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dpmdetect.c
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#include "ccv.h"
#include <sys/time.h>
#include <ctype.h>
static unsigned int get_current_time(void)
{
struct timeval tv;
gettimeofday(&tv, NULL);
return tv.tv_sec * 1000 + tv.tv_usec / 1000;
}
int main(int argc, char** argv)
{
assert(argc >= 3);
int i, j;
ccv_enable_default_cache();
ccv_dense_matrix_t* image = 0;
ccv_read(argv[1], &image, CCV_IO_ANY_FILE);
ccv_dpm_mixture_model_t* model = ccv_dpm_read_mixture_model(argv[2]);
if (image != 0)
{
unsigned int elapsed_time = get_current_time();
ccv_array_t* seq = ccv_dpm_detect_objects(image, &model, 1, ccv_dpm_default_params);
elapsed_time = get_current_time() - elapsed_time;
if (seq)
{
for (i = 0; i < seq->rnum; i++)
{
ccv_root_comp_t* comp = (ccv_root_comp_t*)ccv_array_get(seq, i);
printf("%d %d %d %d %f %d\n", comp->rect.x, comp->rect.y, comp->rect.width, comp->rect.height, comp->classification.confidence, comp->pnum);
for (j = 0; j < comp->pnum; j++)
printf("| %d %d %d %d %f\n", comp->part[j].rect.x, comp->part[j].rect.y, comp->part[j].rect.width, comp->part[j].rect.height, comp->part[j].classification.confidence);
}
printf("total : %d in time %dms\n", seq->rnum, elapsed_time);
ccv_array_free(seq);
} else {
printf("elapsed time %dms\n", elapsed_time);
}
ccv_matrix_free(image);
} else {
FILE* r = fopen(argv[1], "rt");
if (argc == 4)
chdir(argv[3]);
if(r)
{
size_t len = 1024;
char* file = (char*)malloc(len);
ssize_t read;
while((read = getline(&file, &len, r)) != -1)
{
while(read > 1 && isspace(file[read - 1]))
read--;
file[read] = 0;
image = 0;
ccv_read(file, &image, CCV_IO_GRAY | CCV_IO_ANY_FILE);
assert(image != 0);
ccv_array_t* seq = ccv_dpm_detect_objects(image, &model, 1, ccv_dpm_default_params);
if (seq != 0)
{
for (i = 0; i < seq->rnum; i++)
{
ccv_root_comp_t* comp = (ccv_root_comp_t*)ccv_array_get(seq, i);
printf("%s %d %d %d %d %f %d\n", file, comp->rect.x, comp->rect.y, comp->rect.width, comp->rect.height, comp->classification.confidence, comp->pnum);
for (j = 0; j < comp->pnum; j++)
printf("| %d %d %d %d %f\n", comp->part[j].rect.x, comp->part[j].rect.y, comp->part[j].rect.width, comp->part[j].rect.height, comp->part[j].classification.confidence);
}
ccv_array_free(seq);
}
ccv_matrix_free(image);
}
free(file);
fclose(r);
}
}
ccv_drain_cache();
ccv_dpm_mixture_model_free(model);
return 0;
}