torch_backbones

• Unofficial implementations of some classical backbone CNNs with pytorch

• This is pretty much just a practising project. If you want to do some research, I strongly recommend using officially issued models in torchvision.

• Requirements：

  · torch，torch-vision

  · torchsummary

  · mlflow

  · onnx onnnruntime

  · openvino

• A training script is supplied in “train.py”，the arguments are in “utils/args.yml".

• new features：

  1. mlflow traning track. You need a mlflow server, and to intall mlflow on you training server.
  2. onnx inference.
  3. openvino inference.

  N.B. If you don't want these features, pelease check release branch v1.0.0.