comparison SegEval.py @ 14:6dae41887406

added funcs for ssm enhancement in segutil scipt

 import matplotlib.pyplot as plt
 import matplotlib.gridspec as gridspec
 import numpy as np
 import scipy as sp
 from scipy.signal import correlate2d, convolve2d, filtfilt, resample
-from scipy.ndimage.filters import *
 from sklearn.decomposition import PCA
 from sklearn.mixture import GMM
 from sklearn.cluster import KMeans
 from sklearn.preprocessing import normalize
 from sklearn.metrics.pairwise import pairwise_distances

 import novelty as novelty_S
 
 # Algorithm params
 h = 8               # Size of median filter for features in C-NMF
 R = 15              # Size of the median filter for the activation matrix C-NMF
-rank = 4            # Rank of decomposition for the boundaries
-rank_labels = 6     # Rank of decomposition for the labels
-R_labels = 6        # Size of the median filter for the labels
+rank = 3            # Rank of decomposition for the boundaries
+rank_labels = 16     # Rank of decomposition for the labels
+R_labels = 4        # Size of the median filter for the labels
 # Foote
 M = 2           # Median filter for the audio features (in beats)
 Mg = 32         # Gaussian kernel size
 L = 16          # Size of the median filter for the adaptive threshold
 # 2D-FMC