[−][src]Struct image::math::nq::NeuQuant
Neural network color quantizer
Methods
impl NeuQuant
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pub fn new(samplefac: i32, colors: usize, pixels: &[u8]) -> Self
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Creates a new neural network and trains it with the supplied data
pub fn init(&mut self, pixels: &[u8])
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Initializes the neural network and trains it with the supplied data
pub fn map_pixel(&self, pixel: &mut [u8])
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Maps the pixel in-place to the best-matching color in the color map
pub fn index_of(&self, pixel: &[u8]) -> usize
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Finds the best-matching index in the color map for pixel
Trait Implementations
Auto Trait Implementations
impl Send for NeuQuant
impl Unpin for NeuQuant
impl Sync for NeuQuant
impl UnwindSafe for NeuQuant
impl RefUnwindSafe for NeuQuant
Blanket Implementations
impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> From<T> for T
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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.
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>,
type Error = <U as TryFrom<T>>::Error
The type returned in the event of a conversion error.
fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>
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impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
fn borrow_mut(&mut self) -> &mut T
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impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,