int CAMERA_MISC::setup() {
if(ready) return -1;
if(running) return -1;
//log = new Logger("camera.log");
capture = raspiCamCvCreateCameraCapture(0);
ready = true;
//log->writeLogLine("Camera set up sucessfully.");
return 0;
}
int CAMERA_VAR3::setup() {
if(ready) return -1;
if(running) return -1;
//log = new Logger("camera.log");
try {
CAMERA_COMMON::build_lookup_reduce_colourspace(lookup_reduce_colourspace);
CAMERA_COMMON::build_lookup_threshold(lookup_threshold, MIN_HUE, MAX_HUE, MIN_SAT, MAX_SAT, MIN_VAL, MAX_VAL);
//log->writeLogLine("Lookup tables built.");
} catch(...) {
//log->writeLogLine("Error building lookup tables.");
return -1;
}
capture = raspiCamCvCreateCameraCapture(0);
ready = true;
//log->writeLogLine("Camera set up sucessfully.");
return 0;
}
int main( int argc, char** argv )
{
// Medida de tiempo inicial
clock_t t0, t_load, t_loop, t_loop0;
double dtime;
t0 = clock();
// Declaration of variables
CascadeClassifier face_cascade; // Cascade Classifier
Mat captureFrame, grayscaleFrame; // Captured and converted to gray Frames
double x_face_pos, y_face_pos, area_face; // Coordinates of the detected face
vector< Rect_<int> > faces; // Vector of faces
#ifdef RASPBERRY
RaspiCamCvCapture * captureDevice; // Video input
#else
CvCapture * captureDevice; // Video input
#endif
char sTmp[255];
#ifdef TRACE
sprintf(sTmp,"\n Directorio de ejecucion del programa: ");
trace (sTmp);
cout << get_ProgramDirectory();
#endif
#ifdef RECOGNITION
// Declaration of variables Face recognition
string people[MAX_PEOPLE]; // Each person of the model of face recognition
int im_width, im_height; // heigh, witdh of 1st images of the model of face recognition
int prediction_seuil; // Prediction limit
Ptr<FaceRecognizer> model; // Model of face recognitio
// Prediction limit depending on the device
#ifdef EIGENFACES
prediction_seuil = 10;
#else
prediction_seuil = 1000;
#endif
// Model of face recognition
#ifdef EIGENFACES
model = createEigenFaceRecognizer();
#else
model = createFisherFaceRecognizer();
#endif
// Read measures file
read_measures_file(im_width, im_height, '=');
// Read people file
read_people_file(people, '(', ')', '=');
// Load model
load_model_recognition(model);
t_load = clock();
#ifdef DEBUG
dtime = difftime(t_load,t0);
sprintf(sTmp,"\n (Face Tracking) tiempo de carga del modelo = ");
debug(sTmp);
cout << print_time(dtime);
#endif
#endif
// Video input depending on the device
#ifdef RASPBERRY
captureDevice = raspiCamCvCreateCameraCapture(0); // Index doesn't really matter
#else
captureDevice = cvCreateCameraCapture(0);
#endif
// Load of Haar Cascade
if (!load_haar_cascade(face_cascade)) { return -1;}
// Create new window
SHOW cvNamedWindow("Face tracking", 1);
do {
t_loop0 = clock();
#ifdef RASPBERRY
IplImage* image = raspiCamCvQueryFrame(captureDevice); // Get images from the video input
#else
IplImage* image = cvQueryFrame(captureDevice); // Get images from the video input
#endif
captureFrame = cvarrToMat(image); // Convert images to Mat
cvtColor(captureFrame, grayscaleFrame, CV_RGB2GRAY); // Convert the image to gray scale
// Detection and Face Recognition
face_detection(face_cascade, grayscaleFrame, captureFrame, &faces, x_face_pos, y_face_pos, area_face);
#ifdef RECOGNITION
// Detection and Face Recognition
face_recognition(people, grayscaleFrame, captureFrame, &faces, im_width, im_height, model,
prediction_seuil, x_face_pos, y_face_pos, area_face);
#endif
// Display results
#ifdef SHOW
imshow("Face tracking", captureFrame);
#endif
t_loop = clock();
#ifdef DEBUG
dtime = difftime(t_loop,t_loop0);
sprintf(sTmp,"\n (Face Tracking) tiempo del bucle del reconocimiento de cara = ");
debug(sTmp);
cout << print_time(dtime);
#endif
} while(cvWaitKey(10) < 0);
// Destroy window
#ifdef SHOW
cvDestroyWindow("Face tracking");
#endif
#ifdef TRACE
trace ("\n");
#endif
#ifdef RASPBERRY
raspiCamCvReleaseCapture(&captureDevice);
#else
cvReleaseCapture(&captureDevice);
#endif
return 0;
}
