Struct PreprocessingBlock

• Defined in File PreprocessingBlock.hpp

Struct Documentation

struct PreprocessingBlock

Preprocessing steps applied to the input data.

Represents preprocessing operations applied to the input data.

@type mean: list | None @ivar mean: Mean values in channel order. Order depends on the order in which the model was trained on. @type scale: list | None @ivar scale: Standardization values in channel order. Order depends on the order in which the model was trained on. @type reverse_channels: bool | None @ivar reverse_channels: If True input to the model is RGB else BGR. @type interleaved_to_planar: bool | None @ivar interleaved_to_planar: If True input to the model is interleaved (NHWC) else planar (NCHW). @type dai_type: str | None @ivar dai_type: DepthAI input type which is read by DepthAI to automatically setup the pipeline. Preprocessing steps applied to the input data.

Represents preprocessing operations applied to the input data.

@type mean: list | None @ivar mean: Mean values in channel order. Order depends on the order in which the model was trained on. @type scale: list | None @ivar scale: Standardization values in channel order. Order depends on the order in which the model was trained on. @type reverse_channels: bool | None @ivar reverse_channels: If True input to the model is RGB else BGR. @type interleaved_to_planar: bool | None @ivar interleaved_to_planar: If True input to the model is interleaved (NHWC) else planar (NCHW). @type dai_type: str | None @ivar dai_type: DepthAI input type which is read by DepthAI to automatically setup the pipeline.

Public Members

std::optional<std::string> daiType

DepthAI input type which is read by DepthAI to automatically setup the pipeline.

std::optional<bool> interleavedToPlanar

If True input to the model is interleaved (NHWC) else planar (NCHW).

std::optional<std::vector<double>> mean

Mean values in channel order. Order depends on the order in which the model was trained on.

std::optional<bool> reverseChannels

If True input to the model is RGB else BGR.

std::optional<std::vector<double>> scale

Standardization values in channel order. Order depends on the order in which the model was trained on.