Hi,
Thank you for releasing FoundPose and the accompanying code. I have been
able to successfully reproduce the reported LMO results using the provided
object_repre.zip.
I am currently extending FoundPose as part of a research project and would
like to evaluate on additional BOP datasets (e.g., YCBV, TLESS, HB).
However, since K-means clustering and PCA involve random initialization,
re-running gen_repre.py from scratch produces different visual word
vocabularies each time, making it difficult to fairly reproduce your
baseline numbers on those datasets.
Would it be possible to share the pre-computed object representations
(repre.pth files) for other BOP datasets, similar to the LMO release?
If sharing via GitHub is not feasible, feel free to send the files to:
mooread3031@gmail.com
Thank you for your time and for the great work!
Hi,
Thank you for releasing FoundPose and the accompanying code. I have been
able to successfully reproduce the reported LMO results using the provided
object_repre.zip.I am currently extending FoundPose as part of a research project and would
like to evaluate on additional BOP datasets (e.g., YCBV, TLESS, HB).
However, since K-means clustering and PCA involve random initialization,
re-running
gen_repre.pyfrom scratch produces different visual wordvocabularies each time, making it difficult to fairly reproduce your
baseline numbers on those datasets.
Would it be possible to share the pre-computed object representations
(
repre.pthfiles) for other BOP datasets, similar to the LMO release?If sharing via GitHub is not feasible, feel free to send the files to:
mooread3031@gmail.com
Thank you for your time and for the great work!