Struct rerun::SegmentationImage

pub struct SegmentationImage {
    pub data: TensorData,
    pub draw_order: Option<DrawOrder>,
}

Archetype: An image made up of integer class-ids.

The shape of the TensorData must be mappable to an HxW tensor. Each pixel corresponds to a class-id that will be mapped to a color based on annotation context.

In the case of floating point images, the label will be looked up based on rounding to the nearest integer value.

Leading and trailing unit-dimensions are ignored, so that 1x640x480x1 is treated as a 640x480 image.

See also AnnotationContext to associate each class with a color and a label.

Example

Simple segmentation image

use ndarray::{s, Array, ShapeBuilder};

fn main() -> Result<(), Box<dyn std::error::Error>> {
    let rec = rerun::RecordingStreamBuilder::new("rerun_example_segmentation_image").spawn()?;

    // create a segmentation image
    let mut image = Array::<u8, _>::zeros((8, 12).f());
    image.slice_mut(s![0..4, 0..6]).fill(1);
    image.slice_mut(s![4..8, 6..12]).fill(2);

    // create an annotation context to describe the classes
    let annotation = rerun::AnnotationContext::new([
        (1, "red", rerun::Rgba32::from_rgb(255, 0, 0)),
        (2, "green", rerun::Rgba32::from_rgb(0, 255, 0)),
    ]);

    // log the annotation and the image
    rec.log_static("/", &annotation)?;

    rec.log("image", &rerun::SegmentationImage::try_from(image)?)?;

    Ok(())
}

Fields

data: TensorData

The image data. Should always be a rank-2 tensor.

draw_order: Option<DrawOrder>

An optional floating point value that specifies the 2D drawing order.

Objects with higher values are drawn on top of those with lower values.

Implementations

impl SegmentationImage

pub const NUM_COMPONENTS: usize = 3usize

The total number of components in the archetype: 1 required, 1 recommended, 1 optional

impl SegmentationImage

pub fn new(data: impl Into<TensorData>) -> SegmentationImage

Create a new SegmentationImage.

pub fn with_draw_order( self, draw_order: impl Into<DrawOrder> ) -> SegmentationImage

An optional floating point value that specifies the 2D drawing order.

Objects with higher values are drawn on top of those with lower values.

impl SegmentationImage

pub fn try_from<T>( data: T ) -> Result<SegmentationImage, ImageConstructionError<T>>

where T: TryInto<TensorData>, <T as TryInto<TensorData>>::Error: Error,

Try to construct a SegmentationImage from anything that can be converted into TensorData

Will return an ImageConstructionError if the shape of the tensor data is invalid for treating as an image.

This is useful for constructing an SegmentationImage from an ndarray.

Trait Implementations

impl Archetype for SegmentationImage

type Indicator = GenericIndicatorComponent<SegmentationImage>

The associated indicator component, whose presence indicates that the high-level archetype-based APIs were used to log the data.

fn name() -> ArchetypeName

The fully-qualified name of this archetype, e.g. rerun.archetypes.Points2D.

fn indicator() -> MaybeOwnedComponentBatch<'static>

Creates a ComponentBatch out of the associated Self::Indicator component.

fn required_components() -> Cow<'static, [ComponentName]>

Returns the names of all components that must be provided by the user when constructing this archetype.

fn recommended_components() -> Cow<'static, [ComponentName]>

Returns the names of all components that should be provided by the user when constructing this archetype.

fn optional_components() -> Cow<'static, [ComponentName]>

Returns the names of all components that may be provided by the user when constructing this archetype.

fn all_components() -> Cow<'static, [ComponentName]>

Returns the names of all components that must, should and may be provided by the user when constructing this archetype.

fn from_arrow_components( arrow_data: impl IntoIterator<Item = (ComponentName, Box<dyn Array>)> ) -> Result<SegmentationImage, DeserializationError>

Given an iterator of Arrow arrays and their respective ComponentNames, deserializes them into this archetype.

fn from_arrow( data: impl IntoIterator<Item = (Field, Box<dyn Array>)> ) -> Result<Self, DeserializationError>

where Self: Sized,

Given an iterator of Arrow arrays and their respective field metadata, deserializes them into this archetype.

impl AsComponents for SegmentationImage

fn as_component_batches(&self) -> Vec<MaybeOwnedComponentBatch<'_>>

Exposes the object’s contents as a set of ComponentBatchs.

fn to_arrow(&self) -> Result<Vec<(Field, Box<dyn Array>)>, SerializationError>

Serializes all non-null Components of this bundle into Arrow arrays.

impl Clone for SegmentationImage

fn clone(&self) -> SegmentationImage

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for SegmentationImage

fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter.

impl PartialEq for SegmentationImage

fn eq(&self, other: &SegmentationImage) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl SizeBytes for SegmentationImage

fn heap_size_bytes(&self) -> u64

Returns the total size of self on the heap, in bytes.

fn is_pod() -> bool

Is Self just plain old data?

fn total_size_bytes(&self) -> u64

Returns the total size of self in bytes, accounting for both stack and heap space.

fn stack_size_bytes(&self) -> u64

Returns the total size of self on the stack, in bytes.

impl ToArchetype<SegmentationImage> for LatestAtResults

fn to_archetype( &self, resolver: &PromiseResolver ) -> PromiseResult<Result<SegmentationImage, QueryError>>

Converts the result into an re_types_core::Archetype.

impl StructuralPartialEq for SegmentationImage