comparison Code/genre_classification/classification/preprocess_spectrograms_7digital.py @ 24:68a62ca32441

Organized python scripts

+# -*- coding: utf-8 -*-
+"""
+Created on Thu Jul 23 21:55:58 2015
+
+@author: paulochiliguano
+"""
+
+
+import tables
+import numpy as np
+import cPickle
+import sklearn.preprocessing as preprocessing
+
+#Read HDF5 file that contains log-mel spectrograms
+filename = '/homes/pchilguano/msc_project/dataset/7digital/features/\
+feats.h5'
+with tables.openFile(filename, 'r') as f:
+    features = f.root.x.read()
+    #filenames = f.root.filenames.read()
+
+#Pre-processing of spectrograms mean=0 and std=1
+n_per_example = np.prod(features.shape[1:-1])
+number_of_features = features.shape[-1]
+flat_data = features.view()
+flat_data.shape = (-1, number_of_features)
+scaler = preprocessing.StandardScaler().fit(flat_data)
+flat_data = scaler.transform(flat_data)
+flat_data.shape = (features.shape[0], -1)
+
+f = file('/homes/pchilguano/msc_project/dataset/7digital/features/\
+feats.pkl', 'wb')
+cPickle.dump(flat_data, f, protocol=cPickle.HIGHEST_PROTOCOL)
+f.close()