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I've pulled the latest Docker image from nlesc/massive-potreeconverter, and I'm getting the following error running mpc-info when I supply a directory path, such as:
('Input folder: ', '/data1/mymodel/apointcloud.las')
('Number of processes: ', 4)
('Target tile number of points: ', 5000000000)
('Target OctTree node number of points: ', 60000)
Starting get_info.pyc...
Completed 0.00%lasinfo /data1/mymodel/apointcloud.las -nc -nv -nco
Completed 100.00%!()
('AABB: ', 327699, 3640884, 32, 329172, 3641628, 140)
('#Points:', 3939233)
('Average density [pts / m2]:', 3.594479301257765)
Suggested number of tiles: 1. For this number of points Massive-PotreeConverter is not really required!
('Suggested Potree-OctTree CAABB: ', 327699, 3640884, 32, 329172, 3642357, 1505)
('Suggested Potree-OctTree spacing: ', 7.0)
('Suggested Potree-OctTree number of levels: ', 5)
Suggested potreeconverter command:
$(which PotreeConverter) -o <potree output directory> -l 5 -s 7 --CAABB "327699 3640884 32 329172 3642357 1505" --output-format LAZ -i <laz input directory>
Finished in 0.02 seconds
I saw that there was a recent commit to update the file search code, which makes use of glob. But I don't have much python experience to quickly troubleshoot. Anyone else experiencing this issue?
Cheers,
Daniel
The text was updated successfully, but these errors were encountered:
Hi,
I've pulled the latest Docker image from nlesc/massive-potreeconverter, and I'm getting the following error running mpc-info when I supply a directory path, such as:
If I specify a las file directly, it works:
I saw that there was a recent commit to update the file search code, which makes use of glob. But I don't have much python experience to quickly troubleshoot. Anyone else experiencing this issue?
Cheers,
Daniel
The text was updated successfully, but these errors were encountered: