Struct rerun::components::TensorData

#[repr(transparent)]
pub struct TensorData(pub TensorData);

Component: A multi-dimensional Tensor with optionally named arguments.

Tuple Fields

0: TensorData

Methods from Deref<Target = TensorData>

pub fn shape(&self) -> &[TensorDimension]

pub fn shape_short(&self) -> &[TensorDimension]

Returns the shape of the tensor with all trailing dimensions of size 1 ignored.

If all dimension sizes are one, this returns only the first dimension.

pub fn num_dim(&self) -> usize

pub fn image_height_width_channels(&self) -> Option<[u64; 3]>

If the tensor can be interpreted as an image, return the height, width, and channels/depth of it.

pub fn is_shaped_like_an_image(&self) -> bool

Returns true if the tensor can be interpreted as an image.

pub fn is_vector(&self) -> bool

Returns true if either all dimensions have size 1 or only a single dimension has a size larger than 1.

Empty tensors return false.

pub fn get_with_image_coords( &self, x: u64, y: u64, channel: u64 ) -> Option<TensorElement>

Query with x, y, channel indices.

Allows to query values for any image like tensor even if it has more or less dimensions than 3. (useful for sampling e.g. N x M x C x 1 tensor which is a valid image)

pub fn get(&self, index: &[u64]) -> Option<TensorElement>

pub fn get_nv12_pixel(&self, x: u64, y: u64) -> Option<[TensorElement; 3]>

Returns decoded RGB8 value at the given image coordinates if this tensor is a valid NV12 image.

pub fn dtype(&self) -> TensorDataType

pub fn size_in_bytes(&self) -> usize

pub fn could_be_dynamic_image(&self) -> bool

Predicts if Self::to_dynamic_image is likely to succeed, without doing anything expensive

pub fn to_dynamic_image(&self) -> Result<DynamicImage, TensorImageSaveError>

Try to convert an image-like tensor into an image::DynamicImage.

Trait Implementations

impl Borrow<TensorData> for TensorData

fn borrow(&self) -> &TensorData

Immutably borrows from an owned value.

impl Clone for TensorData

fn clone(&self) -> TensorData

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TensorData

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

Formats the value using the given formatter.

impl Deref for TensorData

type Target = TensorData

The resulting type after dereferencing.

fn deref(&self) -> &TensorData

Dereferences the value.

impl EntityDataUi for TensorData

fn entity_data_ui( &self, ctx: &mut ViewerContext<'_>, ui: &mut Ui, verbosity: UiVerbosity, entity_path: &EntityPath, query: &LatestAtQuery )

If you need to lookup something in the data store, use the given query to do so.

impl<T> From<T> for TensorDatawhere T: Into<TensorData>,

fn from(v: T) -> TensorData

Converts to this type from the input type.

impl Loggable for TensorData

type Name = ComponentName

fn name() -> <TensorData as Loggable>::Name

The fully-qualified name of this loggable, e.g. rerun.datatypes.Vec2D.

fn arrow_datatype() -> DataType

The underlying arrow2::datatypes::DataType, excluding datatype extensions.

fn to_arrow_opt<'a>( data: impl IntoIterator<Item = Option<impl Into<Cow<'a, TensorData>>>> ) -> Result<Box<dyn Array>, SerializationError>where TensorData: Clone + 'a,

Given an iterator of options of owned or reference values to the current Loggable, serializes them into an Arrow array. The Arrow array’s datatype will match Loggable::arrow_field.

fn from_arrow_opt( arrow_data: &(dyn Array + 'static) ) -> Result<Vec<Option<TensorData>>, DeserializationError>where TensorData: Sized,

Given an Arrow array, deserializes it into a collection of optional Loggables.

fn extended_arrow_datatype() -> DataType

The underlying arrow2::datatypes::DataType, including datatype extensions.

fn arrow_field() -> Field

The underlying arrow2::datatypes::Field, including datatype extensions.

fn to_arrow<'a>( data: impl IntoIterator<Item = impl Into<Cow<'a, Self>>> ) -> Result<Box<dyn Array>, SerializationError>where Self: 'a,

Given an iterator of owned or reference values to the current Loggable, serializes them into an Arrow array. The Arrow array’s datatype will match Loggable::arrow_field.

fn from_arrow( data: &(dyn Array + 'static) ) -> Result<Vec<Self>, DeserializationError>

Given an Arrow array, deserializes it into a collection of Loggables.

impl PartialEq for TensorData

fn eq(&self, other: &TensorData) -> 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 StructuralPartialEq for TensorData