Strange result if boxes are intersected inside one model

[Sergey-Zlobin]

Example:

from ensemble_boxes import *

boxes_list = [[
    [0.1, 0.1, 0.2, 0.2],
    [0.1, 0.1, 0.2, 0.2],
], [
    [0.3, 0.3, 0.4, 0.4],
]]
scores_list = [[1.0, 1.0], [0.5]]
labels_list = [[0, 0], [0]]
weights = [2, 1]

iou_thr = 0.5
skip_box_thr = 0.0001

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

Actual result: [1.33333337 0.16666667] Expected result: scores are <= 1.

[Sergey-Zlobin]

Workaround: use conf_type='box_and_model_avg' instead of default conf_type='avg'

[ZFTurbo]

This was fixed in pull request: https://github.com/ZFTurbo/Weighted-Boxes-Fusion/pull/25

But you need to change from 'avg' to '_box_and_modelavg'