├── KPConv_deform_S3DIS ├── INSTALL.md ├── README.md ├── cpp_wrappers │ ├── compile_wrappers.sh │ ├── cpp_subsampling │ │ ├── grid_subsampling │ │ │ ├── grid_subsampling.cpp │ │ │ └── grid_subsampling.h │ │ ├── setup.py │ │ └── wrapper.cpp │ └── cpp_utils │ │ ├── cloud │ │ ├── cloud.cpp │ │ └── cloud.h │ │ └── nanoflann │ │ └── nanoflann.hpp ├── datasets │ ├── S3DIS.py │ └── common.py ├── kernels │ ├── convolution_ops.py │ ├── dispositions │ │ └── k_015_center.ply │ └── kernel_points.py ├── models │ ├── KPCNN_model.py │ ├── KPFCNN_model.py │ └── network_blocks.py ├── test_any_model.py ├── tf_custom_ops │ ├── compile_op.sh │ ├── cpp_utils │ │ ├── cloud │ │ │ ├── cloud.cpp │ │ │ └── cloud.h │ │ └── nanoflann │ │ │ └── nanoflann.hpp │ ├── tf_neighbors │ │ ├── neighbors │ │ │ ├── neighbors.cpp │ │ │ └── neighbors.h │ │ ├── tf_batch_neighbors.cpp │ │ └── tf_neighbors.cpp │ └── tf_subsampling │ │ ├── grid_subsampling │ │ ├── grid_subsampling.cpp │ │ └── grid_subsampling.h │ │ ├── tf_batch_subsampling.cpp │ │ └── tf_subsampling.cpp ├── training_S3DIS.py ├── utils │ ├── config.py │ ├── mesh.py │ ├── metrics.py │ ├── ply.py │ ├── tester.py │ ├── trainer.py │ └── visualizer.py └── visualize_s3dis.py ├── KPConv_deform_ScanNet ├── INSTALL.md ├── README.md ├── cpp_wrappers │ ├── compile_wrappers.sh │ ├── cpp_subsampling │ │ ├── grid_subsampling │ │ │ ├── grid_subsampling.cpp │ │ │ └── grid_subsampling.h │ │ ├── setup.py │ │ └── wrapper.cpp │ └── cpp_utils │ │ ├── cloud │ │ ├── cloud.cpp │ │ └── cloud.h │ │ └── nanoflann │ │ └── nanoflann.hpp ├── datasets │ ├── Scannet.py │ └── common.py ├── kernels │ ├── convolution_ops.py │ ├── dispositions │ │ └── k_015_center.ply │ └── kernel_points.py ├── models │ ├── KPCNN_model.py │ ├── KPFCNN_model.py │ └── network_blocks.py ├── test_any_model.py ├── tf_custom_ops │ ├── compile_op.sh │ ├── cpp_utils │ │ ├── cloud │ │ │ ├── cloud.cpp │ │ │ └── cloud.h │ │ └── nanoflann │ │ │ └── nanoflann.hpp │ ├── tf_neighbors │ │ ├── neighbors │ │ │ ├── neighbors.cpp │ │ │ └── neighbors.h │ │ ├── tf_batch_neighbors.cpp │ │ └── tf_neighbors.cpp │ └── tf_subsampling │ │ ├── grid_subsampling │ │ ├── grid_subsampling.cpp │ │ └── grid_subsampling.h │ │ ├── tf_batch_subsampling.cpp │ │ └── tf_subsampling.cpp ├── training_Scannet.py ├── utils │ ├── config.py │ ├── mesh.py │ ├── metrics.py │ ├── ply.py │ ├── tester.py │ ├── trainer.py │ └── visualizer.py └── visualize_scannet.py ├── KPConv_deform_Semantic3D ├── INSTALL.md ├── README.md ├── cpp_wrappers │ ├── compile_wrappers.sh │ ├── cpp_subsampling │ │ ├── grid_subsampling │ │ │ ├── grid_subsampling.cpp │ │ │ └── grid_subsampling.h │ │ ├── setup.py │ │ └── wrapper.cpp │ └── cpp_utils │ │ ├── cloud │ │ ├── cloud.cpp │ │ └── cloud.h │ │ └── nanoflann │ │ └── nanoflann.hpp ├── datasets │ ├── Semantic3D.py │ └── common.py ├── kernels │ ├── convolution_ops.py │ ├── dispositions │ │ └── k_015_center.ply │ └── kernel_points.py ├── models │ ├── KPCNN_model.py │ ├── KPFCNN_model.py │ └── network_blocks.py ├── test_any_model.py ├── tf_custom_ops │ ├── compile_op.sh │ ├── cpp_utils │ │ ├── cloud │ │ │ ├── cloud.cpp │ │ │ └── cloud.h │ │ └── nanoflann │ │ │ └── nanoflann.hpp │ ├── tf_neighbors │ │ ├── neighbors │ │ │ ├── neighbors.cpp │ │ │ └── neighbors.h │ │ ├── tf_batch_neighbors.cpp │ │ └── tf_neighbors.cpp │ └── tf_subsampling │ │ ├── grid_subsampling │ │ ├── grid_subsampling.cpp │ │ └── grid_subsampling.h │ │ ├── tf_batch_subsampling.cpp │ │ └── tf_subsampling.cpp ├── training_Semantic3D.py ├── utils │ ├── config.py │ ├── mesh.py │ ├── metrics.py │ ├── ply.py │ ├── tester.py │ ├── trainer.py │ └── visualizer.py └── visualize_semantic3d.py ├── LICENSE ├── README.md ├── RandLA_Net_S3DIS ├── INSTALL.md ├── LICENSE ├── README.md ├── RandLANet.py ├── compile_op.sh ├── helper_ply.py ├── helper_requirements.txt ├── helper_tf_util.py ├── helper_tool.py ├── jobs_6_fold_cv_s3dis.sh ├── jobs_area5_s3dis.sh ├── main_S3DIS.py ├── tester_S3DIS.py └── utils │ ├── 6_fold_cv.py │ ├── cpp_wrappers │ ├── compile_wrappers.sh │ ├── cpp_subsampling │ │ ├── build │ │ │ └── temp.linux-x86_64-3.6 │ │ │ │ ├── cpp_wrappers │ │ │ │ └── cpp_utils │ │ │ │ │ └── cloud │ │ │ │ │ └── cloud.o │ │ │ │ ├── grid_subsampling │ │ │ │ └── grid_subsampling.o │ │ │ │ └── wrapper.o │ │ ├── grid_subsampling.cpython-36m-x86_64-linux-gnu.so │ │ ├── grid_subsampling │ │ │ ├── grid_subsampling.cpp │ │ │ └── grid_subsampling.h │ │ ├── setup.py │ │ └── wrapper.cpp │ └── cpp_utils │ │ ├── cloud │ │ ├── cloud.cpp │ │ └── cloud.h │ │ └── nanoflann │ │ └── nanoflann.hpp │ ├── data_prepare_s3dis.py │ ├── meta │ ├── anno_paths.txt │ └── class_names.txt │ └── nearest_neighbors │ ├── KDTreeTableAdaptor.h │ ├── build │ ├── lib.linux-x86_64-3.6 │ │ └── nearest_neighbors.cpython-36m-x86_64-linux-gnu.so │ └── temp.linux-x86_64-3.6 │ │ ├── knn.o │ │ └── knn_.o │ ├── knn.cpp │ ├── knn.pyx │ ├── knn_.cxx │ ├── knn_.h │ ├── lib │ └── python │ │ ├── KNN_NanoFLANN-0.0.0.egg-info │ │ └── 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