi.y + roi.height <= m.rows) in cv::Mat::Mat, file ........\opencv\modules\core\src\matrix.cpp, line 323 #include "opencv2/core/core.hpp" #include "opencv2/imgproc/imgproc.hpp" #include "opencv2/highgui/highgui.hpp" #include "math.h" #include <fstream> #include <iostream> #include <ctime> #include <vector>

using namespace cv;
using namespace std;
// Gradient Checking
#define G_CHECKING 0
// Conv2 parameter
#define CONV_FULL 0
#define CONV_SAME 1
#define CONV_VALID 2
// Pooling methods
#define POOL_MAX 0
#define POOL_MEAN 1
#define POOL_MAX 2
#define POOL_STOCHASTIC 1

#define ATD at<double>
#define elif else if
int NumHiddenNeurons = 50; //200
int NumHiddenLayers = 2;
int nclasses = 4; //10
int KernelSize = 3; //13
int KernelAmount = 8;
int PoolingDim = 2; //4
int batch;
int Pooling_Methed = POOL_STOCHASTIC;

typedef struct ConvKernel{
    Mat W;
    double b;
    Mat Wgrad;
    double bgrad;
}ConvK;

typedef struct ConvLayer{
    vector<ConvK> layer;
    int kernelAmount;
}Cvl;

typedef struct Network{
    Mat W;
    Mat b;
    Mat Wgrad;
    Mat bgrad;
}Ntw;

typedef struct SoftmaxRegession{
    Mat Weight;
    Mat Wgrad;
    Mat b;
    Mat bgrad;
    double cost;
}SMR;

Mat 
concatenateMat(vector<vector<Mat> > &vec){

    int subFeatures = vec[0][0].rows * vec[0][0].cols;
    int height = vec[0].size() * subFeatures;
    int width = vec.size();
    Mat res = Mat::zeros(height, width, CV_64FC1);

    for(int i=0; i<vec.size(); i++){
        for(int j=0; j<vec[i].size(); j++){
            Rect roi = Rect(i, j * subFeatures, 1, subFeatures);
            Mat subView = res(roi);
            Mat ptmat = vec[i][j].reshape(0, subFeatures);
            ptmat.copyTo(subView);
        }
    }
    return res;
}

Mat 
concatenateMat(vector<Mat> &vec){

    int height = vec[0].rows;
    int width = vec[0].cols;
    Mat res = Mat::zeros(height * width, vec.size(), CV_64FC1);
    for(int i=0; i<vec.size(); i++){
        Mat img(vec[i]);
       //  reshape(int cn, int rows=0),// cn is num of channels.
        Mat ptmat = img.reshape(0, height * width);
        Rect roi = cv::Rect(i, 0, ptmat.cols, ptmat.rows);
        Mat subView = res(roi);
        ptmat.copyTo(subView);
    }
    return res;
}

void
unconcatenateMat(Mat &M, vector<vector<Mat> > &vec, int vsize){

    int sqDim = M.rows / vsize;
    int Dim =  sqrt ((double) sqDim);
    for(int i=0; i<M.cols; i++){
        vector<Mat> oneColumn;
        for(int j=0; j<vsize; j++){
            Rect roi = Rect(i, j * sqDim, 1, sqDim);
            Mat temp;
            M(roi).copyTo(temp);
            Mat img = temp.reshape(0, Dim);
            oneColumn.push_back(img);
        }
        vec.push_back(oneColumn);
    }
}

int 
ReverseInt (int i){
    unsigned char ch1, ch2, ch3, ch4;
    ch1 = i & 255;
    ch2 = (i >> 8) & 255;
    ch3 = (i >> 16) & 255;
    ch4 = (i >> 24) & 255;
    return((int) ch1 << 24) + ((int)ch2 << 16) + ((int)ch3 << 8) + ch4;
}

void 
read_Mnist(string filename, vector<Mat> &vec){
    ifstream file(filename, ios::binary);
    if (file.is_open()){
        int magic_number = 0;
        int number_of_images = 0;
        int n_rows = 0;
        int n_cols = 0;
        file.read ...