File deepmac_meta_arch.py has 1629 lines of code (exceeds 250 allowed). Consider refactoring.

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"""Deep Mask heads above CenterNet (DeepMAC)[1] architecture.

[1]: https://arxiv.org/abs/2104.00613
"""

Function _get_deepmac_network_by_type has a Cognitive Complexity of 14 (exceeds 5 allowed). Consider refactoring.

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def _get_deepmac_network_by_type(name, num_init_channels, mask_size=None):
  """Get DeepMAC network model given a string type."""

  if name.startswith('hourglass'):
    if name == 'hourglass10':

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Function __init__ has 10 arguments (exceeds 4 allowed). Consider refactoring.

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  def __init__(self,

Function _compute_deepmac_losses has 9 arguments (exceeds 4 allowed). Consider refactoring.

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  def _compute_deepmac_losses(

Function transform_images_and_boxes has 7 arguments (exceeds 4 allowed). Consider refactoring.

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def transform_images_and_boxes(images, boxes, tx, ty, sx, sy, flip):

Function transform_instance_masks has 6 arguments (exceeds 4 allowed). Consider refactoring.

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def transform_instance_masks(instance_masks, tx, ty, sx, sy, flip):

Function _self_supervision_loss has 5 arguments (exceeds 4 allowed). Consider refactoring.

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  def _self_supervision_loss(

Function predict_masks_from_boxes has 5 arguments (exceeds 4 allowed). Consider refactoring.

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  def predict_masks_from_boxes(self, prediction_dict, true_image_shapes,

Function _aggregate_classification_loss has 5 arguments (exceeds 4 allowed). Consider refactoring.

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  def _aggregate_classification_loss(self, loss, gt, pred, method):

Function _transform_boxes_to_feature_coordinates has 5 arguments (exceeds 4 allowed). Consider refactoring.

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  def _transform_boxes_to_feature_coordinates(self, provided_boxes,

Function __init__ has 5 arguments (exceeds 4 allowed). Consider refactoring.

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  def __init__(self, network_type, num_init_channels=64,

Function _compute_mask_prediction_loss has 5 arguments (exceeds 4 allowed). Consider refactoring.

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  def _compute_mask_prediction_loss(

Function subsample_instances has 5 arguments (exceeds 4 allowed). Consider refactoring.

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def subsample_instances(classes, weights, boxes, masks, num_subsamples):

Function __init__ has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring.

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  def __init__(self, resnet_type, num_init_channels):
    """Creates the ResNet mask network.

    Args:
      resnet_type: A string of the for resnetN where N where N is in

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    return ResNetMaskNetwork(name, num_init_channels)

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      return hourglass_network.hourglass_20_no_shortcut(num_init_channels)

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    return tf.keras.layers.Lambda(lambda x: x)

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    return config.pointly_supervised_keypoint_loss_weight

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      return hourglass_network.hourglass_20_uniform_size(num_init_channels)

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      return hourglass_network.hourglass_100(num_init_channels,

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    return FullyConnectedMaskHead(num_init_channels, mask_size)

Function _get_loss_weight has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.

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def _get_loss_weight(loss_name, config):
  """Utility function to get loss weights by name."""
  if loss_name == DEEP_MASK_ESTIMATION:
    return config.task_loss_weight
  elif loss_name == DEEP_MASK_FEATURE_CONSISTENCY:

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