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Online Point Tracking in Ultrasound

This is the official code release for PIPsUS: Self-Supervised Dense Point Tracking in Ultrasound [Paper]

The paper is accepted by The 5th International Workshop of Advances in Simplifying Medical UltraSound (ASMUS) - a workshop held in conjunction with MICCAI 2024!

Requirements

The lines below should set up a fresh environment with everything you need:

conda create -n pips2 python=3.8
conda activate pips2
conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia
pip install -r requirements.txt
pip install SimpleITK

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Acknowledgement

We would like to thanks the authors of PIPs++ and RAFT for open-sourcing their codes and models. This work is built on top of their contribution.

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