def processFile(x, dir_name, files):
print dir_name
print files
for f in files:
path = os.path.join(dir_name, f)
if f.startswith('.') or not os.path.isfile(path):
continue
print 'Processing ' + path
fe = FeatureExtractor();
fe.setup(path);
extractedFeatures = fe.getAllFeatures();
sys.stdout.write('Finished extracting features!' + "\n")
data = {f: extractedFeatures}
pickle.dump(data, open( "extracted_features.pickle", "a" ))
continue
print 'Processing ' + path
fe = FeatureExtractor();
fe.setup(path);
extractedFeatures = fe.getAllFeatures();
sys.stdout.write('Finished extracting features!' + "\n")
data = {f: extractedFeatures}
pickle.dump(data, open( "extracted_features.pickle", "a" ))
if __name__ == '__main__':
# process existing audio files
# os.path.walk('../data', processFile, 0)
fe = FeatureExtractor();
path = sys.argv[1]
fe.setup(path)
extractedFeatures = fe.getAllFeatures();
currFile = {path: extractedFeatures}
# load features that were extracted from existing files
fl = FeatureLoader()
dirname, filename = os.path.split(os.path.abspath(__file__))
ground_truth = os.path.join(dirname, 'extracted_features.pickle')
data = fl.load(ground_truth)
# compare features between uploaded file and existing files
fc = FeatureComparator()
diffList = []
currFileName = currFile.iterkeys().next()
for d in data:
dName = d.iterkeys().next()
