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2.2 KiB
Backbone
A backbone is a model used for feature extraction for higher level computer vision tasks such as object detection and image classification. Transformers provides an [AutoBackbone] class for initializing a Transformers backbone from pretrained model weights, and two utility classes:
- [
~backbone_utils.BackboneMixin] enables initializing a backbone from Transformers or timm and includes functions for returning the output features and indices. - [
~backbone_utils.BackboneConfigMixin] sets the output features and indices of the backbone configuration.
timm models are loaded with the [TimmBackbone] and [TimmBackboneConfig] classes.
Backbones are supported for the following models:
- BEiT
- BiT
- ConvNext
- ConvNextV2
- DiNAT
- DINOV2
- FocalNet
- MaskFormer
- NAT
- ResNet
- Swin Transformer
- Swin Transformer v2
- ViTDet
AutoBackbone
autodoc AutoBackbone
BackboneMixin
autodoc backbone_utils.BackboneMixin
BackboneConfigMixin
autodoc backbone_utils.BackboneConfigMixin
TimmBackbone
autodoc models.timm_backbone.TimmBackbone
TimmBackboneConfig
autodoc models.timm_backbone.TimmBackboneConfig