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Tuning about depth_clustering HOT 2 CLOSED

prbonn avatar prbonn commented on May 17, 2024
Tuning

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Comments (2)

niosus avatar niosus commented on May 17, 2024

Hey @didriksg
So there are two things we can talk about. First one is the separation criterium for clustering (angle beta in the paper and code). This decides how likely it is to separate clusters. Now, this should be picked once for your sensor if you care about meaningful clusters.

The other thing is what is considered to be a cluster, as you put it. To visualize the clusters and make it look decent, I decided to not show very small clusters. This was not indended to be passed to any other human and was done purely for visualization, therefore it is a hack.
In the viewer I just don't draw anything that has height of less than 0.3: https://github.com/Photogrammetry-Robotics-Bonn/depth_clustering/blob/2107024458f639af5a33c25d8bb3cc2f7a9d93bc/src/qt/drawables/drawable_cube.cpp#L9

I also draw big objects with different color for the same reason:
https://github.com/Photogrammetry-Robotics-Bonn/depth_clustering/blob/2107024458f639af5a33c25d8bb3cc2f7a9d93bc/src/qt/drawables/drawable_cube.cpp#L13-L18

So to adjust that you will have to modify the code as there is no easy way for that. I expected the users to receive the clusters and then post-process them to their needs.

from depth_clustering.

didriksg avatar didriksg commented on May 17, 2024

Ah, I see! Thank you for your quick answer and good explenation. I will try it out later this week.

from depth_clustering.

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