rexnet2_2x#

holocron.models.rexnet2_2x(pretrained: bool = False, checkpoint: Checkpoint | None = None, progress: bool = True, **kwargs: Any) → ReXNet[source]#

ReXNet-2.2x from “ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network”

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 _rexnet

Returns:

classification model

Return type:

torch.nn.Module

class holocron.models.ReXNet2_2x_Checkpoint(value)[source]#

The model builder above accepts the following values as the checkpoint parameter. ReXNet2_2x_Checkpoint.DEFAULT is equivalent to ReXNet2_2x_Checkpoint.IMAGENETTE

ReXNet2_2x_Checkpoint.IMAGENETTE:

Also available as ReXNet2_2x_Checkpoint.DEFAULT.

dataset

imagenette

top1-accuracy

0.9544

top5-accuracy

0.9946

url

link

sha256

b23b28475329e413

size

64.1MB

num_params

16.7M

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