def __init__(self, num_of_classes, dropout_p, optimizer, height, width,
batch_size, train_maxlen):
self.num_of_classes = num_of_classes
self.dropout_p = dropout_p
self.optimizer = optimizer
self.height = height
self.width = width
self.batch_size = batch_size
self.loss = ctc(batch_size, train_maxlen)
self._build_model()
def __init__(self, data_set):
self.data_set = data_set
self.num_of_classes = 84
self.optimizer = 'Adadelta'
self.regParam = 0.001
self.height = 32
self.width = 128
self.batch_size = 32
self.loss = ctc(32, 10)
self.util = utils(32, 1, CHAR_VECTOR, 32, 128)
assure_path_exists("%s_pic/" % self.data_set)
self._build_model()