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doit_all.py
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doit_all.py
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'''
Created on Feb 16, 2017
@author: joro
'''
from demo import doit, create_output_dirs
import collections
import sys
import os
from pypYIN.MonoNoteParameters import STEPS_PER_SEMITONE, NUM_SEMITONES,\
WITH_NOTES_STATES, WITH_MAKAM
import pypYIN
# symbTr name is hard coded, because the function to get returns sometimes inproper naming....
# sorted by bar-state space size in increasing order
list_MBID = {}
if WITH_MAKAM:
# aksak
# list_MBID['f5a89c06-d9bc-4425-a8e6-0f44f7c108ef'] = ('nihavent--sarki--aksak--bakmiyor_cesm-i--haci_arif_bey',188)
# list_MBID['9c26ff74-8541-4282-8a6e-5ba9aa5cc8a1'] = ('ussak--sarki--aksak--bu_aksam_gun--tatyos_efendi',240)
# list_MBID['7c338e4a-58f5-4c5e-853e-8d7975df5bbc'] = ('muhayyer--sarki--aksak--iltimas_etmeye--haci_arif_bey',129)
# list_MBID['9f172b31-69b9-4cea-bfb0-6b7aaaaadf1c'] = ('hicaz--sarki--aksak--ben_gamli_hazan--melahat_pars',123)
# duyek
list_MBID['a2e650dc-8822-4647-9f4c-c41c0f81b601'] = ('neva--sarki--duyek--ben_yururum--selahaddin_pinar',145)
# list_MBID['c7a31756-a7d5-4882-bdf7-9c6b23493597'] = ('rast--sarki--duyek--hicran_olacaksa--ferit_sidal', 141) # no annotation
list_MBID['cd87a0cc-5f54-4b30-ac1c-01c3cbc423ee'] = ('ussak--sarki--duyek--her_mevsim--semahat_ozdenses',125)
list_MBID['b244d4e3-2cfb-4475-98d3-73e2d96271f7'] = ('muhayyerkurdi--sarki--duyek--var_mi_hacet--nikogos_aga',116)
# curcuna
# list_MBID['feda89e3-a50d-4ff8-87d4-c1e531cc1233'] = ('nihavent--sarki--kapali_curcuna--kimseye_etmem--kemani_sarkis_efendi',203)
# list_MBID['5bcc3b05-e744-410d-b1c9-554d60bc04af'] = ('hicazkar--sarki--kapali_curcuna--mani_oluyor--tatyos_efendi',210)
# list_MBID['7115dba2-8a0f-4f50-b1e1-f1cca26535b0'] = ('huseyni--sarki--curcuna--cektim_elimi--tatyos_efendi',240)
# list_MBID['7aec9833-6482-4917-87bd-e60c7c1dae3c'] = ('rast--sarki--kapali_curcuna--nedendir_bu--sevki_bey',188)
# list_MBID['5a3266e9-7b7a-4a99-ab75-872910c80bdd'] = ('hisarbuselik--sarki--aksak--aman_ey--ii_mahmud', 116) # needs 47 Giga, not done
### those are excluded as very long audio, so my 8-GB RAM cannot handle them
# list_MBID['92ef6776-09fa-41be-8661-025f9b33be4f'] = ('ussak--sarki--duyek--aksam_oldu_huzunlendim--semahat_ozdenses',101) # the beat annotations start at 32 second, so one should forbid the beat detector to detect before 32
# list_MBID['eb4d2af4-851c-43f3-aaad-33a5b7bd3c34'] = ('hicaz--sarki--aksak--dil_yaresini--sevki_bey',96)
else: # lakh
list_MBID['TRALLSG128F425A685'] = ('TRALLSG128F425A685',86)
list_MBID['TRGWUEG128F4270721'] = ('TRAYOPU128F1464B52',97)
list_MBID['TRAYOPU128F1464B52'] = ('TRAYOPU128F1464B52',78)
# list_MBID['TRTQHCR128F42640F5'] = ('TRTQHCR128F42640F5',234.17) # nirvana
list_MBID['TROEEIY12903CCF25A'] = ('TROEEIY12903CCF25A',123.81)
list_MBID['TRWTFEA128F426E1DC'] = ('TRWTFEA128F426E1DC',77.38)
list_MBID['TRTRJRT12903D05FC3'] = ('TRTRJRT12903D05FC3',144.67)
ordered_list_MBID = collections.OrderedDict(sorted(list_MBID.items()))
def doit_all(argv):
if len(argv) != 3:
sys.exit('usage: {} <dataset dir> <metrical-accent aware> '.format(argv[0])) # also set WITH_MAKAM in MonoNoteParameters
dataset_main_dir = argv[1]
# dataset_main_dir = '/Users/joro/workspace/otmm_vocal_segments_dataset/'
pypYIN.MonoNoteParameters.WITH_BEAT_ANNOS = int(argv[2])
output_dir = create_output_dirs(dataset_main_dir, pypYIN.MonoNoteParameters.WITH_BEAT_ANNOS)
for MBID in ordered_list_MBID.keys(): # create subdirs for each audio
MBID_dir = os.path.join(output_dir, MBID)
if not os.path.exists(MBID_dir):
os.mkdir(MBID_dir)
for MBID in ordered_list_MBID.keys():
# print 'MBID={}'.format(MBID)
# print 'python ~/workspace/madmom_notes/bin/GMMNotePatternTracker single -o $PATH_DATASET/experiments/ht_0_02/$MBID/$MBID.estimatedbeats $PATH_DATASET/data/$MBID/$MBID.wav'
# print '/Users/joro/workspace/otmm_vocal_segments_dataset/data/' + MBID + '/' + MBID + '.wav'
doit(['dummy', dataset_main_dir + '/', MBID, pypYIN.MonoNoteParameters.WITH_BEAT_ANNOS ])
if __name__ == '__main__':
doit_all(sys.argv)