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 DiMP.

• python 3.7
• ubuntu 16.04
• cuda-10.0

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.

source create -n DiMP_MU python=3.7
source activate DiMP_MU
cd path/to/DiMP_MU
pip install -r requirements.txt

4.Download models Download [metric model] [DiMP50 model]and put in the following path:

 utils/metric_net/metric_model/metric_model.pt
 DiMP_MU/pytracking/networks/dimp50.pth

5. Run the demo script to test the tracker:

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

Refer to ATOM_MU.