int balancer_display(FILE *stream)
{
int i, ret = 0;
for (i = 0; i < n_locations; i++)
(void)stop_accumulator(&locations[i].accumulator);
for (i = 0; i < n_locations; i++) {
ret += fprintf(stream, "Statistics for URL %d: %s\n", i + 1, locations[i].uristr);
if (n_locations == 1)
return ret;
ret += print_accumulator(stream, &locations[i].accumulator);
ret += fprintf(stream, "\n");
}
return ret;
}
/**
* USE: Provide sample points and how many to setup_hough() transformation and plot those points
* using plot_point() with each index of points you want to convert. The use print_classifier()
* or get_lines() to see the lines extracted.
*/
int main(int argc, char **argv) {
// Get points from image
SIZE_TYPE size;
POINT_TYPE *points = NULL;
sizep_t count = get_points("sample_small.bmp", &points, &size);
/*
* points : Array of points
* num_points : Number of points in the array
* threshold : Threshold to consider line intersection
* tolerance_t : Tolerance (in grades) to consider two lines are the same
* tolerance_r : Distance (in pixels) to consider two lines are the same
* precision : Precision for degrees (10 = decimals, 100 = cents...)
* size : Size of the image
* max_lines : Lines to look for (value -1 falls back to 500)
*/
clock_t cp = clock();
setup_hough(points, count, 12, 15.0, 5.0, 1, size, 10000);
// Plot every point and measure clock ticks
int n;
for (n=0; n<_num_points; n++) {
plot_point(n);
}
printf("_plot_point() ticks: %.4f\n", ((double)(clock()-cp))/1000000l);
print_accumulator("accumulator.bmp");
print_classifier();//*/
// Get lines from classifier
LINE_TYPE *lines;
sizep_t clines = get_lines(&lines);
// Print lines
print_lines("output.bmp", "sample.bmp", lines, clines, 10);
print_lines("output_small.bmp", "sample_small.bmp", lines, clines, 1);
// Free memory
finish_hough();
free(lines);
free(points);
printf("All clear!");
return EXIT_SUCCESS;
}
