fonction.c

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#include "fonction.h"


void maj_angle(int vecX, int vecY, int rayon, double* angle){
    //On ajustera coeff fonction du rayon. Si la cible est à une distance 5*r, il sera 5x plus rapide que s'il était à 1*r

    double coeffx, coeffy;
    int l0, l1;

    //printf("-MAJ_ANGLE...Valeur maj_angle arguments : %d %d %d\n\tAnciens angles : %d %d\n\t",vecX,vecY,rayon,(int)angle[0],(int)angle[1]);


    //Ajout d'un angle moteur pondéré par la distance
    coeffx = -0.2*vecX/rayon;
    coeffy = 0.2*vecY/rayon;
    angle[0] += coeffx;
    angle[1] += coeffy;

    //Majoration - minoration des angles moteurs
    l0 = limite_moteur(angle[0]);
    l1 = limite_moteur(angle[1]);
    if (l0 != 0) angle[0] = l0;
    if (l1 != 0) angle[1] = l1;

    //printf("Nouveaux angles : %lf %lf %d %d\n",angle[0],angle[1],(int)angle[0],(int)angle[0]);
}

int ajust_pos(int pos, int ref){
    if (pos > ref) return 0;
    else return pos;
}

int limite_moteur(int val_pwm){
    int MAX_PWM = 130, MIN_PWM = 30;
    if (val_pwm > MAX_PWM){ 
        return MAX_PWM;
    }
    else if (val_pwm < MIN_PWM){
        return MIN_PWM;
    }
    else{
        return 0;
    }
}

void controle_moteur(double* angle){

    //Ouverture port serie
    FILE* fichier = NULL;
    fichier = fopen("/dev/ttyACM0","w");
    if(fichier==NULL){
        printf("Erreur ouverture fichier\n");
        perror("fopen failed for /dev/ttyACM0" );
        exit( EXIT_FAILURE );
    }

    //Ecriture angles
    fprintf(fichier,"%d\n",(int)angle[0]);
    fprintf(fichier,"%d\n",(int)angle[1]);

    //Fermeture
    fclose(fichier);
    return;
}

int image_CV2SFML(IplImage* imcv, sf::Image imFlux){
    
    int R, G, B;
    int w = imcv->widthStep;
    char* ptr = imcv->imageData;

    imFlux.create(imcv->width,imcv->height, NULL); //Initialise une image vide

    for( int y=0; y<imcv->height; y++ ) { 
            //uchar* ptr = (uchar*) ( imcv->imageData + y * imcv->widthStep );
            for( int x=0; x<imcv->width; x++ ) { 
                    //Recupération du pixel
            B = ptr[y*w + 3*x];
            G = ptr[y*w + 3*x + 1]; 
            R = ptr[y*w + 3*x + 2];

            //Ecriture du pixel associé
            imFlux.setPixel(x,y,sf::Color(R,G,B,1)); //Alpha channel = 1
            }
        }

    return 0;
}


void traitement(IplImage* frame, IplImage* HSV, IplImage* Binaire, int LowH, int HighH, int LowS, int HighS, int LowV, int HighV){ //Effectue une binarisation de frame en fonction des bornes HSV

    // Covert color space to HSV as it is much easier to filter colors in the HSV color-space.
        cvCvtColor(frame, HSV, CV_BGR2HSV);
    
    //Blur
    cvSmooth( HSV, HSV, CV_GAUSSIAN, 15, 0,0,0); //suppression des parasites par flou gaussien

    //Binarisation

    CvScalar valinf={(double)LowH,(double)LowS,(double)LowV};
    CvScalar valsup={(double)HighH,(double)HighS,(double)HighV};

        cvInRangeS(HSV, valinf,valsup, Binaire);
    
    //En cas d'erreur sur les trois ligne précédentes
    //cvInRangeS(HSV, CvScalar(LowH,LowS,LowV),CvScalar(HighH,HighS,HighV), Binaire);
      
        //cvSmooth( Binaire, Binaire, CV_GAUSSIAN, 9, 9 ); //Legère suppression des parasites
}

void Position_moy(IplImage* Binaire, int* posX, int * posY){ //Effectue le baricentre des pixels d'une image binaire pour obtenir la postion de l'objet

    CvMoments *moments = (CvMoments*)malloc(sizeof(CvMoments)); 

    cvMoments(Binaire, moments, 1); 
        // The actual moment values 
        double moment10 = cvGetSpatialMoment(moments, 1, 0); 
        double moment01 = cvGetSpatialMoment(moments, 0, 1); 
        double area = cvGetCentralMoment(moments, 0, 0);
        
        *posX = moment10/area;
        *posY = moment01/area;

    free(moments);
}

void config(int* LowH, int* HighH, int* LowS, int* HighS, int* LowV, int* HighV){ //Affiche le panneau de configuration de tracking avec les arguments comme valeur de base

    cvNamedWindow("Control", CV_WINDOW_AUTOSIZE); //create a window called "Control"

     //Create trackbars in "Control" window
     cvCreateTrackbar("LowH", "Control", LowH, 179,NULL); //Hue (0 - 179)
     cvCreateTrackbar("HighH", "Control", HighH, 179,NULL);

     cvCreateTrackbar("LowS", "Control", LowS, 255,NULL); //Saturation (0 - 255)
     cvCreateTrackbar("HighS", "Control", HighS, 255,NULL);

     cvCreateTrackbar("LowV", "Control", LowV, 255,NULL); //Value (0 - 255)
     cvCreateTrackbar("HighV", "Control", HighV, 255,NULL);
}

void affichage_config(IplImage* frame, IplImage* HSV, IplImage* Binaire){ //Affiche le flux vidéos et ses différent traitements
    
    // Create a window in which the captured images will be presented
    cvNamedWindow( "HSV", CV_WINDOW_AUTOSIZE );
    cvNamedWindow( "Binaire", CV_WINDOW_AUTOSIZE );
    cvNamedWindow( "Camera", CV_WINDOW_AUTOSIZE );

        cvShowImage( "HSV", HSV); // Original stream in the HSV color space
        cvShowImage( "Binaire", Binaire); // The stream after color filtering
    cvShowImage( "Camera", frame ); // Flux caméra avec tracking objet
}

void Affichage_Tracking(IplImage* frame, int posX, int posY, int width, int height){ //Dessine les informations de tracking sur frame

    //Affichage zone suivie objet
        cvCircle(frame, cvPoint(width/2,height/2), height*JEU, CV_RGB(0, 255, 0), 4, 8, 0 );

    if(posX<5&&posY<5){ //Si aucun objet spotted, pointeur rouge au centre
        posX=width/2;
        posY=height/2;
        cvLine(frame, cvPoint(posX-20,posY), cvPoint(posX+20,posY), CV_RGB(255, 0, 0), 4, 8, 0 );
    cvLine(frame, cvPoint(posX,posY-20), cvPoint(posX,posY+20), CV_RGB(255, 0, 0), 4, 8, 0 );
    }
    else{ //Objet spotted
    //Affichage position de l'objet
    cvLine(frame, cvPoint(posX-20,posY), cvPoint(posX+20,posY), CV_RGB(0, 0, 255), 4, 8, 0 );
    cvLine(frame, cvPoint(posX,posY-20), cvPoint(posX,posY+20), CV_RGB(0, 0, 255), 4, 8, 0 );
        }
}


CvHaarClassifierCascade* init_cascade(){
    // Create a new Haar classifier
    CvHaarClassifierCascade* cascade = 0;
    const char* cascade_name = "haarcascade_frontalface_alt.xml";

    
    cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 );

    // Check whether the cascade has loaded successfully. Else report and error and quit
    if( !cascade ){
        fprintf( stderr, "ERROR: Could not load classifier cascade\n" );
        perror(" ");
        return NULL;
    }
    return cascade;
}

// Function to detect and draw any faces that is present in an image
void detect_and_draw( IplImage* img, CvHaarClassifierCascade* cascade, face** tab_face)
{

    // Create memory for calculations
    static CvMemStorage* storage = 0;
    int scale = 1;

    // Create a new image based on the input image
    IplImage* temp = cvCreateImage( cvSize(img->width/scale,img->height/scale), 8, 3 );

    // Create two points to represent the face locations
    CvPoint pt1, pt2;
    int i;

    // Allocate the memory storage
    storage = cvCreateMemStorage(0);

    // Create a new named window with title: result
    cvNamedWindow( "result", 1 );

    // Clear the memory storage which was used before
    cvClearMemStorage( storage );

    // Find whether the cascade is loaded, to find the faces. If yes, then:
    if( cascade ){

        // There can be more than one face in an image. So create a growable sequence of faces.
        // Detect the objects and store them in the sequence
        CvSeq* faces = cvHaarDetectObjects( img, cascade, storage,1.1, 2, 0, cvSize(60, 60),cvSize(500, 500));

        //Reset faces
        tab_face[0]->largeur = 0;
        tab_face[1]->largeur = 0;

        // Loop the number of faces found.
        for( i = 0; i < (faces ? faces->total : 0); i++ ){
            // Create a new rectangle for drawing the face
            CvRect* r = (CvRect*)cvGetSeqElem( faces, i );

            // Find the dimensions of the face,and scale it if necessary
            pt1.x = r->x*scale;
            pt2.x = (r->x+r->width)*scale;
            pt1.y = r->y*scale;
            pt2.y = (r->y+r->height)*scale;

            // Draw the rectangle in the input image
            cvRectangle( img, pt1, pt2, CV_RGB(255,0,0), 3, 8, 0 );

            if(i < MAX_FACE){
                tab_face[i]->point.x = (pt1.x + pt2.x)/2;
                tab_face[i]->point.y = (pt1.y + pt2.y)/2;
                tab_face[i]->largeur = r->width;

                printf("VALEURS FACES n°%d : %d %d %d\n",i, tab_face[i]->point.x,tab_face[i]->point.y,tab_face[i]->largeur);
            }
        }
    }

    // Show the image in the window named "result"
    cvShowImage( "result", img );

    //free
    cvReleaseImage( &temp );
}

//Renvoie la couleur moyenne de rec_face
void get_color(IplImage* image, face* rec_face, int* BGR){
    printf("z\n");
    CvScalar colors;
    int largeur = rec_face->largeur;
printf("e\n");
    cvSetImageROI(image,cvRect(rec_face->point.x -largeur/2, rec_face->point.y -largeur/2, largeur,largeur));
printf("r\n");
    colors = cvAvg(image);
printf("t\n");
    cvResetImageROI(image);
printf("y\n");
    BGR[0] = colors.val[0];
    BGR[1] = colors.val[1];
    BGR[2] = colors.val[2];
printf("u\n");
}