sknet50

holocron.models.sknet50(pretrained: bool = False, checkpoint: Checkpoint | None = None, progress: bool = True, **kwargs: Any) → ResNet

SKNet-50 from “Selective Kernel Networks”

Parameters:

• pretrained (bool) – If True, returns a model pre-trained on ImageNet

• checkpoint – If specified, the model’s parameters will be set to the checkpoint’s values

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

• kwargs – keyword args of _sknet

Returns:

classification model

Return type:

torch.nn.Module

class holocron.models.SKNet50_Checkpoint(value)

The model builder above accepts the following values as the checkpoint parameter. SKNet50_Checkpoint.DEFAULT is equivalent to SKNet50_Checkpoint.IMAGENETTE

SKNet50_Checkpoint.IMAGENETTE:

Also available as SKNet50_Checkpoint.DEFAULT.

dataset	imagenette
top1-accuracy	0.9437
top5-accuracy	0.9954
url	link
sha256	e2349031c838a466
size	134.7MB
num_params	35.2M
categories	tench, English springer, cassette player, … (7 omitted)
input_shape	(3, 224, 224)
mean	(0.485, 0.456, 0.406)
std	(0.229, 0.224, 0.225)
interpolation	InterpolationMode.BILINEAR
commit	6e32c5b