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shinexunju avatar shinexunju commented on June 3, 2024

Hi, I got the same error.
Could you share your solutions? Thanks.

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sxjzwq avatar sxjzwq commented on June 3, 2024

It is the problem of proposal bounding box.
You should check whether your proposal bounding box's width and height bigger than 0. MCG sometimes return a non-valued bounding box. Selective search has no such problem.

Anyway, check your bounding box at first.

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shinexunju avatar shinexunju commented on June 3, 2024

Thanks for your quick reply and good suggestion.

It is weird because the bounding box is generated by selective search in my experiments.

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shinexunju avatar shinexunju commented on June 3, 2024

Thank for your hints @sxjzwq .

I think the bounding-boxes returned from the bounding-box regresser may not follow the "well-known" convention. In other words, the area of returned bounding-box may be 0 or negative. @rbgirshick

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sxjzwq avatar sxjzwq commented on June 3, 2024

Yes. And if the area of the bounding-box is zero, there will be more problems in the training.

In fast-rcnn/lib/roi_data_layer/roidb.py, line114-line115,
targets_dx = (gt_ctr_x - ex_ctr_x) / ex_widths
targets_dy = (gt_ctr_y - ex_ctr_y) / ex_heights
if the ex_weight == 0, the bounding-box regression targets will be a extremely large number.
I simply remove those zero area bounding boxes before this step,

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