Functions — github.com/OpenMOSS/FRoM-W1

CodeHub MCPcopy Create free account

hub / github.com/OpenMOSS/FRoM-W1 / functions

Functions453 in github.com/OpenMOSS/FRoM-W1

⨍ Functions 453◇ Types & classes 54

↓ 1 callersFunctionreparameterize

H-GPT/hGPT/models/evaluator.py:153

↓ 1 callersMethodreset_codebook

H-GPT/hGPT/models/archs/utils/quantize_cnn.py:15

↓ 1 callersMethodreset_codebook

H-GPT/hGPT/models/archs/utils/quantize_cnn.py:219

↓ 1 callersMethodreset_codebook

H-GPT/hGPT/models/archs/utils/quantize_cnn.py:332

↓ 1 callersFunctionresume_config

Resume model and wandb

H-GPT/hGPT/config.py:42

↓ 1 callersFunctionrotation_6d_to_matrix

Converts 6D rotation representation by Zhou et al. [1] to rotation matrix using Gram--Schmidt orthogonalisation per Section B of [1]. Arg

H-GPT/hGPT/utils/geometry_tools.py:526

↓ 1 callersFunctionrotation_matrix_to_quaternion

This function is borrowed from https://github.com/kornia/kornia Convert 3x4 rotation matrix to 4d quaternion vector This algorithm is b

H-GPT/hGPT/utils/geometry_conver.py:305

↓ 1 callersMethodsave_cache

(self, cache_path)

H-GPT/hGPT/data/motionx/dataset.py:163

↓ 1 callersMethodsave_npy

(self, outputs)

H-GPT/hGPT/models/base.py:160

↓ 1 callersMethodset_offset

(self, offsets)

H-GPT/hGPT/data/motionx/common/skeleton.py:68

↓ 1 callersFunctionstandardize_quaternion

Convert a unit quaternion to a standard form: one in which the real part is non negative. Args: quaternions: Quaternions with re

H-GPT/hGPT/utils/geometry_tools.py:339

↓ 1 callersFunctionstandardize_quaternion

Convert a unit quaternion to a standard form: one in which the real part is non negative. Args: quaternions: Quaternions with re

H-GPT/hGPT/utils/rotation_conversions.py:324

↓ 1 callersFunctionsubsample

(num_frames, last_framerate, new_framerate)

H-GPT/hGPT/utils/temos_utils.py:102

↓ 1 callersFunctionto_matrix

(oldtype, rotations)

H-GPT/hGPT/utils/easyconvert.py:69

↓ 1 callersMethodtrain_lm_forward

H-GPT/hGPT/models/hgpt.py:58

↓ 1 callersMethodtrain_vae_forward

H-GPT/hGPT/models/hgpt.py:141

↓ 1 callersFunctionuniform_skeleton

Uniformly scales a skeleton to match a target offset. Args: positions (numpy.ndarray): Input skeleton joint positions. targe

H-GPT/hGPT/data/motionx/scripts/motion_process.py:77

↓ 1 callersFunctionunit_test

H-GPT/hGPT/data/default/dataset_t2m_train.py:538

↓ 1 callersFunctionunit_test

H-GPT/hGPT/data/default/dataset_t2m_eval.py:455

↓ 1 callersFunctionunit_test

H-GPT/hGPT/data/default/dataset_t2m_token.py:320

↓ 1 callersFunctionunit_test

H-GPT/hGPT/data/default/dataset_t2m_vqvae.py:88

↓ 1 callersFunctionunit_test

H-GPT/hGPT/data/default/dataset_t2m_base.py:524

↓ 1 callersFunctionupdate

H-GPT/hGPT/data/motionx/visualization/plot_feature_body.py:144

↓ 1 callersFunctionupdate

H-GPT/hGPT/data/motionx/visualization/plot_feature_body_hands.py:145

↓ 1 callersMethodupdate_codebook

(self, x, code_idx)

H-GPT/hGPT/models/archs/utils/quantize_cnn.py:56

↓ 1 callersMethodupdate_codebook

(self, x, code_idx)

H-GPT/hGPT/models/archs/utils/quantize_cnn.py:253

↓ 1 callersMethodupdate_codebook

(self, x, code_idx)

H-GPT/hGPT/models/archs/utils/quantize_cnn.py:372

↓ 1 callersFunctionupsample

(motion, last_framerate, new_framerate)

H-GPT/hGPT/utils/temos_utils.py:110

↓ 1 callersMethodval_vae_forward

(self, batch, split="train")

H-GPT/hGPT/models/hgpt.py:162

Method__getitem__

H-GPT/hGPT/data/motionx/dataset.py:138

Method__getitem__

H-GPT/hGPT/data/default/dataset_t2m_train.py:189

Method__getitem__

H-GPT/hGPT/data/default/dataset_t2m_train.py:476

Method__getitem__

H-GPT/hGPT/data/default/dataset_t2m_eval.py:70

Method__getitem__

H-GPT/hGPT/data/default/dataset_t2m_token.py:114

Method__getitem__

H-GPT/hGPT/data/default/dataset_t2m_token.py:290

Method__getitem__

H-GPT/hGPT/data/default/dataset_t2m_vqvae.py:58

Method__getitem__

H-GPT/hGPT/data/default/dataset_t2m_base.py:196

Method__getitem__

H-GPT/hGPT/data/default/dataset_t2m_base.py:474

Method__getitem__

H-GPT/hGPT/data/default/word_vectorizer.py:154

H-GPT/hGPT/callback.py:7

( self, logger, metric_monitor: dict, precision: int = 3, log_every_n_

H-GPT/hGPT/callback.py:20

( self, cfg, dataname, top_k=3, R_size=32, diversity_times=300

H-GPT/hGPT/metrics/t2m.py:17

( self, cfg, njoints: int = 22, force_in_meter: bool = True, align_roo

H-GPT/hGPT/metrics/m2m.py:12

( self, cfg, dataname, mm_num_times=10, dist_sync_on_step=True, **kwargs )

H-GPT/hGPT/metrics/mm.py:17

(self, cfg, datamodule, debug, **kwargs)

H-GPT/hGPT/metrics/base.py:12

( self, cfg, w_vectorizer, dataname, top_k, bleu_k, R_

H-GPT/hGPT/metrics/m2t.py:14

( self, njoints, force_in_meter: bool = True, align_root: bool = True,

H-GPT/hGPT/metrics/mr.py:10

(self, collate_fn)

H-GPT/hGPT/data/base.py:23

(self, cfg, **kwargs)

H-GPT/hGPT/data/MotionX.py:90

( self, root_path, debug, load_cache=False, save_cache=False,

H-GPT/hGPT/data/motionx/dataset.py:95

(self, offset, kinematic_tree, device)

H-GPT/hGPT/data/motionx/common/skeleton.py:49

H-GPT/hGPT/data/motionx/smplx2smpl/smplx2joints.py:55

( self, motion_token_path, text_path, cot_path, split_path, sp

H-GPT/hGPT/data/default/dataset_t2m_train.py:21

( self, motion_token_path, text_path, cot_path, split_path, sp

H-GPT/hGPT/data/default/dataset_t2m_train.py:252

( self, motion_feat_path, text_path, cot_path, split_path, spl

H-GPT/hGPT/data/default/dataset_t2m_eval.py:24

( self, motion_feat_path, text_path, cot_path, split_path, spl

H-GPT/hGPT/data/default/dataset_t2m_token.py:24

( self, motion_feat_path, text_path, cot_path, split_path, spl

H-GPT/hGPT/data/default/dataset_t2m_token.py:145

( self, motion_feat_path, text_path, cot_path, split_path, spl

H-GPT/hGPT/data/default/dataset_t2m_vqvae.py:11

( self, motion_feat_path, text_path, cot_path, split_path, spl

H-GPT/hGPT/data/default/dataset_t2m_base.py:19

( self, motion_feat_path, text_path, cot_path, split_path, spl

H-GPT/hGPT/data/default/dataset_t2m_base.py:248

(self, meta_root, prefix)

H-GPT/hGPT/data/default/word_vectorizer.py:130

( self, cfg, datamodule, lm, motion_vae, codebook_size,

H-GPT/hGPT/models/hgpt.py:15

H-GPT/hGPT/models/evaluator.py:13

( self, n_in, n_state, dilation=1, activation="silu", norm=None, dropout=None )

H-GPT/hGPT/models/evaluator.py:22

(self, margin=3.0)

H-GPT/hGPT/models/evaluator.py:127

(self, d_model, max_len=300)

H-GPT/hGPT/models/evaluator.py:185

(self, input_size, hidden_size, output_size)

H-GPT/hGPT/models/evaluator.py:203

( self, input_emb_width=3, output_emb_width=512, down_t=3, stride_t=2,

H-GPT/hGPT/models/evaluator.py:226

(self, input_size, hidden_size, output_size)

H-GPT/hGPT/models/evaluator.py:266

(self, text_size, input_size, output_size, hidden_size, n_layers)

H-GPT/hGPT/models/evaluator.py:288

(self, text_size, input_size, output_size, hidden_size, n_layers)

H-GPT/hGPT/models/evaluator.py:354

(self, query_dim, key_dim, value_dim)

H-GPT/hGPT/models/evaluator.py:403

(self, word_size, pos_size, hidden_size)

H-GPT/hGPT/models/evaluator.py:438

(self, word_size, pos_size, hidden_size, output_size)

H-GPT/hGPT/models/evaluator.py:487

(self, input_size, hidden_size, output_size)

H-GPT/hGPT/models/evaluator.py:537

(self, word_size, pos_size, hidden_size, output_size)

H-GPT/hGPT/models/evaluator.py:581

(self, cfg, *args, **kwargs)

H-GPT/hGPT/models/base.py:16

( self, model_path: str, model_type: str, stage: str, new_token_type:

H-GPT/hGPT/models/archs/hgpt_lm.py:33

( self, input_emb_width=3, output_emb_width=512, down_t=3, stride_t=2,

H-GPT/hGPT/models/archs/hgpt_vq.py:121

( self, input_emb_width=3, output_emb_width=512, down_t=3, stride_t=2,

H-GPT/hGPT/models/archs/hgpt_vq.py:158

( self, old_embeddings: nn.Embedding, new_num_tokens: int = None )

H-GPT/hGPT/models/archs/utils/token_emb.py:9

(self, nb_code, code_dim, mu)

H-GPT/hGPT/models/archs/utils/quantize_cnn.py:8

(self, nb_code, code_dim)

H-GPT/hGPT/models/archs/utils/quantize_cnn.py:212

(self, nb_code, code_dim, mu)

H-GPT/hGPT/models/archs/utils/quantize_cnn.py:325

H-GPT/hGPT/models/archs/utils/resnet.py:6

( self, n_in, n_state, dilation=1, activation="silu", norm=None, dropout=None )

H-GPT/hGPT/models/archs/utils/resnet.py:15

(self, **kwargs)

H-GPT/hGPT/losses/hgpt.py:12

(self, cfg, losses, params, losses_func, num_joints, **kwargs)

H-GPT/hGPT/losses/base.py:6

H-GPT/hGPT/data/motionx/dataset.py:134

H-GPT/hGPT/data/default/dataset_t2m_train.py:186

H-GPT/hGPT/data/default/dataset_t2m_train.py:473

H-GPT/hGPT/data/default/dataset_t2m_token.py:111

H-GPT/hGPT/data/default/dataset_t2m_token.py:287

H-GPT/hGPT/data/default/dataset_t2m_vqvae.py:55

H-GPT/hGPT/data/default/dataset_t2m_base.py:193

H-GPT/hGPT/data/default/dataset_t2m_base.py:471

H-GPT/hGPT/data/default/word_vectorizer.py:151

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

H-GPT/hGPT/utils/geometry_tools.py:136

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

H-GPT/hGPT/utils/rotation_conversions.py:121

Method_load_single_data

加载单个数据样本

H-GPT/hGPT/data/default/dataset_t2m_train.py:315

← previous next →201–300 of 453, ranked by callers