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I am curious to hear about the runtime and hardware that you used. You have stated in the paper that for a point cloud with 8192 points, one forward pass took 80ms but I did not see any hardware specifications, or information about the training time, hardware and parameters.
Another question concerns the point-cloud-based relocalization process itself. I know about implementing image-based relocalization, and will be very glad to hear how you are implementing the point-cloud-based relocalization.
Much appreciated! Thanks!
The text was updated successfully, but these errors were encountered:
the network was trained and tested on a Nvidia Titan X. The training took around 3 days in total. All the parameters are listed in Sec 4 of the main paper and Sec 4.3 of the supplementary material.
Regarding the second part of your comment, could you be more specific? I believe most of the details of our pipeline are provided in the paper, but would like to add here if something useful is missing.
I am curious to hear about the runtime and hardware that you used. You have stated in the paper that for a point cloud with 8192 points, one forward pass took 80ms but I did not see any hardware specifications, or information about the training time, hardware and parameters.
Another question concerns the point-cloud-based relocalization process itself. I know about implementing image-based relocalization, and will be very glad to hear how you are implementing the point-cloud-based relocalization.
Much appreciated! Thanks!
The text was updated successfully, but these errors were encountered: