RandLA-Net - 大规模点云的高效语义分割的Tensorflow实现（CVPR 2020）-python
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2021-06-18
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QingyongHu-RandLA-Net.zip （47个子文件） 
RandLA-Net-master 
compile_op.sh 130B jobs_test_semantickitti.sh 738B tester_Semantic3D.py 6KB .gitattributes 91B utils semantic-kitti.yaml 5KB nearest_neighbors test.py 329B KDTreeTableAdaptor.h 8KB knn_.cxx 7KB setup.py 551B nanoflann.hpp 71KB knn_.h 1KB knn.pyx 5KB cpp_wrappers cpp_subsampling wrapper.cpp 8KB grid_subsampling grid_subsampling.cpp 3KB grid_subsampling.h 2KB setup.py 637B cpp_utils nanoflann nanoflann.hpp 71KB cloud cloud.cpp 958B cloud.h 2KB compile_wrappers.sh 102B 6_fold_cv.py 2KB download_semantic3d.sh 4KB meta 
class_names.txt 83B anno_paths.txt 8KB data_prepare_semantic3d.py 4KB data_prepare_s3dis.py 3KB data_prepare_semantickitti.py 4KB jobs_6_fold_cv_s3dis.sh 704B imgs 
S3DIS_area3.gif 16.88MB Semantic3D-1.gif 7.87MB Semantic3D-4.gif 5.68MB SemanticKITTI-2.gif 20.54MB Semantic3D-3.gif 13.82MB S3DIS_area2.gif 8.99MB main_S3DIS.py 12KB helper_ply.py 10KB helper_tool.py 13KB main_SemanticKITTI.py 11KB RandLANet.py 18KB LICENSE 19KB helper_requirements.txt 127B README.md 8KB helper_tf_util.py 20KB tester_SemanticKITTI.py 8KB main_Semantic3D.py 17KB .gitignore 6B tester_S3DIS.py 7KB资源评论
