def agregarPost():
genero = int(request.form['genero'])
if 'archivo' not in request.files:
print 'No se ha enviado ningun archivo'
return redirect(url_for('index'))
file = request.files['archivo']
if file.filename == '':
print 'No se ha seleccionado ningun archivo'
return redirect(url_for('index'))
if file and allowed_file(file.filename):
filename = secure_filename(file.filename)
file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename))
print '> Archivo subido: ' + filename
audio = Audio(os.path.join(app.config['UPLOAD_FOLDER'], filename),
nro_texture_windows=NRO_TEXTURE_WINDOWS, hopsize=HOPSIZE)
print '> Extrayendo caracteristicas:' + filename
featureVector = feature.getFeatureVector(audio,
ANALYSIS_WINDOW,
HOPSIZE, TEXTURE_WINDOW)
common.saveDict(featureVector,
os.path.join(app.config['UPLOAD_FOLDER'],
filename + '.json'))
print '> JSON generado: ' + filename + '.json'
cur.execute(
"INSERT INTO songs (filename, genre, data) VALUES (%s, %s, %s)",
(filename, genero, filename + '.json'))
conn.commit()
return redirect(url_for('getLista'))
from neat import nn
import pickle
from app.audio.audioClass import Audio
from app.audio import feature
from app import common
a = Audio('/home/yuli/demo.wav',
nro_texture_windows=2584, hopsize=256)
dict = feature.getFeatureVector(a, 512, 256, 86)
arr = common.featureDictToArray(dict)
winner = pickle.load(open('/home/yuli/IA2/clasificador/app/data/redNeuronal.p',
'r'))
winner_net = nn.create_feed_forward_phenotype(winner)
output = winner_net.serial_activate(arr)
print output
