Question

#include "opencv2/core/core.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <math.h>
#include <fstream>
#include <iostream>
using namespace cv;
using namespace std;
#define ATD at<double>

Mat average_pooling2x2(Mat mat, int padding_mathed)
{
int width_remain = mat.cols % 2;
int high_remain = mat.rows % 2;

Mat mat_new;
if (width_remain == 0 && high_remain == 0)
    mat.copyTo(mat_new);
else
{
    if (padding_mathed == 1)//valid
    {
        Rect roi = Rect(0, 0, mat.cols - width_remain, mat.rows - high_remain);
        mat(roi).copyTo(mat_new);
    }
    else //same
    {
        mat.copyTo(mat_new);
        if (high_remain != 0)
        {
            Mat row_add = cv::Mat::zeros(high_remain, mat_new.cols,mat_new.type());
            mat_new.push_back(row_add);
        }
        if (width_remain != 0)
        {
            Mat col_add = cv::Mat::zeros(width_remain, mat_new.rows, mat_new.type());
            mat_new = mat_new.t();
            mat_new.push_back(col_add);
            mat_new = mat_new.t();
        }
    }
}

Mat res(mat_new.cols / 2, mat_new.rows / 2, mat_new.type(), Scalar::all(0));


if (mat_new.channels() ==3)
{  


    for (int i = 0; i < res.rows; i++)//this is where error happened
    {
        uchar *data_res = res.ptr<uchar>(i);
        uchar * data = mat_new.ptr<uchar>(2*i);
        uchar * data1 = mat_new.ptr<uchar>(2*i+1);
        for (int j = 0; j < res.cols*res.channels(); j = j + 3)
        {
            data_res[j] = (data[j*2] + data[j*2+3] + data1[j*2] + data1[j*2+3]) / 4;
            data_res[j + 1] = (data[j*2+1] + data[j*2+4] + data1[j*2+1] + data1[j*2+4]) / 4;
            data_res[j + 2] = (data[j*2+2] + data[j*2+5] + data1[j*2+2] + data1[j*2+5]) / 4;

        }
    }

}

else
{
    for (int i = 0; i<res.rows; i++)
    {
        for (int j = 0; j<res.cols; j++)
        {
            Mat temp;
            Rect roi = Rect(j * 2, i * 2, 2, 2);
            mat_new(roi).copyTo(temp);
            double val;
            val = sum(temp)[0] / (2 * 2);
            res.ATD(i, j) = val;
        }
    }

}

return res;


}


int main(int argc, char** argv)
{
    Mat image = imread("C://Users//Administrator//Desktop//11.jpg");
    imshow("???", image);
    Mat pooling_image;
    average_pooling2x2(image, 2).copyTo(pooling_image);
    imshow("???", pooling_image);
    waitKey();
    return 0;
}

OpenCV错误：在cv中断言失败（y == 0 ||（数据＆amp;＆amp; dims＆gt; = 1＆amp;＆amp;（unsigned）y＆lt;（unsigned）size.p [0]））：Mat :: ptr，文件d：\ opencv \ build \ include \ opencv2 \ core \ mat.inl.hpp，第827行

我最近尝试使用C ++实现平均池，这是我运行代码时的错误，似乎ptr指针可能超出范围。但我无法弄清问题在哪里。真的需要一些帮助

Answer 1

如果您打开了错误消息引用的文件，您会看到ptr()方法的定义如下：

template<typename _Tp> inline _Tp* Mat::ptr(int y)
{
    CV_DbgAssert( y == 0 || (data && dims >= 1 && (unsigned)y < (unsigned)size.p[0]) );
    return (_Tp*)(data + step.p[0]*y);
}

CV_DbgAssert()内的所有内容都必须评估为true - 否则程序将在运行时崩溃。从这个条件来看，很明显你指的是程序中超出Mat边界的行（上面的变量y）。

在你的情况下，我可以看到程序崩溃的几行。

在这些行中，当i等于或大于res.rows/2时发生崩溃（如果res.rows是奇数，第一个会崩溃）：

uchar * data = mat_new.ptr<uchar>(2*i);
uchar * data1 = mat_new.ptr<uchar>(2*i+1);

此循环也会崩溃，因为data_res只有res.cols列，并且您允许j到达res.cols*res.channels()-1：

for (int j = 0; j < res.cols*res.channels(); j = j + 3)
        {
            data_res[j] = (data[j*2] + data[j*2+3] + data1[j*2] + data1[j*2+3]) / 4;
            data_res[j + 1] = (data[j*2+1] + data[j*2+4] + data1[j*2+1] + data1[j*2+4]) / 4;
            data_res[j + 2] = (data[j*2+2] + data[j*2+5] + data1[j*2+2] + data1[j*2+5]) / 4;

        }

另外，我相信这里：

Mat res(mat_new.cols / 2, mat_new.rows / 2, mat_new.type(), Scalar::all(0));

您可能偶然交换了参数 - res有mat_new.cols/2行，而我认为您希望它为mat_new.rows/2。

平均汇集C ++错误

1 个答案: