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

This is a python-implemented visual object tracking algorithm. Use meta-updater to control the update of D3S.

• python 3.7
• ubuntu 16.04
• cuda-9.0

1. Clone the GIT repository:

 $ git clone https://github.com/Daikenan/LTMU.git

2. Clone the submodules.
   In the repository directory, run the commands:

   $ git submodule init  
   $ git submodule update

3. Run the install script.

bash install.sh PATH/TO/YOUR/anaconda3 D3S_MU

4.Download models Download [metric model] [D3S model]and put in the following path:

 utils/metric_net/metric_model/metric_model.pt
 D3S_MU/pytracking/networks/SegmNet.pth.tar

5. Run the demo script to test the tracker:

cd path/to/D3S_MU
source activate D3S_MU
python Demo.py

Refer to ATOM_MU.