#include <opencv2/dnn.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
using namespace cv;
using namespace cv::dnn;
#include <fstream>
#include <iostream>
#include <cstdlib>
using namespace std;


int main(int argc, char* argv[])
{

	String modelFile = "E:/PycharmProject/my/torch.onnx";
	
	if (argc>1) {
		String imageFile = argv[1];
		dnn::Net net = cv::dnn::readNetFromONNX(modelFile); //读取网络和参数
		Mat image = imread(imageFile); // 读取测试图片
		cv::cvtColor(image, image, cv::COLOR_BGR2RGB);
		Mat inputBolb = blobFromImage(image, 0.00390625f, Size(32, 32), Scalar(), false, false); //将图像转化为正确输入格式

		net.setInput(inputBolb); //输入图像

		Mat result = net.forward(); //前向计算

		cout << result << endl;
	}
	std::getchar();
	return 0;
}