model.nets.multimodal_yolo.MultimodalYolo

model.nets.multimodal_yolo.MultimodalYolo#

class MultimodalYolo(model: str, *args, **kwargs)[source]#

Bases: Detector

Generates a model similar to yolo8, adapted for multimodal input

This class provides a network architecture that processes both static images (via a dedicated ANN branch) and event-based data, allowing for flexible and efficient multimodal fusion.

Parameters:

model (str) – model type - n, s, m, l, x

Raises:

KeyError – Invalid model type.

Methods

get_cfgs

image_cfgs

image_forward

Processes a static image

Attributes

training

get_cfgs() → List[LayerGen][source]#
image_cfgs() → List[LayerGen][source]#
image_forward(image: Tensor) → None[source]#

Processes a static image

Contents