可视化图片

#include <opencv2/opencv.hpp>
#include <opencv2/core.hpp>
#include <filesystem>

// 将数据类型转换为字符串
std::string opencvTool::type2str(int type) 
{
	std::string r;
	uchar depth = type & CV_MAT_DEPTH_MASK;
	uchar chans = 1 + (type >> CV_CN_SHIFT);

	switch (depth) 
	{
	case CV_8U:  r = "8U"; break;
	case CV_8S:  r = "8S"; break;
	case CV_16U: r = "16U"; break;
	case CV_16S: r = "16S"; break;
	case CV_32S: r = "32S"; break;
	case CV_32F: r = "32F"; break;
	case CV_64F: r = "64F"; break;
	default:     r = "User"; break;
	}
	r += "C";
	r += (chans + '0'); //3 个颜色通道（C3）
	return r;
}

bool opencvTool::showImage(std::string image_p)
{
	cv::Mat image = cv::imread(image_p.c_str());
	if (image.empty())
	{
		std::cout << "Error: empyt mat " << std::endl;
		return false;
	}

	// 打印图像信息
	std::cout << "Image size: " << image.cols << " x " << image.rows << std::endl;
	std::cout << "Number of channels: " << image.channels() << std::endl;  // 通道数
	std::cout << "Data type: " << type2str(image.type()) << std::endl; // 自定义函数，用于将数据类型转换为字符串

	cv::imshow("test", image);
	cv::waitKey(0);  //持续显示窗口
	cv::destroyAllWindows();  //用于关闭所有由 OpenCV 创建的窗口
	return true;
}

bool opencvTool::showImage(cv::Mat image)
{
	if (image.empty())
	{
		std::cout << "Error: empty mat " << std::endl;
		return false;
	}

	// 打印图像信息
	std::cout << "Image size: " << image.cols << "x" << image.rows << std::endl;
	std::cout << "Number of channels: " << image.channels() << std::endl;  // 通道数
	std::cout << "Data type: " << type2str(image.type()) << std::endl; // 自定义函数，用于将数据类型转换为字符串

	// 显示图像
	cv::imshow("test", image);
	cv::waitKey(0);  // 持续显示窗口
	cv::destroyAllWindows();  // 用于关闭所有由 OpenCV 创建的窗口
	return true;
}