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github.com/RozDavid/UnScene3D
/ types & classes
Types & classes
235 in github.com/RozDavid/UnScene3D
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Functions
1,028
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Types & classes
235
↓ 4 callers
Class
NoGpu
datasets/utils.py:670
↓ 4 callers
Class
OrderedSet
utils/utils.py:340
↓ 3 callers
Class
NestedTensor
models/misc.py:25
↓ 3 callers
Class
Project2DFeaturesCUDA
utils/cuda_utils/raycast_image.py:18
↓ 2 callers
Class
GenericMLP
models/modules/helpers_3detr.py:45
↓ 2 callers
Class
PositionEmbeddingCoordsSine
models/position_embedding.py:43
↓ 2 callers
Class
SELayer
models/modules/senet_block.py:8
↓ 2 callers
Class
Voxelizer
pseudo_masks/datasets/voxelizer.py:13
↓ 1 callers
Class
CloudInstance
pseudo_masks/datasets/scannet_free.py:8
↓ 1 callers
Class
CrossAttentionLayer
models/mask3d.py:548
↓ 1 callers
Class
Evaluator
pseudo_masks/datasets/evaluation/evaluate_semantic_instance.py:46
↓ 1 callers
Class
Evaluator
pseudo_masks/datasets/evaluation/evaluate_semantic_label.py:32
↓ 1 callers
Class
FFNLayer
models/mask3d.py:611
↓ 1 callers
Class
InfSampler
Samples elements randomly, without replacement. Arguments: data_source (Dataset): dataset to sample from
pseudo_masks/datasets/dataloader.py:12
↓ 1 callers
Class
Instance
pseudo_masks/datasets/evaluation/scannet_benchmark_utils/util_3d.py:88
↓ 1 callers
Class
Instance
benchmark/util_3d.py:82
↓ 1 callers
Class
InstanceSegmentation
trainer/trainer.py:44
↓ 1 callers
Class
IoU
Computes the intersection over union (IoU) per class and corresponding mean (mIoU). Intersection over union (IoU) is a common evaluation metr
models/metrics/metrics.py:4
↓ 1 callers
Class
PositionalEncoding3D
models/mask3d.py:459
↓ 1 callers
Class
ProjectionFunctionWrapper
models/noise_robust_loss.py:74
↓ 1 callers
Class
ProjectionMaskLoss
models/noise_robust_loss.py:105
↓ 1 callers
Class
RandomCuboid
RandomCuboid augmentation from DepthContrast [https://arxiv.org/abs/2101.02691] We slightly modify this operation to account for object detec
datasets/random_cuboid.py:17
↓ 1 callers
Class
RegularCheckpointing
trainer/trainer.py:38
↓ 1 callers
Class
SelfAttentionLayer
models/mask3d.py:491
↓ 1 callers
Class
Timer
A simple timer.
utils/utils.py:369
↓ 1 callers
Class
cfl_collate_fn_factory
Generates collate function for coords, feats, labels. Args: limit_numpoints: If 0 or False, does not alter batch size. If positive inte
utils/transforms.py:274
Class
ARKit_10cmDataset
pseudo_masks/datasets/arkit.py:176
Class
ARKit_2cmDataset
pseudo_masks/datasets/arkit.py:172
Class
ARKit_Dataset
pseudo_masks/datasets/arkit.py:3
Class
Aggregation
utils/pointops2/functions/pointops_ablation.py:134
Class
Aggregation
utils/pointops2/functions/pointops2.py:133
Class
Aggregation
utils/pointops2/functions/pointops.py:721
Class
AttentionStep1
utils/pointops2/functions/pointops.py:78
Class
AttentionStep1_v2
utils/pointops2/functions/pointops.py:138
Class
AttentionStep2
utils/pointops2/functions/pointops.py:203
Class
AttentionStep2WithRelPosValue
utils/pointops2/functions/pointops.py:517
Class
AttentionStep2WithRelPosValue_v2
utils/pointops2/functions/pointops.py:580
Class
AttentionStep2_v2
utils/pointops2/functions/pointops.py:264
Class
AverageMeter
Computes and stores the average and current value
utils/utils.py:417
Class
BasePreprocessing
datasets/preprocessing/base_preprocessing.py:17
Class
BasicBlock
models/modules/resnet_block.py:67
Class
BasicBlockBase
models/modules/resnet_block.py:7
Class
BasicBlockIN
models/modules/resnet_block.py:71
Class
BasicBlockINBN
models/modules/resnet_block.py:75
Class
BatchNormDim1Swap
Used for nn.Transformer that uses a HW x N x C rep
models/modules/helpers_3detr.py:7
Class
BatchNormDim1Swap
Used for nn.Transformer that uses a HW x N x C rep
models/modules/3detr_helpers.py:7
Class
Bottleneck
models/modules/resnet_block.py:140
Class
BottleneckBase
models/modules/resnet_block.py:79
Class
BottleneckIN
models/modules/resnet_block.py:144
Class
BottleneckINBN
models/modules/resnet_block.py:148
Enum
CUTBoolean
/////////////////////////////////////////////////////////////////////// CUT bool type ////////////////////////////////////////////////////////////////
utils/cuda_utils/include/cutil_inline_runtime.h:35
Class
Camera
utils/pc_utils.py:126
Class
ChromaticAutoContrast
utils/transforms.py:40
Class
ChromaticJitter
utils/transforms.py:66
Class
ChromaticScale
utils/transforms.py:80
Class
ChromaticTranslation
Add random color to the image, input must be an array in [0,255] or a PIL image
utils/transforms.py:23
Class
Compose
Composes several transforms together.
utils/transforms.py:248
Class
ConfusionMatrix
Constructs a confusion matrix for a multi-class classification problems. Does not support multi-label, multi-class problems. Keyword argumen
models/metrics/confusionmatrix.py:5
Class
ConvType
Define the kernel region type
models/modules/common.py:34
Class
Custom30M
models/res16unet.py:376
Class
DatasetPhase
pseudo_masks/datasets/dataset.py:23
Class
DictDataset
pseudo_masks/datasets/dataset.py:91
Class
DinoNet
models/encoders_2d/dino.py:7
Class
DistributedInfSampler
pseudo_masks/datasets/dataloader.py:45
Class
DotProdWithIdx
utils/pointops2/functions/pointops.py:316
Class
DotProdWithIdx_v2
utils/pointops2/functions/pointops.py:368
Class
DotProdWithIdx_v3
utils/pointops2/functions/pointops.py:442
Class
ElasticDistortion
utils/transforms.py:202
Class
ExpTimer
Exponential Moving Average Timer
utils/utils.py:403
Class
FreeMaskPreprocessing
datasets/preprocessing/freemask_preprocessing.py:14
Class
FreeMaskPreprocessing
datasets/preprocessing/arkit_preprocessing.py:15
Class
FreeMaskVoxelizeCollate
datasets/utils.py:181
Class
FurthestSampling
utils/pointops2/functions/pointops_ablation.py:10
Class
FurthestSampling
utils/pointops2/functions/pointops2.py:10
Class
FurthestSampling
utils/pointops2/functions/pointops.py:10
Class
GenericMLP
models/modules/3detr_helpers.py:45
Class
Grouping
utils/pointops2/functions/pointops_ablation.py:48
Class
Grouping
utils/pointops2/functions/pointops2.py:48
Class
Grouping
utils/pointops2/functions/pointops.py:48
Class
HashTimeBatch
utils/utils.py:491
Class
HighDimensionalModel
Base network for all spatio (temporal) chromatic sparse convnet
models/model.py:20
Class
HueSaturationTranslation
utils/transforms.py:92
Class
HungarianMatcher
This class computes an assignment between the targets and the predictions of the network For efficiency reasons, the targets don't include the no
models/matcher.py:67
Class
Interpolation
utils/pointops2/functions/pointops_ablation.py:182
Class
Interpolation
utils/pointops2/functions/pointops2.py:181
Class
Interpolation
utils/pointops2/functions/pointops.py:796
Class
InterpolationFunction
utils/cuda_utils/cuda_utils.py:16
Class
KNNQuery
utils/pointops2/functions/pointops_ablation.py:30
Class
KNNQuery
utils/pointops2/functions/pointops2.py:30
Class
KNNQuery
utils/pointops2/functions/pointops.py:30
Class
LSegNet
models/encoders_2d/lseg.py:8
Class
LidarDataset
datasets/outdoor_semseg.py:14
Class
Logger
utils/votenet_utils/tf_logger.py:15
Class
Mask3D
models/mask3d.py:16
Class
MatterportPreprocessing
datasets/preprocessing/matterport_preprocessing.py:21
Class
MinkUNetBase
models/resunet.py:11
Class
MinkUNetHyper
models/resunet.py:294
Class
MinkUNetHyper14INBN
models/resunet.py:539
Class
Model
Base network for all sparse convnet By default, all networks are segmentation networks.
models/model.py:4
Class
NoGpuMask
datasets/utils.py:689
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