darknet53#

holocron.models.darknet53(pretrained: bool = False, checkpoint: Checkpoint | None = None, progress: bool = True, **kwargs: Any) → DarknetV3[source]#

Darknet-53 from “YOLOv3: An Incremental Improvement”

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 _darknet

Returns:

classification model

Return type:

torch.nn.Module

class holocron.models.Darknet53_Checkpoint(value)[source]#

The model builder above accepts the following values as the checkpoint parameter. Darknet53_Checkpoint.DEFAULT is equivalent to Darknet53_Checkpoint.IMAGENETTE

Darknet53_Checkpoint.IMAGENETTE:

Also available as Darknet53_Checkpoint.DEFAULT.

dataset

imagenette

top1-accuracy

0.9417

top5-accuracy

0.9957

url

link

sha256

5015f3fdf0963342

size

155.1MB

num_params

40.6M

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