repvgg_a0#

holocron.models.repvgg_a0(pretrained: bool = False, checkpoint: Checkpoint | None = None, progress: bool = True, **kwargs: Any) → RepVGG[source]#

RepVGG-A0 from “RepVGG: Making VGG-style ConvNets Great Again”

Parameters:

  • pretrained – If True, returns a model pre-trained on ImageNette

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

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

  • kwargs – keyword args of _repvgg

Returns:

classification model

Return type:

torch.nn.Module

class holocron.models.RepVGG_A0_Checkpoint(value)[source]#

The model builder above accepts the following values as the checkpoint parameter. RepVGG_A0_Checkpoint.DEFAULT is equivalent to RepVGG_A0_Checkpoint.IMAGENETTE

RepVGG_A0_Checkpoint.IMAGENETTE:

Also available as RepVGG_A0_Checkpoint.DEFAULT.

dataset

imagenette

top1-accuracy

0.9292

top5-accuracy

0.9946

url

link

sha256

d3f54b28567fcd7e

size

94.6MB

num_params

24.7M

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

d4a5999