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Running Cube-RCNN on a different dataset #49

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johannes-tum opened this issue Jan 17, 2024 · 2 comments
Open

Running Cube-RCNN on a different dataset #49

johannes-tum opened this issue Jan 17, 2024 · 2 comments

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@johannes-tum
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Dear Authors,

I like your approach a lot. Thanks a lot also that you provide such an extensive documentation.
Especially that you define how to define the learning parameters in case of a different batch size.

Let's assume you have a different joint training dataset with about half the size. What would you change?
I would assume that you also linearly scale:

  • SOLVER.STEPS
  • SOLVER.WARMUP_ITERS
  • SOLVER.MAX_ITER
  • TEST.EVAL_PERIOD
  • VIS_PERIOD
    Anything else?

Best wishes

Johannes

@mason1008
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Dear Johannes,

I have the same question as you. May I ask how you are currently approaching it?

Best wishes

Mason

@johannes-tum
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Hi Mason,
yes, I linearly scaled everything. However, In general, I find it quite challenging to get the OMNI3D code to run in stable way. That's the main challenge I encountered.
Best wishes
Johannes

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