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Hi again,

I am trying to reproduce the paper results using python. Specifically, I am playing with the AIN data.
I am using the following code to compute the features :

data_path = r'D:\DATA\Pointclouds\AIN'
pc1 = os.path.join(data_path, "green_532nm_all.laz")
pc2 = os.path.join(data_path, "NIR ...

Awesome! Thanks!

Hi mletard,

Thank you the updates and considering publishing the notebook allowing the reproduction of the paper's results!
The parameter files will be a very nice xmas present :) I look forward to them!

FG

Hi Paul,

Thanks for allocating the time/resources. Yes, I meant an all-inclusive sript/notebook illustrating the workflow step-by-step. I believe such material would ease the onboarding to 3DMASC and resolve many doubts/questions before hitting the forum.

In the meantime, could you please point me ...

Hi everyone,

Is the python code developed for the 3DMASC paper available? I fail to find it. It would be very useful as a tutorial to getting started with 3DMASC, as well as for reproducibility and benchmarking for potential optimizations. The examples/Clouds_23_3dmasc_hands_on.ipynb in the Github ...