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Functions197 in github.com/Jun-CEN/Open-world-3D-semantic-segmentation

⨍ Functions 197◇ Types & classes 27
↓ 41 callersFunctionlovasz_softmax
Multi-class Lovasz-Softmax loss probas: [B, C, H, W] Variable, class probabilities at each prediction (between 0 and 1). Inte
utils/lovasz_losses.py:156
↓ 33 callersFunctionfast_hist_crop
(output, target, unique_label)
utils/metric_util.py:19
↓ 33 callersFunctionload_config_data
(path: str)
config/config.py:86
↓ 33 callersFunctionper_class_iu
(hist)
utils/metric_util.py:15
↓ 26 callersFunctionget_SemKITTI_label_name
(label_mapping)
dataloader/pc_dataset.py:552
↓ 26 callersFunctionload_checkpoint
(model_load_path, model)
utils/load_save_util.py:8
↓ 13 callersMethodforward_no_logits
(self, voxel_features, coors, batch_size)
network/segmentator_3d_asymm_spconv.py:350
↓ 9 callersMethodforward_incremental
(self, train_pt_fea_ten, train_vox_ten, batch_size, incre_cls=None)
network/cylinder_spconv_3d.py:111
↓ 7 callersFunctionget_nuScenes_label_name
(label_mapping)
dataloader/pc_dataset.py:562
↓ 7 callersFunctionload_checkpoint_1b1
(model_load_path, model)
utils/load_save_util.py:32
↓ 7 callersFunctionnb_process_label
(processed_label, sorted_label_voxel_pair)
dataloader/dataset_semantickitti.py:832
↓ 6 callersFunctionabsoluteFilePaths
(directory)
dataloader/pc_dataset.py:346
↓ 6 callersMethodforward_dummy_final
(self, train_pt_fea_ten, train_vox_ten, batch_size, ood_num)
network/cylinder_spconv_3d.py:76
↓ 6 callersFunctionmean
nanmean compatible with generators.
utils/lovasz_losses.py:302
↓ 5 callersMethod__init__
(self, in_filters, out_filters, kernel_size=(3, 3, 3), indice_key=None, up_key=None)
network/segmentator_3d_asymm_spconv.py:159
↓ 5 callersFunctioncart2polar
(input_xyz)
dataloader/dataset_semantickitti.py:130
↓ 5 callersFunctionconv1x3
(in_planes, out_planes, stride=1, indice_key=None)
network/segmentator_3d_asymm_spconv.py:16
↓ 5 callersFunctionconv3x1
(in_planes, out_planes, stride=1, indice_key=None)
network/segmentator_3d_asymm_spconv.py:36
↓ 5 callersFunctionnb_process_label
(processed_label, sorted_label_voxel_pair)
dataloader/dataset_nuscenes.py:527
↓ 5 callersFunctionpolar2cat
(input_xyz_polar)
dataloader/dataset_semantickitti.py:136
↓ 4 callersFunctioncart2polar
(input_xyz)
dataloader/dataset_nuscenes.py:12
↓ 4 callersFunctionflatten_probas
Flattens predictions in the batch
utils/lovasz_losses.py:205
↓ 4 callersMethodforward_DML
(self, train_pt_fea_ten, train_vox_ten, batch_size)
network/cylinder_spconv_3d.py:90
↓ 4 callersMethodforward_dropout
(self, train_pt_fea_ten, train_vox_ten, batch_size)
network/cylinder_spconv_3d.py:97
↓ 4 callersFunctionpolar2cat
(input_xyz_polar)
dataloader/dataset_nuscenes.py:18
↓ 3 callersFunctionflatten_binary_scores
Flattens predictions in the batch (binary case) Remove labels equal to 'ignore'
utils/lovasz_losses.py:117
↓ 3 callersFunctionget_model_class
(name)
dataloader/dataset_semantickitti.py:29
↓ 2 callersFunctionSemKITTI2train_single
(label)
dataloader/pc_dataset.py:360
↓ 2 callersFunctionconv1x1x3
(in_planes, out_planes, stride=1, indice_key=None)
network/segmentator_3d_asymm_spconv.py:21
↓ 2 callersFunctionconv1x3x1
(in_planes, out_planes, stride=1, indice_key=None)
network/segmentator_3d_asymm_spconv.py:26
↓ 2 callersFunctionconv3x1x1
(in_planes, out_planes, stride=1, indice_key=None)
network/segmentator_3d_asymm_spconv.py:31
↓ 2 callersFunctionconv3x3
(in_planes, out_planes, stride=1, indice_key=None)
network/segmentator_3d_asymm_spconv.py:11
↓ 2 callersMethodforward_dropout_eval
(self, train_pt_fea_ten, train_vox_ten, batch_size)
network/cylinder_spconv_3d.py:104
↓ 2 callersFunctionget_pc_model_class
(name)
dataloader/pc_dataset.py:24
↓ 2 callersFunctionlovasz_grad
Computes gradient of the Lovasz extension w.r.t sorted errors See Alg. 1 in paper
utils/lovasz_losses.py:21
↓ 2 callersFunctionlovasz_hinge_flat
Binary Lovasz hinge loss logits: [P] Variable, logits at each prediction (between -\infty and +\infty) labels: [P] Tensor, binary gro
utils/lovasz_losses.py:97
↓ 2 callersFunctionlovasz_softmax_flat
Multi-class Lovasz-Softmax loss probas: [P, C] Variable, class probabilities at each prediction (between 0 and 1) labels: [P] Tensor,
utils/lovasz_losses.py:174
↓ 1 callersFunctionbuild_dataset
(dataset_config, data_dir, grid_size=[480, 360, 32], dem
demo_folder.py:29
↓ 1 callersFunctionconfig_data_to_config
(data)
config/config.py:98
↓ 1 callersFunctionfast_hist
(pred, label, n)
utils/metric_util.py:8
↓ 1 callersMethodforward
(self, train_pt_fea_ten, train_vox_ten, batch_size)
network/cylinder_spconv_3d.py:41
↓ 1 callersMethodfuse_multi_scan
(self, points, pose0, pose)
dataloader/pc_dataset.py:484
↓ 1 callersFunctionget_model_class
(name)
network/cylinder_spconv_3d.py:19
↓ 1 callersMethodload_calib_poses
load calib poses and times.
dataloader/pc_dataset.py:403
↓ 1 callersFunctionmain
(args)
demo_folder.py:61
↓ 1 callersFunctionmain
(args)
semantickitti_scripts/train_cylinder_asym_DML.py:28
↓ 1 callersFunctionmain
(args)
semantickitti_scripts/val_cylinder_asym_dropout.py:33
↓ 1 callersFunctionmain
(args)
semantickitti_scripts/val_cylinder_asym.py:29
↓ 1 callersFunctionmain
(args)
semantickitti_scripts/train_cylinder_asym_dropout.py:27
↓ 1 callersFunctionmain
(args)
semantickitti_scripts/train_cylinder_asym_upper.py:27
↓ 1 callersFunctionmain
(args)
semantickitti_scripts/train_cylinder_asym_naive.py:27
↓ 1 callersFunctionmain
(args)
semantickitti_scripts/train_cylinder_asym_ood_final.py:29
↓ 1 callersFunctionmain
(args)
semantickitti_scripts/train_cylinder_asym_ood_incremental.py:31
↓ 1 callersFunctionmain
(args)
semantickitti_scripts/val_cylinder_asym_generate_incre_labels.py:29
↓ 1 callersFunctionmain
(args)
semantickitti_scripts/val_cylinder_asym_incre.py:30
↓ 1 callersFunctionmain
(args)
semantickitti_scripts/val_cylinder_asym_ood.py:29
↓ 1 callersFunctionmain
(args)
semantickitti_scripts/train_cylinder_asym_ood_basic.py:29
↓ 1 callersFunctionmain
(args)
semantickitti_scripts/test_cylinder_asym.py:29
↓ 1 callersFunctionmain
(args)
semantickitti_scripts/train_cylinder_asym.py:28
↓ 1 callersFunctionmain
(args)
semantickitti_scripts/val_cylinder_asym_upper.py:28
↓ 1 callersFunctionmain
(args)
semantickitti_scripts/test_cylinder_asym_incre.py:30
↓ 1 callersFunctionmain
(args)
nuScenes_scripts/train_cylinder_asym_nuscenes_ood_basic.py:29
↓ 1 callersFunctionmain
(args)
nuScenes_scripts/val_cylinder_asym_nusc_incre.py:30
↓ 1 callersFunctionmain
(args)
nuScenes_scripts/train_cylinder_asym_nuscenes_naive.py:27
↓ 1 callersFunctionmain
(args)
nuScenes_scripts/val_cylinder_asym_nusc_generate_incre_labels_1.py:30
↓ 1 callersFunctionmain
(args)
nuScenes_scripts/test_cylinder_asym_nusc_upper.py:30
↓ 1 callersFunctionmain
(args)
nuScenes_scripts/val_cylinder_asym_nusc.py:29
↓ 1 callersFunctionmain
(args)
nuScenes_scripts/val_cylinder_asym_nusc_ood.py:29
↓ 1 callersFunctionmain
(args)
nuScenes_scripts/val_cylinder_asym_nusc_generate_incre_labels.py:29
↓ 1 callersFunctionmain
(args)
nuScenes_scripts/val_cylinder_asym_nusc_dropout.py:33
↓ 1 callersFunctionmain
(args)
nuScenes_scripts/train_cylinder_asym_nuscenes_ood_final.py:30
↓ 1 callersFunctionmain
(args)
nuScenes_scripts/train_cylinder_asym_nuscenes_ood_DML.py:31
↓ 1 callersFunctionmain
(args)
nuScenes_scripts/test_cylinder_asym_nusc.py:30
↓ 1 callersFunctionmain
(args)
nuScenes_scripts/train_cylinder_asym_nuscenes_ood_incremental.py:30
↓ 1 callersFunctionmain
(args)
nuScenes_scripts/train_cylinder_asym_nuscenes.py:27
↓ 1 callersFunctionmain
(args)
nuScenes_scripts/val_cylinder_asym_nusc_upper.py:29
↓ 1 callersFunctionmain
(args)
nuScenes_scripts/train_cylinder_asym_nuscenes_dropout.py:27
↓ 1 callersMethodparse_calibration
read calibration file with given filename Returns ------- dict Calibration matrices as 4x4 numpy
dataloader/pc_dataset.py:429
↓ 1 callersMethodparse_poses
read poses file with per-scan poses from given filename Returns ------- list list of poses as 4x
dataloader/pc_dataset.py:456
↓ 1 callersMethodweight_initialization
(self)
network/segmentator_3d_asymm_spconv.py:67
↓ 1 callersMethodweight_initialization
(self)
network/segmentator_3d_asymm_spconv.py:126
↓ 1 callersMethodweight_initialization
(self)
network/segmentator_3d_asymm_spconv.py:184
FunctionSemKITTI2train
(label)
dataloader/pc_dataset.py:353
Method__getitem__
Generates one sample of data
dataloader/dataset_semantickitti.py:54
Method__getitem__
Generates one sample of data
dataloader/dataset_semantickitti.py:190
Method__getitem__
Generates one sample of data
dataloader/dataset_semantickitti.py:324
Method__getitem__
Generates one sample of data
dataloader/dataset_semantickitti.py:459
Method__getitem__
Generates one sample of data
dataloader/dataset_semantickitti.py:616
Method__getitem__
Generates one sample of data
dataloader/dataset_semantickitti.py:750
Method__getitem__
(self, index)
dataloader/pc_dataset.py:50
Method__getitem__
(self, index)
dataloader/pc_dataset.py:90
Method__getitem__
(self, index)
dataloader/pc_dataset.py:138
Method__getitem__
(self, index)
dataloader/pc_dataset.py:188
Method__getitem__
(self, index)
dataloader/pc_dataset.py:230
Method__getitem__
(self, index)
dataloader/pc_dataset.py:277
Method__getitem__
(self, index)
dataloader/pc_dataset.py:321
Method__getitem__
(self, index)
dataloader/pc_dataset.py:500
Method__getitem__
(self, index)
dataloader/dataset_nuscenes.py:49
Method__getitem__
(self, index)
dataloader/dataset_nuscenes.py:161
Method__getitem__
(self, index)
dataloader/dataset_nuscenes.py:274
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