Python object_detection.protos.losses_pb2.LocalizationLoss() Examples

The following are 30 code examples of object_detection.protos.losses_pb2.LocalizationLoss(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module object_detection.protos.losses_pb2 , or try the search function .
Example #1
Source File: losses_builder.py    From hands-detection with MIT License 5 votes vote down vote up 
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.')
Example #2
Source File: losses_builder.py    From multilabel-image-classification-tensorflow with MIT License 5 votes vote down vote up 
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.')
Example #3
Source File: losses_builder.py    From mtl-ssl with Apache License 2.0 5 votes vote down vote up 
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.')
Example #4
Source File: losses_builder.py    From motion-rcnn with MIT License 5 votes vote down vote up 
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.')
Example #5
Source File: losses_builder.py    From models with Apache License 2.0 5 votes vote down vote up 
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.')
Example #6
Source File: losses_builder.py    From g-tensorflow-models with Apache License 2.0 5 votes vote down vote up 
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.')
Example #7
Source File: losses_builder.py    From MAX-Object-Detector with Apache License 2.0 5 votes vote down vote up 
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.')
Example #8
Source File: losses_builder.py    From AniSeg with Apache License 2.0 5 votes vote down vote up 
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.')
Example #9
Source File: losses_builder.py    From object_detection_with_tensorflow with MIT License 5 votes vote down vote up 
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.')
Example #10
Source File: losses_builder.py    From object_detection_with_tensorflow with MIT License 5 votes vote down vote up 
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.')
Example #11
Source File: losses_builder.py    From Elphas with Apache License 2.0 5 votes vote down vote up 
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.')
Example #12
Source File: losses_builder.py    From MBMD with MIT License 5 votes vote down vote up 
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.')
Example #13
Source File: losses_builder.py    From object_detection_kitti with Apache License 2.0 5 votes vote down vote up 
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.')
Example #14
Source File: losses_builder.py    From Live-feed-object-device-identification-using-Tensorflow-and-OpenCV with Apache License 2.0 5 votes vote down vote up 
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.')
Example #15
Source File: losses_builder.py    From Live-feed-object-device-identification-using-Tensorflow-and-OpenCV with Apache License 2.0 5 votes vote down vote up 
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.')
Example #16
Source File: losses_builder.py    From DOTA_models with Apache License 2.0 5 votes vote down vote up 
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.')
Example #17
Source File: losses_builder.py    From moveo_ros with MIT License 5 votes vote down vote up 
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.')
Example #18
Source File: losses_builder.py    From BMW-TensorFlow-Training-GUI with Apache License 2.0 5 votes vote down vote up 
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.')
Example #19
Source File: losses_builder.py    From ros_tensorflow with Apache License 2.0 5 votes vote down vote up 
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.')
Example #20
Source File: losses_builder.py    From Gun-Detector with Apache License 2.0 5 votes vote down vote up 
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.')
Example #21
Source File: losses_builder.py    From tensorflow with BSD 2-Clause "Simplified" License 5 votes vote down vote up 
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.')
Example #22
Source File: losses_builder.py    From Hands-On-Machine-Learning-with-OpenCV-4 with MIT License 5 votes vote down vote up 
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.')
Example #23
Source File: losses_builder.py    From Traffic-Rule-Violation-Detection-System with MIT License 5 votes vote down vote up 
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.')
Example #24
Source File: losses_builder.py    From yolo_v2 with Apache License 2.0 5 votes vote down vote up 
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.')
Example #25
Source File: losses_builder.py    From HereIsWally with MIT License 5 votes vote down vote up 
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.')
Example #26
Source File: losses_builder.py    From garbage-object-detection-tensorflow with MIT License 5 votes vote down vote up 
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.')
Example #27
Source File: losses_builder.py    From Person-Detection-and-Tracking with MIT License 5 votes vote down vote up 
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.')
Example #28
Source File: losses_builder.py    From ros_people_object_detection_tensorflow with Apache License 2.0 5 votes vote down vote up 
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.')
Example #29
Source File: losses_builder.py    From vehicle_counting_tensorflow with MIT License 5 votes vote down vote up 
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.')
Example #30
Source File: losses_builder.py    From object_detector_app with MIT License 5 votes vote down vote up 
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.')