def load(self):
self.seedSegCount = self.csv['segmentation count'][self.seedIndex]
self.seed = [None] * self.seedSegCount
for i in xrange(0, self.seedSegCount):
name = os.path.join(PgzLocation, 'normalized-' +
self.seedName+'(inst)'+'_'+str(i+1)+'.pgz')
self.seed[i] = pre.load(name)
print('loaded ', self.seed[i].name)
def load(self):
c = self.csv # To simpilfy
self.seedIndex = c.index[c['song name'] == self.seedName].tolist()[0]
self.seedSegCount = self.csv['segmentation count'][self.seedIndex]
print self.seedIndex
print self.seedName
self.seed = [None] * self.seedSegCount
for i in xrange(0, self.seedSegCount):
name = pathJoin(
PgzLocation + self.cateName + '/inst/',
self.seedName + '(inst)' + '_' + str(i + 1) + '.pgz')
self.seed[i] = pre.load(name)
print 'loaded ', self.seed[i].name
self.progressBar.setText("\nDone Loading Segments.")
def mashupLoadAtOnce(self):
self.mashup = [None]*self.seedSegCount
mashabilityList = [None]*self.seedSegCount
mashupedIndex = [] # saved already mashuped seg index to filter repeat
threshold = 0.82
seg = []
# load all segmentation
for candIndex, candName in enumerate(self.csv['song name']):
if candIndex == self.seedIndex:
continue
for candSegIndex in range(1, self.csv['segmentation count'][candIndex]+1):
candSegPath = os.path.join(
PgzLocation, 'normalized-'+candName+'(inst)'+'_'+str(candSegIndex)+'.pgz')
seg.append(pre.load(candSegPath))
print("loaded all seg")
# Mashupping
for seedSegNow in range(0, self.seedSegCount):
# iterate all segmentations in seed song
# # Notice: The first section and the last section will not be mashupped.
# if seedSegNow == 0 or seedSegNow == self.seedSegCount-1 :
# continue
# if seedSegNow == 0 or seedSegNow == 1 :
# continue
maxMashability = -1000
maxSeg = None
maxIndex = -1
for segIndex, cand in enumerate(seg):
# iterate all segmentation
mash = pre.Mashability(self.seed[seedSegNow], cand).mash()
if maxMashability < mash:
maxMashability = mash
maxSeg = cand
maxIndex = segIndex
if segIndex % 10 == 0:
print('compared : ', segIndex, ' of ', len(seg))
print('maxSeg = ', maxSeg.name)
mashabilityList[seedSegNow] = maxMashability
# candWithVocalSegPath = os.path.join(SongPgzLocation,maxSeg.name[:maxSeg.name.rfind('(inst')]+maxSeg.name[maxSeg.name.rfind('_'):]+'.pgz')
# print 'Mashed File: '+ maxSeg.name[:maxSeg.name.rfind('(inst')]+maxSeg.name[maxSeg.name.rfind('_'):]+'.pgz'
vocalSegPath = os.path.join(SongPgzLocation, maxSeg.name[:maxSeg.name.rfind(
'(inst')] + '(vocal)' + maxSeg.name[maxSeg.name.rfind('_'):]+'.pgz')
print('Mashed File: ' + maxSeg.name[:maxSeg.name.rfind(
'(inst')] + '(vocal)' + maxSeg.name[maxSeg.name.rfind('_'):]+'.wav')
if maxMashability >= threshold:
self.mashup[seedSegNow] = pre.load(vocalSegPath)
else:
print('Mashability < Threshold , Skip ...')
print('Mashed : #', seedSegNow+1, ' of ', self.seedSegCount)
del seg[maxIndex]
print('selected : ')
for index, candSeg in enumerate(self.mashup):
if candSeg:
print(candSeg.name, ' : ', mashabilityList[index])
seg = [None] * self.seedSegCount
for i in xrange(self.seedSegCount):
# overlay cand and seed
if self.mashup[i]:
instSegPath = os.path.join(WavLocation, maxSeg.name + '.wav')
instSig, instSr = librosa.load(instSegPath, sr=None)
seg[i] = mashup.overlay(instSig, instSr, self.seed[i].signal,
self.seed[i].sr, self.mashup[i].signal, self.mashup[i].sr)
# Checkkkkkkkkkkk
else:
seg[i] = self.seed[i].signal
# bridging
if i == 0:
signal = seg[i]
else:
signal = mashup.bridging(
signal, self.seed[0].sr, seg[i], self.seed[0].sr, 5000)
self.mashuppedSig = signal
self.saveMashuped()
def mashupLoadSeperately(self):
self.mashup = [None]*self.seedSegCount
mashabilityList = [None]*self.seedSegCount
mashupedDic = {}
threshold = 0.82
for seedSegNow in xrange(0, self.seedSegCount):
# iterate all segmentations in seed song
maxMashability = -1000
candSeg = None
maxSeg = None
for candIndex, candName in enumerate(self.csv['song name']):
# iterate all songs in database
if candIndex == self.seedIndex:
continue
for candSegIndex in xrange(1, self.csv['segmentation count'][candIndex]+1):
# iterate all segmentations in candidate song
candSegPath = os.path.join(
PgzLocation, candName+'_'+str(candSegIndex)+'.pgz')
if canSedPath[:-4] in mashupedDic:
print(canSedPath, ' is already mashupped ')
continue
candSeg = pre.load(candSegPath)
mash = pre.Mashability(
self.seed[seedSegNow], candSeg).mash()
if maxMashability < mash:
maxMashability = mash
maxSeg = candSeg
print('compared :', candName)
if maxSeg is not None:
print('maxSeg = ', maxSeg.name)
mashabilityList[seedSegNow] = maxMashability
print('Mashed : #', seedSegNow+1, ' of ', self.seedSegCount)
if maxMashability >= threshold:
self.mashup[seedSegNow] = maxSeg
else:
print('Mashability = ' + maxMashability +
' < Threshold , Skip...')
mashupedDic.add({maxSeg.name: True})
print('selected : ')
for index, candSeg in enumerate(self.mashup):
print(candSeg.name, ' : ', mashabilityList[index])
seg = [None] * self.seedSegCount
for i in range(self.seedSegCount):
# overlay cand and seed
if self.mashup[i]:
instSegPath = pathJoin(WavLocation, maxSeg.name + '.wav')
instSig, instSr = librosa.load(instSegPath, sr=None)
seg[i] = mashup.overlay(instSig, instSr, self.seed[i].signal,
self.seed[i].sr, self.mashup[i].signal, self.mashup[i].sr)
else:
seg[i] = self.seed[i].signal
# bridging
if i == 0:
signal = seg[i]
else:
signal = mashup.bridging(
signal, self.seed[0].sr, seg[i], self.seed[0].sr, 5000)
self.mashuppedSig = signal
self.saveMashuped()
def mashupLoadAtOnce(self):
self.mashup = [None] * self.seedSegCount
mashabilityList = [None] * self.seedSegCount
mashupedIndex = [] # saved already mashuped seg index to filter repeat
threshold = 0.82
seg = []
# load all segmentation
for candIndex, candName in enumerate(self.csv['song name']):
if candIndex == self.seedIndex:
continue
for candSegIndex in xrange(
1, self.csv['segmentation count'][candIndex] + 1):
candSegPath = pathJoin(
PgzLocation + self.cateName + '/inst/',
candName + '(inst)' + '_' + str(candSegIndex) + '.pgz')
seg.append(pre.load(candSegPath))
print "loaded all segments"
#Mashupping
for seedSegNow in xrange(0, self.seedSegCount):
# iterate all segmentations in seed song
maxMashability = -1000
maxSeg = None
maxIndex = -1
for segIndex, cand in enumerate(seg):
# iterate all segmentation
masha = pre.Mashability(self.seed[seedSegNow], cand).mash()
if maxMashability < masha:
maxMashability = masha
maxSeg = cand
maxIndex = segIndex
if segIndex % 10 == 0:
print 'compared : ', segIndex, ' of ', len(seg)
print 'maxSeg = ', maxSeg.name
mashabilityList[seedSegNow] = maxMashability
vocalSegPath = pathJoin(
SongPgzLocation + self.cateName + '/vocal/',
maxSeg.name[:maxSeg.name.rfind('(inst')] + '(vocal)' +
maxSeg.name[maxSeg.name.rfind('_'):] + '.pgz')
print 'Mashed File: ' + maxSeg.name[:maxSeg.name.rfind(
'(inst')] + '(vocal)' + maxSeg.name[maxSeg.name.
rfind('_'):] + '.wav'
if maxMashability >= threshold:
self.mashup[seedSegNow] = pre.load(vocalSegPath)
else:
print('Mashability = ' + str(maxMashability) +
' < Threshold , Skip ...')
print "Mashed : #" + str(seedSegNow + 1) + " of " + str(
self.seedSegCount)
del seg[maxIndex]
print 'selected : '
for index, candSeg in enumerate(self.mashup):
if candSeg:
print candSeg.name, ' : ', mashabilityList[index]
seg = [None] * self.seedSegCount
for i in xrange(self.seedSegCount):
# overlay cand and seed
if self.mashup[i]:
instSegPath = pathJoin(WavLocation + self.cateName + '/inst/',
maxSeg.name + '.wav')
instSig, instSr = librosa.load(instSegPath, sr=None)
seg[i] = mashup.overlay(instSig, instSr, self.seed[i].signal,
self.seed[i].sr, self.mashup[i].signal,
self.mashup[i].sr)
else:
seg[i] = self.seed[i].signal
# bridging
if i == 0:
signal = seg[i]
else:
signal = mashup.bridging(signal, self.seed[0].sr, seg[i],
self.seed[0].sr, 5000)
self.mashuppedSig = signal
self.saveMashuped()
self.progressBar.setText("\nMashupped Song\nhas been saved.")
class COLOR: # {{{
END = '\033[0m'
RED = '\033[31m'
GREEN = '\033[32m'
ORANGE = '\033[33m'
BLUE = '\033[34m'
PURPLE = '\033[35m' # }}}
#Read Song List and Choose which song as seed
csv = read_csv(os.path.join(PgzLocation, 'metadata.csv'))
print COLOR.ORANGE + '{:<3} | {:<12} '.format('ID', 'Song Name') + COLOR.END
print '================'
for count, name in enumerate(csv['song name']):
print '{:<3} | {:<12} '.format(count, name)
id = input("Please Enter ID...")
#Load songs and metadata
seed_seg_count = csv['segmentation count'][id]
seedname = csv['song name'][id]
seed = [None] * seed_seg_count
for i in xrange(0, seed_seg_count):
name = os.path.join(PgzLocation, seedname + '_' + str(i + 1) + '.pgz')
seed[i] = pre.load(name)
print 'loaded ', seed[i].name
signal = seed[0].signal
for i in seed:
print i.name, i.signal.shape
signal = np.concatenate((signal, i.signal))
