[−][src]Trait nshare::ToNdarray2
Converts a 2d type to a ndarray 2d array type.
Coordinates are in (row, col).
This uses an associated type to avoid ambiguity for the compiler. By calling this, the compiler always knows the returned type.
Associated Types
type Out
Required methods
fn to_ndarray2(self) -> Self::Out
Implementations on Foreign Types
impl<A> ToNdarray2 for ImageBuffer<Luma<A>, Vec<A>> where
A: Primitive + 'static,
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A: Primitive + 'static,
use image::GrayImage; use nshare::ToNdarray2; use ndarray::s; let zeros = GrayImage::new(2, 4); let mut nd = zeros.to_ndarray2(); nd.fill(255); // ndarray uses (row, col), so the dims get flipped. assert_eq!(nd.dim(), (4, 2));
type Out = Array2<A>
fn to_ndarray2(self) -> Self::Out
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impl<'a, N: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim> ToNdarray2 for Matrix<N, R, C, SliceStorage<'a, N, R, C, RStride, CStride>>
[src]
use nshare::ToNdarray2; use nalgebra::Matrix4; let m = Matrix4::new( 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, ); let arr = m.row(1).to_ndarray2(); assert!(arr.iter().eq(&[0.5, 0.6, 0.7, 0.8])); assert_eq!(arr.dim(), (1, 4));
type Out = ArrayView2<'a, N>
fn to_ndarray2(self) -> Self::Out
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impl<'a, N: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim> ToNdarray2 for Matrix<N, R, C, SliceStorageMut<'a, N, R, C, RStride, CStride>>
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use nshare::ToNdarray2; use nalgebra::Matrix4; let mut m = Matrix4::new( 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, ); let arr = m.row_mut(1).to_ndarray2().fill(0.0); assert!(m.row(1).iter().eq(&[0.0; 4]));
type Out = ArrayViewMut2<'a, N>
fn to_ndarray2(self) -> Self::Out
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impl<'a, N: Scalar> ToNdarray2 for Matrix<N, Dynamic, Dynamic, VecStorage<N, Dynamic, Dynamic>> where
DefaultAllocator: Allocator<N, Dynamic, Dynamic, Buffer = VecStorage<N, Dynamic, Dynamic>>,
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DefaultAllocator: Allocator<N, Dynamic, Dynamic, Buffer = VecStorage<N, Dynamic, Dynamic>>,
use nshare::ToNdarray2; use nalgebra::{Matrix, dimension::{U4, Dynamic}}; use ndarray::s; let m = Matrix::<f32, Dynamic, Dynamic, _>::from_vec(4, 4, vec![ 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, ]); let arr = m.to_ndarray2(); assert!(arr.slice(s![0, ..]).iter().eq(&[0.1, 0.2, 0.3, 0.4])); assert!(arr.slice(s![.., 0]).iter().eq(&[0.1, 0.5, 1.1, 1.5]));