Pointnet_Pointnet2_pytorch
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How to read SemanticKITTI datasets to train my own pointnet2 semseg network
you can create your own class SemanticKITTIDataset and use it instead of S3DISDataset that provide points and labels, the input of pointnet2 semseg is (batch_size,num_point,9) where default batch_size is 16 and default num_point is 4096 as follow : (x,y,z,r,g,b,normalized_x,normalized_y,normalized_z), you can change normalized coordinates by normals or whatever you see useful for the segmentation.