OpenCV1-VS2022+OpenCV环境配置

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1.VS、Image Watch、FastStone Image Viewer、OpenCV

1.安装VS2022

2.安装看图拓展：Image Watch for Visual Studio 2022

3.安装图像对比软件 FastStone Image Viewer

4.OpenCV官网下载：opencv.org/release

2.VS2022配置OpenCV环境

配置：

1.添加环境变量D:\ThirdLib\opencv\build\x64\vc16\bin

2.添加包含目录：

D:\ThirdLib\opencv\build\include\opencv2

D:\ThirdLib\opencv\build\include\

3.添加库目录：

D:\ThirdLib\opencv\build\x64\vc16\lib

4.添加附加依赖项：库目录下的文件

如果是Release版本：opencv_world480.lib

如果是Debug版本：opencv_world480d.lib

get-started 测试程序：

#include 
#include 

using namespace cv;

int main()
{
	std::string image_path = "path/to/image";
	Mat img = imread(image_path, IMREAD_COLOR);

	imshow("Display window", img);
	int k = waitKey(0); // Wait for a keystroke in the window
	return 0;
}

3.Debug模式下日志的关闭

如果实在Debug模式下，则会输出大量日志信息，使用以下代码可以关闭日志的输出：

// 包含头文件
#include 

// main函数中
cv::utils::logging::setLogLevel(utils::logging::LOG_LEVEL_SILENT);

#include 
#include 
#include 

using namespace cv;
using namespace std;

int main()
{
	cout << "OpenCV Version: " << CV_VERSION << endl;
	utils::logging::setLogLevel(utils::logging::LOG_LEVEL_SILENT);

	// jpg图片
	string image_path = "morty.jpg";
	Mat img_jpg = imread(image_path, IMREAD_UNCHANGED);
	if (img_jpg.empty())
	{
		cout << "Input image is null!" << endl;
		return 0;
	}
	imshow(image_path, img_jpg);
	cout << "Channel nmuber: " << img_jpg.channels() << endl;
	cout << "Size: " << img_jpg.size << endl;

	// png图片
	image_path = "skinner.png";
	Mat img_png = imread(image_path, IMREAD_UNCHANGED);
	if (img_png.empty())
	{
		cout << "Input image is null!" << endl;
		return 0;
	}
	imshow(image_path, img_png);
	cout << "Channel nmuber: " << img_png.channels() << endl;
	cout << "Size: " << img_png.size() << endl;

	int k = waitKey(0); // Wait for a keystroke in the window
	return 0;
}