hma02

import pysrt


def srt_shift(shift, scale, input_file, output_file):
    
    ## the input srt file should be in utf-8 encoding

    subs = pysrt.open(input_file)
    print len(subs)

hma02

from __future__ import print_function

from keras.datasets import cifar10
from keras.layers import merge, Input
from keras.layers.convolutional import Convolution2D, ZeroPadding2D, AveragePooling2D
from keras.layers.core import Dense, Activation, Flatten, Dropout
from keras.layers.normalization import BatchNormalization
from keras.models import Model
from keras.preprocessing.image import ImageDataGenerator
from keras.utils import np_utils

hma02

import lasagne as nn
Conv2DLayer = nn.layers.Conv2DDNNLayer

def inception_module(l_in, num_1x1, reduce_3x3, num_3x3, reduce_5x5, num_5x5, gain=1.0, bias=0.1):
    """
    inception module (without the 3x3s1 pooling and projection because that's difficult in Theano right now)
    """
    shape = l_in.get_output_shape()
    out_layers = []