MaskedSmoothL1Loss¶

class mmocr.models.common.MaskedSmoothL1Loss(beta=1, eps=1e-06)[source]¶

Masked Smooth L1 loss.

Parameters

beta (float, optional) – The threshold in the piecewise function. Defaults to 1.
eps (float, optional) – Eps to avoid zero-division error. Defaults to 1e-6.

Return type

None

forward(pred, gt, mask=None)[source]¶

Forward function.

Parameters

pred (torch.Tensor) – The prediction in any shape.
gt (torch.Tensor) – The learning target of the prediction in the same shape as pred.
mask (torch.Tensor, optional) – Binary mask in the same shape of pred, indicating positive regions to calculate the loss. Whole region will be taken into account if not provided. Defaults to None.

Returns

The loss value.

Return type

torch.Tensor