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New feature extraction method
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@ -504,7 +504,7 @@ image features_output_size(network net, IplImage *src, int outh, int outw)
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cvResize(src, sized, CV_INTER_LINEAR);
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image im = ipl_to_image(sized);
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//normalize_array(im.data, im.h*im.w*im.c);
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//translate_image(im, -144);
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translate_image(im, -144);
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resize_network(net, im.h, im.w, im.c);
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forward_network(net, im.data);
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image out = get_network_image(net);
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@ -665,7 +665,7 @@ void features_VOC_image(char *image_file, char *image_dir, char *out_dir, int fl
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{
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int interval = 4;
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int i,j;
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network net = parse_network_cfg("cfg/voc_imagenet_nonorm.cfg");
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network net = parse_network_cfg("cfg/voc_imagenet.cfg");
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char image_path[1024];
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sprintf(image_path, "%s/%s",image_dir, image_file);
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char out_path[1024];
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@ -715,7 +715,7 @@ void features_VOC_image(char *image_file, char *image_dir, char *out_dir, int fl
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for(j = 0; j < out.c*out.h*out.w; ++j){
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if(j != 0)fprintf(fp, ",");
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float o = out.data[j];
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//if(o < 0) o = 0;
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if(o < 0) o = 0;
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fprintf(fp, "%g", o);
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}
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fprintf(fp, "\n");
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