Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"
MIT License
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How to apply a trained model on an unlabeled point cloud file (.ply)? #138
I tried to complete the training on the DALES dataset, and now I want to use the weights obtained from the training for semantic segmentation of an unfamiliar, unlabeled pointcloud(.ply). Is there any way to do this? Thanks a lot!
I tried to complete the training on the DALES dataset, and now I want to use the weights obtained from the training for semantic segmentation of an unfamiliar, unlabeled pointcloud(.ply). Is there any way to do this? Thanks a lot!