int hrt_main (int argc, char **argv)
{
int flag;
int i;
// detection parameters
float scaleFactor = 1.2;
int minNeighbours = 3;
int size;
printf("-- entering main function --\r\n");
printf("-- loading image --\r\n");
MyImage imageObj;
MyImage *image = &imageObj;
flag = readPgm((char *)INPUT_FILENAME, image);
if (flag == -1)
{
printf( "Unable to open input image\n");
return 1;
}
printf("-- loading cascade classifier --\r\n");
myCascade cascadeObj;
myCascade *cascade = &cascadeObj;
MySize minSize = {20, 20};
MySize maxSize = {0, 0};
// classifier properties
cascade->n_stages=25;
cascade->total_nodes=2913;
cascade->orig_window_size.height = 24;
cascade->orig_window_size.width = 24;
readTextClassifier(cascade);
struct MyRect *result[NUM] = {};
//Load the program
hrt_cell_load_program_id(CELL, haar);
hrt_scalar_store(CELL, MyImage, myimage, image);
hrt_indexed_store(CELL, MySize, mysize, 0, minSize);
hrt_indexed_store(CELL, MySize, mysize, 1, maxSize);
hrt_scalar_store(CELL, myCascade, mycascade, cascade);
hrt_scalar_store(CELL, float, scalefactor, scaleFactor);
hrt_scalar_store(CELL, int, minneighbours, minNeighbours);
hrt_scalar_store(CELL, MyRect, myrect, result);
printf("-- detecting faces --\r\n");
//size = detectObjects(image, minSize, maxSize, cascade, scaleFactor, minNeighbours, result);
detectObjects();
size = hrt_scalar_load(CELL, int, size);
printf("-- drawing boxes --\r\n");
for(i = 0; i < NUM; i++ )
{
if ( result[i] != NULL) {
struct MyRect *r = result[i];
drawRectangle(image, r);
}
else
break;
}
printf("-- saving output --\r\n");
flag = writePgm((char *)OUTPUT_FILENAME, image);
printf("-- image saved --\r\n");
// delete image and free classifier
releaseTextClassifier(cascade);
freeImage(image);
return 0;
}
int main()
{
readTextClassifier();
return 0;
}
