MCPcopy Create free account

hub / github.com/MTG/DeepConvSep / functions

Functions289 in github.com/MTG/DeepConvSep

⨍ Functions 289◇ Types & classes 21
↓ 1 callersFunctionistft_norm
(X, window=sinebell(2048), analysisWindow=None, hopsize=512.0, nfft=2048.0)
examples/ikala/separate_ikala.py:78
↓ 1 callersFunctionistft_norm
(X, window=sinebell(2048), analysisWindow=None, hopsize=512.0, nfft=2048.0)
examples/dsd100/separate_dsd.py:78
↓ 1 callersFunctionistft_norm
(X, window=sinebell(2048), analysisWindow=None, hopsize=512.0, nfft=2048.0)
examples/bach10/separate_bach10.py:78
↓ 1 callersFunctionistft_norm
(X, window=sinebell(2048), analysisWindow=None, hopsize=512.0, nfft=2048.0)
examples/bach10_scoreinformed/separate_bach10.py:78
↓ 1 callersFunctionistft_norm
(X, window=sinebell(2048), analysisWindow=None, hopsize=512.0, nfft=2048.0)
examples/hiphopss/separate_hhds.py:78
↓ 1 callersMethodloadInputOutput
Loads the .data fft file from the hard drive
dataset_old.py:342
↓ 1 callersMethodloadInputOutput
Loads the .data fft file from the hard drive
dataset.py:369
↓ 1 callersMethodloadInputOutput
Loads the .data fft file from the hard drive
dataset.py:921
↓ 1 callersMethodloadPitch
(self,id)
dataset_old.py:337
↓ 1 callersMethodloadPitch
(self,id)
dataset.py:361
↓ 1 callersMethodloadPitch
(self,id)
dataset.py:913
↓ 1 callersMethodload_extra_features
(self,id)
dataset.py:366
↓ 1 callersMethodload_extra_features
(self,id)
dataset.py:918
↓ 1 callersFunctionload_model
(filename)
examples/ikala/separate_ikala.py:17
↓ 1 callersFunctionload_model
(filename)
examples/ikala/trainCNN.py:53
↓ 1 callersFunctionload_model
(filename)
examples/dsd100/separate_dsd.py:17
↓ 1 callersFunctionload_model
(filename)
examples/dsd100/trainCNN.py:53
↓ 1 callersFunctionload_model
(filename)
examples/bach10/separate_bach10.py:17
↓ 1 callersFunctionload_model
(filename)
examples/bach10/trainCNNbach10.py:53
↓ 1 callersFunctionload_model
(filename)
examples/bach10/trainCNNrwc.py:53
↓ 1 callersFunctionload_model
(filename)
examples/bach10/trainCNNSibelius.py:53
↓ 1 callersFunctionload_model
(filename)
examples/bach10_scoreinformed/separate_bach10.py:17
↓ 1 callersFunctionload_model
(filename)
examples/bach10_scoreinformed/trainCNNrwc_samp.py:53
↓ 1 callersFunctionload_model
(filename)
examples/hiphopss/separate_hhds.py:17
↓ 1 callersFunctionload_model
(filename)
examples/hiphopss/trainCNN.py:49
↓ 1 callersFunctionload_model
(filename)
examples/hiphopss/augmentations/trainCNN_cs_aug.py:49
↓ 1 callersFunctionload_model
(filename)
examples/hiphopss/augmentations/trainCNN_instr_aug.py:49
↓ 1 callersFunctionload_model
(filename)
examples/hiphopss/augmentations/trainCNN_mix_aug.py:49
↓ 1 callersFunctionmain
(argv)
examples/ikala/separate_ikala.py:259
↓ 1 callersFunctionmain
(argv)
examples/bach10/separate_bach10.py:309
↓ 1 callersFunctionmain
(argv)
examples/bach10_scoreinformed/separate_bach10.py:555
↓ 1 callersFunctionmain
(argv)
examples/hiphopss/separate_hhds.py:315
↓ 1 callersFunctionmidi2freq
(midi_number, tuning_freq=440., MIDI_A4=69.)
util.py:126
↓ 1 callersFunctionoverlapadd
(fbatch,obatch,nchunks,overlap=10)
examples/ikala/separate_ikala.py:138
↓ 1 callersFunctionoverlapadd_multi
(fbatch,obatch,nchunks,overlap=10)
examples/dsd100/separate_dsd.py:139
↓ 1 callersFunctionoverlapadd_multi
(fbatch,obatch,nchunks,overlap=10)
examples/bach10/separate_bach10.py:139
↓ 1 callersFunctionoverlapadd_multi
(fbatch,obatch,nchunks,overlap=10)
examples/bach10_scoreinformed/separate_bach10.py:139
↓ 1 callersFunctionoverlapadd_multi
(fbatch,obatch,nchunks,overlap=10)
examples/hiphopss/separate_hhds.py:138
↓ 1 callersFunctionparmap
Paralellize the function f with the list X, using a number of CPU of nprocs
dataset_old.py:47
↓ 1 callersFunctionparmap
Paralellize the function f with the list X, using a number of CPU of nprocs
dataset.py:47
↓ 1 callersFunctionparse_known_args
Parse known command-line arguments, overriding with keyword arguments. Returns ------- args : namespace The command-line argument
climate/flags.py:116
↓ 1 callersMethodreturns
This is a wrapper used by the callable \"iterate\" to return a batch between the indices idx0,idx1
dataset_old.py:197
↓ 1 callersMethodreturns
This is a wrapper used by the callable \"iterate\" to return a batch between the indices idx0,idx1
dataset.py:205
↓ 1 callersMethodsaveBatches
If set, save the batches to the \"scratch_path\"
dataset_old.py:502
↓ 1 callersMethodsaveBatches
If set, save the batches to the \"scratch_path\"
dataset.py:530
↓ 1 callersFunctionsave_model
(filename, model)
examples/ikala/trainCNN.py:59
↓ 1 callersFunctionsave_model
(filename, model)
examples/dsd100/trainCNN.py:59
↓ 1 callersFunctionsave_model
(filename, model)
examples/bach10/trainCNNbach10.py:59
↓ 1 callersFunctionsave_model
(filename, model)
examples/bach10/trainCNNrwc.py:59
↓ 1 callersFunctionsave_model
(filename, model)
examples/bach10/trainCNNSibelius.py:59
↓ 1 callersFunctionsave_model
(filename, model)
examples/bach10_scoreinformed/trainCNNrwc.py:59
↓ 1 callersFunctionsave_model
(filename, model)
examples/bach10_scoreinformed/trainCNNrwc_samp.py:59
↓ 1 callersFunctionsave_model
(filename, model)
examples/hiphopss/trainCNN.py:55
↓ 1 callersFunctionsave_model
(filename, model)
examples/hiphopss/augmentations/trainCNN_cs_aug.py:55
↓ 1 callersFunctionsave_model
(filename, model)
examples/hiphopss/augmentations/trainCNN_instr_aug.py:55
↓ 1 callersFunctionsave_model
(filename, model)
examples/hiphopss/augmentations/trainCNN_mix_aug.py:55
↓ 1 callersMethodsave_shape
Saves the shape of a numpy array
dataset_old.py:670
↓ 1 callersMethodsave_shape
Saves the shape of a numpy array
dataset.py:716
↓ 1 callersMethodsave_shape
Saves the shape of a numpy array
transform.py:180
↓ 1 callersFunctionstft_norm
X = stft_norm(data,window=sinebell(2048),hopsize=1024.0, nfft=2048.0,fs=44100) Computes the short time Fourier transform
transform.py:277
↓ 1 callersFunctionstft_norm
(data, window=sinebell(2048), hopsize=512.0, nfft=2048.0, fs=44100.0)
examples/ikala/separate_ikala.py:49
↓ 1 callersFunctionstft_norm
(data, window=sinebell(2048), hopsize=512.0, nfft=2048.0, fs=44100.0)
examples/dsd100/separate_dsd.py:49
↓ 1 callersFunctionstft_norm
(data, window=sinebell(2048), hopsize=512.0, nfft=2048.0, fs=44100.0)
examples/bach10/separate_bach10.py:49
↓ 1 callersFunctionstft_norm
(data, window=sinebell(2048), hopsize=512.0, nfft=2048.0, fs=44100.0)
examples/bach10_scoreinformed/separate_bach10.py:49
↓ 1 callersFunctionstft_norm
(data, window=sinebell(2048), hopsize=512.0, nfft=2048.0, fs=44100.0)
examples/hiphopss/separate_hhds.py:49
↓ 1 callersFunctionstr2midi
Given a note string name (e.g. "Bb4"), returns its MIDI pitch number.
examples/bach10_scoreinformed/separate_bach10.py:361
↓ 1 callersFunctiontrain_auto
(filein,outdir,model,scale_factor=0.3,time_context = 30,overlap = 20,batch_size=32,input_size=513)
examples/ikala/separate_ikala.py:194
↓ 1 callersFunctiontrain_auto
Trains a network built with \"fun\" with the data generated with \"train\" and then separates the files in \"testdir\",writing the result in
examples/ikala/trainCNN.py:121
↓ 1 callersFunctiontrain_auto
(filein,outdir,model,scale_factor=0.3,time_context = 30,overlap = 20,batch_size=32,input_size=513)
examples/dsd100/separate_dsd.py:239
↓ 1 callersFunctiontrain_auto
Trains a network built with \"fun\" with the data generated with \"train\" and then separates the files in \"testdir\",writing the result in
examples/dsd100/trainCNN.py:133
↓ 1 callersFunctiontrain_auto
(filein,outdir,model,scale_factor=0.3,time_context = 30,overlap = 20,batch_size=32,input_size=2049, frameSize=
examples/bach10/separate_bach10.py:232
↓ 1 callersFunctiontrain_auto
Trains a network built with \"fun\" with the data generated with \"train\" and then separates the files in \"testdir\",writing the result in
examples/bach10/trainCNNbach10.py:126
↓ 1 callersFunctiontrain_auto
Trains a network built with \"fun\" with the data generated with \"train\" and then separates the files in \"testdir\",writing the result in
examples/bach10/trainCNNrwc.py:126
↓ 1 callersFunctiontrain_auto
Trains a network built with \"fun\" with the data generated with \"train\" and then separates the files in \"testdir\",writing the result in
examples/bach10/trainCNNSibelius.py:126
↓ 1 callersFunctiontrain_auto
(filein,outdir,model,scale_factor=0.3,time_context = 30,overlap = 20,batch_size=32,input_size=2049, frameSize=
examples/bach10_scoreinformed/separate_bach10.py:450
↓ 1 callersFunctiontrain_auto
Trains a network built with \"fun\" with the data generated with \"train\" and then separates the files in \"testdir\",writing the result in
examples/bach10_scoreinformed/trainCNNrwc.py:196
↓ 1 callersFunctiontrain_auto
Trains a network built with \"fun\" with the data generated with \"train\" and then separates the files in \"testdir\",writing the result in
examples/bach10_scoreinformed/trainCNNrwc_samp.py:237
↓ 1 callersFunctiontrain_auto
Trains a network built with \"fun\" with the data generated with \"train\" and then separates the files in \"testdir\",writing the result in
examples/dsd100_2ch_ILD/trainCNN_ILD_DSD100.py:117
↓ 1 callersFunctiontrain_auto
Trains a network built with \"fun\" with the data generated with \"train\" and then separates the files in \"testdir\",writing the result in
examples/dsd100_2ch_ILD/trainCNN_ILD_DSD100_3stages.py:117
↓ 1 callersFunctiontrain_auto
(filein,outdir,model,scale_factor=0.3,time_context = 30,overlap = 20,batch_size=32,input_size=513)
examples/hiphopss/separate_hhds.py:238
↓ 1 callersFunctiontrain_auto
Trains a network built with \"fun\" with the data generated with \"train\" and then separates the files in \"testdir\",writing the result in
examples/hiphopss/trainCNN.py:129
↓ 1 callersFunctiontrain_auto
Trains a network built with \"fun\" with the data generated with \"train\" and then separates the files in \"testdir\",writing the result in
examples/hiphopss/augmentations/trainCNN_cs_aug.py:129
↓ 1 callersFunctiontrain_auto
Trains a network built with \"fun\" with the data generated with \"train\" and then separates the files in \"testdir\",writing the result in
examples/hiphopss/augmentations/trainCNN_instr_aug.py:129
↓ 1 callersFunctiontrain_auto
Trains a network built with \"fun\" with the data generated with \"train\" and then separates the files in \"testdir\",writing the result in
examples/hiphopss/augmentations/trainCNN_mix_aug.py:129
↓ 1 callersMethodupdatePath
Read the list of .data files in path, compute how many examples we can create from each file, and initialize the output variables
dataset_old.py:560
↓ 1 callersMethodupdatePath
Read the list of .data files in path, compute how many examples we can create from each file, and initialize the output variables
dataset.py:605
Method__call__
(self)
dataset_old.py:680
Method__call__
(self)
dataset.py:726
Method__call__
(self,x)
util.py:88
Method__call__
(self,x)
util.py:100
Method__call__
(self, combo)
examples/bach10/compute_features_bach10rwc.py:92
Method__call__
(self, combo)
examples/bach10_scoreinformed/compute_features_bach10rwc.py:96
Method__init__
(self, path_transform_in=None, path_transform_out=None, sampleRate=44100, exclude_list=[],nsamples=0, timbre_m
dataset_old.py:694
Method__init__
(self, path_transform_in=None, path_transform_out=None, sampleRate=44100, exclude_list=[],nsamples=0, timbre_m
dataset_old.py:774
Method__init__
(self, path, instid, allowed_styles=None, allowed_case=None, allowed_dynamics=None)
rwc.py:47
Method__init__
(self, path, wav_path, piece, code, fid, noteid)
rwc.py:131
Method__init__
(self, path_transform_in=None, path_transform_out=None, sampleRate=44100, exclude_list=[],nsamples=0, timbre_m
dataset.py:740
Method__init__
(self, path_transform_in=None, path_transform_out=None, sampleRate=44100, exclude_list=[],nsamples=0, timbre_m
dataset.py:820
Method__init__
(self, prefix_in="in",prefix_out="out", path_transform_in=None, path_transform_out=None, sampleRate=44100, exc
dataset.py:904
Method__init__
(self, prefix_in="in", prefix_out="out",path_transform_in=None, path_transform_out=None, sampleRate=44100, exc
dataset.py:1153
← previousnext →101–200 of 289, ranked by callers