Single image feature extraction for VOC

This commit is contained in:
Joseph Redmon 2014-02-19 13:41:44 -08:00
parent 43424a343a
commit 2c6d4ba1d5

View File

@ -497,10 +497,68 @@ void features_VOC(int part, int total)
}
}
void features_VOC_image(char *image_file, char *image_dir, char *out_dir)
{
int i,j;
network net = parse_network_cfg("cfg/voc_features.cfg");
char image_path[1024];
sprintf(image_path, "%s%s",image_dir, image_file);
char out_path[1024];
sprintf(out_path, "%s%s.txt",out_dir, image_file);
printf("%s\n", image_file);
FILE *fp = fopen(out_path, "w");
if(fp == 0) file_error(out_path);
IplImage* src = 0;
if( (src = cvLoadImage(image_path,-1)) == 0 ) file_error(image_path);
int w = src->width;
int h = src->height;
int sbin = 8;
int interval = 10;
double scale = pow(2., 1./interval);
int m = (w<h)?w:h;
int max_scale = 1+floor((double)log((double)m/(5.*sbin))/log(scale));
image *ims = calloc(max_scale+interval, sizeof(image));
for(i = 0; i < interval; ++i){
double factor = 1./pow(scale, i);
double ih = round(h*factor);
double iw = round(w*factor);
int ex_h = round(ih/4.) - 2;
int ex_w = round(iw/4.) - 2;
ims[i] = features_output_size(net, src, ex_h, ex_w);
ih = round(h*factor);
iw = round(w*factor);
ex_h = round(ih/8.) - 2;
ex_w = round(iw/8.) - 2;
ims[i+interval] = features_output_size(net, src, ex_h, ex_w);
for(j = i+interval; j < max_scale; j += interval){
factor /= 2.;
ih = round(h*factor);
iw = round(w*factor);
ex_h = round(ih/8.) - 2;
ex_w = round(iw/8.) - 2;
ims[j+interval] = features_output_size(net, src, ex_h, ex_w);
}
}
for(i = 0; i < max_scale+interval; ++i){
image out = ims[i];
fprintf(fp, "%d, %d, %d\n",out.c, out.h, out.w);
for(j = 0; j < out.c*out.h*out.w; ++j){
if(j != 0)fprintf(fp, ",");
fprintf(fp, "%g", out.data[j]);
}
fprintf(fp, "\n");
free_image(out);
}
free(ims);
fclose(fp);
cvReleaseImage(&src);
}
int main(int argc, char *argv[])
{
int part = atoi(argv[1]);
int total = atoi(argv[2]);
//feenableexcept(FE_DIVBYZERO | FE_INVALID | FE_OVERFLOW);
//test_blas();
@ -511,7 +569,8 @@ int main(int argc, char *argv[])
//test_nist();
//test_full();
//train_VOC();
features_VOC(part, total);
features_VOC_image(argv[1], argv[2], argv[3]);
printf("Success!\n");
//test_random_preprocess();
//test_random_classify();
//test_parser();