comparison utils/SegUtil.py @ 4:56a2ca9359d0

evaluation script

 from scipy.ndimage import filters, zoom
 from scipy import signal
 import pylab as plt
 from scipy.spatial.distance import squareform, pdist
 from scipy.ndimage.filters import *
+from sklearn.metrics.pairwise import pairwise_distances
 
 
 def lognormalize_chroma(C):
 	"""Log-normalizes chroma such that each vector is between -80 to 0."""
 	C += np.abs(C.min()) + 0.1