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PrDiMP_MU

If you failed to install and run this tracker, please email me (dkn2014@mail.dlut.edu.cn)

Introduction

This is a python-implemented visual object tracking algorithm. Use meta-updater to control the update of PrDiMP.

Prerequisites

  • python 3.7
  • ubuntu 16.04
  • cuda-10.0

Install Requirements &

To install all the dependencies, you can run:

source create -n DiMP_MU python=3.7

source activate DiMP_MU

cd path/to/PrDiMP_MU

pip install -r requirements.txt

Download models and put in the following path

https://drive.google.com/open?id=1o-btxlWWA6GlbwMGCGkzn2vAw9qv8D2z

utils/metric_net/metric_model/metric_model.pt

Training tutorial

Refer to ATOM_MU.