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hub / github.com/DerrickXuNu/v2x-vit / types & classes

Types & classes52 in github.com/DerrickXuNu/v2x-vit

↓ 5 callersClassBaseBEVBackbone
v2xvit/models/sub_modules/base_bev_backbone.py:6
↓ 5 callersClassDownsampleConv
v2xvit/models/sub_modules/downsample_conv.py:32
↓ 5 callersClassPillarVFE
v2xvit/models/sub_modules/pillar_vfe.py:56
↓ 5 callersClassPointPillarScatter
v2xvit/models/sub_modules/point_pillar_scatter.py:5
↓ 5 callersClassPreNorm
v2xvit/models/sub_modules/base_transformer.py:7
↓ 4 callersClassNaiveCompressor
v2xvit/models/sub_modules/naive_compress.py:5
↓ 2 callersClassCavAttention
Vanilla CAV attention.
v2xvit/models/sub_modules/base_transformer.py:32
↓ 2 callersClassConvGRU
v2xvit/models/sub_modules/convgru.py:73
↓ 2 callersClassFeedForward
v2xvit/models/sub_modules/base_transformer.py:17
↓ 1 callersClassAttFusion
v2xvit/models/sub_modules/self_attn.py:36
↓ 1 callersClassBaseEncoder
v2xvit/models/sub_modules/base_transformer.py:83
↓ 1 callersClassBaseWindowAttention
v2xvit/models/sub_modules/mswin.py:19
↓ 1 callersClassConvGRUCell
v2xvit/models/sub_modules/convgru.py:7
↓ 1 callersClassDataAugmentor
Data Augmentor. Parameters ---------- augment_config : list A list of augmentation configuration. Attributes ------
v2xvit/data_utils/augmentor/data_augmentor.py:9
↓ 1 callersClassDoubleConv
Double convoltuion Args: in_channels: input channel num out_channels: output channel num
v2xvit/models/sub_modules/downsample_conv.py:9
↓ 1 callersClassEarlyFusionVisDataset
v2xvit/data_utils/datasets/early_fusion_vis_dataset.py:18
↓ 1 callersClassHGTCavAttention
v2xvit/models/sub_modules/hmsa.py:7
↓ 1 callersClassPFNLayer
v2xvit/models/sub_modules/pillar_vfe.py:10
↓ 1 callersClassPixorLoss
v2xvit/loss/pixor_loss.py:8
↓ 1 callersClassPyramidWindowAttention
v2xvit/models/sub_modules/mswin.py:83
↓ 1 callersClassRTE
v2xvit/models/sub_modules/v2xvit_basic.py:62
↓ 1 callersClassRadixSoftmax
v2xvit/models/sub_modules/split_attn.py:6
↓ 1 callersClassRelTemporalEncoding
Implement the Temporal Encoding (Sinusoid) function.
v2xvit/models/sub_modules/v2xvit_basic.py:35
↓ 1 callersClassSTTF
v2xvit/models/sub_modules/v2xvit_basic.py:11
↓ 1 callersClassScaledDotProductAttention
Scaled Dot-Product Attention proposed in "Attention Is All You Need" Compute the dot products of the query with all keys, divide each by sqrt
v2xvit/models/sub_modules/self_attn.py:7
↓ 1 callersClassSpatialFusion
v2xvit/models/sub_modules/f_cooper_fuse.py:8
↓ 1 callersClassSplitAttn
v2xvit/models/sub_modules/split_attn.py:30
↓ 1 callersClassV2VNetFusion
v2xvit/models/sub_modules/v2v_fuse.py:14
↓ 1 callersClassV2XFusionBlock
v2xvit/models/sub_modules/v2xvit_basic.py:82
↓ 1 callersClassV2XTEncoder
v2xvit/models/sub_modules/v2xvit_basic.py:123
↓ 1 callersClassV2XTransformer
v2xvit/models/sub_modules/v2xvit_basic.py:181
↓ 1 callersClassWeightedSmoothL1Loss
Code-wise Weighted Smooth L1 Loss modified based on fvcore.nn.smooth_l1_loss https://github.com/facebookresearch/fvcore/blob/master/fvcore/nn
v2xvit/loss/point_pillar_loss.py:7
ClassBaseDataset
Base dataset for all kinds of fusion. Mainly used to assign correct index and add noise. Parameters __________ params : dict
v2xvit/data_utils/datasets/basedataset.py:20
ClassBasePostprocessor
Template for Anchor generator. Parameters ---------- anchor_params : dict The dictionary containing all anchor-related param
v2xvit/data_utils/post_processor/base_postprocessor.py:11
ClassBasePreprocessor
Basic Lidar pre-processor. Parameters ---------- preprocess_params : dict The dictionary containing all parameters of the pr
v2xvit/data_utils/pre_processor/base_preprocessor.py:6
ClassBaseTransformer
v2xvit/models/sub_modules/base_transformer.py:103
ClassBevPostprocessor
v2xvit/data_utils/post_processor/bev_postprocessor.py:16
ClassBevPreprocessor
v2xvit/data_utils/pre_processor/bev_preprocessor.py:10
ClassEarlyFusionDataset
v2xvit/data_utils/datasets/early_fusion_dataset.py:21
ClassIntermediateFusionDataset
v2xvit/data_utils/datasets/intermediate_fusion_dataset.py:20
ClassLateFusionDataset
v2xvit/data_utils/datasets/late_fusion_dataset.py:23
ClassPointPillar
v2xvit/models/point_pillar.py:12
ClassPointPillarFCooper
v2xvit/models/point_pillar_fcooper.py:11
ClassPointPillarLoss
v2xvit/loss/point_pillar_loss.py:68
ClassPointPillarOPV2V
v2xvit/models/point_pillar_opv2v.py:11
ClassPointPillarTransformer
v2xvit/models/point_pillar_transformer.py:13
ClassPointPillarV2VNet
v2xvit/models/point_pillar_v2vnet.py:12
ClassSpVoxelPreprocessor
v2xvit/data_utils/pre_processor/sp_voxel_preprocessor.py:15
ClassTest
Test the transformation in this file. The methods in this class are not supposed to be used outside of this file.
v2xvit/models/sub_modules/torch_transformation_utils.py:360
ClassVoxelNetLoss
v2xvit/loss/voxel_net_loss.py:6
ClassVoxelPostprocessor
v2xvit/data_utils/post_processor/voxel_postprocessor.py:18
ClassVoxelPreprocessor
v2xvit/data_utils/pre_processor/voxel_preprocessor.py:13