/MBMD

Primary LanguagePython

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

Introduction

This repository includes tensorflow code of MBMD for VOT2018 Long-Term Challenge.
The corresponding arxiv paper has been drafted on Arxiv.
Learning regression and verification networks for long-term visual tracking.
Yunhua Zhang, Dong Wang, Lijun Wang, Jinqing Qi, Huchuan Lu

Prerequisites

python 2.7
ubuntu 14.04
cuda-8.0
cudnn-6.0.21
Tensorflow-1.3-gpu
NVIDIA TITAN X GPU

Pretrained model

The bounding box regression's architecture is MobileNet, and the verifier's architecture is VGGM.
The pre-trained model can be downloaded at https://drive.google.com/open?id=1g3aMRi6CWK88FOEYoQjqs61fY6QvGW1Z.
Then you should copy the two files to the folder of our code.

Integrate into VOT-2018

The interface for integrating the tracker into the vot evaluation tool kit is implemented in the module python_long_MBMD.py. The script tracker_MBMD.m is needed to be copied to vot-tookit.
A sample test_vot_long.py file can be found in this root folder. You only need to change the directories in this file.

CPU manner

If you want to run this code on CPU, you need to just set os.environ ["CUDA_VISIBLE_DEVICES"]="" in the begin of python_long_MBMD.py