Skip to content

Latest commit

 

History

History
21 lines (20 loc) · 669 Bytes

README.md

File metadata and controls

21 lines (20 loc) · 669 Bytes

MFFA

Official implementation of RA-L 2021 paper Multi-frame Feature Aggregation for Real-time Instrument Segmentation in Endoscopic Video.

Create the conda environmemt.

  • Creat the conda environment with required packages using the following command:
conda env create -f resources/env.yml

Prepare the data.

  • You could download the dataset from here.
  • Update the datase directory in main.sh.

Run the code

  • Train using the following command:
./train.sh
  • Test using the following command:
./test.sh

You could download the checkpoint from here.