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1from anima_ran.inference.zero_shot import ZeroShotSegmenter
2
3segmenter = ZeroShotSegmenter(backbone_checkpoint="pytorch/ran_v1.pth")
4segmenter.load()
5
6result = segmenter.segment(points, ["building", "vegetation", "road"])1@article{wang2025openurban3d,
2 title={OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds},
3 author={Wang, Chongyu and Jing, Kunlei and Zhu, Jihua and Wang, Di},
4 journal={arXiv preprint arXiv:2509.10842},
5 year={2025}
6}