本文整理匯總了Python中util.count_parameters方法的典型用法代碼示例。如果您正苦於以下問題：Python util.count_parameters方法的具體用法？Python util.count_parameters怎麽用？Python util.count_parameters使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類util的用法示例。
在下文中一共展示了util.count_parameters方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: __init__
# 需要導入模塊: import util [as 別名]
# 或者: from util import count_parameters [as 別名]
def __init__(self,
data_dir=None,
is_training=True,
learning_rate=0.0002,
beta1=0.9,
reconstr_weight=0.85,
smooth_weight=0.05,
ssim_weight=0.15,
icp_weight=0.0,
batch_size=4,
img_height=128,
img_width=416,
seq_length=3,
legacy_mode=False):
self.data_dir = data_dir
self.is_training = is_training
self.learning_rate = learning_rate
self.reconstr_weight = reconstr_weight
self.smooth_weight = smooth_weight
self.ssim_weight = ssim_weight
self.icp_weight = icp_weight
self.beta1 = beta1
self.batch_size = batch_size
self.img_height = img_height
self.img_width = img_width
self.seq_length = seq_length
self.legacy_mode = legacy_mode
logging.info('data_dir: %s', data_dir)
logging.info('learning_rate: %s', learning_rate)
logging.info('beta1: %s', beta1)
logging.info('smooth_weight: %s', smooth_weight)
logging.info('ssim_weight: %s', ssim_weight)
logging.info('icp_weight: %s', icp_weight)
logging.info('batch_size: %s', batch_size)
logging.info('img_height: %s', img_height)
logging.info('img_width: %s', img_width)
logging.info('seq_length: %s', seq_length)
logging.info('legacy_mode: %s', legacy_mode)
if self.is_training:
self.reader = reader.DataReader(self.data_dir, self.batch_size,
self.img_height, self.img_width,
self.seq_length, NUM_SCALES)
self.build_train_graph()
else:
self.build_depth_test_graph()
self.build_egomotion_test_graph()
# At this point, the model is ready. Print some info on model params.
util.count_parameters()