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Functions56 in github.com/computer-animation-perception-group/DeepDance

⨍ Functions 56◇ Types & classes 4
↓ 17 callersFunctionconvolution
(value, output_num, kernel_size=[3, 3], strides=[1, 1], name='conv', padding='SAME', activate_
inlib/models.py:6
↓ 15 callersFunctiondata_type
()
model/base_model.py:5
↓ 8 callersFunctionsave_data_info_2
(data, save_dir)
utils/reader.py:269
↓ 4 callersMethod_mus_conv
(inputs, kernel_shape, bias_shape, is_training)
model/base_model.py:166
↓ 4 callersFunctioncalerf
m2m_evaluation/matlab-file/mocap/NDLUTIL-161/lnDiffErfs.c:19
↓ 4 callersFunctionpool2D
(value, k_h=3, k_w=3, strides=[1, 2, 2, 1], name='max_pool', padding='VALID')
inlib/ops.py:33
↓ 4 callersFunctionxelu
(value, name='relu', activate_type='relu', para=0.2)
inlib/ops.py:21
↓ 3 callersFunctionbias
(dim, bias_start=0.0, name='bias', trainable=True)
inlib/ops.py:13
↓ 3 callersFunctionget_useful_dim
(input_data, ignore_dims)
utils/reader.py:272
↓ 3 callersFunctionload_data
(data_dir, json_path, mot_scale)
utils/reader.py:18
↓ 3 callersFunctionnorm_mot
(seq_data, data_max, data_min, ignore_dims)
utils/reader.py:349
↓ 3 callersFunctionnorm_mot_std
(input_tensor, data_mean, data_std, ignore_dims, eps=1e-12)
utils/reader.py:367
↓ 3 callersFunctionweight
(shape, stddev=0.02, name='weight', trainable=True)
inlib/ops.py:6
↓ 2 callersMethod_build_mus_conv_graph
Build music graph
model/base_model.py:183
↓ 2 callersMethod_get_lstm_cell
(rnn_layer_idx, hidden_size, config, is_training)
model/base_model.py:68
↓ 2 callersFunctionfc
(value, output_num, name='fc', with_weight=False, with_bias=True)
inlib/ops.py:61
↓ 2 callersFunctionnorm_mus
(seq_data, data_max, data_min, mus_dim)
utils/reader.py:380
↓ 1 callersMethod_build_mot_rnn_graph
(self, mus_inputs, config, train_type)
model/base_model.py:78
↓ 1 callersMethod_build_mus_graph
(self, time_step, mus_cell, mus_state, inputs, config, is_training)
model/base_model.py:48
↓ 1 callersFunctionadd_ignore_dims
(input_data, ignore_dims)
utils/reader.py:303
↓ 1 callersFunctionbn
(x, is_training, scope='bn')
inlib/ops.py:112
↓ 1 callersFunctionconv2d
(value, output_num, k_h=3, k_w=3, strides=[1, 1, 1, 1], name='conv', padding='SAME', with_weight=False,
inlib/ops.py:95
↓ 1 callersFunctiongenerate_motion
Run the model on the given data
generate_dance.py:14
↓ 1 callersFunctionget_seq_tensor
(mus_seq, mus_data_max, mus_data_min, mot_seq, mot_data_max, mot_data_min, mot_data_mean, m
utils/reader.py:215
↓ 1 callersFunctionnormalize_info
:param input_data: :param full_skel: :param eps: 1e-4 default :return: data_mean, data_std, ignore_dimensions, new_idx
utils/reader.py:466
↓ 1 callersFunctionrun_main
(config, data_info)
generate_dance.py:85
↓ 1 callersFunctionsave_to_csv
(data, filename)
music_feature_extract.py:8
↓ 1 callersFunctionunnorm_data
(norm_data, data_mean, data_std, ignore_dims)
utils/reader.py:282
↓ 1 callersFunctionunnorm_mot
(norm_tensor, data_max, data_min, ignore_dims)
utils/reader.py:423
↓ 1 callersFunctionunnorm_mus
(norm_tensor, data_max, data_min, mus_dim)
utils/reader.py:403
Method__init__
(self, seg_len)
m2m_config.py:8
Method__init__
(self, root=False)
bvh.py:2
Method__init__
(self, train_type, config)
model/base_model.py:11
Method__init__
(self, model_path)
inlib/models.py:17
Functionadd_noise
:param x: :param noise: np.random.normal, mean = 0, sigma = noise :return:
utils/reader.py:448
Functioncapg_seq_generator
(epoch, train_type, data_info, config)
utils/reader.py:557
Functioncnn
(x, conv_list, fc_list, name='cnn', is_training=True, reuse=False)
inlib/models.py:86
Functionconv1d
(value, output_num, ksize=3, strides=[1, 1, 1], name='conv', padding='SAME', with_weight=False, wit
inlib/ops.py:78
Functionget_config
(seg_len)
m2m_config.py:70
Methodget_feature
(self, x, reuse=False)
inlib/models.py:21
Functionget_init_frame
(mot_data, batch_size, num_steps)
utils/reader.py:252
Functionget_normalize_info
(input_data)
utils/reader.py:12
Functionload_trip_data
(data_dir, train_json_path, val_json_path, val_rate)
utils/reader.py:83
Functionload_tv_data
(data_dir, train_json_path, val_json_path, num_steps=150)
utils/reader.py:38
Methodload_weights
(self, sess)
inlib/models.py:61
Functionmain
(_)
generate_dance.py:119
FunctionmexFunction
m2m_evaluation/matlab-file/mocap/NDLUTIL-161/lnDiffErfs.c:252
Functionmlp
(x, dim_list, name='mlp', reuse=False)
inlib/models.py:72
Functionpool1D
(value, ksize=3, strides=[1, 2, 1], name='max_pool', padding='VALID')
inlib/ops.py:47
Functionrun_all_inference
(config)
utils/reader.py:497
Functionsample_seq
(mus_seq, mus_data_max, mus_data_min, mot_seq, mot_data_max, mot_data_min, mot_data_mean, mot_d
utils/reader.py:125
Functionsample_seq_idx
(mus_seq, mot_seq, config)
utils/reader.py:184
Methodsave_config
(self, path)
m2m_config.py:61
Functionsave_data_info
(data_mean, data_std, save_dir)
utils/reader.py:262
Functionsave_mus_data
(input_data, data_info, mus_dim, save_path)
utils/reader.py:341
Functionsave_predict_data
(input_data, save_path, data_info, norm_way, ignore_dims, mot_scale=1.0)
utils/reader.py:318