Issue with Input Feature Points Data Dimensionality in PointLLM Code

[henryzhao0615]

Hello team, Firstly, it is really a amazing work and I appreciate your work on the PointLLM project and the online demo can work well. However, I've encountered an issue while implementing the code with my personal feature points data. when I running the code, I noticed that when I input my personal feature points data to into the code as id, which the size (478, 3), it showed the error like this, which means it expected to to have 6 channels, but got 3 channels instead.

To solve this, I duplicated the 3 dimensions of my data, changing its size from (478, 3) to (478,6) , which resolved the error. But this is not a good solution, for point cloud, we need to have only 3 dimensions. I think this issue is caused by the conv size. Could you please investigate this issue? A solution or guidance on how to handle 3-dimensional data without having to artificially adjust its size would be highly beneficial.

Thanks for your attention to this matter. Looking forward to your response.

[RunsenXu]

Hi, the last three channels are color, so you cannot simply duplicate the first dimensions. I recommend appending [0, 0, 0] or [1, 1, 1] to your point cloud, which means your point clouds are all with black color or white color.

[henryzhao0615]

thanks, I understand, my data is the non-color feature and will suppose to add [0,0,0].