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Python inception.inception_v1_base方法代碼示例

本文整理匯總了Python中nets.inception.inception_v1_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_v1_base方法的具體用法?Python inception.inception_v1_base怎麽用?Python inception.inception_v1_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nets.inception的用法示例。


在下文中一共展示了inception.inception_v1_base方法的6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: testBuildOnlyUptoFinalEndpoint

# 需要導入模塊: from nets import inception [as 別名]
# 或者: from nets.inception import inception_v1_base [as 別名]
def testBuildOnlyUptoFinalEndpoint(self):
    batch_size = 5
    height, width = 224, 224
    endpoints = ['Conv2d_1a_7x7', 'MaxPool_2a_3x3', 'Conv2d_2b_1x1',
                 'Conv2d_2c_3x3', 'MaxPool_3a_3x3', 'Mixed_3b', 'Mixed_3c',
                 'MaxPool_4a_3x3', 'Mixed_4b', 'Mixed_4c', 'Mixed_4d',
                 'Mixed_4e', 'Mixed_4f', 'MaxPool_5a_2x2', 'Mixed_5b',
                 'Mixed_5c']
    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_v1_base(
            inputs, final_endpoint=endpoint)
        self.assertTrue(out_tensor.op.name.startswith(
            'InceptionV1/' + endpoint))
        self.assertItemsEqual(endpoints[:index+1], end_points) 
開發者ID:ringringyi,項目名稱:DOTA_models,代碼行數:18,代碼來源:inception_v1_test.py

示例2: testBuildOnlyUptoFinalEndpoint

# 需要導入模塊: from nets import inception [as 別名]
# 或者: from nets.inception import inception_v1_base [as 別名]
def testBuildOnlyUptoFinalEndpoint(self):
    batch_size = 5
    height, width = 224, 224
    endpoints = ['Conv2d_1a_7x7', 'MaxPool_2a_3x3', 'Conv2d_2b_1x1',
                 'Conv2d_2c_3x3', 'MaxPool_3a_3x3', 'Mixed_3b', 'Mixed_3c',
                 'MaxPool_4a_3x3', 'Mixed_4b', 'Mixed_4c', 'Mixed_4d',
                 'Mixed_4e', 'Mixed_4f', 'MaxPool_5a_2x2', 'Mixed_5b',
                 'Mixed_5c']
    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_v1_base(
            inputs, final_endpoint=endpoint)
        self.assertTrue(out_tensor.op.name.startswith(
            'InceptionV1/' + endpoint))
        self.assertItemsEqual(endpoints[:index+1], end_points.keys()) 
開發者ID:leimao,項目名稱:DeepLab_v3,代碼行數:18,代碼來源:inception_v1_test.py

示例3: testBuildBaseNetwork

# 需要導入模塊: from nets import inception [as 別名]
# 或者: from nets.inception import inception_v1_base [as 別名]
def testBuildBaseNetwork(self):
    batch_size = 5
    height, width = 224, 224

    inputs = tf.random_uniform((batch_size, height, width, 3))
    mixed_6c, end_points = inception.inception_v1_base(inputs)
    self.assertTrue(mixed_6c.op.name.startswith('InceptionV1/Mixed_5c'))
    self.assertListEqual(mixed_6c.get_shape().as_list(),
                         [batch_size, 7, 7, 1024])
    expected_endpoints = ['Conv2d_1a_7x7', 'MaxPool_2a_3x3', 'Conv2d_2b_1x1',
                          'Conv2d_2c_3x3', 'MaxPool_3a_3x3', 'Mixed_3b',
                          'Mixed_3c', 'MaxPool_4a_3x3', 'Mixed_4b', 'Mixed_4c',
                          'Mixed_4d', 'Mixed_4e', 'Mixed_4f', 'MaxPool_5a_2x2',
                          'Mixed_5b', 'Mixed_5c']
    self.assertItemsEqual(end_points.keys(), expected_endpoints) 
開發者ID:ringringyi,項目名稱:DOTA_models,代碼行數:17,代碼來源:inception_v1_test.py

示例4: testBuildAndCheckAllEndPointsUptoMixed5c

# 需要導入模塊: from nets import inception [as 別名]
# 或者: from nets.inception import inception_v1_base [as 別名]
def testBuildAndCheckAllEndPointsUptoMixed5c(self):
    batch_size = 5
    height, width = 224, 224

    inputs = tf.random_uniform((batch_size, height, width, 3))
    _, end_points = inception.inception_v1_base(inputs,
                                                final_endpoint='Mixed_5c')
    endpoints_shapes = {'Conv2d_1a_7x7': [5, 112, 112, 64],
                        'MaxPool_2a_3x3': [5, 56, 56, 64],
                        'Conv2d_2b_1x1': [5, 56, 56, 64],
                        'Conv2d_2c_3x3': [5, 56, 56, 192],
                        'MaxPool_3a_3x3': [5, 28, 28, 192],
                        'Mixed_3b': [5, 28, 28, 256],
                        'Mixed_3c': [5, 28, 28, 480],
                        'MaxPool_4a_3x3': [5, 14, 14, 480],
                        'Mixed_4b': [5, 14, 14, 512],
                        'Mixed_4c': [5, 14, 14, 512],
                        'Mixed_4d': [5, 14, 14, 512],
                        'Mixed_4e': [5, 14, 14, 528],
                        'Mixed_4f': [5, 14, 14, 832],
                        'MaxPool_5a_2x2': [5, 7, 7, 832],
                        'Mixed_5b': [5, 7, 7, 832],
                        'Mixed_5c': [5, 7, 7, 1024]}

    self.assertItemsEqual(endpoints_shapes.keys(), end_points.keys())
    for endpoint_name in endpoints_shapes:
      expected_shape = endpoints_shapes[endpoint_name]
      self.assertTrue(endpoint_name in end_points)
      self.assertListEqual(end_points[endpoint_name].get_shape().as_list(),
                           expected_shape) 
開發者ID:ringringyi,項目名稱:DOTA_models,代碼行數:32,代碼來源:inception_v1_test.py

示例5: testModelHasExpectedNumberOfParameters

# 需要導入模塊: from nets import inception [as 別名]
# 或者: from nets.inception import inception_v1_base [as 別名]
def testModelHasExpectedNumberOfParameters(self):
    batch_size = 5
    height, width = 224, 224
    inputs = tf.random_uniform((batch_size, height, width, 3))
    with slim.arg_scope(inception.inception_v1_arg_scope()):
      inception.inception_v1_base(inputs)
    total_params, _ = slim.model_analyzer.analyze_vars(
        slim.get_model_variables())
    self.assertAlmostEqual(5607184, total_params) 
開發者ID:ringringyi,項目名稱:DOTA_models,代碼行數:11,代碼來源:inception_v1_test.py

示例6: testHalfSizeImages

# 需要導入模塊: from nets import inception [as 別名]
# 或者: from nets.inception import inception_v1_base [as 別名]
def testHalfSizeImages(self):
    batch_size = 5
    height, width = 112, 112

    inputs = tf.random_uniform((batch_size, height, width, 3))
    mixed_5c, _ = inception.inception_v1_base(inputs)
    self.assertTrue(mixed_5c.op.name.startswith('InceptionV1/Mixed_5c'))
    self.assertListEqual(mixed_5c.get_shape().as_list(),
                         [batch_size, 4, 4, 1024]) 
開發者ID:ringringyi,項目名稱:DOTA_models,代碼行數:11,代碼來源:inception_v1_test.py


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