def validate(self, classify_path = None):
total_score = 0.0
K = 3
if classify_path is None:
for filename in [f for f in os.listdir(self.validation_path) if os.path.isfile(self.validation_path + f)]:
logger.log("classifying %s" % filename)
scores = audio.classify(self.train_set, self.validation_path + filename)
label = filename.replace('_', ' ').replace('.mp3', '').title()
top_pick = scores[0]
second = scores[1]
third = scores[2]
fourth = scores[3]
if top_pick[1] == label:
confidence_1 = (float(second[0]) - float(top_pick[0])) / float(second[0])
confidence_2 = (float(third[0]) - float(top_pick[0])) / float(third[0])
confidence_3 = (float(fourth[0]) - float(top_pick[0])) / float(fourth[0])
total_score += (confidence_1 + confidence_2 + confidence_3) / float(K)
print "classify correct, confidence: ", (confidence_1 + confidence_2 + confidence_3) / float(K)
else:
print "incorrect classify %s %s" % (top_pick[1], label)
print " first > ", top_pick
print " second > ", second
else:
logger.log(audio.classify(self.train_set, self.validation_path + classify_path))
self.train_set.default_validation_score = total_score
self.train_set.save()
return total_score
def POST(self, name):
destination_path = "uploads/test_track.mp3"
data = web.input()
fout = open(destination_path, 'w')
fout.write(data['uploadedfile'])
fout.close()
result = audio.classify(destination_path)
web.debug(result)
return result[0][1].split('_')[0]
