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Python resnet_v2.resnet_v2方法代码示例

本文整理汇总了Python中nets.resnet_v2.resnet_v2方法的典型用法代码示例。如果您正苦于以下问题:Python resnet_v2.resnet_v2方法的具体用法?Python resnet_v2.resnet_v2怎么用?Python resnet_v2.resnet_v2使用的例子?那么恭喜您, 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nets.resnet_v2的用法示例。


在下文中一共展示了resnet_v2.resnet_v2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: _resnet_small

# 需要导入模块: from nets import resnet_v2 [as 别名]
# 或者: from nets.resnet_v2 import resnet_v2 [as 别名]
def _resnet_small(self,
                    inputs,
                    num_classes=None,
                    is_training=True,
                    global_pool=True,
                    output_stride=None,
                    include_root_block=True,
                    reuse=None,
                    scope='resnet_v2_small'):
    """A shallow and thin ResNet v2 for faster tests."""
    block = resnet_v2.resnet_v2_block
    blocks = [
        block('block1', base_depth=1, num_units=3, stride=2),
        block('block2', base_depth=2, num_units=3, stride=2),
        block('block3', base_depth=4, num_units=3, stride=2),
        block('block4', base_depth=8, num_units=2, stride=1),
    ]
    return resnet_v2.resnet_v2(inputs, blocks, num_classes,
                               is_training=is_training,
                               global_pool=global_pool,
                               output_stride=output_stride,
                               include_root_block=include_root_block,
                               reuse=reuse,
                               scope=scope) 
开发者ID:DetectionTeamUCAS,项目名称:R2CNN_Faster-RCNN_Tensorflow,代码行数:26,代码来源:resnet_v2_test.py

示例2: testEndPointsV2

# 需要导入模块: from nets import resnet_v2 [as 别名]
# 或者: from nets.resnet_v2 import resnet_v2 [as 别名]
def testEndPointsV2(self):
    """Test the end points of a tiny v2 bottleneck network."""
    bottleneck = resnet_v2.bottleneck
    blocks = [resnet_utils.Block('block1', bottleneck, [(4, 1, 1), (4, 1, 2)]),
              resnet_utils.Block('block2', bottleneck, [(8, 2, 1), (8, 2, 1)])]
    inputs = create_test_input(2, 32, 16, 3)
    with slim.arg_scope(resnet_utils.resnet_arg_scope()):
      _, end_points = self._resnet_plain(inputs, blocks, scope='tiny')
    expected = [
        'tiny/block1/unit_1/bottleneck_v2/shortcut',
        'tiny/block1/unit_1/bottleneck_v2/conv1',
        'tiny/block1/unit_1/bottleneck_v2/conv2',
        'tiny/block1/unit_1/bottleneck_v2/conv3',
        'tiny/block1/unit_2/bottleneck_v2/conv1',
        'tiny/block1/unit_2/bottleneck_v2/conv2',
        'tiny/block1/unit_2/bottleneck_v2/conv3',
        'tiny/block2/unit_1/bottleneck_v2/shortcut',
        'tiny/block2/unit_1/bottleneck_v2/conv1',
        'tiny/block2/unit_1/bottleneck_v2/conv2',
        'tiny/block2/unit_1/bottleneck_v2/conv3',
        'tiny/block2/unit_2/bottleneck_v2/conv1',
        'tiny/block2/unit_2/bottleneck_v2/conv2',
        'tiny/block2/unit_2/bottleneck_v2/conv3']
    self.assertItemsEqual(expected, end_points) 
开发者ID:wenwei202,项目名称:terngrad,代码行数:26,代码来源:resnet_v2_test.py

示例3: testEndPointsV2

# 需要导入模块: from nets import resnet_v2 [as 别名]
# 或者: from nets.resnet_v2 import resnet_v2 [as 别名]
def testEndPointsV2(self):
    """Test the end points of a tiny v2 bottleneck network."""
    blocks = [
        resnet_v2.resnet_v2_block(
            'block1', base_depth=1, num_units=2, stride=2),
        resnet_v2.resnet_v2_block(
            'block2', base_depth=2, num_units=2, stride=1),
    ]
    inputs = create_test_input(2, 32, 16, 3)
    with slim.arg_scope(resnet_utils.resnet_arg_scope()):
      _, end_points = self._resnet_plain(inputs, blocks, scope='tiny')
    expected = [
        'tiny/block1/unit_1/bottleneck_v2/shortcut',
        'tiny/block1/unit_1/bottleneck_v2/conv1',
        'tiny/block1/unit_1/bottleneck_v2/conv2',
        'tiny/block1/unit_1/bottleneck_v2/conv3',
        'tiny/block1/unit_2/bottleneck_v2/conv1',
        'tiny/block1/unit_2/bottleneck_v2/conv2',
        'tiny/block1/unit_2/bottleneck_v2/conv3',
        'tiny/block2/unit_1/bottleneck_v2/shortcut',
        'tiny/block2/unit_1/bottleneck_v2/conv1',
        'tiny/block2/unit_1/bottleneck_v2/conv2',
        'tiny/block2/unit_1/bottleneck_v2/conv3',
        'tiny/block2/unit_2/bottleneck_v2/conv1',
        'tiny/block2/unit_2/bottleneck_v2/conv2',
        'tiny/block2/unit_2/bottleneck_v2/conv3']
    self.assertItemsEqual(expected, end_points) 
开发者ID:ringringyi,项目名称:DOTA_models,代码行数:29,代码来源:resnet_v2_test.py

示例4: _resnet_small

# 需要导入模块: from nets import resnet_v2 [as 别名]
# 或者: from nets.resnet_v2 import resnet_v2 [as 别名]
def _resnet_small(self,
                    inputs,
                    num_classes=None,
                    is_training=True,
                    global_pool=True,
                    output_stride=None,
                    include_root_block=True,
                    spatial_squeeze=True,
                    reuse=None,
                    scope='resnet_v2_small'):
    """A shallow and thin ResNet v2 for faster tests."""
    block = resnet_v2.resnet_v2_block
    blocks = [
        block('block1', base_depth=1, num_units=3, stride=2),
        block('block2', base_depth=2, num_units=3, stride=2),
        block('block3', base_depth=4, num_units=3, stride=2),
        block('block4', base_depth=8, num_units=2, stride=1),
    ]
    return resnet_v2.resnet_v2(inputs, blocks, num_classes,
                               is_training=is_training,
                               global_pool=global_pool,
                               output_stride=output_stride,
                               include_root_block=include_root_block,
                               spatial_squeeze=spatial_squeeze,
                               reuse=reuse,
                               scope=scope) 
开发者ID:ringringyi,项目名称:DOTA_models,代码行数:28,代码来源:resnet_v2_test.py

示例5: testEndPointsV2

# 需要导入模块: from nets import resnet_v2 [as 别名]
# 或者: from nets.resnet_v2 import resnet_v2 [as 别名]
def testEndPointsV2(self):
    """Test the end points of a tiny v2 bottleneck network."""
    blocks = [
        resnet_v2.resnet_v2_block(
            'block1', base_depth=1, num_units=2, stride=2),
        resnet_v2.resnet_v2_block(
            'block2', base_depth=2, num_units=2, stride=1),
    ]
    inputs = create_test_input(2, 32, 16, 3)
    with slim.arg_scope(resnet_utils.resnet_arg_scope()):
      _, end_points = self._resnet_plain(inputs, blocks, scope='tiny')
    expected = [
        'tiny/block1/unit_1/bottleneck_v2/shortcut',
        'tiny/block1/unit_1/bottleneck_v2/conv1',
        'tiny/block1/unit_1/bottleneck_v2/conv2',
        'tiny/block1/unit_1/bottleneck_v2/conv3',
        'tiny/block1/unit_2/bottleneck_v2/conv1',
        'tiny/block1/unit_2/bottleneck_v2/conv2',
        'tiny/block1/unit_2/bottleneck_v2/conv3',
        'tiny/block2/unit_1/bottleneck_v2/shortcut',
        'tiny/block2/unit_1/bottleneck_v2/conv1',
        'tiny/block2/unit_1/bottleneck_v2/conv2',
        'tiny/block2/unit_1/bottleneck_v2/conv3',
        'tiny/block2/unit_2/bottleneck_v2/conv1',
        'tiny/block2/unit_2/bottleneck_v2/conv2',
        'tiny/block2/unit_2/bottleneck_v2/conv3']
    self.assertItemsEqual(expected, end_points.keys()) 
开发者ID:leimao,项目名称:DeepLab_v3,代码行数:29,代码来源:resnet_v2_test.py


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