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Issue with Large Point Cloud (40GB+) Conversion Using PotreeConverter #672

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sau0409 opened this issue Jan 6, 2025 · 4 comments
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@sau0409
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sau0409 commented Jan 6, 2025

We are experiencing an issue when converting large point clouds (PCL) generated by Metashape to Potree format using PotreeConverter. Specifically, point clouds with sizes exceeding 40GB are not being fully generated, whereas smaller classified point clouds (e.g., 19GB) convert successfully.

Details:
Input 1: Point Cloud (60GB) - Conversion incomplete.
Input 2: Classified Point Cloud (19GB) - Conversion complete.
Logs: No errors are logged during the conversion process.
The problem seems to occur only with larger point clouds. We are looking for guidance on potential causes and solutions to ensure successful conversion of large point clouds.

Screenshot from 2025-01-06 12-20-49
Screenshot from 2025-01-06 12-21-22

@sau0409 sau0409 changed the title PotreeConverter not working for PCL size 40GB+ Issue with Large Point Cloud (40GB+) Conversion Using PotreeConverter Jan 6, 2025
@rboeters
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rboeters commented Jan 6, 2025

The underlying LasZip library does not support more points than uint32. See #615.

@sau0409
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sau0409 commented Jan 8, 2025

Hi, thanks for replying.

Yes, PCL has 6.2 billion points. How can we solve this problem ? Can you share some approaches ?

@rboeters
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rboeters commented Jan 8, 2025

Easiest would probably be to first split it into smaller parts using PDAL for example.

@sau0409
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sau0409 commented Jan 9, 2025

Can you give detailed steps ?
Once we split, does Portree-conveter takes 2 PCL as input arg and output 1 single metadata.json from that ?
How we will merge the outputs from 2 PCLs ?

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