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hub / github.com/XunshanMan/MVGFormer / types & classes

Types & classes78 in github.com/XunshanMan/MVGFormer

↓ 31 callersClassAverageMeter
Computes and stores the average and current value
lib/core/function.py:588
↓ 20 callersClassRes3DBlock
lib/mvn/models/v2v.py:20
↓ 12 callersClassLine3D
lib/mvn/utils/volumetric.py:25
↓ 10 callersClassAverageMeter
Computes and stores the average and current value
lib/models/dq_decoder.py:70
↓ 5 callersClassAverageMeter
Computes and stores the average and current value
lib/models/dq_transformer.py:66
↓ 5 callersClassDistributedSampler
Sampler that restricts data loading to a subset of the dataset. It is especially useful in conjunction with :class:`torch.nn.parallel.Distribu
lib/dataset/samplers.py:30
↓ 5 callersClassPool3DBlock
lib/mvn/models/v2v.py:45
↓ 5 callersClassUpsample3DBlock
lib/mvn/models/v2v.py:54
↓ 3 callersClassBasic3DBlock
lib/mvn/models/v2v.py:7
↓ 3 callersClassDictTree
A efficient tree structure that discribes nodes in dictionaries. Use the capital word NODE for nodes in this tree. All NODEs are dictionarie
lib/structural/structural_triangulation.py:8
↓ 3 callersClassMLP
Very simple multi-layer perceptron (also called FFN) Args: input_dim: The dimension of input feature. hidden_dim: The dimensi
lib/models/multi_view_pose_transformer.py:81
↓ 2 callersClassGlobalAveragePoolingHead
lib/mvn/models/pose_resnet.py:140
↓ 2 callersClassHuman36MMultiViewDataset
Human3.6M for multiview tasks.
lib/mvn/datasets/human36m.py:16
↓ 2 callersClassHungarianMatcher
This class computes an assignment between the targets and the predictions of the network For efficiency reasons, the targets don't include th
lib/models/matcher.py:20
↓ 2 callersClassNestedTensor
lib/utils/misc.py:333
↓ 2 callersClassNestedTensor
lib/models/util/misc.py:420
↓ 2 callersClassPositionEmbeddingSine
This is a more standard version of the position embedding, very similar to the one used by the Attention is all you need paper, gener
lib/models/position_encoding.py:25
↓ 2 callersClassProjAttn
lib/models/ops/modules/projattn.py:42
↓ 2 callersClassSmoothedValue
Track a series of values and provide access to smoothed values over a window or the global series average.
lib/utils/misc.py:50
↓ 2 callersClassSmoothedValue
Track a series of values and provide access to smoothed values over a window or the global series average.
lib/models/util/misc.py:86
↓ 1 callersClassCamera
lib/mvn/utils/multiview.py:5
↓ 1 callersClassDQDecoder
lib/models/dq_decoder.py:1101
↓ 1 callersClassDQDecoderLayer
lib/models/dq_decoder.py:248
↓ 1 callersClassDiscriminator
lib/smpl/smpl_common.py:184
↓ 1 callersClassDyanmicQueryTransformer
Multi-view Pose Transformer Module with Dynamic Queries Args: cfg: the config file
lib/models/dq_transformer.py:120
↓ 1 callersClassEncoderDecorder
lib/mvn/models/v2v.py:69
↓ 1 callersClassFullPoseDiscriminator
lib/smpl/smpl_common.py:170
↓ 1 callersClassH36M
lib/dataset/h36m.py:71
↓ 1 callersClassL2Prior
lib/smpl/prior.py:106
↓ 1 callersClassMaxMixturePrior
lib/smpl/prior.py:114
↓ 1 callersClassMultiviewPosetransformer
Multi-view Pose Transformer Module Args: cfg: the config file
lib/models/multi_view_pose_transformer.py:109
↓ 1 callersClassMvPDecoder
lib/models/mvp_decoder.py:267
↓ 1 callersClassMvPDecoderLayer
lib/models/mvp_decoder.py:49
↓ 1 callersClassPerBoneL1Loss
lib/core/loss.py:146
↓ 1 callersClassPerJointL1Loss
lib/core/loss.py:81
↓ 1 callersClassPerProjectionL1Loss
lib/core/loss.py:197
↓ 1 callersClassPerProjectionL1Loss2D
lib/core/loss.py:245
↓ 1 callersClassPoseDiscriminator
lib/smpl/smpl_common.py:132
↓ 1 callersClassPoseResNet
lib/mvn/models/pose_resnet.py:184
↓ 1 callersClassPoseResNet
lib/models/pose_resnet.py:109
↓ 1 callersClassPositionEmbeddingLearned
Absolute pos embedding, learned.
lib/models/position_encoding.py:147
↓ 1 callersClassSMPL
Extension of the official SMPL implementation to support more joints
lib/smpl/smpl.py:74
↓ 1 callersClassSMPLifyAnglePrior
lib/smpl/prior.py:67
↓ 1 callersClassSetCriterion
The process happens in two steps: 1) we compute hungarian assignment between ground truth poses and the outputs of the model
lib/models/multi_view_pose_transformer.py:491
↓ 1 callersClassShapeDiscriminator
lib/smpl/smpl_common.py:118
↓ 1 callersClassV2VModel
lib/mvn/models/v2v.py:141
↓ 1 callersClassoffset_net
lib/models/dq_decoder.py:97
ClassAlgebraicTriangulationNet
lib/mvn/models/triangulation.py:131
ClassAverageMeter
Computes and stores the average and current value
lib/mvn/utils/misc.py:13
ClassBasicBlock
lib/mvn/models/pose_resnet.py:25
ClassBasicBlock
lib/models/pose_resnet.py:36
ClassBottleneck
lib/mvn/models/pose_resnet.py:57
ClassBottleneck
lib/models/pose_resnet.py:68
ClassBottleneck_CAFFE
lib/mvn/models/pose_resnet.py:98
ClassCampus
lib/dataset/campus.py:72
ClassCuboid3D
lib/mvn/utils/volumetric.py:44
ClassDeformFunction
lib/models/ops/functions/deform_func.py:34
ClassJointMapper
lib/smpl/smpl.py:107
ClassJointsDataset
lib/dataset/JointsDataset.py:34
ClassJointsMSELoss
lib/core/loss.py:33
ClassKeypointsL2Loss
lib/mvn/models/loss.py:42
ClassKeypointsMAELoss
lib/mvn/models/loss.py:31
ClassKeypointsMSELoss
lib/mvn/models/loss.py:7
ClassKeypointsMSESmoothLoss
lib/mvn/models/loss.py:17
ClassLinearModel
input param: fc_layers: a list of neuron count, such as [2133, 1024, 1024, 85] use_dropout: a list of bo
lib/smpl/smpl_common.py:20
ClassMetricLogger
lib/utils/misc.py:186
ClassMetricLogger
lib/models/util/misc.py:272
ClassNodeDistributedSampler
Sampler that restricts data loading to a subset of the dataset. It is especially useful in conjunction with :class:`torch.nn.parallel.Distribu
lib/dataset/samplers.py:89
ClassPanoptic
lib/dataset/panoptic.py:219
ClassPerJointAlignedL1Loss
lib/core/loss.py:119
ClassPerJointMSELoss
lib/core/loss.py:60
ClassPoint3D
lib/mvn/utils/volumetric.py:8
ClassPositionEmbeddingSine_Ray
This is a more standard version of the position embedding, very similar to the one used by the Attention is all you need paper, gener
lib/models/position_encoding.py:101
ClassRANSACTriangulationNet
lib/mvn/models/triangulation.py:17
ClassRenderer
lib/smpl/renderer.py:35
ClassShelf
lib/dataset/shelf.py:95
ClassVolumetricCELoss
lib/mvn/models/loss.py:52
ClassVolumetricTriangulationNet
lib/mvn/models/triangulation.py:203