├── README.md └── SPHnet ├── data_providers ├── __pycache__ │ ├── absolute_matching_datasets.cpython-35.pyc │ ├── absolute_matching_provider.cpython-35.pyc │ ├── classifiaction_provider.cpython-35.pyc │ ├── classification_datasets.cpython-35.pyc │ ├── hierarchical_absolute_matching_provider.cpython-35.pyc │ ├── seg_provider.cpython-35.pyc │ └── segmentation_datasets.cpython-35.pyc ├── classifiaction_provider.py ├── classification_datasets.py ├── seg_provider.py └── segmentation_datasets.py ├── layers ├── __pycache__ │ ├── kd_tree_conv_layer.cpython-35.pyc │ ├── kd_tree_deconv.cpython-35.pyc │ └── kd_tree_pooling.cpython-35.pyc ├── kd_tree_conv_layer.py ├── kd_tree_deconv.py └── kd_tree_pooling.py ├── methods ├── __pycache__ │ ├── classification3_methods.cpython-35.pyc │ └── segmentation_methods.cpython-35.pyc ├── classification3_methods.py └── segmentation_methods.py ├── networks ├── __pycache__ │ ├── classification_network.cpython-35.pyc │ ├── conv_net.cpython-35.pyc │ └── seg_network.cpython-35.pyc ├── classification_network.py ├── conv_net.py └── seg_network.py ├── spherical_harmonics ├── __pycache__ │ ├── np_spherical_harmonics.cpython-35.pyc │ ├── tf_spherical_harmonics.cpython-35.pyc │ └── wigner_matrix.cpython-35.pyc ├── clebsh_gordan_decomposition.py ├── higher_clebsh_gordan.py ├── np_spherical_harmonics.py ├── tf_spherical_harmonics.py └── wigner_matrix.py ├── train_classification.py ├── train_segmentation.py └── utils ├── __pycache__ ├── conv_kernel.cpython-35.pyc ├── data_prep_utils.cpython-35.pyc ├── gram_mat.cpython-35.pyc ├── patches_builder.cpython-35.pyc ├── pointclouds_utils.cpython-35.pyc ├── save_model.cpython-35.pyc ├── sh_conv.cpython-35.pyc ├── test.cpython-35.pyc └── visualize_shapes.cpython-35.pyc ├── batch_norm.py ├── confusion_matrix.py ├── conv_kernel.py ├── data_prep_utils.py ├── patches_builder.py ├── pointclouds_utils.py ├── save_model.py └── sh_conv.py /README.md: 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