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filaPro avatar filaPro commented on June 19, 2024 1

Hi @joshiaLee ,

First, if I remember correctly the main problem here is that there are extremely low examples of cup, bottle, bowl, book, ... in the train and validation splits. So, the quality of the detection will not be as good as for example chair category.

The second thing is the voxel_size parameter in configs. With the default value of 0.01 the objects are assigned on 4 feature levels with steps 8cm, 16cm, 32cm and 64cm. For small object you may need smaller voxel size, i.e. 0.005 and less feature levels i.e. 2 like here.

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joshiaLee avatar joshiaLee commented on June 19, 2024

Thank you sooooo much!

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joshiaLee avatar joshiaLee commented on June 19, 2024

bandicam 2022-02-26 00-42-18-603
I'm compused a little
feature levels you meaned is n_scores=2? or n_reg_outs=6?
what both mean?

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filaPro avatar filaPro commented on June 19, 2024

Here we decrease n_outs, in_channels and n_scales.

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joshiaLee avatar joshiaLee commented on June 19, 2024

I got it
Thank you!

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