opencv buff与mat相互转换

lijingle 目标检测 2022-8-24 15:26 2866人围观

1，Mat转换成char

int main()
{  
       Mat img = imread("1.png");
	imshow("1", img);
	char* imgdata = new char[img.rows*img.cols*img.channels()];
	for (int i = 0; i < img.rows; i++)
	{
		unsigned char *data = img.ptr<unsigned char>(i);
		for (int j = 0; j < img.cols * 3; j++)
		{
			imgdata[i * img.cols * 3 + j] = data[j];
			//std::cout << (int)data[j] << " ";
		}
	}
	cv::Mat Image(img.rows, img.cols, CV_8UC3, imgdata);
	imshow("2", Image);
	waitKey(0);
	return 0;
}

读取一个一维数据转换成Mat格式，

#include<iostream>
#include<opencv2/opencv.hpp>
#include<fstream> using namespace std;
using namespace cv;
int main() {
	char* buffer = new char[6220800+1];
	FILE *fptr = fopen("BGR.bgr", "rb");
	if (fptr == NULL) {
		fprintf(stderr, "cannot read file %s","RGB.bgr");
		exit(1);
	}
	fseek(fptr, 0, SEEK_END);
	int len = ftell(fptr);
	rewind(fptr);
	fread(buffer, len, 1, fptr);
	fclose(fptr);
	Mat img_RGB(1080,1920, CV_8UC3, buffer);
	imshow("RGB", img_RGB);
	waitKey(0);
	return 0;}

方法2 （耗时最短，200us）

//单通道

    cv::Mat Image = cv::imread("E:\\Data\\2.bmp", 1);
    char * pBuffet = new char[Image.cols * Image.rows];
    if (Image.isContinuous())
    {
        memcpy(pBuffet, Image.data, Image.cols*Image.rows);    }
    else
    {
        for (int i = 0; i < Image.rows; ++i)
        {
            memcpy(pBuffet, Image.ptr<uchar>(i), Image.cols);
        }
    }

//三通道
    cv::Mat Image = cv::imread("E:\\Data\\2.bmp", 1);

    char * pBuffet = new char[Image.cols * Image.rows*3];
    if (Image.isContinuous())
    {
        memcpy(pBuffet, Image.data, Image.cols*Image.rows*3);
    }
    else
    {
        for (int i = 0; i < Image.rows; ++i)
        {
            memcpy(pBuffet, Image.ptr<uchar>(i), Image.cols*3);
        }
    }
//Byte *转Mat图像
BYTE* pImageRGBInfo = new BYTE[BUFF_SIZE_IMAG + 1];
  cv::Mat Image = cv::Mat(480, 640, CV_8UC3, pImageRGBInfo);

CV_8U转换成CV_16U