Comments (5)
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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Thank you sooooo much!
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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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Here we decrease n_outs
, in_channels
and n_scales
.
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I got it
Thank you!
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