Python pix2pix.pix2pix_discriminator方法代碼示例

本文整理匯總了Python中nets.pix2pix.pix2pix_discriminator方法的典型用法代碼示例。如果您正苦於以下問題：Python pix2pix.pix2pix_discriminator方法的具體用法？Python pix2pix.pix2pix_discriminator怎麽用？Python pix2pix.pix2pix_discriminator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nets.pix2pix的用法示例。

在下文中一共展示了pix2pix.pix2pix_discriminator方法的2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: test_four_layers

# 需要導入模塊: from nets import pix2pix [as 別名]
# 或者: from nets.pix2pix import pix2pix_discriminator [as 別名]
def test_four_layers(self):
    batch_size = 2
    input_size = 256

    output_size = self._layer_output_size(input_size)
    output_size = self._layer_output_size(output_size)
    output_size = self._layer_output_size(output_size)
    output_size = self._layer_output_size(output_size, stride=1)
    output_size = self._layer_output_size(output_size, stride=1)

    images = tf.ones((batch_size, input_size, input_size, 3))
    with tf.contrib.framework.arg_scope(pix2pix.pix2pix_arg_scope()):
      logits, end_points = pix2pix.pix2pix_discriminator(
          images, num_filters=[64, 128, 256, 512])
    self.assertListEqual([batch_size, output_size, output_size, 1],
                         logits.shape.as_list())
    self.assertListEqual([batch_size, output_size, output_size, 1],
                         end_points['predictions'].shape.as_list())

開發者ID:leimao，項目名稱:DeepLab_v3，代碼行數:20，代碼來源:pix2pix_test.py

示例2: test_four_layers_no_padding

# 需要導入模塊: from nets import pix2pix [as 別名]
# 或者: from nets.pix2pix import pix2pix_discriminator [as 別名]
def test_four_layers_no_padding(self):
    batch_size = 2
    input_size = 256

    output_size = self._layer_output_size(input_size, pad=0)
    output_size = self._layer_output_size(output_size, pad=0)
    output_size = self._layer_output_size(output_size, pad=0)
    output_size = self._layer_output_size(output_size, stride=1, pad=0)
    output_size = self._layer_output_size(output_size, stride=1, pad=0)

    images = tf.ones((batch_size, input_size, input_size, 3))
    with tf.contrib.framework.arg_scope(pix2pix.pix2pix_arg_scope()):
      logits, end_points = pix2pix.pix2pix_discriminator(
          images, num_filters=[64, 128, 256, 512], padding=0)
    self.assertListEqual([batch_size, output_size, output_size, 1],
                         logits.shape.as_list())
    self.assertListEqual([batch_size, output_size, output_size, 1],
                         end_points['predictions'].shape.as_list())

開發者ID:leimao，項目名稱:DeepLab_v3，代碼行數:20，代碼來源:pix2pix_test.py

注：本文中的nets.pix2pix.pix2pix_discriminator方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。