[−][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
Blanket Implementations
impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
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,