急急急，求助，有没有大神知道怎么用python调用c++

IreneTa 2018-08-16 04:53:43

生成dll文件，调用dll文件？？python代码要怎么写呢...
比如我有这样一个火焰识别的代码，_declspec(dllexport)是要在int main() ，Mat CheckColor(Mat &inImg) ，void DrawFire(Mat &inputImg, Mat foreImg)都加上吗？

#include "stdafx.h"

#include<opencv2/opencv.hpp>  

#include<cv.h>  



using namespace std;

using namespace cv;



Mat CheckColor(Mat &inImg);

void DrawFire(Mat &inputImg, Mat foreImg);

int main()

{

	string filepath = "2.jpg";

	Mat inputImg = imread(filepath, 1);



	CheckColor(inputImg);

	return 0;

}

//////////////////////////////////

//The Color Check is According to "An Early Fire-Detection Method Based on Image Processing"

//The Author is:Thou-Ho (Chao-Ho) Chen, Ping-Hsueh Wu, and Yung-Chuen Chiou

//////////////////////////////////////

Mat CheckColor(Mat &inImg)

{

	Mat fireImg;

	fireImg.create(inImg.size(), CV_8UC1);



	int redThre = 115; // 115~135

	int saturationTh = 45; //55~65

	Mat multiRGB[3];

	int a = inImg.channels();

	split(inImg, multiRGB); //将图片拆分成R,G,B,三通道的颜色



	for (int i = 0; i < inImg.rows; i++)

	{

		for (int j = 0; j < inImg.cols; j++)

		{

			float B, G, R;

			B = multiRGB[0].at<uchar>(i, j); //每个像素的R,G,B值

			G = multiRGB[1].at<uchar>(i, j);

			R = multiRGB[2].at<uchar>(i, j);



			/*B = inImg.at<uchar>(i,inImg.channels()*j + 0); //另一种调用图片中像素RGB值的方法

			G = inImg.at<uchar>(i,inImg.channels()*j + 1);

			R = inImg.at<uchar>(i,inImg.channels()*j + 2);*/



			int maxValue = max(max(B, G), R);

			int minValue = min(min(B, G), R);



			double S = (1 - 3.0*minValue / (R + G + B));



			//R > RT  R>=G>=B  S>=((255-R)*ST/RT)

			if (R > redThre && R >= G && G >= B && S >0.20 && S >((255 - R) * saturationTh / redThre))

			{

				fireImg.at<uchar>(i, j) = 255;

			}

			else

			{

				fireImg.at<uchar>(i, j) = 0;

			}

		}

	}



	dilate(fireImg, fireImg, Mat(5, 5, CV_8UC1));

	imshow("fire", fireImg);

	waitKey(0);



	DrawFire(inImg, fireImg);



	return fireImg;

}



void DrawFire(Mat &inputImg, Mat foreImg)

{

	vector<vector<Point>> contours_set;//保存轮廓提取后的点集及拓扑关系



	findContours(foreImg, contours_set, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);

	// 只提取最外层的轮廓 

	//将所有点由链码形式翻译(转化）为点序列形式 



	Mat result0;

	Scalar holeColor;

	Scalar externalColor;



	vector<vector<Point> >::iterator iter = contours_set.begin();

	for (; iter != contours_set.end();)

	{

		Rect rect = boundingRect(*iter);

		float radius;

		Point2f center;

		minEnclosingCircle(*iter, center, radius);



		if (rect.area()> 0)

		{



			rectangle(inputImg, rect, Scalar(0, 255, 0));

			++iter;



		}

		else

		{

			iter = contours_set.erase(iter);

		}

	}



	imshow("showFire", inputImg);

	waitKey(0);

}