OPENCV对图像解码并转制为RGB-NCWH格式

OpenCV Native 开发环境搭建步骤请参考：

OpenCV Native开发环境搭建_tugouxp的专栏-CSDN博客

YOLOV3网络吃图格式为416*416 NCWH 三通道的RGB格式图，下面的程序可以将一张JPEG图像转换为对应的格式，基于OPENCV

#include 
#include 
#include 
#include 
 
using namespace std;
using namespace cv;
 
int main(int argc, char **argv)
{
	Mat img = imread("output_416x416.jpg");
	
	if(img.empty())
	{
		cout <<"please confirm the name of pic is right!" < it0 = imgs0.begin();
	cv::MatIterator_ it0_end = imgs0.end();
	for (int i = 0; it0 != it0_end; it0 ++, i ++)
	{
		unsigned char data = *it0;
		int count = fwrite(&data, 1, 1, file);
		if(count != 1)
		{
			cout << "write binary failure." << endl;
		}
	}
 
	cv::MatIterator_ it1 = imgs1.begin();
	cv::MatIterator_ it1_end = imgs1.end();
	for (int i = 0; it1 != it1_end; it1 ++, i ++)
	{
		unsigned char data = *it1;
		int count = fwrite(&data, 1, 1, file);
		if(count != 1)
		{
			cout << "write binary failure." << endl;
		}
	}
 
	cv::MatIterator_ it2 = imgs2.begin();
	cv::MatIterator_ it2_end = imgs2.end();
	for (int i = 0; it2 != it2_end; it2 ++, i ++)
	{
		unsigned char data = *it2;
		int count = fwrite(&data, 1, 1, file);
		if(count != 1)
		{
			cout << "write binary failure." << endl;
		}
	}
 
	fsync(fileno(file));
	fflush(file);
	fclose(file);
 
	waitKey(0);
	return 0;
}

加上scale操作

scale 为416*416大小

#include 
#include 
#include 
#include 
 
using namespace std;
using namespace cv;

static void print_type(void)
{
	printf("CV_8UC1=%d.\n", CV_8UC1);
	printf("CV_8UC2=%d.\n", CV_8UC2);
	printf("CV_8UC3=%d.\n", CV_8UC3);
	printf("CV_8UC4=%d.\n", CV_8UC4);

	printf("CV_8SC1=%d.\n", CV_8SC1);
	printf("CV_8SC2=%d.\n", CV_8SC2);
	printf("CV_8SC3=%d.\n", CV_8SC3);
	printf("CV_8SC4=%d.\n", CV_8SC4);

	printf("CV_16UC1=%d.\n", CV_16UC1);
	printf("CV_16UC2=%d.\n", CV_16UC2);
	printf("CV_16UC3=%d.\n", CV_16UC3);
	printf("CV_16UC4=%d.\n", CV_16UC4);

	printf("CV_16SC1=%d.\n", CV_16SC1);
	printf("CV_16SC2=%d.\n", CV_16SC2);
	printf("CV_16SC3=%d.\n", CV_16SC3);
	printf("CV_16SC4=%d.\n", CV_16SC4);

	printf("CV_32SC1=%d.\n", CV_32SC1);
	printf("CV_32SC2=%d.\n", CV_32SC2);
	printf("CV_32SC3=%d.\n", CV_32SC3);
	printf("CV_32SC4=%d.\n", CV_32SC4);

	printf("CV_32FC1=%d.\n", CV_32FC1);
	printf("CV_32FC2=%d.\n", CV_32FC2);
	printf("CV_32FC3=%d.\n", CV_32FC3);
	printf("CV_32FC4=%d.\n", CV_32FC4);

	printf("CV_64FC1=%d.\n", CV_64FC1);
	printf("CV_64FC2=%d.\n", CV_64FC2);
	printf("CV_64FC3=%d.\n", CV_64FC3);
	printf("CV_64FC4=%d.\n", CV_64FC4);

	return;
}
 
int main(int argc, char **argv)
{
	print_type();
	Mat img = imread("dog.jpg");
	
	if(img.empty())
	{
		cout <<"please confirm the name of pic is right!" < it0 = imgs0.begin();
	cv::MatIterator_ it0_end = imgs0.end();
	for (int i = 0; it0 != it0_end; it0 ++, i ++)
	{
		unsigned char data = *it0;
		int count = fwrite(&data, 1, 1, file);
		if(count != 1)
		{
			cout << "write binary failure." << endl;
		}
	}
 
	cv::MatIterator_ it1 = imgs1.begin();
	cv::MatIterator_ it1_end = imgs1.end();
	for (int i = 0; it1 != it1_end; it1 ++, i ++)
	{
		unsigned char data = *it1;
		int count = fwrite(&data, 1, 1, file);
		if(count != 1)
		{
			cout << "write binary failure." << endl;
		}
	}
 
	cv::MatIterator_ it2 = imgs2.begin();
	cv::MatIterator_ it2_end = imgs2.end();
	for (int i = 0; it2 != it2_end; it2 ++, i ++)
	{
		unsigned char data = *it2;
		int count = fwrite(&data, 1, 1, file);
		if(count != 1)
		{
			cout << "write binary failure." << endl;
		}
	}
 
	fsync(fileno(file));
	fflush(file);
	fclose(file);
 
	waitKey(0);
	return 0;
}

scale.jpg文件是缩放后的图像。

 结束！