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kujason avatar kujason commented on August 16, 2024

The total time shown during evaluation includes several additional operations that are not relevant to the network inference timing. Some of these include:

  • data reading (images/velodyne) from disk, which will vary based on your computer setup (CPU, with HDD/SDD), and the data is normally provided directly from a ROS node during deployment
  • additional mini batching procedure for evaluating losses
  • saving proposals and predictions to disk
    We can add a timing chart to the wiki to make things clearer (#16).

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yzhou-saic avatar yzhou-saic commented on August 16, 2024

Yes, Jason, a timing chart could be very helpful if it includes both preprocessing time && inference time.

  1. I personally profile the preprocessing time which is almost 0.1s, much larger than the time 0.02s in the paper
  2. In another opened issue, it seems you personally verified the "create bev map" time is already 0.02s, how could the preprocessing time being 0.02s ?

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memoiry avatar memoiry commented on August 16, 2024

Thanks for your response!

Yes, that's true, I recount the inference time, which is around 0.12s and quite impressive.

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sainisanjay avatar sainisanjay commented on August 16, 2024

@kujason @memoiry @yzhou-saic , Can i run this model with CPU machine which has 16GB RAM??? Only testing on pre-trained model??

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kujason avatar kujason commented on August 16, 2024

You will need a computer with a GPU, I would not recommend trying to run this on a CPU only.

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