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Ajout de la transition vers SFML (pas opti) + début de la transition opti

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AntoineUPMC 2017-05-09 16:44:50 +02:00
parent 4bf5661a84
commit 6f685e4f11
1 changed files with 53 additions and 24 deletions
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77
Code/KirbyTrack.c
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@ -10,8 +10,8 @@
#include <SFML/Audio.hpp>
#include <SFML/Graphics.hpp>
#define CONFIG
//#define SFML
//#define CONFIG
#define SFML
#define KIRBY
//#define ETOILE
@ -29,13 +29,14 @@ void Affichage_Tracking(IplImage* frame, int posX, int posY, int width, int heig
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
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
int image_CV2SFML(IplImage* imcv, sf::Image imsf); //Construction de imsf (RGBA) à partir de imcv (BGR), avec alpha constant (=1)
int image_CV2SFML(IplImage* imcv, sf::Image imFlux); //Construction de imsf (RGBA) à partir de imcv (BGR), avec alpha constant (=1)
int main(int argc, char* argv[])
{
int height,width,step,channels; //parameters of the image we are working on
int posX, posY; //Position objet
int boucle;
#ifdef SFML
//Initialisation SFML
@ -45,8 +46,6 @@ int main(int argc, char* argv[])
sf::Image imFlux;
sf::Event event;
//Création de la fenetre principale
sf::RenderWindow window(sf::VideoMode(800, 600), "KirbyTrack");
#endif
// Open capture device. 0 is /dev/video0, 1 is /dev/video1, etc.
@ -68,15 +67,15 @@ int main(int argc, char* argv[])
// capture size -
CvSize size = cvSize(width,height);
#ifdef SFML
//Intialisation de la texture
if (!txFlux.create(width, height)){
printf("Erreur création texture\n");
return EXIT_FAILURE;
}
//Création de la fenetre principale
sf::RenderWindow window(sf::VideoMode(width, height), "KirbyTrack");
#endif
// Initialize different images that are going to be used in the program
IplImage* hsv_frame = cvCreateImage(size, IPL_DEPTH_8U, 3); // image converted to HSV plane
IplImage* threshold = cvCreateImage(size, IPL_DEPTH_8U, 1);
@ -112,7 +111,7 @@ int main(int argc, char* argv[])
boucle = 1;
#endif
while(boucle)//while(window.isOpen())
while(boucle)
{
#ifdef SFML
@ -144,26 +143,34 @@ int main(int argc, char* argv[])
//Dessine les informations de tracking sur frame
Affichage_Tracking(frame, posX, posY, width, height);
#ifdef SFML
//Affichage SFML
/* Clear the screen */
window.clear(sf::Color::Black);
//Conversion de la frame en image smfl
if(image_CV2SFML(frame, imFlux)){
//Conversion de la frame en image smfl
/*if(image_CV2SFML(frame, imFlux)){
printf("Erreur conversion OpenCV-SFML\n");
break;
}
*/
//Enregistrement de la frame openCV
cvSaveImage("temp.jpg", frame);
//Chargement de la frame en texture SFML
if (!txFlux.loadFromFile("temp.jpg")){
printf("Erreur chargement image SFML\n" );
break;
}
spFlux.setTexture(txFlux);
window.draw(spFlux);
/* Update the window */
//window.display();
window.display();
//sfSprite_destroy(sprite);
//sfTexture_destroy(texture);
#endif
//controle_moteur(posX-width/2, posY-height/2, height/6); //Envoie commande moteur
@ -235,11 +242,32 @@ int limite_moteur(int val_pwm){
return 1;
}
}
/*
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
@ -251,11 +279,12 @@ void traitement(IplImage* frame, IplImage* HSV, IplImage* Binaire, int LowH, int
//Binarisation
//CvScalar valinf={LowH,LowS,LowV};
//CvScalar valsup={HighH,HighS,HighV};
CvScalar valinf={LowH,LowS,LowV};
CvScalar valsup={HighH,HighS,HighV};
//cvInRangeS(HSV, valinf,valsup, Binaire);
cvInRangeS(HSV, CvScalar(LowH,LowS,LowV),CvScalar(HighH,HighS,HighV), Binaire);
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
}