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Python losses_pb2.LocalizationLoss方法代码示例

本文整理汇总了Python中object_detection.protos.losses_pb2.LocalizationLoss方法的典型用法代码示例。如果您正苦于以下问题:Python losses_pb2.LocalizationLoss方法的具体用法?Python losses_pb2.LocalizationLoss怎么用?Python losses_pb2.LocalizationLoss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object_detection.protos.losses_pb2的用法示例。


在下文中一共展示了losses_pb2.LocalizationLoss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_localization_loss

# 需要导入模块: from object_detection.protos import losses_pb2 [as 别名]
# 或者: from object_detection.protos.losses_pb2 import LocalizationLoss [as 别名]
def _build_localization_loss(loss_config):
  """Builds a localization loss based on the loss config.

  Args:
    loss_config: A losses_pb2.LocalizationLoss object.

  Returns:
    Loss based on the config.

  Raises:
    ValueError: On invalid loss_config.
  """
  if not isinstance(loss_config, losses_pb2.LocalizationLoss):
    raise ValueError('loss_config not of type losses_pb2.LocalizationLoss.')

  loss_type = loss_config.WhichOneof('localization_loss')

  if loss_type == 'weighted_l2':
    config = loss_config.weighted_l2
    return losses.WeightedL2LocalizationLoss(
        anchorwise_output=config.anchorwise_output)

  if loss_type == 'weighted_smooth_l1':
    config = loss_config.weighted_smooth_l1
    return losses.WeightedSmoothL1LocalizationLoss(
        anchorwise_output=config.anchorwise_output)

  if loss_type == 'weighted_iou':
    return losses.WeightedIOULocalizationLoss()

  raise ValueError('Empty loss config.') 
开发者ID:ringringyi,项目名称:DOTA_models,代码行数:33,代码来源:losses_builder.py

示例2: _build_localization_loss

# 需要导入模块: from object_detection.protos import losses_pb2 [as 别名]
# 或者: from object_detection.protos.losses_pb2 import LocalizationLoss [as 别名]
def _build_localization_loss(loss_config):
  """Builds a localization loss based on the loss config.

  Args:
    loss_config: A losses_pb2.LocalizationLoss object.

  Returns:
    Loss based on the config.

  Raises:
    ValueError: On invalid loss_config.
  """
  if not isinstance(loss_config, losses_pb2.LocalizationLoss):
    raise ValueError('loss_config not of type losses_pb2.LocalizationLoss.')

  loss_type = loss_config.WhichOneof('localization_loss')

  if loss_type == 'weighted_l2':
    return losses.WeightedL2LocalizationLoss()

  if loss_type == 'weighted_smooth_l1':
    return losses.WeightedSmoothL1LocalizationLoss(
        loss_config.weighted_smooth_l1.delta)

  if loss_type == 'weighted_iou':
    return losses.WeightedIOULocalizationLoss()

  raise ValueError('Empty loss config.') 
开发者ID:ahmetozlu,项目名称:vehicle_counting_tensorflow,代码行数:30,代码来源:losses_builder.py

示例3: _build_localization_loss

# 需要导入模块: from object_detection.protos import losses_pb2 [as 别名]
# 或者: from object_detection.protos.losses_pb2 import LocalizationLoss [as 别名]
def _build_localization_loss(loss_config):
  """Builds a localization loss based on the loss config.

  Args:
    loss_config: A losses_pb2.LocalizationLoss object.

  Returns:
    Loss based on the config.

  Raises:
    ValueError: On invalid loss_config.
  """
  if not isinstance(loss_config, losses_pb2.LocalizationLoss):
    raise ValueError('loss_config not of type losses_pb2.LocalizationLoss.')

  loss_type = loss_config.WhichOneof('localization_loss')

  if loss_type == 'weighted_l2':
    return losses.WeightedL2LocalizationLoss()

  if loss_type == 'weighted_smooth_l1':
    return losses.WeightedSmoothL1LocalizationLoss()

  if loss_type == 'weighted_iou':
    return losses.WeightedIOULocalizationLoss()

  raise ValueError('Empty loss config.') 
开发者ID:ShreyAmbesh,项目名称:Traffic-Rule-Violation-Detection-System,代码行数:29,代码来源:losses_builder.py

示例4: _build_localization_loss

# 需要导入模块: from object_detection.protos import losses_pb2 [as 别名]
# 或者: from object_detection.protos.losses_pb2 import LocalizationLoss [as 别名]
def _build_localization_loss(loss_config):
  """Builds a localization loss based on the loss config.

  Args:
    loss_config: A losses_pb2.LocalizationLoss object.

  Returns:
    Loss based on the config.

  Raises:
    ValueError: On invalid loss_config.
  """
  if not isinstance(loss_config, losses_pb2.LocalizationLoss):
    raise ValueError('loss_config not of type losses_pb2.LocalizationLoss.')

  loss_type = loss_config.WhichOneof('localization_loss')

  if loss_type == 'weighted_l2':
    return losses.WeightedL2LocalizationLoss()

  if loss_type == 'weighted_smooth_l1':
    return losses.WeightedSmoothL1LocalizationLoss(
        loss_config.weighted_smooth_l1.delta)

  if loss_type == 'weighted_giou':
    return losses.WeightedGIoULocalizationLoss()

  if loss_type == 'weighted_iou':
    return losses.WeightedIOULocalizationLoss()

  raise ValueError('Empty loss config.') 
开发者ID:generalized-iou,项目名称:g-tensorflow-models,代码行数:33,代码来源:losses_builder.py

示例5: _build_localization_loss

# 需要导入模块: from object_detection.protos import losses_pb2 [as 别名]
# 或者: from object_detection.protos.losses_pb2 import LocalizationLoss [as 别名]
def _build_localization_loss(loss_config):
  """Builds a localization loss based on the loss config.

  Args:
    loss_config: A losses_pb2.LocalizationLoss object.

  Returns:
    Loss based on the config.

  Raises:
    ValueError: On invalid loss_config.
  """
  if not isinstance(loss_config, losses_pb2.LocalizationLoss):
    raise ValueError('loss_config not of type losses_pb2.LocalizationLoss.')

  loss_type = loss_config.WhichOneof('localization_loss')

  if loss_type == 'weighted_l2':
    return losses.WeightedL2LocalizationLoss()

  if loss_type == 'weighted_smooth_l1':
    return losses.WeightedSmoothL1LocalizationLoss(
        loss_config.weighted_smooth_l1.delta)

  if loss_type == 'weighted_iou':
    return losses.WeightedIOULocalizationLoss()

  if loss_type == 'l1_localization_loss':
    return losses.L1LocalizationLoss()

  raise ValueError('Empty loss config.') 
开发者ID:tensorflow,项目名称:models,代码行数:33,代码来源:losses_builder.py


注:本文中的object_detection.protos.losses_pb2.LocalizationLoss方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。