def _save_new(fname, mfccs, flat_mfccs, categories, distances, lengths):
if distances is None:
distances = dtw.distance_matrix(mfccs)
with tb.open_file(fname, 'a') as f:
f.create_earray('/', 'categories', shape=(0,), obj=categories)
f.create_earray('/', 'mfcc_lengths', shape=(0,), obj=lengths)
f.create_earray('/', 'mfccs', shape=(0, flat_mfccs.shape[1]), obj=flat_mfccs)
f.create_array('/', 'distances', obj=distances) # not extendable!
def _save_append(fname, mfccs, flat_mfccs, categories, distances, lengths):
if distances is None:
mfccs = _load_mfccs(fname) + mfccs
distances = dtw.distance_matrix(mfccs)
with tb.open_file(fname, 'a') as f:
f.root.categories.append(categories)
f.root.mfcc_lengths.append(lengths)
f.root.mfccs.append(flat_mfccs)
f.remove_node('/', 'distances')
f.create_array('/', 'distances', obj=distances) # not extendable!
def _save_append(fname, mfccs, flat_mfccs, categories, distances, lengths):
if distances is None:
mfccs = _load_mfccs(fname) + mfccs
distances = dtw.distance_matrix(mfccs)
with tb.open_file(fname, 'a') as f:
f.root.categories.append(categories)
f.root.mfcc_lengths.append(lengths)
f.root.mfccs.append(flat_mfccs)
f.remove_node('/', 'distances')
f.create_array('/', 'distances', obj=distances) # not extendable!
def _save_new(fname, mfccs, flat_mfccs, categories, distances, lengths):
if distances is None:
distances = dtw.distance_matrix(mfccs)
with tb.open_file(fname, 'a') as f:
f.create_earray('/', 'categories', shape=(0, ), obj=categories)
f.create_earray('/', 'mfcc_lengths', shape=(0, ), obj=lengths)
f.create_earray('/',
'mfccs',
shape=(0, flat_mfccs.shape[1]),
obj=flat_mfccs)
f.create_array('/', 'distances', obj=distances) # not extendable!
def compute_distances(self, outfile, callback=None):
mfccs = self.mfccs
if os.path.isfile(outfile):
mfccs = umdone.io._load_mfccs(outfile) + mfccs
self.distances = dtw.distance_matrix(mfccs, callback=callback)
return self.distances
def compute_distances(self, outfile, callback=None):
mfccs = self.mfccs
if os.path.isfile(outfile):
mfccs = umdone.io._load_mfccs(outfile) + mfccs
self.distances = dtw.distance_matrix(mfccs, callback=callback)
return self.distances
