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problem about odious.py #36

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WangZZJJ opened this issue Aug 18, 2021 · 3 comments
Closed

problem about odious.py #36

WangZZJJ opened this issue Aug 18, 2021 · 3 comments

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@WangZZJJ
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I want use odiou_3D loss to my own network, but why the loss computed by odious.py can be -inf? Besides, the prediction will be NaN after training very little time?

@Vegeta2020
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It may be caused the unexpected values produced by the model without pre-training, if you used the pre-trained model, it would be avoided.

@Eaphan
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Eaphan commented Nov 11, 2021

It may be caused the unexpected values produced by the model without pre-training, if you used the pre-trained model, it would be avoided.

Have you thought about the reason why the loss can be -inf? @Vegeta2020 @WangZZJJ

@Vegeta2020
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As the non-pre-trained model may produce unexpected values like negative ones, they cannot generate normal boxs for IoU calculation.

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