Efficient Backbones

Efficient backbones is the project which aims to provide efficient SOTA vision backbones based on PyTorch.

Currently following models are supported;

• Resnet
• EfficientNetv2
• Xception
• Ghostnet
• G-Ghost RegNet
• LambdaNet
• HarDNet

NOTE: All models implemented in this project doesn't have head.

Installation

pip install git+https://github.com/ozora-ogino/efficient_backbones

Usage

All model have out_channels attribute in order to access the number of out channels of backbone in the same way.

from efficient_backbones import build_backbone

resnet_backbone = build_backbone("resnet18")
out_channels = resnet_backbone.out_channels