def oldresyncmain():
"""Main driver for subtitle resyncing"""
from nktrainutils import SGDSVM, splitTrainEval, evalSVM
import librosa
from cPickle import dump, load
rate = 22050
if len(sys.argv) < 1:
print "Usage: python %s <video or audio file> <subtitle file> <vad model>" % (sys.argv[0])
sys.exit()
fname, subfname, modelfname = sys.argv[1:4]
model = SGDSVM.load(modelfname)
allfeats = getmel(fname)
def featfunc(a, b):
"""concats feats from the given times"""
a, b = int(a * 10), int(b * 10)
ret = allfeats[:, a:b].transpose().flatten()
return ret
seglen = 0.5
subels = []
A, B = 0, 300
for start in range(A, B):
feats = featfunc(start, start + seglen)
cls = SGDSVM().classify(model, [feats])[0]
subels.append(("Cls: %0.4f" % (cls), start, start + 1))
print start, cls
sys.stdout.flush()
# print subels
playpreview(fname.replace(".mel", ""), subels, A, B)
def oldresyncmain():
"""Main driver for subtitle resyncing"""
from nktrainutils import SGDSVM, splitTrainEval, evalSVM
import librosa
from cPickle import dump, load
rate = 22050
if len(sys.argv) < 1:
print 'Usage: python %s <video or audio file> <subtitle file> <vad model>' % (
sys.argv[0])
sys.exit()
fname, subfname, modelfname = sys.argv[1:4]
model = SGDSVM.load(modelfname)
allfeats = getmel(fname)
def featfunc(a, b):
"""concats feats from the given times"""
a, b = int(a * 10), int(b * 10)
ret = allfeats[:, a:b].transpose().flatten()
return ret
seglen = 0.5
subels = []
A, B = 0, 300
for start in range(A, B):
feats = featfunc(start, start + seglen)
cls = SGDSVM().classify(model, [feats])[0]
subels.append(('Cls: %0.4f' % (cls), start, start + 1))
print start, cls
sys.stdout.flush()
#print subels
playpreview(fname.replace('.mel', ''), subels, A, B)
