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paddleseg.models.losses

LovaszSoftmaxLoss

CLASS paddleseg.models.losses.LovaszSoftmaxLoss(ignore_index=255, classes='present')

Multi-class Lovasz-Softmax loss.

Args

  • ignore_index (int64): Specifies a target value that is ignored and does not contribute to the input gradient. Default 255.
  • classes (str|list): 'all' for all, 'present' for classes present in labels, or a list of classes to average.

LovaszHingeLoss

CLASS paddleseg.models.losses.LovaszHingeLoss(ignore_index=255)

Binary Lovasz hinge loss.

Args

  • ignore_index (int64): Specifies a target value that is ignored and does not contribute to the input gradient. Default 255.

MixedLoss

CLASS paddleseg.models.losses.MixedLoss(losses, coef)

Weighted computations for multiple Loss.
The advantage is that mixed loss training can be achieved without changing the networking code.

Args

  • losses (list of nn.Layer): A list consisting of multiple loss classes
  • coef (float|int): Weighting coefficient of multiple loss

Returns

  • A callable object of MixedLoss.