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segmentation_models_pytorch/losses/jaccard.py
@@ -29,7 +29,6 @@ def __init__(
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log_loss: If True, loss computed as `- log(jaccard_coeff)`, otherwise `1 - jaccard_coeff`
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from_logits: If True, assumes input is raw logits
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smooth: Smoothness constant for dice coefficient
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- ignore_index: Label that indicates ignored pixels (does not contribute to loss)
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eps: A small epsilon for numerical stability to avoid zero division error
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(denominator will be always greater or equal to eps)
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