HTLife

def defModel():
    model = Sequential()
    #Izda.add(TimeDistributed(
    #    Convolution2D(40,3,3,border_mode='same'), input_shape=(sequence_lengths, 1,8,10)))
    model.add(
        TimeDistributed(
            Conv2D(32, (7, 7), padding='same', strides = 2),
            input_shape=(None, 540, 960, 2)))
    model.add(Activation('relu'))

HTLife

def summary(input_size, model):
        def register_hook(module):
            def hook(module, input, output):
                class_name = str(module.__class__).split('.')[-1].split("'")[0]
                module_idx = len(summary)

                m_key = '%s-%i' % (class_name, module_idx+1)
                summary[m_key] = OrderedDict()
                summary[m_key]['input_shape'] = list(input[0].size())
                summary[m_key]['input_shape'][0] = -1

HTLife

.frontbg {
 background-color: #53cd80;
 border-radius: 7px;
 color: #fff;
 position: relative;
 left: 0;
}
.android .frontbg {
 background-color: #eelf34;
 border-radius: 7px;

HTLife

HTLife

import numpy as np
import os
import tensorflow as tf
#import urllib2

#from datasets import imagenet
#from nets import inception
#from preprocessing import inception_preprocessing

from PIL import Image, ImageDraw, ImageFont