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SEED

  • This repository contains the source codes for the paper "SEED: Self-Error Estimation and Dual Refinement Plug-in for High-Quality Instance Segmentation".
  • Implementation of SEED based on Detectron2

Installation

Install Detectron2 first, then install this repo & required packages like below.

pip install -e .
pip install --upgrade "protobuf<=3.20.1" 
pip install torch_dct
pip install monai==1.0.0
pip install opencv-python 
pip install setuptools==59.5.0
pip install fvcore

RUN

Setting datasets with detectron2 format and then run bash files below.

sh bash/train.sh
sh bash/eval.sh

License

Detectron2 is released under the Apache 2.0 license.

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