本文整理汇总了Python中im2txt.ops.image_embedding.inception_v3方法的典型用法代码示例。如果您正苦于以下问题：Python image_embedding.inception_v3方法的具体用法？Python image_embedding.inception_v3怎么用？Python image_embedding.inception_v3使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类im2txt.ops.image_embedding的用法示例。
在下文中一共展示了image_embedding.inception_v3方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: build_image_embeddings
# 需要导入模块: from im2txt.ops import image_embedding [as 别名]
# 或者: from im2txt.ops.image_embedding import inception_v3 [as 别名]
def build_image_embeddings(self):
"""Builds the image model subgraph and generates image embeddings.
Inputs:
self.images
Outputs:
self.image_embeddings
"""
inception_output = image_embedding.inception_v3(
self.images,
trainable=self.train_inception,
is_training=self.is_training())
self.inception_variables = tf.get_collection(
tf.GraphKeys.GLOBAL_VARIABLES, scope="InceptionV3")
# Map inception output into embedding space.
with tf.variable_scope("image_embedding") as scope:
image_embeddings = tf.contrib.layers.fully_connected(
inputs=inception_output,
num_outputs=self.config.embedding_size,
activation_fn=None,
weights_initializer=self.initializer,
biases_initializer=None,
scope=scope)
# Save the embedding size in the graph.
tf.constant(self.config.embedding_size, name="embedding_size")
self.image_embeddings = image_embeddings 示例2: testTrainableTrueIsTrainingTrue
# 需要导入模块: from im2txt.ops import image_embedding [as 别名]
# 或者: from im2txt.ops.image_embedding import inception_v3 [as 别名]
def testTrainableTrueIsTrainingTrue(self):
embeddings = image_embedding.inception_v3(
self._images, trainable=True, is_training=True)
self.assertEqual([self._batch_size, 2048], embeddings.get_shape().as_list())
self._verifyParameterCounts()
self._assertCollectionSize(376, tf.GraphKeys.GLOBAL_VARIABLES)
self._assertCollectionSize(188, tf.GraphKeys.TRAINABLE_VARIABLES)
self._assertCollectionSize(188, tf.GraphKeys.UPDATE_OPS)
self._assertCollectionSize(94, tf.GraphKeys.REGULARIZATION_LOSSES)
self._assertCollectionSize(0, tf.GraphKeys.LOSSES)
self._assertCollectionSize(23, tf.GraphKeys.SUMMARIES) 示例3: testTrainableTrueIsTrainingFalse
# 需要导入模块: from im2txt.ops import image_embedding [as 别名]
# 或者: from im2txt.ops.image_embedding import inception_v3 [as 别名]
def testTrainableTrueIsTrainingFalse(self):
embeddings = image_embedding.inception_v3(
self._images, trainable=True, is_training=False)
self.assertEqual([self._batch_size, 2048], embeddings.get_shape().as_list())
self._verifyParameterCounts()
self._assertCollectionSize(376, tf.GraphKeys.GLOBAL_VARIABLES)
self._assertCollectionSize(188, tf.GraphKeys.TRAINABLE_VARIABLES)
self._assertCollectionSize(0, tf.GraphKeys.UPDATE_OPS)
self._assertCollectionSize(94, tf.GraphKeys.REGULARIZATION_LOSSES)
self._assertCollectionSize(0, tf.GraphKeys.LOSSES)
self._assertCollectionSize(23, tf.GraphKeys.SUMMARIES) 示例4: testTrainableFalseIsTrainingTrue
# 需要导入模块: from im2txt.ops import image_embedding [as 别名]
# 或者: from im2txt.ops.image_embedding import inception_v3 [as 别名]
def testTrainableFalseIsTrainingTrue(self):
embeddings = image_embedding.inception_v3(
self._images, trainable=False, is_training=True)
self.assertEqual([self._batch_size, 2048], embeddings.get_shape().as_list())
self._verifyParameterCounts()
self._assertCollectionSize(376, tf.GraphKeys.GLOBAL_VARIABLES)
self._assertCollectionSize(0, tf.GraphKeys.TRAINABLE_VARIABLES)
self._assertCollectionSize(0, tf.GraphKeys.UPDATE_OPS)
self._assertCollectionSize(0, tf.GraphKeys.REGULARIZATION_LOSSES)
self._assertCollectionSize(0, tf.GraphKeys.LOSSES)
self._assertCollectionSize(23, tf.GraphKeys.SUMMARIES) 示例5: testTrainableFalseIsTrainingFalse
# 需要导入模块: from im2txt.ops import image_embedding [as 别名]
# 或者: from im2txt.ops.image_embedding import inception_v3 [as 别名]
def testTrainableFalseIsTrainingFalse(self):
embeddings = image_embedding.inception_v3(
self._images, trainable=False, is_training=False)
self.assertEqual([self._batch_size, 2048], embeddings.get_shape().as_list())
self._verifyParameterCounts()
self._assertCollectionSize(376, tf.GraphKeys.GLOBAL_VARIABLES)
self._assertCollectionSize(0, tf.GraphKeys.TRAINABLE_VARIABLES)
self._assertCollectionSize(0, tf.GraphKeys.UPDATE_OPS)
self._assertCollectionSize(0, tf.GraphKeys.REGULARIZATION_LOSSES)
self._assertCollectionSize(0, tf.GraphKeys.LOSSES)
self._assertCollectionSize(23, tf.GraphKeys.SUMMARIES)