[−][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 for T
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impl<T, U> Into for T where
U: From<T>,
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U: From<T>,
impl<T, U> TryFrom for T where
U: Into<T>,
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U: Into<T>,
type Error = !
🔬 This is a nightly-only experimental API. (
try_from
)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> Borrow 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,
fn get_type_id(&self) -> TypeId
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impl<T, U> TryInto for T where
U: TryFrom<T>,
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U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
🔬 This is a nightly-only experimental API. (
try_from
)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 for T where
T: ?Sized,
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T: ?Sized,