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Functions766 in github.com/WHU-USI3DV/WHU-Railway3D

⨍ Functions 766◇ Types & classes 169
↓ 1 callersMethodrelative_pos_encoding
(self, xyz, neigh_idx)
repos/RandLA-Net-PyTorch/RandLANet.py:253
↓ 1 callersMethodreset_parameters
(self)
repos/KPConv-PyTorch/models/blocks.py:216
↓ 1 callersFunctionrunning_mean
(signal, n, axis=0, stride=1)
repos/KPConv-PyTorch/plot_convergence.py:67
↓ 1 callersFunctionshow_ModelNet_examples
(clouds, cloud_normals=None, cloud_labels=None)
repos/KPConv-PyTorch/utils/mayavi_visu.py:106
↓ 1 callersMethodshow_deformable_kernels
Show some inference with deformable kernels
repos/KPConv-PyTorch/utils/visualizer.py:99
↓ 1 callersMethodslam_segmentation_test
Test method for slam segmentation models
repos/KPConv-PyTorch/utils/tester.py:465
↓ 1 callersMethodslam_segmentation_validation
Validation method for slam segmentation models
repos/KPConv-PyTorch/utils/trainer.py:656
↓ 1 callersMethodspatially_regular_gen
(self, item, split)
repos/RandLA-Net-PyTorch/Railway3D_dataset.py:216
↓ 1 callersMethodspatially_regular_gen
(self, item, split)
repos/RandLA-Net-PyTorch/Railway3D_dataset_xyz.py:230
↓ 1 callersFunctionspherical_Lloyd
Creation of kernel point via Lloyd algorithm. We use an approximation of the algorithm, and compute the Voronoi cell centers with discretiz
repos/KPConv-PyTorch/kernels/kernel_points.py:78
↓ 1 callersMethodtest
(self, dataset, num_vote=10)
repos/RandLA-Net-PyTorch/test_Railway3D.py:99
↓ 1 callersMethodtf_map
(self, batch_xyz, batch_features, batch_label, batch_pc_idx, batch_cloud_idx)
repos/RandLA-Net-PyTorch/Railway3D_dataset.py:272
↓ 1 callersMethodtf_map
(self, batch_xyz, batch_features, batch_label, batch_pc_idx, batch_cloud_idx)
repos/RandLA-Net-PyTorch/Railway3D_dataset_xyz.py:286
↓ 1 callersFunctiontrain
(start_epoch)
repos/RandLA-Net-PyTorch/main_Railway3D.py:182
↓ 1 callersFunctiontrain_one_epoch
()
repos/RandLA-Net-PyTorch/main_Railway3D.py:96
↓ 1 callersMethodunstack_neighbors
Unstack the neighbors indices
repos/KPConv-PyTorch/datasets/Railway3D.py:1537
↓ 1 callersMethodunstack_points
Unstack the points
repos/KPConv-PyTorch/datasets/Railway3D.py:1533
↓ 1 callersMethodunstack_pools
Unstack the pooling indices
repos/KPConv-PyTorch/datasets/Railway3D.py:1541
↓ 1 callersMethodupdate_all
Method Update
repos/KPConv-PyTorch/cpp_wrappers/cpp_subsampling/grid_subsampling/grid_subsampling.h:42
↓ 1 callersMethodupdate_all
Method Update
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_subsampling/grid_subsampling/grid_subsampling.h:42
↓ 1 callersMethodupdate_classes
repos/KPConv-PyTorch/cpp_wrappers/cpp_subsampling/grid_subsampling/grid_subsampling.h:62
↓ 1 callersMethodupdate_classes
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_subsampling/grid_subsampling/grid_subsampling.h:62
↓ 1 callersMethodupdate_features
repos/KPConv-PyTorch/cpp_wrappers/cpp_subsampling/grid_subsampling/grid_subsampling.h:55
↓ 1 callersMethodupdate_features
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_subsampling/grid_subsampling/grid_subsampling.h:55
↓ 1 callersMethodupdate_points
repos/KPConv-PyTorch/cpp_wrappers/cpp_subsampling/grid_subsampling/grid_subsampling.h:74
↓ 1 callersMethodupdate_points
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_subsampling/grid_subsampling/grid_subsampling.h:74
↓ 1 callersMethodvalidation
(self, net, val_loader, config: Config)
repos/KPConv-PyTorch/utils/trainer.py:283
FunctionCYTHON_MAYBE_UNUSED_VAR
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/knn.cpp:236
MethodFirst0Bit
finds position of least significant unset bit */
repos/KPConv-PyTorch/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:1825
MethodFirst0Bit
finds position of least significant unset bit */
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/nanoflann.hpp:1784
MethodFirst0Bit
finds position of least significant unset bit */
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:1825
MethodKDTreeEigenMatrixAdaptor
Constructor: takes a const ref to the matrix object with the data points
repos/KPConv-PyTorch/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:1971
MethodKDTreeEigenMatrixAdaptor
Constructor: takes a const ref to the matrix object with the data points
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/nanoflann.hpp:1925
MethodKDTreeEigenMatrixAdaptor
Constructor: takes a const ref to the matrix object with the data points
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:1971
MethodKDTreeSingleIndexAdaptor
Deleted copy constructor*/
repos/KPConv-PyTorch/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:1122
MethodKDTreeSingleIndexAdaptor
Deleted copy constructor*/
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/nanoflann.hpp:1160
MethodKDTreeSingleIndexAdaptor
Deleted copy constructor*/
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:1122
MethodKDTreeSingleIndexAdaptorParams
repos/KPConv-PyTorch/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:547
MethodKDTreeSingleIndexAdaptorParams
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/nanoflann.hpp:496
MethodKDTreeSingleIndexAdaptorParams
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:547
MethodKDTreeSingleIndexDynamicAdaptor
* KDTree constructor * * Refer to docs in README.md or online in * https://github.com/jlblancoc/nanoflann * * The KD-Tree point di
repos/KPConv-PyTorch/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:1860
MethodKDTreeSingleIndexDynamicAdaptor
* KDTree constructor * * Refer to docs in README.md or online in https://github.com/jlblancoc/nanoflann * * The KD-Tree point dimension (t
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/nanoflann.hpp:1820
MethodKDTreeSingleIndexDynamicAdaptor
* KDTree constructor * * Refer to docs in README.md or online in * https://github.com/jlblancoc/nanoflann * * The KD-Tree point dimensi
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:1860
MethodKDTreeSingleIndexDynamicAdaptor_
* KDTree constructor * * Refer to docs in README.md or online in * https://github.com/jlblancoc/nanoflann * * The KD-Tree point di
repos/KPConv-PyTorch/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:1519
MethodKDTreeSingleIndexDynamicAdaptor_
* KDTree constructor * * Refer to docs in README.md or online in https://github.com/jlblancoc/nanoflann * * The KD-Tree point dimension (t
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/nanoflann.hpp:1509
MethodKDTreeSingleIndexDynamicAdaptor_
* KDTree constructor * * Refer to docs in README.md or online in * https://github.com/jlblancoc/nanoflann * * The KD-Tree point dimensi
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:1519
MethodKDTreeTableAdaptor
Constructor: takes a const ref to the vector of vectors object with the data points
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/KDTreeTableAdaptor.h:134
MethodKNNResultSet
repos/KPConv-PyTorch/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:155
MethodKNNResultSet
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/nanoflann.hpp:87
MethodKNNResultSet
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:155
MethodL1_Adaptor
repos/KPConv-PyTorch/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:330
MethodL1_Adaptor
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/nanoflann.hpp:273
MethodL1_Adaptor
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:330
MethodL2_Adaptor
repos/KPConv-PyTorch/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:381
MethodL2_Adaptor
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/nanoflann.hpp:321
MethodL2_Adaptor
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:381
MethodL2_Simple_Adaptor
repos/KPConv-PyTorch/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:429
MethodL2_Simple_Adaptor
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/nanoflann.hpp:370
MethodL2_Simple_Adaptor
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:429
FunctionPY_UINT64_T __Pyx_get_object_dict_version
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/knn.cpp:6686
FunctionPY_UINT64_T __Pyx_get_tp_dict_version
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/knn.cpp:6682
MethodPointXYZ
Constructor
repos/KPConv-PyTorch/cpp_wrappers/cpp_utils/cloud/cloud.h:54
MethodPointXYZ
Constructor
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_utils/cloud/cloud.h:54
MethodPooledAllocator
Default constructor. Initializes a new pool. */
repos/KPConv-PyTorch/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:626
MethodPooledAllocator
Default constructor. Initializes a new pool. */
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/nanoflann.hpp:580
MethodPooledAllocator
Default constructor. Initializes a new pool. */
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:626
FunctionPyInit_grid_subsampling
repos/KPConv-PyTorch/cpp_wrappers/cpp_subsampling/wrapper.cpp:52
FunctionPyInit_grid_subsampling
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_subsampling/wrapper.cpp:48
FunctionPyInit_radius_neighbors
repos/KPConv-PyTorch/cpp_wrappers/cpp_neighbors/wrapper.cpp:48
FunctionPyThread_tss_alloc
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/knn.cpp:402
FunctionPyThread_tss_create
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/knn.cpp:398
FunctionPyThread_tss_delete
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/knn.cpp:413
FunctionPyThread_tss_free
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/knn.cpp:407
FunctionPyThread_tss_get
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/knn.cpp:420
FunctionPyThread_tss_is_created
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/knn.cpp:410
FunctionPyThread_tss_set
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/knn.cpp:417
FunctionPy_ssize_t __Pyx_PyIndex_AsSsize_t
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/knn.cpp:9571
MethodRadiusResultSet
repos/KPConv-PyTorch/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:230
MethodRadiusResultSet
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/nanoflann.hpp:168
MethodRadiusResultSet
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:230
FunctionRailway3DCollate
(batch_data)
repos/KPConv-PyTorch/datasets/Railway3D.py:1596
FunctionRailway3DCollate
(batch_data)
repos/KPConv-PyTorch/datasets/Railway3D_only_xyz.py:1593
MethodSO2_Adaptor
repos/KPConv-PyTorch/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:461
MethodSO2_Adaptor
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/nanoflann.hpp:402
MethodSO2_Adaptor
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:461
MethodSO3_Adaptor
repos/KPConv-PyTorch/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:495
MethodSO3_Adaptor
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/nanoflann.hpp:434
MethodSO3_Adaptor
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:495
MethodSampledData
Constructor
repos/KPConv-PyTorch/cpp_wrappers/cpp_subsampling/grid_subsampling/grid_subsampling.h:27
MethodSampledData
Constructor
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_subsampling/grid_subsampling/grid_subsampling.h:27
MethodSearchParams
Note: The first argument (checks_IGNORED_) is ignored, but kept for * compatibility with the FLANN interface */
repos/KPConv-PyTorch/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:557
MethodSearchParams
Note: The first argument (checks_IGNORED_) is ignored, but kept for compatibility with the FLANN interface */
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/nanoflann.hpp:507
MethodSearchParams
Note: The first argument (checks_IGNORED_) is ignored, but kept for * compatibility with the FLANN interface */
repos/RandLA-Net-PyTorch/utils/cpp_wrappers/cpp_utils/nanoflann/nanoflann.hpp:557
Function__PYX_NAN
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/knn.cpp:581
Method__Pyx_FakeReference
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/knn.cpp:304
Function__Pyx_GetItemInt_Fast
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/knn.cpp:6623
Function__Pyx_GetItemInt_List_Fast
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/knn.cpp:6587
Function__Pyx_GetItemInt_Tuple_Fast
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/knn.cpp:6605
Function__Pyx_PyBool_FromLong
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/knn.cpp:9633
Function__Pyx_PyErr_ExceptionMatchesInState
repos/RandLA-Net-PyTorch/utils/nearest_neighbors/knn.cpp:7838
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