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Functions912 in github.com/Xuehao-Gao/GUESS

Method__init__
(self, num_feat_in, latentD)
mld/models/architectures/vposert_vae.py:137
Method__init__
(self, input_size, hidden_size, hidden_layer,
mld/models/architectures/humanact12_gru.py:8
Method__init__
(self, nfeats: int, vae: bool, latent_dim: int = 256,
mld/models/architectures/actor_vae.py:86
Method__init__
(self, nfeats: int, latent_dim: int = 256, ff_size: int = 1
mld/models/architectures/actor_vae.py:180
Method__init__
(self, word_size, pos_size, hidden_size, output_size)
mld/models/architectures/t2m_textenc.py:7
Method__init__
(self, num_actions, latent_dim, guidance_scale=7.5,
mld/models/architectures/mld_denoiser.py:231
Method__init__
(self, modeltype, njoints, nfeats, num_frames, num_classes, translation, pose_rep, glob, glob_rot,
mld/models/architectures/fc.py:58
Method__init__
(self, dim, num_heads=8, qkv_bias=False, q
mld/models/architectures/vision_transformer.py:170
Method__init__
(self, dim, num_heads, mlp_ratio=4., qkv_b
mld/models/architectures/vision_transformer.py:330
Method__init__
(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768)
mld/models/architectures/vision_transformer.py:371
Method__init__
(self, backbone, img_size=224, feature_size=None,
mld/models/architectures/vision_transformer.py:400
Method__init__
(self, img_size=224, patch_size=16, in_chans=3,
mld/models/architectures/vision_transformer.py:434
Method__init__
Create a multi-headed attention layer. :param num_heads: the number of heads :param size: model size (must be divisible by nu
mld/models/architectures/tools/transformer_layers.py:19
Method__init__
Initializes position-wise feed-forward layer. :param input_size: dimensionality of the input. :param ff_size: dimensionality
mld/models/architectures/tools/transformer_layers.py:103
Method__init__
A single Transformer layer. :param size: :param ff_size: :param num_heads: :param dropout:
mld/models/architectures/tools/transformer_layers.py:175
Method__init__
Represents a single Transformer decoder layer. It attends to the source representation and the previous decoder states. :pa
mld/models/architectures/tools/transformer_layers.py:223
Method__init__
(self, norm_type, num_groups, num_features)
mld/models/architectures/tools/embeddings.py:43
Method__init__
Create new embeddings for the vocabulary. Use scaling for the Transformer. :param embedding_dim: :param scale:
mld/models/architectures/tools/embeddings.py:83
Method__init__
Create new embeddings for the vocabulary. Use scaling for the Transformer. :param embedding_dim: :param input_size:
mld/models/architectures/tools/embeddings.py:171
Method__init__
(self, channel: int, time_embed_dim: int, act_fn: str = "silu")
mld/models/architectures/tools/embeddings.py:289
Method__init__
(self, d_model, dropout=0.1, max_len=5000, batch_first=False)
mld/models/operator/position_encoding_layer.py:8
Method__init__
(self, cfg, out_dim, is_init)
mld/models/operator/blocks.py:9
Method__init__
(self, encoder_layer, num_layers, norm=None)
mld/models/operator/cross_attention.py:19
Method__init__
(self, decoder_layer, num_layers, norm=None)
mld/models/operator/cross_attention.py:67
Method__init__
(self, encoder_layer, num_layers, norm=None)
mld/models/operator/cross_attention.py:173
Method__init__
(self, decoder_layer, num_layers, norm=None, return_intermediate=False)
mld/models/operator/cross_attention.py:197
Method__init__
(self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation="relu", normalize_before
mld/models/operator/cross_attention.py:238
Method__init__
(self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation="relu", normalize_before
mld/models/operator/cross_attention.py:299
Method__init__
(self, num_features, eps=1e-5, momentum=0.1)
mld/models/operator/adain.py:6
Method__init__
(self, num_pos_feats=64, temperature=10000, normalize=False, scale=None)
mld/models/operator/position_encoding.py:45
Method__init__
(self, num_pos_feats=256)
mld/models/operator/position_encoding.py:87
Method__init__
(self, d_model, max_len=500, batch_first=False)
mld/models/operator/position_encoding.py:115
Method__init__
(self, d_model, max_len=500, batch_first=False)
mld/models/operator/position_encoding.py:140
Method__init__
(self, vae, mode, cfg)
mld/models/losses/temos.py:28
Method__init__
(self)
mld/models/losses/temos.py:188
Method__init__
(self, vae, mode, cfg)
mld/models/losses/actor.py:11
Method__init__
(self)
mld/models/losses/actor.py:110
Method__init__
(self)
mld/models/losses/kl.py:4
Method__init__
(self)
mld/models/losses/kl.py:15
Method__init__
(self, vae, mode, cfg)
mld/models/losses/mld.py:15
Method__init__
(self)
mld/models/losses/mld.py:195
Method__init__
(self, vae, mode, cfg)
mld/models/losses/tmost.py:26
Method__init__
(self)
mld/models/losses/tmost.py:202
Method__init__
(self, metric_monitor: dict, precision: int = 3)
mld/callback/progress.py:12
Method__iter__
(self)
mld/transforms/base.py:35
Method__len__
(self)
mld/data/a2m/dataset.py:315
Method__len__
(self)
mld/data/humanml/dataset.py:170
Method__len__
(self)
mld/data/humanml/utils/word_vectorizer.py:61
Method__len__
(self)
mld/data/humanml/data/dataset.py:156
Method__len__
(self)
mld/data/humanml/data/dataset.py:377
Method__len__
(self)
mld/data/humanml/data/dataset.py:555
Method__len__
(self)
mld/data/humanml/data/dataset.py:694
Method__len__
(self)
mld/data/humanml/data/dataset.py:755
Method__len__
(self)
mld/data/humanml/data/dataset.py:855
Method__len__
(self)
mld/data/humanml/data/dataset.py:931
Method__len__
(self)
mld/render/blender/meshes.py:64
Method__len__
(self)
mld/render/blender/joints.py:144
Method__len__
(self)
mld/render/blender/data.py:2
Method__len__
(self)
mld/transforms/identity.py:27
Method__len__
(self)
mld/transforms/smpl.py:54
Method__len__
(self)
mld/transforms/smpl.py:123
Method__len__
(self)
mld/transforms/xyz.py:65
Method__post_init__
(self)
mld/transforms/identity.py:24
Method__post_init__
(self)
mld/transforms/smpl.py:51
Method__post_init__
(self)
mld/transforms/smpl.py:71
Method__post_init__
(self)
mld/transforms/xyz.py:33
Method__post_init__
(self)
mld/models/modeltype/base.py:17
Method__repr__
(self)
mld/data/a2m/dataset.py:326
Method__repr__
(self)
mld/transforms/identity.py:14
Method__repr__
(self)
mld/transforms/smpl.py:28
Method__repr__
(self)
mld/transforms/smpl.py:40
Method__repr__
(self)
mld/transforms/xyz.py:20
Method__repr__
(self)
mld/models/architectures/tools/embeddings.py:155
Method__repr__
(self)
mld/models/architectures/tools/embeddings.py:238
Method__repr__
(self)
mld/models/operator/adain.py:45
Method__repr__
(self)
mld/models/operator/position_encoding.py:35
Method__repr__
(self)
mld/models/losses/temos.py:182
Method__repr__
(self)
mld/models/losses/temos.py:194
Method__repr__
(self)
mld/models/losses/actor.py:105
Method__repr__
(self)
mld/models/losses/actor.py:117
Method__repr__
(self)
mld/models/losses/kl.py:11
Method__repr__
(self)
mld/models/losses/kl.py:22
Method__repr__
(self)
mld/models/losses/mld.py:189
Method__repr__
(self)
mld/models/losses/mld.py:201
Method__repr__
(self)
mld/models/losses/tmost.py:197
Method__repr__
(self)
mld/models/losses/tmost.py:209
Method__setitem__
(self, key, value)
mld/transforms/base.py:29
Method__str__
(self)
mld/models/architectures/uestc_stgcn.py:248
Function_axis_angle_rotation
Return the rotation matrices for one of the rotations about an axis of which Euler angles describe, for each value of the angle given. A
mld/tools/geometry.py:137
Function_axis_angle_rotation
Return the rotation matrices for one of the rotations about an axis of which Euler angles describe, for each value of the angle given. A
mld/utils/rotation_conversions.py:122
Function_axis_angle_rotation
Return the rotation matrices for one of the rotations about an axis of which Euler angles describe, for each value of the angle given. A
mld/data/a2m/utils/rotation_conversions.py:122
Method_get_videopath
(self, action, view, subject, side)
mld/data/a2m/uestc.py:239
Method_init_weights
(self, m)
mld/models/architectures/vision_transformer.py:511
Method_load_joints3D
(self, ind, frame_ix)
mld/data/a2m/humanact12poses.py:41
Method_load_rotvec
(self, ind, frame_ix)
mld/data/a2m/humanact12poses.py:44
Functiona2m_collate
(batch)
mld/data/utils.py:77
Methoda2m_gt
(self, batch)
mld/models/modeltype/mld.py:944
Methodaccept
(self, duration)
mld/data/sampling/base.py:20
Methodaction_branch
(self, x, mask)
mld/models/architectures/mld_bert.py:142
Methodadd_text
(self, text)
mld/render/video.py:47
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