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Functions262 in github.com/SociallyIneptWeeb/AICoverGen

↓ 23 callersFunctionget_padding
(kernel_size, dilation=1)
src/infer_pack/commons.py:14
↓ 15 callersMethod__init__
( self, samp_rate, harmonic_num=0, sine_amp=0.1, noise_std=0.003,
src/infer_pack/models.py:297
↓ 15 callersMethodremove_weight_norm
(self)
src/infer_pack/models.py:274
↓ 12 callersMethod__init__
( self, samp_rate, harmonic_num=0, sine_amp=0.1, noise_std=0.003,
src/infer_pack/models_onnx_moess.py:295
↓ 12 callersMethod__init__
( self, samp_rate, harmonic_num=0, sine_amp=0.1, noise_std=0.003,
src/infer_pack/models_onnx.py:297
↓ 10 callersFunctiondisplay_progress
(message, percent, is_webui, progress=None)
src/main.py:159
↓ 9 callersMethod__init__
( self, n_blocks, n_gru, kernel_size, en_de_layers=5, inter_la
src/rmvpe.py:222
↓ 9 callersMethodremove_weight_norm
(self)
src/infer_pack/models_onnx_moess.py:272
↓ 8 callersMethod__init__
( self, hidden_channels, kernel_size, dilation_rate, n_layers,
src/infer_pack/modules.py:137
↓ 6 callersMethodremove_weight_norm
(self)
src/infer_pack/models_onnx.py:274
↓ 5 callersFunctionprintln
(strr)
src/trainset_preprocess_pipeline_print.py:28
↓ 5 callersFunctionraise_exception
(error_msg, is_webui)
src/main.py:81
↓ 4 callersMethodget_f0_crepe_computation
( self, x, f0_min, f0_max, p_len, hop_length=160, # 512 befor
src/vc_infer_pipeline.py:96
↓ 4 callersMethodget_f0_official_crepe_computation
( self, x, f0_min, f0_max, model="full", )
src/vc_infer_pipeline.py:139
↓ 4 callersMethodvc
( self, model, net_g, sid, audio0, pitch, pitchf,
src/vc_infer_pipeline.py:372
↓ 3 callersMethod__init__
( self, in_channels, out_channels, filter_channels, kernel_size,
src/infer_pack/attentions.py:363
↓ 3 callersMethodprocess_wave
Process the wave array in a multi-threaded environment Args: wave: (np.array) Wave array to be processed mt_
src/mdx.py:201
↓ 3 callersFunctionrun_mdx
(model_params, output_dir, model_path, filename, exclude_main=False, exclude_inversion=False, suffix=None, inv
src/mdx.py:238
↓ 2 callersMethod_get_relative_embeddings
(self, relative_embeddings, length)
src/infer_pack/attentions.py:295
↓ 2 callersFunctioncache_harvest_f0
(input_audio_path, fs, f0max, f0min, frame_period)
src/vc_infer_pipeline.py:28
↓ 2 callersFunctionconvert_pad_shape
(pad_shape)
src/infer_pack/commons.py:18
↓ 2 callersFunctiondl_model
(link, model_name, dir_name)
src/download_models.py:12
↓ 2 callersFunctionextract_zip
(extraction_folder, zip_name)
src/webui.py:41
↓ 2 callersFunctionget_current_models
(models_dir)
src/webui.py:19
↓ 2 callersFunctionget_timing_signal_1d
(length, channels, min_timescale=1.0, max_timescale=1.0e4)
src/infer_pack/commons.py:72
↓ 2 callersMethodinfer
(self, phone, phone_lengths, pitch, nsff0, sid, max_len=None)
src/infer_pack/models.py:634
↓ 2 callersFunctionload_audio
(file, sr)
src/my_utils.py:5
↓ 2 callersMethodnorm_write
(self, tmp_audio, idx0, idx1)
src/trainset_preprocess_pipeline_print.py:60
↓ 2 callersFunctionpitch_shift
(audio_path, pitch_change)
src/main.py:138
↓ 2 callersMethodpredict
Runs a single prediction on the model. Required Parameters: song_input (CogPath): Upload your audio file here.
predict.py:53
↓ 2 callersFunctionpreprocess_song
(song_input, mdx_model_params, song_id, is_webui, input_type, progress=None)
src/main.py:166
↓ 2 callersFunctionsearchsorted
(bin_locations, inputs, eps=1e-6)
src/infer_pack/transforms.py:45
↓ 2 callersMethodsegment
Segment or join segmented wave array Args: wave: (np.array) Wave array to be segmented or joined combine: (b
src/mdx.py:93
↓ 2 callersMethodstft
(self, x)
src/mdx.py:37
↓ 1 callersMethod_absolute_position_to_relative_position
x: [b, h, l, l] ret: [b, h, l, 2*l-1]
src/infer_pack/attentions.py:334
↓ 1 callersMethod_attention_bias_proximal
Bias for self-attention to encourage attention to close positions. Args: length: an integer scalar. Returns: a Ten
src/infer_pack/attentions.py:350
↓ 1 callersMethod_f02uv
(self, f0)
src/infer_pack/models_onnx_moess.py:312
↓ 1 callersMethod_f02uv
(self, f0)
src/infer_pack/models.py:314
↓ 1 callersMethod_f02uv
(self, f0)
src/infer_pack/models_onnx.py:314
↓ 1 callersMethod_matmul_with_relative_keys
x: [b, h, l, d] y: [h or 1, m, d] ret: [b, h, l, m]
src/infer_pack/attentions.py:286
↓ 1 callersMethod_matmul_with_relative_values
x: [b, h, l, m] y: [h or 1, m, d] ret: [b, h, l, d]
src/infer_pack/attentions.py:277
↓ 1 callersMethod_relative_position_to_absolute_position
x: [b, h, l, 2*l-1] ret: [b, h, l, l]
src/infer_pack/attentions.py:313
↓ 1 callersFunctionadd_audio_effects
(audio_path, reverb_rm_size, reverb_wet, reverb_dry, reverb_damping)
src/main.py:206
↓ 1 callersMethodattention
(self, query, key, value, mask=None)
src/infer_pack/attentions.py:226
↓ 1 callersFunctionchange_rms
(data1, sr1, data2, sr2, rate)
src/vc_infer_pipeline.py:41
↓ 1 callersFunctioncombine_audio
(audio_paths, output_path, main_gain, backup_gain, inst_gain, output_format)
src/main.py:229
↓ 1 callersFunctionconvert_to_stereo
(audio_path)
src/main.py:125
↓ 1 callersMethoddecode
(self, hidden, thred=0.03)
src/rmvpe.py:359
↓ 1 callersMethoddevice_config
(self)
src/rvc.py:29
↓ 1 callersFunctiondownload_online_model
(url, dir_name)
predict.py:17
↓ 1 callersFunctionget_audio_paths
(song_dir)
src/main.py:105
↓ 1 callersMethodget_f0
( self, input_audio_path, x, p_len, f0_up_key, f0_method,
src/vc_infer_pipeline.py:262
↓ 1 callersMethodget_f0_hybrid_computation
( self, methods_str, input_audio_path, x, f0_min, f0_max,
src/vc_infer_pipeline.py:175
↓ 1 callersFunctionget_hash
(filepath)
src/main.py:150
↓ 1 callersMethodget_hash
(model_path)
src/mdx.py:82
↓ 1 callersMethodget_optimal_torch_device
(self, index: int = 0)
src/vc_infer_pipeline.py:83
↓ 1 callersFunctionget_rvc_model
(voice_model, is_webui)
src/main.py:88
↓ 1 callersFunctionget_vc
(device, is_half, config, model_path)
src/rvc.py:112
↓ 1 callersFunctionget_youtube_video_id
Examples: http://youtu.be/SA2iWivDJiE http://www.youtube.com/watch?v=_oPAwA_Udwc&feature=feedu http://www.youtube.com/embed/SA2iWivDJ
src/main.py:31
↓ 1 callersMethodinfer_from_audio
(self, audio, thred=0.03)
src/rmvpe.py:366
↓ 1 callersMethodistft
(self, x, freq_pad=None)
src/mdx.py:45
↓ 1 callersFunctionload_hubert
(device, is_half, model_path)
src/rvc.py:98
↓ 1 callersMethodmel2hidden
(self, mel)
src/rmvpe.py:350
↓ 1 callersMethodpad_wave
Pad the wave array to match the required chunk size Args: wave: (np.array) Wave array to be padded Returns:
src/mdx.py:143
↓ 1 callersFunctionpiecewise_rational_quadratic_transform
( inputs, unnormalized_widths, unnormalized_heights, unnormalized_derivatives, inverse=Fal
src/infer_pack/transforms.py:12
↓ 1 callersMethodpipeline
( self, model, net_g, sid, audio, input_audio_path, ti
src/vc_infer_pipeline.py:474
↓ 1 callersMethodpipeline
(self, path, idx0)
src/trainset_preprocess_pipeline_print.py:82
↓ 1 callersMethodpipeline_mp
(self, infos, thread_n)
src/trainset_preprocess_pipeline_print.py:108
↓ 1 callersMethodpipeline_mp_inp_dir
(self, inp_root, n_p)
src/trainset_preprocess_pipeline_print.py:114
↓ 1 callersFunctionpreprocess_trainset
(inp_root, sr, n_p, exp_dir)
src/trainset_preprocess_pipeline_print.py:137
↓ 1 callersFunctionrand_gumbel
Sample from the Gumbel distribution, protect from overflows.
src/infer_pack/commons.py:33
↓ 1 callersFunctionrational_quadratic_spline
( inputs, unnormalized_widths, unnormalized_heights, unnormalized_derivatives, inverse=Fal
src/infer_pack/transforms.py:100
↓ 1 callersMethodremove_weight_norm
(self)
src/infer_pack/modules.py:215
↓ 1 callersFunctionrvc_infer
(index_path, index_rate, input_path, output_path, pitch_change, f0_method, cpt, version, net_g, filter_radius,
src/rvc.py:146
↓ 1 callersFunctionsequence_mask
(length, max_length=None)
src/infer_pack/commons.py:126
↓ 1 callersFunctionslice_segments
(x, ids_str, segment_size=4)
src/infer_pack/commons.py:44
↓ 1 callersFunctionsong_cover_pipeline
(song_input, voice_model, pitch_change, keep_files, is_webui=0, main_gain=0, backup_ga
src/main.py:236
↓ 1 callersMethodto_local_average_cents
(self, salience, thred=0.05)
src/rmvpe.py:385
↓ 1 callersFunctionvoice_change
(voice_model, vocals_path, output_path, pitch_change, f0_method, index_rate, filter_radius, rms_mix_rate, prot
src/main.py:193
↓ 1 callersFunctionyt_download
(link)
src/main.py:63
Method__init__
(self, tgt_sr, config)
src/vc_infer_pipeline.py:64
Method__init__
(self, sr, exp_dir)
src/trainset_preprocess_pipeline_print.py:37
Method__init__
(self, input_features, hidden_features, num_layers)
src/rmvpe.py:9
Method__init__
(self, in_channels, out_channels, momentum=0.01)
src/rmvpe.py:24
Method__init__
( self, in_channels, in_size, n_encoders, kernel_size, n_block
src/rmvpe.py:62
Method__init__
( self, in_channels, out_channels, kernel_size, n_blocks=1, momentum=0.01 )
src/rmvpe.py:100
Method__init__
(self, in_channels, out_channels, n_inters, n_blocks, momentum=0.01)
src/rmvpe.py:123
Method__init__
(self, in_channels, out_channels, stride, n_blocks=1, momentum=0.01)
src/rmvpe.py:142
Method__init__
(self, in_channels, n_decoders, stride, n_blocks, momentum=0.01)
src/rmvpe.py:173
Method__init__
( self, kernel_size, n_blocks, en_de_layers=5, inter_layers=4,
src/rmvpe.py:191
Method__init__
( self, is_half, n_mel_channels, sampling_rate, win_length, ho
src/rmvpe.py:262
Method__init__
(self, model_path, is_half, device=None)
src/rmvpe.py:329
Method__init__
(self, device, is_half)
src/rvc.py:21
Method__init__
(self, device, dim_f, dim_t, n_fft, hop=1024, stem_name=None, compensation=1.000)
src/mdx.py:20
Method__init__
(self, model_path: str, params: MDXModel, processor=DEFAULT_PROCESSOR)
src/mdx.py:65
Method__init__
( self, out_channels, hidden_channels, filter_channels, n_heads,
src/infer_pack/models_onnx_moess.py:18
Method__init__
( self, out_channels, hidden_channels, filter_channels, n_heads,
src/infer_pack/models_onnx_moess.py:65
Method__init__
( self, channels, hidden_channels, kernel_size, dilation_rate,
src/infer_pack/models_onnx_moess.py:110
Method__init__
( self, in_channels, out_channels, hidden_channels, kernel_size,
src/infer_pack/models_onnx_moess.py:159
Method__init__
( self, initial_channel, resblock, resblock_kernel_sizes, resblock_dil
src/infer_pack/models_onnx_moess.py:204
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