本文整理匯總了Python中nets.inception.inception_v3_base方法的典型用法代碼示例。如果您正苦於以下問題：Python inception.inception_v3_base方法的具體用法？Python inception.inception_v3_base怎麽用？Python inception.inception_v3_base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.inception的用法示例。
在下文中一共展示了inception.inception_v3_base方法的3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: testBuildBaseNetwork
# 需要導入模塊: from nets import inception [as 別名]
# 或者: from nets.inception import inception_v3_base [as 別名]
def testBuildBaseNetwork(self):
batch_size = 5
height, width = 299, 299
inputs = tf.random_uniform((batch_size, height, width, 3))
final_endpoint, end_points = inception.inception_v3_base(inputs)
self.assertTrue(final_endpoint.op.name.startswith(
'InceptionV3/Mixed_7c'))
self.assertListEqual(final_endpoint.get_shape().as_list(),
[batch_size, 8, 8, 2048])
expected_endpoints = ['Conv2d_1a_3x3', 'Conv2d_2a_3x3', 'Conv2d_2b_3x3',
'MaxPool_3a_3x3', 'Conv2d_3b_1x1', 'Conv2d_4a_3x3',
'MaxPool_5a_3x3', 'Mixed_5b', 'Mixed_5c', 'Mixed_5d',
'Mixed_6a', 'Mixed_6b', 'Mixed_6c', 'Mixed_6d',
'Mixed_6e', 'Mixed_7a', 'Mixed_7b', 'Mixed_7c']
self.assertItemsEqual(end_points.keys(), expected_endpoints) 示例2: testBuildOnlyUptoFinalEndpoint
# 需要導入模塊: from nets import inception [as 別名]
# 或者: from nets.inception import inception_v3_base [as 別名]
def testBuildOnlyUptoFinalEndpoint(self):
batch_size = 5
height, width = 299, 299
endpoints = ['Conv2d_1a_3x3', 'Conv2d_2a_3x3', 'Conv2d_2b_3x3',
'MaxPool_3a_3x3', 'Conv2d_3b_1x1', 'Conv2d_4a_3x3',
'MaxPool_5a_3x3', 'Mixed_5b', 'Mixed_5c', 'Mixed_5d',
'Mixed_6a', 'Mixed_6b', 'Mixed_6c', 'Mixed_6d',
'Mixed_6e', 'Mixed_7a', 'Mixed_7b', 'Mixed_7c']
for index, endpoint in enumerate(endpoints):
with tf.Graph().as_default():
inputs = tf.random_uniform((batch_size, height, width, 3))
out_tensor, end_points = inception.inception_v3_base(
inputs, final_endpoint=endpoint)
self.assertTrue(out_tensor.op.name.startswith(
'InceptionV3/' + endpoint))
self.assertItemsEqual(endpoints[:index+1], end_points) 示例3: testBuildOnlyUptoFinalEndpoint
# 需要導入模塊: from nets import inception [as 別名]
# 或者: from nets.inception import inception_v3_base [as 別名]
def testBuildOnlyUptoFinalEndpoint(self):
batch_size = 5
height, width = 299, 299
endpoints = ['Conv2d_1a_3x3', 'Conv2d_2a_3x3', 'Conv2d_2b_3x3',
'MaxPool_3a_3x3', 'Conv2d_3b_1x1', 'Conv2d_4a_3x3',
'MaxPool_5a_3x3', 'Mixed_5b', 'Mixed_5c', 'Mixed_5d',
'Mixed_6a', 'Mixed_6b', 'Mixed_6c', 'Mixed_6d',
'Mixed_6e', 'Mixed_7a', 'Mixed_7b', 'Mixed_7c']
for index, endpoint in enumerate(endpoints):
with tf.Graph().as_default():
inputs = tf.random_uniform((batch_size, height, width, 3))
out_tensor, end_points = inception.inception_v3_base(
inputs, final_endpoint=endpoint)
self.assertTrue(out_tensor.op.name.startswith(
'InceptionV3/' + endpoint))
self.assertItemsEqual(endpoints[:index+1], end_points.keys())