def __init__(self, sess, args, reader):
op_base.__init__(self, args)
self.sess = sess
self.Reader = reader(args)
self.CGAN_TYPE = 'classifier_w_cgan'
# data
self.data = mnist()
def __init__(self, args, sess):
op_base.__init__(self, args)
self.sess = sess
self.sess_arg = tf.Session()
self.summaries = []
self.vgg = VGG19()
self.model_path = os.path.join('gan_result', 'gan_model')
self.code_path = os.path.join('gan_result', 'gan_encoder_code')
self.eval_path = os.path.join('gan_result', 'gan_eval')
def __init__(self, args, sess):
op_base.__init__(self, args)
self.sess = sess
self.sess_arg = tf.Session()
self.summaries = []
self.vgg = VGG19()
self.model_path = os.path.join('imle_result', 'imle_model')
self.eval_path = os.path.join('imle_result', 'imle_eval')
if (not os.path.exists('imle_result')):
os.mkdir('imle_result')
os.mkdir('imle_result/imle_model')
os.mkdir('imle_result/imle_eval')
def __init__(self, args, sess):
op_base.__init__(self, args)
self.sess = sess
self.summaries = []
self.init_base_graph()
self.init_index2txt()
def __init__(self, args):
op_base.__init__(self, args)
def __init__(self, sess, args, reader):
op_base.__init__(self, args)
self.sess = sess
self.Reader = reader(args)
def __init__(self, name, args):
op_base.__init__(self, args)
self.name = name
self.reuse = False
def __init__(self, sess, args):
self.sess = sess
self.summaries = []
op_base.__init__(self, args)
