lraspp_mobilenet_v3_large

torchvision.models.segmentation.lraspp_mobilenet_v3_large(*, weights: Optional[LRASPP_MobileNet_V3_Large_Weights] = None, progress: bool = True, num_classes: Optional[int] = None, weights_backbone: Optional[MobileNet_V3_Large_Weights] = MobileNet_V3_Large_Weights.IMAGENET1K_V1, **kwargs: Any) → LRASPP

Constructs a Lite R-ASPP Network model with a MobileNetV3-Large backbone from Searching for MobileNetV3 paper.

Warning

The segmentation module is in Beta stage, and backward compatibility is not guaranteed.

Parameters:

• weights (LRASPP_MobileNet_V3_Large_Weights, optional) – The pretrained weights to use. See LRASPP_MobileNet_V3_Large_Weights below for more details, and possible values. By default, no pre-trained weights are used.

• progress (bool, optional) – If True, displays a progress bar of the download to stderr. Default is True.

• num_classes (int, optional) – number of output classes of the model (including the background).

• aux_loss (bool, optional) – If True, it uses an auxiliary loss.

• weights_backbone (MobileNet_V3_Large_Weights, optional) – The pretrained weights for the backbone.

• **kwargs – parameters passed to the torchvision.models.segmentation.LRASPP base class. Please refer to the source code for more details about this class.

class torchvision.models.segmentation.LRASPP_MobileNet_V3_Large_Weights(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)