def start_bundle(self, context=None):
os.environ["KERAS_BACKEND"] = "theano"
import vgg16bn
from keras import backend as K
K.set_image_dim_ordering('th')
logging.warn("Loading VGG")
self.vgg = vgg16bn.Vgg16BN(include_top=False, size=self.size)
logging.warn("Done loading VGG")
import vgg16bn
import dl_utils
print("Building model")
vgg = vgg16bn.Vgg16BN(include_top=False, size=(360, 640))
print("Reading data")
trn = dl_utils.get_data('/home/alpha/fish/train/', (360,640))
print("Computing CNN features")
features, labels, classes = vgg.predict(trn)
print("Saving")
dl_utils.save_array("cnn_features.dat", features)
dl_utils.save_array("labels.dat", labels)
dl_utils.save_array("classes.dat", classes)