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When you mention threading, do you mean taking advantage of multiple processor cores to speed up point cloud processing, please? If so, there is nothing to prevent you from doing processing on a large point cloud model with that technique if you wish, but I have not heard of any RealSense users who have done so with their point clouds. I would say that it depends on the size of your point cloud data. If the file is very large and runs slow on a computer because of this then a point cloud processing program that can use multi-threading is certainly an option that you could explore.
The link below is an interesting read about the subject.
https://info.vercator.com/blog/how-to-overcome-large-datasets-in-point-cloud-processing
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I have the transformations and concatenation done.
What I wanted to know is that is threading necessary?
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When you mention threading, do you mean taking advantage of multiple processor cores to speed up point cloud processing, please? If so, there is nothing to prevent you from doing processing on a large point cloud model with that technique if you wish, but I have not heard of any RealSense users who have done so with their point clouds. I would say that it depends on the size of your point cloud data. If the file is very large and runs slow on a computer because of this then a point cloud processing program that can use multi-threading is certainly an option that you could explore.
The link below is an interesting read about the subject.
https://info.vercator.com/blog/how-to-overcome-large-datasets-in-point-cloud-processing
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