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Choosing a neural network for semantic segmentation

Open amburkoff opened this issue 4 years ago • 2 comments

Can you please tell me which neural networks of segmentation do you recommend for use with kimera? What are the requirements for it? How to choose the right one? I collected a real dataset from my robot and launched it on kimera, now I need to select a neural network for semantic segmentation and run semantics together with kimera.

amburkoff avatar Jan 19 '21 07:01 amburkoff

Hi @amburkoff , Mask-RCNN is the easiest/fastest to use, but any that outputs semantic labels on a per-pixel basis will do. We are planning to release a how-to wiki page to make this process easier.

ToniRV avatar Feb 09 '21 13:02 ToniRV

Hi @amburkoff , Mask-RCNN is the easiest/fastest to use, but any that outputs semantic labels on a per-pixel basis will do. We are planning to release a how-to wiki page to make this process easier.

Hey @ToniRV , Do we have the wiki ready for integrating off the shelf segmentation model (Example Mask-RCNN) with the Kimera . Please share if Yes; Otherwise a small and approx (step wise) write-up about the required set up would be much appreciated. Thank you

nbansal90 avatar Jul 20 '21 22:07 nbansal90