train my datasets

[lrnb12345]

Hello, thank you for your work. I would like to ask why there are large black areas in the visualization results when I use my own dataset (ancient building data) to construct initial superpoints. I think it may be unrecognized areas. So, for the hyperparameters in VCCS and region growing algorithms, how should I adjust them to achieve the expected results? Looking forward to your prompt reply!

[zhang-zihui]

hi @lrnb12345 ,

Could you provide some visualization examples for your personal data?
For the region growing+vccs, you may try to set a larger threshold for normal distance on region growing if there are too many invalid areas. The smooth and curvature threshold in

GrowSP/data_prepare/initialSP_prepare_S3DIS.py

Line 58 in b7eaece

clusters = pclpy.region_growing(pc, normals=normals, min_size=1, max_size=100000, n_neighbours=15,

[lrnb12345]

Thank you for your reply. After debugging and modifying the parameters overnight before your reply, I did solve the problem and displayed the appropriate superpoint area on my dataset. However, I found that you did not provide the visualization code for the results.  Could you please analyze the visualization code for me? I would greatly appreciate it！

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