Enum opencv::dnn::DataLayout

#[repr(C)]
pub enum DataLayout {
    DNN_LAYOUT_UNKNOWN = 0,
    DNN_LAYOUT_ND = 1,
    DNN_LAYOUT_NCHW = 2,
    DNN_LAYOUT_NCDHW = 3,
    DNN_LAYOUT_NHWC = 4,
    DNN_LAYOUT_NDHWC = 5,
    DNN_LAYOUT_PLANAR = 6,
}

Enum of data layout for model inference.

See also

Image2BlobParams

Variants

DNN_LAYOUT_UNKNOWN = 0

DNN_LAYOUT_ND = 1

OpenCV data layout for 2D data.

DNN_LAYOUT_NCHW = 2

OpenCV data layout for 4D data.

DNN_LAYOUT_NCDHW = 3

OpenCV data layout for 5D data.

DNN_LAYOUT_NHWC = 4

Tensorflow-like data layout for 4D data.

DNN_LAYOUT_NDHWC = 5

Tensorflow-like data layout for 5D data.

DNN_LAYOUT_PLANAR = 6

Tensorflow-like data layout, it should only be used at tf or tflite model parsing.

Trait Implementations

impl Clone for DataLayout

fn clone(&self) -> DataLayout

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DataLayout

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

Formats the value using the given formatter.

impl PartialEq for DataLayout

fn eq(&self, other: &DataLayout) -> 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 Copy for DataLayout

impl Eq for DataLayout

impl StructuralEq for DataLayout

impl StructuralPartialEq for DataLayout