MSELoss

The root mean square refers to the average of the square of the distance between the model's predicted value and the sample's true value.

class paddleseg.models.losses.MSELoss(
            reduction = 'mean',
            ignore_index = 255
)

Mean square error loss usage guidances

reduction (string, optional): The reduction method for the output, could be 'none' | 'mean' | 'sum'.
- If reduction is 'none', the unreduced loss is returned.
- If reduction is 'mean', the reduced mean loss is returned.
- If reduction is 'sum', the reduced sum loss is returned.
- Default:'mean'
ignore_index (int, optional): Specify a pixel value to be ignored in the annotated image and does not contribute to the input gradient.When there are pixels that cannot be marked (or difficult to be marked) in the marked image, they can be marked as a specific gray value. When calculating the loss value, the pixel corresponding to the original image will not be used as the independent variable of the loss function. Default:255