[−][src]Struct nnnoiseless::DenoiseState
This is the main entry-point into nnnoiseless
. It mainly contains the various memory buffers
that are used while denoising. As such, this is quite a large struct, and should probably be
kept behind some kind of pointer.
Example
// One second of 440Hz sine wave at 48kHz sample rate. Note that the input data consists of // `f32`s, but the values should be in the range of an `i16`. let sine: Vec<_> = (0..48_000) .map(|x| (x as f32 * 440.0 * 2.0 * std::f32::consts::PI / 48_000.0).sin() * i16::MAX as f32) .collect(); let mut output = Vec::new(); let mut out_buf = [0.0; DenoiseState::FRAME_SIZE]; let mut denoise = DenoiseState::new(); let mut first = true; for chunk in sine.chunks_exact(DenoiseState::FRAME_SIZE) { denoise.process_frame(&mut out_buf[..], chunk); // We throw away the first output, as discussed in the documentation for //`DenoiseState::process_frame`. if !first { output.extend_from_slice(&out_buf[..]); } first = false; }
Implementations
impl DenoiseState<'static>
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pub const FRAME_SIZE: usize
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A DenoiseState
processes this many samples at a time.
pub fn new() -> Box<DenoiseState<'static>>
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Creates a new DenoiseState
.
pub fn from_model(model: RnnModel) -> Box<DenoiseState<'static>>
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Creates a new DenoiseState
owning a custom model.
The main difference between this method and DenoiseState::with_model
is that here
DenoiseState
will own the model; this might be more convenient.
impl<'model> DenoiseState<'model>
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pub fn with_model(model: &'model RnnModel) -> Box<DenoiseState<'model>>
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Creates a new DenoiseState
using a custom model.
The main difference between this method and DenoiseState::from_model
is that here
DenoiseState
will borrow the model; this might create some lifetime-related pain, but
it means that the same model can be shared between multiple DenoiseState
s.
pub fn process_frame(&mut self, output: &mut [f32], input: &[f32]) -> f32
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Processes a chunk of samples.
Both output
and input
should be slices of length DenoiseState::FRAME_SIZE
, and they
are assumed to be in 16-bit, 48kHz signed PCM format. Note that although the input and
output are f32
s, they are supposed to come from 16-bit integers. In particular, they
should be in the range [-32768.0, 32767.0]
instead of the range [-1.0, 1.0]
which
is more common for floating-point PCM.
The current output of process_frame
depends on the current input, but also on the
preceding inputs. Because of this, you might prefer to discard the very first output; it
will contain some fade-in artifacts.
Trait Implementations
impl<'model> Clone for DenoiseState<'model>
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pub fn clone(&self) -> DenoiseState<'model>
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pub fn clone_from(&mut self, source: &Self)
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Auto Trait Implementations
impl<'model> !RefUnwindSafe for DenoiseState<'model>
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impl<'model> Send for DenoiseState<'model>
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impl<'model> Sync for DenoiseState<'model>
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impl<'model> Unpin for DenoiseState<'model>
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impl<'model> !UnwindSafe for DenoiseState<'model>
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Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<S, T> Duplex<S> for T where
T: FromSample<S> + ToSample<S>,
T: FromSample<S> + ToSample<S>,
impl<T> From<T> for T
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impl<S> FromSample<S> for S
pub fn from_sample_(s: S) -> S
impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
pub fn to_owned(&self) -> T
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pub fn clone_into(&self, target: &mut T)
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impl<T, U> ToSample<U> for T where
U: FromSample<T>,
U: FromSample<T>,
pub fn to_sample_(self) -> U
impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,