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hub / github.com/MaverickPeter/vDiSCO / types & classes

Types & classes217 in github.com/MaverickPeter/vDiSCO

↓ 8 callersClassSparseBasicBlock
prnet/models/backbones_3d/spconv_backbone.py:30
↓ 8 callersClassSparseBasicBlock
prnet/models/backbones_3d/spconv_backbone_2d.py:40
↓ 6 callersClassEvaluationTuple
prnet/datasets/base_datasets.py:38
↓ 5 callersClassMLP
prnet/models/model_utils/mppnet_utils.py:96
↓ 5 callersClassUpsamplingConcat
prnet/models/localizer/fusion.py:637
↓ 4 callersClassSparseBasicBlock
prnet/models/backbones_3d/spconv_unet.py:11
↓ 4 callersClassSparseSequentialBatchdict
prnet/models/backbones_3d/spconv_backbone_focal.py:23
↓ 4 callersClassUpsamplingConcat
prnet/models/localizer/deformable_fusion.py:647
↓ 4 callersClassUpsamplingConcat
prnet/models/localizer/netvlad.py:394
↓ 3 callersClassEvaluationSet
prnet/datasets/base_datasets.py:134
↓ 3 callersClassGLEvaluator
tools/evaluate.py:123
↓ 3 callersClassJitterPoints
prnet/datasets/augmentation.py:190
↓ 3 callersClassNCLTSequence
Dataset returns a point cloud from a train or test split from one sequence from a raw Mulran dataset
prnet/datasets/nclt/nclt_raw.py:136
↓ 3 callersClassNCLTSequences
Multiple NCLT sequences indexed as a single dataset. Each element is identified by a unique global index.
prnet/datasets/nclt/nclt_raw.py:227
↓ 3 callersClassNetVLADLoupe
prnet/models/aggregation/NetVLADLoupe.py:12
↓ 3 callersClassOxfordSequence
Dataset returns a point cloud from a train or test split from one sequence from a raw Mulran dataset
prnet/datasets/oxford/oxford_raw.py:165
↓ 3 callersClassOxfordSequences
Multiple Oxford sequences indexed as a single dataset. Each element is identified by a unique global index.
prnet/datasets/oxford/oxford_raw.py:321
↓ 3 callersClassRandomFlip
prnet/datasets/augmentation.py:97
↓ 3 callersClassRemoveRandomBlock
Randomly remove part of the point cloud. Similar to PyTorch RandomErasing but operating on 3D point clouds. Erases fronto-parallel cuboid.
prnet/datasets/augmentation.py:251
↓ 3 callersClassRemoveRandomPoints
prnet/datasets/augmentation.py:225
↓ 3 callersClassUpsamplingAdd
prnet/models/localizer/deformable_fusion.py:668
↓ 3 callersClassUpsamplingAdd
prnet/models/localizer/fusion.py:658
↓ 3 callersClassUpsamplingAdd
prnet/models/localizer/netvlad.py:415
↓ 3 callersClassUpsamplingConcat
prnet/models/localizer/deformable.py:53
↓ 2 callersClassBasicBlock
prnet/models/backbones_3d/spconv_backbone_2d.py:79
↓ 2 callersClassBasicBlock2D
prnet/models/model_utils/basic_block_2d.py:4
↓ 2 callersClassBatchSampler
prnet/datasets/samplers.py:45
↓ 2 callersClassCameraModel
Provides intrinsic parameters and undistortion LUT for a camera. Attributes: camera (str): Name of the camera. camera sensor (str
prnet/datasets/oxford/python/camera_model.py:22
↓ 2 callersClassCorr2Softmax
prnet/utils/loss_utils.py:332
↓ 2 callersClassEncoder_eff
prnet/models/localizer/deformable.py:126
↓ 2 callersClassFFN
prnet/models/model_utils/mppnet_utils.py:377
↓ 2 callersClassFocalLoss
prnet/models/backbones_3d/focal_sparse_conv/focal_sparse_utils.py:7
↓ 2 callersClassGeM
prnet/models/aggregation/GeM.py:6
↓ 2 callersClassHardTripletMinerWithMasks
prnet/models/loss.py:79
↓ 2 callersClassModelParams
prnet/utils/params.py:10
↓ 2 callersClassNCLTPointCloudWithImageLoader
prnet/datasets/nclt/nclt_raw.py:94
↓ 2 callersClassOxfordPointCloudWithImageLoader
prnet/datasets/oxford/oxford_raw.py:105
↓ 2 callersClassPFNLayerV2
prnet/models/backbones_3d/vfe/dynamic_pillar_vfe.py:14
↓ 2 callersClassPolarQuantizer
prnet/datasets/quantization.py:22
↓ 2 callersClassRandomRotation
prnet/datasets/augmentation.py:120
↓ 2 callersClassRandomTranslation
prnet/datasets/augmentation.py:162
↓ 2 callersClassSpatialCrossAttention
prnet/models/attention/attentions.py:72
↓ 2 callersClassStitcher
prnet/datasets/panorama.py:139
↓ 2 callersClassTrainingDataset
prnet/datasets/base_datasets.py:55
↓ 2 callersClassTrainingTuple
prnet/datasets/base_datasets.py:17
↓ 2 callersClassUNet
prnet/models/localizer/deformable_fusion.py:681
↓ 2 callersClassUNet
prnet/models/localizer/fusion.py:671
↓ 2 callersClassVanillaSelfAttention
prnet/models/attention/attentions.py:31
↓ 1 callersClassBalancer
prnet/models/backbones_3d/vfe/image_vfe_modules/ffn/ddn_loss/balancer.py:7
↓ 1 callersClassBasicBlock2D
prnet/models/backbones_3d/focal_sparse_conv/SemanticSeg/basic_blocks.py:35
↓ 1 callersClassBatchHardContrastiveLossWithMasks
prnet/models/loss.py:159
↓ 1 callersClassBatchHardTripletLossWithMasks
prnet/models/loss.py:130
↓ 1 callersClassCameraModel
Provides intrinsic parameters and undistortion LUT for a camera. Attributes: camera (str): Name of the camera. camera sensor (str
prnet/datasets/oxford/image_preprocess.py:15
↓ 1 callersClassCartesianQuantizer
prnet/datasets/quantization.py:87
↓ 1 callersClassConvDimReduction
Dimensionality reduction as a convolutional layer :param int input_dim: Network out_channels :param in dim: Whitening out_channels, for dimen
prnet/models/localizer/hownet.py:49
↓ 1 callersClassDeformAttnFusionNet
prnet/models/localizer/deformable_fusion.py:55
↓ 1 callersClassDeformableNet
prnet/models/localizer/deformable.py:216
↓ 1 callersClassDolgLocalBranch
prnet/models/localizer/dolgnet.py:35
↓ 1 callersClassDolgNet
prnet/models/localizer/dolgnet.py:83
↓ 1 callersClassEncoder_eff
prnet/models/localizer/deformable_fusion.py:730
↓ 1 callersClassEncoder_res101
prnet/models/localizer/deformable_fusion.py:604
↓ 1 callersClassEncoder_res101
prnet/models/localizer/deformable.py:88
↓ 1 callersClassEncoder_res18
prnet/models/localizer/fusion.py:614
↓ 1 callersClassEncoder_res18
prnet/models/localizer/netvlad.py:371
↓ 1 callersClassEncoder_res50
prnet/models/localizer/deformable_fusion.py:584
↓ 1 callersClassEncoder_res50
prnet/models/localizer/fusion.py:574
↓ 1 callersClassEncoder_res50
prnet/models/localizer/deformable.py:107
↓ 1 callersClassEncoder_res50
prnet/models/localizer/netvlad.py:331
↓ 1 callersClassFrustumGridGenerator
prnet/models/backbones_3d/vfe/image_vfe_modules/f2v/frustum_grid_generator.py:15
↓ 1 callersClassFusionNet
prnet/models/localizer/fusion.py:49
↓ 1 callersClassGatingContext
prnet/models/aggregation/NetVLADLoupe.py:85
↓ 1 callersClassGeM
prnet/models/localizer/deformable_fusion.py:568
↓ 1 callersClassGeM
prnet/models/localizer/fusion.py:558
↓ 1 callersClassHowNet
prnet/models/localizer/hownet.py:72
↓ 1 callersClassL2Attention
Compute the attention as L2-norm of local descriptors
prnet/models/attention/attentions.py:24
↓ 1 callersClassL2Norm
prnet/models/model_factory.py:14
↓ 1 callersClassListDict
prnet/datasets/samplers.py:10
↓ 1 callersClassMSDeformAttn
prnet/ops/modules/ms_deform_attn.py:30
↓ 1 callersClassMSDeformAttn3D
An attention module used in BEVFormer based on Deformable-Detr. `Deformable DETR: Deformable Transformers for End-to-End Object Detection. <ht
prnet/ops/modules/ms_deform_attn.py:117
↓ 1 callersClassMultiAtrous
prnet/models/localizer/dolgnet.py:9
↓ 1 callersClassNCLTPointCloudLoader
prnet/datasets/nclt/nclt_raw.py:118
↓ 1 callersClassNetVLAD
prnet/models/localizer/netvlad.py:117
↓ 1 callersClassNetVLAD_Pretrain
NetVLAD layer implementation
prnet/models/localizer/netvlad.py:33
↓ 1 callersClassNetVLAD_finetune
prnet/models/model_factory.py:45
↓ 1 callersClassOrthogonalFusion
prnet/models/localizer/dolgnet.py:66
↓ 1 callersClassOverlapLoss
prnet/models/loss.py:27
↓ 1 callersClassOxfordPointCloudLoader
prnet/datasets/oxford/oxford_raw.py:140
↓ 1 callersClassPFNLayer
prnet/models/backbones_3d/vfe/pillar_vfe.py:8
↓ 1 callersClassPointNetfeat
prnet/models/model_utils/mppnet_utils.py:11
↓ 1 callersClassSampler
prnet/models/backbones_3d/vfe/image_vfe_modules/f2v/sampler.py:8
↓ 1 callersClassSemDeepLabV3
prnet/models/backbones_3d/focal_sparse_conv/SemanticSeg/sem_deeplabv3.py:145
↓ 1 callersClassSmoothingAvgPooling
Average pooling that smoothens the feature map, keeping its size :param int kernel_size: Kernel size of given pooling (e.g. 3)
prnet/models/localizer/hownet.py:13
↓ 1 callersClassSpatialMixerBlock
prnet/models/model_utils/mppnet_utils.py:109
↓ 1 callersClassStackSAModuleMSG
prnet/ops/pointnet2/pointnet2_stack/pointnet2_modules.py:30
↓ 1 callersClassTrainRGBTransform
prnet/datasets/augmentation.py:60
↓ 1 callersClassTrainSetTransform
prnet/datasets/augmentation.py:40
↓ 1 callersClassTrainTransform
prnet/datasets/augmentation.py:10
↓ 1 callersClassTrainingParams
Parameters for model training
prnet/utils/params.py:122
↓ 1 callersClassTransformer
prnet/models/model_utils/mppnet_utils.py:155
↓ 1 callersClassTransformerEncoder
prnet/models/model_utils/mppnet_utils.py:241
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