Comments (5)
Sure, here you go: https://www.dropbox.com/scl/fi/x80gaacczqmfyhlj8574j/21A027_628_58_0000.zip?rlkey=kxi6noiaybo7hyd5h4qik1xri&dl=0
If you prefer another delivery method just let me know, I can't upload it as an attachment since the file limit is 25MB. I got the data from the Swedish government, as it is publicly available. The files they are serving are about 50MBs and I suppose it is the unmodified (no lastools etc) version that you want.
Thanks in advance.
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Seems to be a crash due to the lack of colors in the input.
I've just added 0f23e58 which sets a default color if there are no colors in the input point set. Note that you will likely need to train a new model on non-colored data for it to work.
Try to rebuild/retry? 🙏
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Can you share the .laz file? I could try to take a look.
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Works like a charm! Thank you very, very much.
A final note on my end is if you have any recommendation with regards to "training a new model on non-colored data"?
What I have found so-far are the examples provided in this repository: https://github.com/OpenDroneMap/ODMSemantic3D
If the approach in the ODMSemantic3D is the recommended approach, then, how much data would be sufficient and how accurate would I need to be.
Again, thanks a bunch!
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The consensus with these classifiers is that the more data, the better, although at some point you'll have diminishing returns. Glad it worked!
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Related Issues (12)
- Support for point clouds with no colors HOT 1
- Support for distributed feature extraction / training HOT 2
- Segmentation fault HOT 2
- Failed to setup (Access is denied. ) HOT 1
- Why result is so strange ?
- Point Cloud Train with non fully ASPRS 1.4 Classification HOT 1
- Pctrain problems with large input .LAS files HOT 1
- Implement graph cut regularization HOT 1
- Publication of classification model ? HOT 1
- Segment fault HOT 1
- -DWITH_GBT=ON fails HOT 2
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