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Related to #12
Just curious if your team has attempted to use the depth map output by AnyNet to generate Psuedo LiDAR?
PSMNet's performance is great but it's also quite slow on a TX2 module even at 1242x375.
I am going to trying this myself tomorrow but just curious if your team has run any experiments with this?
I was able to get AnyNet trained but without spn. Still need to write up the cpp_extension part just have not gotten to it yet.
cpp_extension
Finally, are there any plans to release the AnyNet pre-trained model? Re: AnyNet #8
Many thanks for the great documentation and excellent work!
The text was updated successfully, but these errors were encountered:
My apologies, I think I may have understood.
I am going to firstly run interference with AVOD model using your pre-trained weights but I am assuming it will still be quite slow on a TX2.
So I will probably have train AVOD using the output from AnyNet and see if that gives me any improvement in inference speed.
I'll update the issue here later...
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Related to #12
Just curious if your team has attempted to use the depth map output by AnyNet to generate Psuedo LiDAR?
PSMNet's performance is great but it's also quite slow on a TX2 module even at 1242x375.
I am going to trying this myself tomorrow but just curious if your team has run any experiments with this?
I was able to get AnyNet trained but without spn. Still need to write up the
cpp_extension
part just have not gotten to it yet.Finally, are there any plans to release the AnyNet pre-trained model? Re: AnyNet #8
Many thanks for the great documentation and excellent work!
The text was updated successfully, but these errors were encountered: