Why is coordinates for boxes expected to be normalized e.g in range [0; 1]? about weighted-boxes-fusion HOT 5 OPEN

I also have this question, do you find the problem?

from weighted-boxes-fusion.

If any coordinate goes below 0 or higher than 1 it will be trimmed to 0 or 1 respectively.
It's in the code here:
https://github.com/ZFTurbo/Weighted-Boxes-Fusion/blob/master/ensemble_boxes/ensemble_boxes_wbf.py#L56

from weighted-boxes-fusion.

how to normalize? the box coordinate is (x1, y1, x2, y2) which represents the left-top and right-bottom corner, and the image's height is h, image's width is w. the normalized coordinates is (x1/w, y1/h, x2/w, y2/h)?

from weighted-boxes-fusion.

how to normalize? the box coordinate is (x1, y1, x2, y2) which represents the left-top and right-bottom corner, and the image's height is h, image's width is w. the normalized coordinates is (x1/w, y1/h, x2/w, y2/h)?

Yes, that's right.

from weighted-boxes-fusion.

how to normalize? the box coordinate is (x1, y1, x2, y2) which represents the left-top and right-bottom corner, and the image's height is h, image's width is w. the normalized coordinates is (x1/w, y1/h, x2/w, y2/h)?

Yes, that's right.

Hi, I also have the same problem, I understand how to normalize the box coordinates. However, Weighted-Boxes fusion need to calculate the IoU for each pair of bounding boxes. It means we need image height and width to convert them to box coordinates with Pascal Voc (without normalized). In function below, it does not require image height and width.

boxes, scores, labels = weighted_boxes_fusion(boxes_list, scores_list, labels_list, weights=weights, iou_thr=iou_thr, skip_box_thr=skip_box_thr)

Please help me explain it. Thank you.

from weighted-boxes-fusion.