train my datasets about growsp

[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！

…

------------------ 原始邮件 ------------------ 发件人: "vLAR-group/GrowSP" ***@***.***>; 发送时间: 2024年3月27日(星期三) 晚上9:57 ***@***.***>; ***@***.******@***.***>; 主题: Re: [vLAR-group/GrowSP] train my datasets (Issue #17) 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 https://github.com/vLAR-group/GrowSP/blob/b7eaece0847189c7b94854a03d7a3816bf478236/data_prepare/initialSP_prepare_S3DIS.py#L58 — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: ***@***.***>