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C++ Discussion :

OpenCV - erreurs de compilations


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    Par défaut OpenCV - erreurs de compilations
    Bonjour,

    En essayant de compiler le code suivant :
    Code : Sélectionner tout - Visualiser dans une fenêtre à part
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    #include <stdio.h>
    #include <stdlib.h>
    #include <math.h>
    #include <string.h>
    #include <time.h>
    #include "GCoptimization.h"
     
    #include "opencv/cv.h"
    #include "opencv/highgui.h"
    #include "opencv/ml.h"
     
    using namespace cv;
     
    #include <vector>
    #include <iostream>
    #include <limits>
     
    using namespace std;
     
    #define __PI 3.14159265
     
    void graphcut(Mat& featureVec, Mat& im, int num_lables) {
    	Mat lables, centers;
    	cout << "Kmeans: #centers = " << num_lables << ",#tries = 2...";
    	kmeans(featureVec,
    		num_lables,
    		lables,
    		TermCriteria(TermCriteria::MAX_ITER + TermCriteria::EPS, 200, 0.0001),
    		2,
    		KMEANS_PP_CENTERS,centers);
    	cout << "Done" << endl;
     
    	for (int i = 0; i<num_lables; i++) {
    		cout << "center " << i << ": ";
    		for (int j = 0; j<centers.cols; j++) cout << centers.at<float>(i, j) << ",";
    		cout << endl;
    	}
     
    #ifdef BTM_DEBUG
    	{
    		Mat _tmp = lables.reshape(1, im.rows);
    		Mat _tmpUC;
    		_tmp.convertTo(_tmpUC, CV_8UC1, 255.0 / (double)num_lables);
    		imshow("tmp", _tmpUC);
    		waitKey();
    	}
    #endif
     
    	GCoptimizationGridGraph *gc = new GCoptimizationGridGraph(im.cols, im.rows, num_lables);
     
    	Mat _d(featureVec.size(), CV_32FC1);
     
    	for (int center = 0; center < num_lables; center++) {
    		_d.setTo(Scalar(0));
    		int count = 0;
    		for (int i = 0, ii = 0; i<featureVec.rows; i++) {
    			if (((int*)lables.data)[i] == center) {
    				float* dptr = (float*)(_d.data + _d.step * (ii++));
    				float* fptr = (float*)(featureVec.data + featureVec.step * i);
     
    				for (int j = 0; j<featureVec.cols; j++) {
    					dptr[j] = fptr[j];
    				}
     
    				count++;
    			}
    		}
     
    		Mat d = _d(Rect(0, 0, _d.cols, count));
     
    		Mat covar;
    		calcCovarMatrix(d, covar, Mat(), CV_COVAR_NORMAL + CV_COVAR_ROWS, CV_32F);
     
    		Mat icv = covar.inv();
    		Mat centerRepeat;
    		repeat(centers(Rect(0, center, centers.cols, 1)), featureVec.rows, 1, centerRepeat);
    		Mat diff = featureVec - centerRepeat; //difference between each pixel's value and it's center's value
     
    		Mat A = (diff*icv).mul(diff) * 0.5f;
    		for (int i = 0; i<A.rows; i++) {
    			float* _ptr = (float*)(A.data + A.step * i);
    			float cost = 0;
     
    			for (int j = 0; j<A.cols; j++) {
    				cost += _ptr[j];
    			}
     
    			int icost = MAX(0, (int)floor(-log(cost)));
    			gc->setDataCost(i, center + 1, icost);
    		}
    	}
     
    	//int *smooth = new int[num_lables*num_lables];
    	//int cost;
    	//for ( int l1 = 0; l1 < num_lables; l1++ )
    	//	for (int l2 = 0; l2 < num_lables; l2++ ){
    	//		cost = (l1-l2)*(l1-l2) <= 4  ? (l1-l2)*(l1-l2):4;
    	//		//Mat _a = centers(Rect(0,l1,centers.cols,1)) - centers(Rect(0,l2,centers.cols,1));
    	//		//float n = (float)norm(_a);
    	//		//if(n==0)	cost = 0;
    	//		//else		cost = (int)ceil(-log(n));
    	//		smooth[l1+l2*num_lables] = cost;
    	//	}
     
     
    	//Mat gk = getGaussianKernel(3,-1,CV_32F);
    	//gk = gk * gk.t();
    	//cv::Sobel(gk,gk,-1,1,0);
    	Mat gray; cvtColor(im, gray, CV_RGB2GRAY);
    	//imshow("tmp",gray); waitKey();
    	gray.convertTo(gray, CV_32FC1, 1.0f / 255.0f);
    	//imshow("tmp",gray); waitKey();
     
    	Mat grayInt, grayInt1;
    	{
    		Mat _tmp;
    		//filter2D(gray,_tmp,CV_32F,gk);
    		Sobel(gray, _tmp, -1, 1, 0);	//sobel for dx
    		//Canny(gray,_tmp,50.0,150.0);
    		_tmp = abs(_tmp);
    #ifdef BTM_DEBUG
    		imshow("tmp", _tmp); waitKey();
    #endif
    		double maxVal, minVal;
    		minMaxLoc(_tmp, &minVal, &maxVal);
    		cv::log((_tmp - minVal) / (maxVal - minVal), _tmp);
    		_tmp = -_tmp * 0.35;
     
    		_tmp.convertTo(grayInt, CV_32SC1);
     
    		//grayInt = grayInt * 5;
     
    		//filter2D(gray,_tmp,CV_32F,gk.t());
    		Sobel(gray, _tmp, -1, 0, 1);	//sobel for dy
    		//Canny(gray,_tmp,50.0,150.0);
    		_tmp = abs(_tmp);
    #ifdef BTM_DEBUG
    		imshow("tmp", _tmp); waitKey();
    #endif
    		minMaxLoc(_tmp, &minVal, &maxVal);
    		cv::log((_tmp - minVal) / (maxVal - minVal), _tmp);
    		_tmp = -_tmp * 0.35;
    		_tmp.convertTo(grayInt1, CV_32SC1);
     
    		//grayInt1 = grayInt1 * 5;
    	}
     
    	//// next set up spatially varying arrays V and H
    	//int *V = new int[featureVec.rows];
    	//int *H = new int[featureVec.rows];
     
    	//
    	//for ( int i = 0; i < featureVec.rows; i++ ){
    	//	//H[i] = i+(i+1)%im.rows;
    	//	//V[i] = i*(i+im.cols)%im.cols;
    	//	H[i] = 1;
    	//	V[i] = 1;
    	//}
     
    	Mat Sc = 10 * (Mat::ones(num_lables, num_lables, CV_32SC1) - Mat::eye(num_lables, num_lables, CV_32SC1));
     
    	gc->setSmoothCostVH((double*)(Sc.data), (double*)grayInt.data, (double*)grayInt1.data);
    	//gc->setSmoothCost((int*)(Sc.data));
     
    	while (true) {
    		printf("\nBefore optimization energy is %d", gc->compute_energy());
    		gc->expansion(1);// run expansion for 2 iterations. For swap use gc->swap(num_iterations);
    		printf("\nAfter optimization energy is %d", gc->compute_energy());
     
    		for (int i = 0; i < featureVec.rows; i++)
    			((int*)(lables.data + lables.step * i))[0] = gc->whatLabel(i);
     
    		{
    			Mat _tmp = lables.reshape(1, im.rows);
    #ifdef BTM_DEBUG
    			{
    				Mat _tmpUC;
    				_tmp.convertTo(_tmpUC, CV_8UC1, 255.0 / (double)num_lables);
    				vector<Mat> chns; split(im, chns);
    				for (unsigned int ch = 0; ch<chns.size(); ch++)
    				{
    					chns[ch] = /*chns[ch] + */(_tmp == ch)/**0.5*/;
    				}
    				cv::merge(chns, _tmpUC);
    				imshow("tmp", _tmpUC);
    				int c = waitKey();
    				if (c == 'q') break;
    			}
    #endif
    		}
    	}
     
    	delete gc;
    	//delete[] smooth;
    	//delete[] V;
    	//delete[] H;
     
    	//printf("%d\n",reshaped.rows);
    }
     
     
    void graphcut1(Mat& im, Mat& probs, Mat& dx, Mat& dy, int num_lables, Mat& lables = Mat()) {
    	GCoptimizationGridGraph gc(im.cols, im.rows, num_lables);
     
    	int N = im.cols*im.rows;
    	//probs = probs.reshape(1,N);
    	double log2 = log(1.3);
    	for (int i = 0; i<N; i++) {
    		double* ppt = probs.ptr<double>(i);
    		for (int l = 0; l<num_lables; l++) {
    			int icost = MAX(0, (int)floor(-log(ppt[l]) / log2));
    			gc.setDataCost(i, l, icost);
    		}
    	}
     
    	Mat Sc = 5 * (Mat::ones(num_lables, num_lables, CV_32SC1) - Mat::eye(num_lables, num_lables, CV_32SC1));
    	//int score[9] = {0,50,50,
    	//				50,0,50,
    	//				50,50,0};
    	gc.setSmoothCostVH((double*)(/*score*/Sc.data), (double*)dx.data, (double*)dy.data);
     
    	lables.create(N, 1, CV_8UC1);
     
    	while (true) {
    		printf("\nBefore optimization energy is %d\n", gc.compute_energy());
    		gc.expansion(1);// run expansion for 2 iterations. For swap use gc->swap(num_iterations);
    		printf("\nAfter optimization energy is %d\n", gc.compute_energy());
     
    		for (int i = 0; i < N; i++)
    			((uchar*)(lables.data + lables.step * i))[0] = gc.whatLabel(i);
     
    		{
    			Mat _tmp = lables.reshape(1, im.rows);
    			{
    				vector<Mat> chns(3);
    				for (unsigned int ch = 0; ch<chns.size(); ch++) chns[ch] = (_tmp == ch);
    				Mat _tmpUC; cv::merge(chns, _tmpUC);
    				imshow("tmp", _tmpUC);
    				cout << "Press 'q' to finish GC iterations" << endl;
    				int c = waitKey();
    				if (c == 'q') break;
    			}
    		}
    	}
     
     
    }
     
    int selectedRange = 0;
    Range rs[6] = { Range(40, 164), Range(56, 149), Range(192, 241), Range(32, 185), Range(16, 169), Range(163, 206) };
    bool draw = false;
     
    void on_mouse(int event, int x, int y, int flags, void* param)
    {
    	Mat* pm = (Mat*)param;
    	switch (event)
    	{
    	case CV_EVENT_LBUTTONDOWN:
    	{
    		rs[selectedRange * 2].start = min(max(0, y), pm->cols - 1);
    		rs[selectedRange * 2 + 1].start = min(max(0, x), pm->rows - 1);
    		cout << "Begin " << x << "," << y << endl;
    		draw = true;
    	}
    		break;
    	case CV_EVENT_RBUTTONDOWN:
     
    		break;
    	case CV_EVENT_LBUTTONUP:
    	{
    		rs[selectedRange * 2].end = min(max(0, y), pm->cols - 1);
    		rs[selectedRange * 2 + 1].end = min(max(0, x), pm->rows - 1);
    		cout << "End " << x << "," << y << endl;
    		draw = false;
    	}
    		break;
    	case CV_EVENT_RBUTTONUP:
     
    		break;
    	case CV_EVENT_MOUSEMOVE:
    		if (draw) {
    			Mat _tmp; (*((Mat*)param)).copyTo(_tmp);
    			if (selectedRange != 0)
    				rectangle(_tmp, Point(rs[1].start, rs[0].start), Point(rs[1].end, rs[0].end), Scalar(255, 0, 0), 2);
    			else
    				rectangle(_tmp, Point(rs[1].start, rs[0].start), Point(x, y), Scalar(255, 0, 0), 2);
    			if (selectedRange != 1)
    				rectangle(_tmp, Point(rs[3].start, rs[2].start), Point(rs[3].end, rs[2].end), Scalar(0, 255, 0), 2);
    			else
    				rectangle(_tmp, Point(rs[3].start, rs[2].start), Point(x, y), Scalar(0, 255, 0), 2);
    			imshow("tmp1", _tmp);
    		}
    		break;
    	}
    }
     
    void getEdges(Mat& gray, Mat& grayInt, Mat& grayInt1) {
    	Mat _tmp, _tmp1, gray32f, res;
     
    	gray.convertTo(gray32f, CV_32FC1, 1.0 / 255.0);
     
    	GaussianBlur(gray32f, gray32f, Size(11, 11), 0.75);
     
    	Sobel(gray32f, _tmp, -1, 1, 0, 3);	//sobel for dx
    	//Sobel(gray32f,_tmp1,-1,1,0,3,-1.0);	//sobel for -dx
    	//_tmp = abs(_tmp) + abs(_tmp1);
    	//_tmp.copyTo(_tmp,(_tmp > 0.0));
    	//_tmp1.copyTo(_tmp1,(_tmp1 > 0.0));
    	_tmp1 = abs(_tmp); // + (_tmp1 == 0.0);
    	_tmp1.copyTo(res, (_tmp1 > 0.2));
    	//res = -res + 1.0;
     
    	imshow("tmp", res);
     
    	double maxVal, minVal;
    	minMaxLoc(_tmp, &minVal, &maxVal);
    	cv::log(/*(_tmp - minVal) / (maxVal - minVal)*/res, _tmp);
    	_tmp = -_tmp * 0.17;
    	_tmp.convertTo(grayInt1, CV_32SC1);
     
    	Sobel(gray32f, _tmp, -1, 0, 1, 3);	//sobel for dy
    	//Sobel(gray32f,_tmp1,-1,0,2,3,-1.0);	//sobel for -dy
    	//_tmp = abs(_tmp) + abs(_tmp1);
    	//_tmp = (_tmp + _tmp1 + 2.0) / 4.0;
    	_tmp1 = abs(_tmp);
    	res.setTo(Scalar(0));
    	_tmp1.copyTo(res, (_tmp1 > 0.2));
    	//res = -res+1.0;
     
    	imshow("tmp1", res); waitKey();
     
    	minMaxLoc(_tmp, &minVal, &maxVal);
    	cv::log(/*(_tmp - minVal) / (maxVal - minVal)*/res, _tmp);
    	_tmp = -_tmp * 0.17;
    	_tmp.convertTo(grayInt, CV_32SC1);
     
    }
     
    void doEM3D(Mat& _im, Mat& probs, int num_models = 2, int num_gaussians = 3, bool useRanges = true) {
    	Mat im = _im;
    	vector<CvEM> model(num_models);
    	double CvEMParams; double ps(num_gaussians);
     
    	imshow("tmp1", im);
     
    	vector<Mat> samples(num_models);
    	while (true) {
    		if (useRanges) {
    			cout << "Define ranges (press <space> to continue)" << endl;
    			while (true) {
    				int c = waitKey();
    				if (c == ' ') break;
    				else selectedRange = c - '1';
    				cout << "Selected range: " << selectedRange << endl;
    			}
     
    			vector<Mat> splitted;
    			for (int i = 0; i<num_models; i++) {
    				Mat _tmp; im(rs[i * 2], rs[i * 2 + 1]).copyTo(_tmp);
    				_tmp.reshape(1, _tmp.rows*_tmp.cols).convertTo(samples[i], CV_32FC1, 1.0 / 255.0);
    			}
    		}
     
    		for (int i = 0; i<num_models; i++) {
    			model[i].clear();
    			model[i].train(samples[i], Mat(), ps, NULL);
     
    			cout << "Model " << i << " means: ";
    			const CvMat* m = model[i].get_means();
    			for (int g = 0; g<num_gaussians; g++) {
    				for (int c = 0; c<3; c++) cout << m->data.db[g * 3 + c] << ", ";
    				cout << endl;
    			}
    			cout << endl;
    		}
     
    		Mat out_lables(im.size(), CV_32FC1);
    		float _s[3];
    		Mat sample(1, 3, CV_32FC1, &_s);
     
    		probs = Mat(im.rows*im.cols, num_models, CV_64FC1);
    		{
    			Mat _tmp(1, 2, CV_64FC1);
    			for (int y = 0; y<im.rows; y++) {
    				uchar* imp = im.ptr<uchar>(y);
    				float* outl_ptr = out_lables.ptr<float>(y);
    				int probs_mult = y*im.cols;
    				for (int x = 0; x<im.cols; x++) {
    					float _label, maxv = std::numeric_limits<float>::min();
    					double p;
    					int probs_mult1 = x*num_models;
    					for (int i = 0; i<num_models; i++) {
    						float ps[3];
    						for (int c = 0; c<3; c++) {
    							_s[c] = ((float)imp[c + x * 3]) / 255.0f;
    						}
     
    						Mat X; sample.copyTo(X);
    						Mat xprob;
    						model[i].predict(X, &xprob);
    						double* w = model[i].get_weights()->data.db;
    						p = std::numeric_limits<double>::min();
    						for (int g = 0; g<num_gaussians; g++) p = max(p, w[g] * (double)(((float*)xprob.data)[g]));
     
    						probs.at<double>(probs_mult + x, i) = p;
    						if (p>maxv) { maxv = p; _label = (float)i; }
    					}
    					outl_ptr[x] = _label;
    				}
    			}
    		}
     
    		{
    			Mat _tmp(im.size(), CV_8UC1);
    			out_lables.convertTo(_tmp, CV_8UC1);
    			vector<Mat> vm(3); for (int i = 0; i<3; i++) vm[i] = (_tmp == i);
    			Mat out; merge(vm, out);
    			imshow("tmp", out);
     
    			if (num_models == 3)
    				imshow("tmp2", probs.reshape(num_models, im.rows));
    		}
     
    		cout << "Press any key for another round or 'q' to finish" << endl;
    		int c = waitKey();
    		if (c == 'q') break;
    	}
    }
     
    /**
    * if useRanges is true, use the mouse to define ranges, else use the labeling from lables
    * to train the GMM
    */
    void doEM1D(Mat& _im, Mat& probs, int num_models = 2, bool useRanges = true, Mat& lables = Mat()) {
    	//Mat im; cvtColor(_im,im,CV_RGB2HSV);
    	Mat im = _im;
    	vector<vector<CvEM>> model(num_models);
    	for (int i = 0; i<num_models; i++) {
    		model[i] = vector<CvEM>(3);
    	}
    	double CvEMParams;
    	double ps(1);
     
    	imshow("tmp1", im);
     
    	vector<vector<Mat>> samples(num_models);
    	for (int i = 0; i<num_models; i++) samples[i] = vector<Mat>(3);
    	while (true) {
    		if (useRanges) {
    			cout << "Define ranges (press <space> to continue)" << endl;
    			while (true) {
    				int c = waitKey();
    				if (c == ' ') break;
    				else selectedRange = c - '1';
    				cout << "Selected range: " << selectedRange << endl;
    			}
     
    			vector<Mat> splitted;
    			for (int i = 0; i<num_models; i++) {
    				int cnt = 0;
    				Mat _tmp; im(rs[i * 2], rs[i * 2 + 1]).copyTo(_tmp);
    				//Mat __tmp = _tmp.reshape(1,_tmp.rows*_tmp.cols);
    				split(_tmp, splitted);
    				for (int c = 0; c<3; c++)
    					splitted[c].reshape(1, _tmp.rows*_tmp.cols).convertTo(samples[i][c], CV_32FC1, 1.0 / 255.0);
    			}
    		}
     
    		for (int i = 0; i<num_models; i++) {
    			for (int c = 0; c<3; c++) {
    				model[i][c].clear();
    				model[i][c].train(samples[i][c], Mat(), ps, NULL);
    				//m_probs[i] = model[i].get_probs();
    			}
     
    			cout << "Model " << i << " means: ";
    			for (int c = 0; c<3; c++) cout << model[i][c].get_means()->data.db[0] << ", ";
    			cout << endl;
    		}
     
    		Mat out_lables(im.size(), CV_32FC1);
    		float _s;
    		Mat sample(1, 1, CV_32FC1, &_s);
     
    		probs = Mat(im.rows*im.cols, num_models, CV_64FC1);
    		{
    			Mat _tmp(1, 2, CV_64FC1);
    			for (int y = 0; y<im.rows; y++) {
    				uchar* imp = im.ptr<uchar>(y);
    				float* outl_ptr = out_lables.ptr<float>(y);
    				int probs_mult = y*im.cols;
    				for (int x = 0; x<im.cols; x++) {
    					float _label, p, maxv = std::numeric_limits<float>::min();
    					int probs_mult1 = x*num_models;
    					for (int i = 0; i<num_models; i++) {
    						float ps[3];
    						for (int c = 0; c<3; c++) {
    							_s = ((float)imp[c + x * 3]) / 255.0f;
    							//model[i][c].predict(sample,&_tmp);
    							double mu = model[i][c].get_means()->data.db[0];
    							double x = (double)_s;
    							double sigma_sq = model[i][c].get_covs()[0]->data.db[0];
    							double _p = (1 / sqrt(2 * __PI*sigma_sq))*exp(-((x - mu)*(x - mu)) / (2 * sigma_sq));
    							ps[c] = (float)_p; //((double*)_tmp.data)[0];
    						}
    						p = ps[0] * ps[1] * ps[2];
    						//((double*)probs.data + probs_mult + probs_mult1 + i)[0] = p;
    						probs.at<double>(probs_mult + x, i) = p;
    						if (p>maxv) { maxv = p; _label = (float)i; }
    					}
    					outl_ptr[x] = _label;
    				}
    			}
    		}
     
    		{
    			Mat _tmp(im.size(), CV_8UC1);
    			out_lables.convertTo(_tmp, CV_8UC1);
    			vector<Mat> vm(3); for (int i = 0; i<3; i++) vm[i] = (_tmp == i);
    			Mat out; merge(vm, out);
    			imshow("tmp", out);
     
    			if (num_models == 3)
    				imshow("tmp2", probs.reshape(num_models, im.rows));
    		}
     
    		cout << "Press any key for another round or 'q' to finish" << endl;
    		int c = waitKey();
    		if (c == 'q') break;
    	}
    }
     
    int main(int argc, char** argv) {
    	Mat _im = imread("40406598_fd4e74d51c_d.jpg");
    	Mat im;
    	resize(_im, im, Size(_im.cols / 2, _im.rows / 2));
     
    	rs[4] = Range(0, im.rows - 1);
    	rs[5] = Range(0, im.cols - 1);
     
    	namedWindow("tmp");
    	namedWindow("tmp1");
    	cvSetMouseCallback("tmp1", on_mouse, &im);
    	namedWindow("tmp2");
     
    	Mat gray;
    	cvtColor(im, gray, CV_RGB2GRAY);
     
    	Mat probs;
    	Mat hsv_im; cvtColor(im, hsv_im, CV_BGR2HSV);
    	vector<Mat> v; split(hsv_im, v);
     
    	{
    		Mat gray32f; gray.convertTo(gray32f, CV_32FC1, 1.0 / 255.0);
    		Mat _tmp; Sobel(gray32f, _tmp, -1, 1, 1, 3);
    		Mat _tmp1; Sobel(gray32f, _tmp1, -1, 1, 1, 3, -1.0);
    		Mat(abs(_tmp) + abs(_tmp1)).convertTo(v[2], CV_8UC1, 255.0);
    	}
     
    	Mat combined; cv::merge(v, combined);
    	doEM3D(combined, probs, 3);
     
    	Mat dx, dy;
    	getEdges(gray, dx, dy);
     
    	Mat lables;
    	graphcut1(im, probs, dx, dy, 3, lables);
     
    	char* winnm[3] = { "tmp", "tmp1", "tmp2" };
    	for (int i = 0; i<3; i++)
    	{
    		Mat _tmp; im.copyTo(_tmp, lables == i);
    		imshow(string(winnm[i]), _tmp);
    	}
    	waitKey();
     
    	{
    		Mat _tmpLabels = lables.reshape(1, im.rows);
    		//find connected components in hair and face masks
    		vector<vector<Point>> contours;
    		for (int itr = 0; itr<2; itr++) {
    			Mat mask = (_tmpLabels == itr);
     
    			contours.clear();
    			cv::findContours(mask, contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);
     
    			//compute areas
    			vector<double> areas(contours.size());
    			for (unsigned int ai = 0; ai<contours.size(); ai++) {
    				Mat _pts(contours[ai]);
    				Scalar mp = mean(_pts);
     
    				//bias score according to distance from center face
    				areas[ai] = contourArea(Mat(contours[ai]))/* * bias.at<double>(mp.val[1],mp.val[0])*/;
    			}
     
    			//find largest connected component
    			double max; Point maxLoc;
    			minMaxLoc(Mat(areas), 0, &max, 0, &maxLoc);
     
    			//draw back on mask
    			_tmpLabels.setTo(Scalar(3), mask);	//all unassigned pixels will have value of 3, later we'll use it
     
    			mask.setTo(Scalar(0)); //clear...
    			drawContours(mask, contours, maxLoc.y, Scalar(255), CV_FILLED);
     
    			_tmpLabels.setTo(Scalar(itr), mask);
    		}
     
    		lables.setTo(Scalar(2), lables == 3);  //all 3's should be the "other label"
    	}
     
    	for (int i = 0; i<3; i++)
    	{
    		Mat _tmp; im.copyTo(_tmp, lables == i);
    		imshow(string(winnm[i]), _tmp);
    	}
    	waitKey();
     
    	return 0;
    }
    je rencontre ces erreurs :
    Erreur 1 error C2065: 'CvEM'*: identificateur non déclaré c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 341 1 ConsoleApplication3
    Erreur 2 error C2923: 'std::vector'*: 'CvEM' n'est pas un argument de type modèle valide pour le paramètre '_Ty' c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 341 1 ConsoleApplication3
    Erreur 3 error C2514: 'std::vector'*: la classe n'a aucun constructeur c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 341 1 ConsoleApplication3
    Erreur 4 error C2678: '[' binaire*: aucun opérateur trouvé qui accepte un opérande de partie gauche de type 'std::vector' (ou il n'existe pas de conversion acceptable) c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 365 1 ConsoleApplication3
    Erreur 5 error C2228: la partie gauche de '.clear' doit avoir un class/struct/union c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 365 1 ConsoleApplication3
    Erreur 6 error C2678: '[' binaire*: aucun opérateur trouvé qui accepte un opérande de partie gauche de type 'std::vector' (ou il n'existe pas de conversion acceptable) c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 366 1 ConsoleApplication3
    Erreur 7 error C2228: la partie gauche de '.train' doit avoir un class/struct/union c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 366 1 ConsoleApplication3
    Erreur 8 error C2678: '[' binaire*: aucun opérateur trouvé qui accepte un opérande de partie gauche de type 'std::vector' (ou il n'existe pas de conversion acceptable) c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 369 1 ConsoleApplication3
    Erreur 9 error C2228: la partie gauche de '.get_means' doit avoir un class/struct/union c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 369 1 ConsoleApplication3
    Erreur 10 error C2678: '[' binaire*: aucun opérateur trouvé qui accepte un opérande de partie gauche de type 'std::vector' (ou il n'existe pas de conversion acceptable) c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 400 1 ConsoleApplication3
    Erreur 11 error C2228: la partie gauche de '.predict' doit avoir un class/struct/union c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 400 1 ConsoleApplication3
    Erreur 12 error C2678: '[' binaire*: aucun opérateur trouvé qui accepte un opérande de partie gauche de type 'std::vector' (ou il n'existe pas de conversion acceptable) c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 401 1 ConsoleApplication3
    Erreur 13 error C2228: la partie gauche de '.get_weights' doit avoir un class/struct/union c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 401 1 ConsoleApplication3
    Erreur 14 error C2227: la partie gauche de '->data' doit pointer vers un type class/struct/union/générique c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 401 1 ConsoleApplication3
    Erreur 15 error C2228: la partie gauche de '.db' doit avoir un class/struct/union c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 401 1 ConsoleApplication3
    Avertissement 16 warning C4244: '='*: conversion de 'double' en 'float', perte possible de données c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 406 1 ConsoleApplication3
    Erreur 17 error C2065: 'CvEM'*: identificateur non déclaré c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 437 1 ConsoleApplication3
    Erreur 18 error C2923: 'std::vector'*: 'CvEM' n'est pas un argument de type modèle valide pour le paramètre '_Ty' c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 437 1 ConsoleApplication3
    Erreur 19 error C3203: 'vector'*: la classe modèle non spécialisée ne peut pas être utilisée comme argument modèle pour le paramètre modèle '_Ty'*; type réel attendu c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 437 1 ConsoleApplication3
    Erreur 20 error C2065: 'CvEM'*: identificateur non déclaré c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 439 1 ConsoleApplication3
    Erreur 21 error C2923: 'std::vector'*: 'CvEM' n'est pas un argument de type modèle valide pour le paramètre '_Ty' c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 439 1 ConsoleApplication3
    Erreur 22 error C2955: 'std::vector'*: l'utilisation de classe modèle requiert une liste d'arguments modèle c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 439 1 ConsoleApplication3
    Erreur 23 error C2109: un indice requiert un type tableau ou pointeur c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 471 1 ConsoleApplication3
    Erreur 24 error C2228: la partie gauche de '.clear' doit avoir un class/struct/union c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 471 1 ConsoleApplication3
    Erreur 25 error C2109: un indice requiert un type tableau ou pointeur c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 472 1 ConsoleApplication3
    Erreur 26 error C2228: la partie gauche de '.train' doit avoir un class/struct/union c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 472 1 ConsoleApplication3
    Erreur 27 error C2109: un indice requiert un type tableau ou pointeur c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 477 1 ConsoleApplication3
    Erreur 28 error C2228: la partie gauche de '.get_means' doit avoir un class/struct/union c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 477 1 ConsoleApplication3
    Erreur 29 error C2227: la partie gauche de '->data' doit pointer vers un type class/struct/union/générique c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 477 1 ConsoleApplication3
    Erreur 30 error C2228: la partie gauche de '.db' doit avoir un class/struct/union c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 477 1 ConsoleApplication3
    Erreur 31 error C2109: un indice requiert un type tableau ou pointeur c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 500 1 ConsoleApplication3
    Erreur 32 error C2228: la partie gauche de '.get_means' doit avoir un class/struct/union c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 500 1 ConsoleApplication3
    Erreur 33 error C2227: la partie gauche de '->data' doit pointer vers un type class/struct/union/générique c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 500 1 ConsoleApplication3
    Erreur 34 error C2228: la partie gauche de '.db' doit avoir un class/struct/union c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 500 1 ConsoleApplication3
    Erreur 35 error C2109: un indice requiert un type tableau ou pointeur c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 502 1 ConsoleApplication3
    Erreur 36 error C2228: la partie gauche de '.get_covs' doit avoir un class/struct/union c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 502 1 ConsoleApplication3
    Erreur 37 error C2227: la partie gauche de '->data' doit pointer vers un type class/struct/union/générique c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 502 1 ConsoleApplication3
    Erreur 38 error C2228: la partie gauche de '.db' doit avoir un class/struct/union c:\users\s\documents\visual studio 2013\projects\consoleapplication3\consoleapplication3\graphcut.cpp 502 1 ConsoleApplication3
    39 IntelliSense*: identificateur "CvEM" non défini c:\Users\s\Documents\Visual Studio 2013\Projects\ConsoleApplication3\ConsoleApplication3\graphcut.cpp 341 9 ConsoleApplication3
    40 IntelliSense*: identificateur "CvEM" non défini c:\Users\s\Documents\Visual Studio 2013\Projects\ConsoleApplication3\ConsoleApplication3\graphcut.cpp 437 16 ConsoleApplication3
    41 IntelliSense*: identificateur "CvEM" non défini c:\Users\s\Documents\Visual Studio 2013\Projects\ConsoleApplication3\ConsoleApplication3\graphcut.cpp 439 21 ConsoleApplication3
    pourriez-vous m'aidez à les corriger s'il vous plaît ?
    Merci.

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    Bin, on commence par le début.

    La class "CvEM" est définie dans quel .h ?

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