gausplat_trainer::metric::psnr

Struct Psnr

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pub struct Psnr<B: Backend> {
    pub coefficient: Tensor<B, 1>,
    pub mse: MeanSquareError,
}
Expand description

Computing the peak signal-to-noise ratio (PSNR) between the inputs:

10 * log10(1 / MSE) = -10 / log(10) * log(MSE)

§Details

It relies on MSE.

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§coefficient: Tensor<B, 1>

Coefficient for PSNR.

§mse: MeanSquareError

Inner metric.

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impl<B: Backend> Psnr<B>

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pub fn init(device: &B::Device) -> Self

Initialize the metric.

Trait Implementations§

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impl<B: Clone + Backend> Clone for Psnr<B>

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fn clone(&self) -> Psnr<B>

Returns a copy of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl<B: Debug + Backend> Debug for Psnr<B>

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl<B: Backend> Default for Psnr<B>

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fn default() -> Self

Returns the “default value” for a type. Read more
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impl<B: Backend> Metric<B> for Psnr<B>

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fn evaluate<const D: usize>( &self, value: Tensor<B, D>, target: Tensor<B, D>, ) -> Tensor<B, 1>

§Returns

The peak signal-to-noise ratio (PSNR) with shape [1].

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more
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Immutably borrows from an owned value. Read more
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unsafe fn clone_to_uninit(&self, dst: *mut T)

🔬This is a nightly-only experimental API. (clone_to_uninit)
Performs copy-assignment from self to dst. Read more
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where U: From<T>,

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Calls U::from(self).

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const ALIGN: usize = _

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unsafe fn init(init: <T as Pointable>::Init) -> usize

Initializes a with the given initializer. Read more
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Performs the conversion.
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type Error = <U as TryFrom<T>>::Error

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Performs the conversion.
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