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github.com/DerrickXuNu/v2x-vit
/ types & classes
Types & classes
52 in github.com/DerrickXuNu/v2x-vit
⨍
Functions
300
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Types & classes
52
↓ 5 callers
Class
BaseBEVBackbone
v2xvit/models/sub_modules/base_bev_backbone.py:6
↓ 5 callers
Class
DownsampleConv
v2xvit/models/sub_modules/downsample_conv.py:32
↓ 5 callers
Class
PillarVFE
v2xvit/models/sub_modules/pillar_vfe.py:56
↓ 5 callers
Class
PointPillarScatter
v2xvit/models/sub_modules/point_pillar_scatter.py:5
↓ 5 callers
Class
PreNorm
v2xvit/models/sub_modules/base_transformer.py:7
↓ 4 callers
Class
NaiveCompressor
v2xvit/models/sub_modules/naive_compress.py:5
↓ 2 callers
Class
CavAttention
Vanilla CAV attention.
v2xvit/models/sub_modules/base_transformer.py:32
↓ 2 callers
Class
ConvGRU
v2xvit/models/sub_modules/convgru.py:73
↓ 2 callers
Class
FeedForward
v2xvit/models/sub_modules/base_transformer.py:17
↓ 1 callers
Class
AttFusion
v2xvit/models/sub_modules/self_attn.py:36
↓ 1 callers
Class
BaseEncoder
v2xvit/models/sub_modules/base_transformer.py:83
↓ 1 callers
Class
BaseWindowAttention
v2xvit/models/sub_modules/mswin.py:19
↓ 1 callers
Class
ConvGRUCell
v2xvit/models/sub_modules/convgru.py:7
↓ 1 callers
Class
DataAugmentor
Data Augmentor. Parameters ---------- augment_config : list A list of augmentation configuration. Attributes ------
v2xvit/data_utils/augmentor/data_augmentor.py:9
↓ 1 callers
Class
DoubleConv
Double convoltuion Args: in_channels: input channel num out_channels: output channel num
v2xvit/models/sub_modules/downsample_conv.py:9
↓ 1 callers
Class
EarlyFusionVisDataset
v2xvit/data_utils/datasets/early_fusion_vis_dataset.py:18
↓ 1 callers
Class
HGTCavAttention
v2xvit/models/sub_modules/hmsa.py:7
↓ 1 callers
Class
PFNLayer
v2xvit/models/sub_modules/pillar_vfe.py:10
↓ 1 callers
Class
PixorLoss
v2xvit/loss/pixor_loss.py:8
↓ 1 callers
Class
PyramidWindowAttention
v2xvit/models/sub_modules/mswin.py:83
↓ 1 callers
Class
RTE
v2xvit/models/sub_modules/v2xvit_basic.py:62
↓ 1 callers
Class
RadixSoftmax
v2xvit/models/sub_modules/split_attn.py:6
↓ 1 callers
Class
RelTemporalEncoding
Implement the Temporal Encoding (Sinusoid) function.
v2xvit/models/sub_modules/v2xvit_basic.py:35
↓ 1 callers
Class
STTF
v2xvit/models/sub_modules/v2xvit_basic.py:11
↓ 1 callers
Class
ScaledDotProductAttention
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 callers
Class
SpatialFusion
v2xvit/models/sub_modules/f_cooper_fuse.py:8
↓ 1 callers
Class
SplitAttn
v2xvit/models/sub_modules/split_attn.py:30
↓ 1 callers
Class
V2VNetFusion
v2xvit/models/sub_modules/v2v_fuse.py:14
↓ 1 callers
Class
V2XFusionBlock
v2xvit/models/sub_modules/v2xvit_basic.py:82
↓ 1 callers
Class
V2XTEncoder
v2xvit/models/sub_modules/v2xvit_basic.py:123
↓ 1 callers
Class
V2XTransformer
v2xvit/models/sub_modules/v2xvit_basic.py:181
↓ 1 callers
Class
WeightedSmoothL1Loss
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
Class
BaseDataset
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
Class
BasePostprocessor
Template for Anchor generator. Parameters ---------- anchor_params : dict The dictionary containing all anchor-related param
v2xvit/data_utils/post_processor/base_postprocessor.py:11
Class
BasePreprocessor
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
Class
BaseTransformer
v2xvit/models/sub_modules/base_transformer.py:103
Class
BevPostprocessor
v2xvit/data_utils/post_processor/bev_postprocessor.py:16
Class
BevPreprocessor
v2xvit/data_utils/pre_processor/bev_preprocessor.py:10
Class
EarlyFusionDataset
v2xvit/data_utils/datasets/early_fusion_dataset.py:21
Class
IntermediateFusionDataset
v2xvit/data_utils/datasets/intermediate_fusion_dataset.py:20
Class
LateFusionDataset
v2xvit/data_utils/datasets/late_fusion_dataset.py:23
Class
PointPillar
v2xvit/models/point_pillar.py:12
Class
PointPillarFCooper
v2xvit/models/point_pillar_fcooper.py:11
Class
PointPillarLoss
v2xvit/loss/point_pillar_loss.py:68
Class
PointPillarOPV2V
v2xvit/models/point_pillar_opv2v.py:11
Class
PointPillarTransformer
v2xvit/models/point_pillar_transformer.py:13
Class
PointPillarV2VNet
v2xvit/models/point_pillar_v2vnet.py:12
Class
SpVoxelPreprocessor
v2xvit/data_utils/pre_processor/sp_voxel_preprocessor.py:15
Class
Test
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
Class
VoxelNetLoss
v2xvit/loss/voxel_net_loss.py:6
Class
VoxelPostprocessor
v2xvit/data_utils/post_processor/voxel_postprocessor.py:18
Class
VoxelPreprocessor
v2xvit/data_utils/pre_processor/voxel_preprocessor.py:13