def __new__(cls, classification_loss, task_loss_weight=1.0, mask_height=256, mask_width=256, score_threshold=0.5, heatmap_bias_init=(- 2.19)):
    'Constructor with default values for MaskParams.\n\n    Args:\n      classification_loss: an object_detection.core.losses.Loss object to\n        compute the loss for the semantic segmentation predictions in CenterNet.\n      task_loss_weight: float, The loss weight for the segmentation task.\n      mask_height: The height of the resized instance segmentation mask.\n      mask_width: The width of the resized instance segmentation mask.\n      score_threshold: The threshold at which to convert predicted mask\n        probabilities (after passing through sigmoid) into foreground pixels.\n      heatmap_bias_init: float, the initial value of bias in the convolutional\n        kernel of the semantic segmentation prediction head. If set to None, the\n        bias is initialized with zeros.\n\n    Returns:\n      An initialized MaskParams namedtuple.\n    '
    return super(MaskParams, cls).__new__(cls, classification_loss, task_loss_weight, mask_height, mask_width, score_threshold, heatmap_bias_init)
Constructor with default values for MaskParams.

Args:
  classification_loss: an object_detection.core.losses.Loss object to
    compute the loss for the semantic segmentation predictions in CenterNet.
  task_loss_weight: float, The loss weight for the segmentation task.
  mask_height: The height of the resized instance segmentation mask.
  mask_width: The width of the resized instance segmentation mask.
  score_threshold: The threshold at which to convert predicted mask
    probabilities (after passing through sigmoid) into foreground pixels.
  heatmap_bias_init: float, the initial value of bias in the convolutional
    kernel of the semantic segmentation prediction head. If set to None, the
    bias is initialized with zeros.

Returns:
  An initialized MaskParams namedtuple.
def __new__(cls, classification_loss, task_loss_weight=1.0, mask_height=256, mask_width=256, score_threshold=0.5, heatmap_bias_init=(- 2.19)):
    'Constructor with default values for MaskParams.\n\n    Args:\n      classification_loss: an object_detection.core.losses.Loss object to\n        compute the loss for the semantic segmentation predictions in CenterNet.\n      task_loss_weight: float, The loss weight for the segmentation task.\n      mask_height: The height of the resized instance segmentation mask.\n      mask_width: The width of the resized instance segmentation mask.\n      score_threshold: The threshold at which to convert predicted mask\n        probabilities (after passing through sigmoid) into foreground pixels.\n      heatmap_bias_init: float, the initial value of bias in the convolutional\n        kernel of the semantic segmentation prediction head. If set to None, the\n        bias is initialized with zeros.\n\n    Returns:\n      An initialized MaskParams namedtuple.\n    '
    return super(MaskParams, cls).__new__(cls, classification_loss, task_loss_weight, mask_height, mask_width, score_threshold, heatmap_bias_init)