int main (){
int vector[100];
int i,cont,resultado ,num, largo=100;
cont=0;
for (i=0;i<100;i++){
//cont ++;
vector[i] = cont;
cont ++;
}
printf("Ingrese un numero entre 1 y 100:");
fflush(stdout);
scanf("%d",&num);
fflush(stdin);
resultado= dicotomica(vector,num,largo);
printf("se encontro el numero depues de %d pasos\n", resultado);
resultado = secuencial(vector, num,largo);
printf("se encontro el numero depues de %d pasos\n", resultado);
return 0;
}
int main(int argc, char *argv[]) {
IplImage *img1,*img2;
double elapsed;
uint height, width, step, channels;
uchar *data;
int i;
uint channel;
if(argc != 3) {
printf("wave <modelo> <imagen>\n");
exit(1);
}
// wavelet model
wavelet = (struct wavelet *) NULL;
if(! strcmp(argv[1],"haar"))
wavelet = &haar;
if(! strcmp(argv[1],"daub4"))
wavelet = &daub4;
if(! strcmp(argv[1],"db3"))
wavelet = &db3;
if(! wavelet)
debug("No se conoce el modelo (haar, daub4)", 0);
// load an image
img1=cvLoadImage(argv[2],1);
if(!img1){
printf("Could not load image file: %s\n",argv[1]);
exit(0);
}
// get the image data
height = img1->height;
width = img1->width;
step = img1->widthStep;
channels = img1->nChannels;
data = (uchar *)img1->imageData;
printf("Processing a %dx%d image with %d channels - step = %d\n",height,width,channels, step);
// prepare second image object
img2 = cvCreateImage(cvSize(width, height),IPL_DEPTH_8U,1);
img2->imageData = (uchar *) malloc(sizeof(uchar)* height * width * channels);
img2->widthStep = step;
img2->nChannels = channels;
// copy img1 into img2
//for(i=0; i < height * width * channels; i++)
// img2->imageData[i] = img1->imageData[i];
timerOn();
secuencial(wavelet, img1, img2);
//backandforth(img1,img2);
elapsed = timerOff();
printf("Secuencial %e ms\n",elapsed);
// opencl();
timerOn();
elapsed = timerOff();
printf("Paralelo %lf ms\n",elapsed);
}