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Reproduce Our Experiment Results

Establish Base Trackers

In this project, we introduce DiMP50, DiMPsuper, ATOM, ECO, RTMDNet, SiamRPN++ as our base trackers.

PyTracking Methods

DiMP50, DiMPsuper, ATOM, ECO are trackers from PyTracking.

The base tracker models trained using PyTracking can be download from model zoo, download them into pytracking/networks

Or you can run the following script to download the models.

echo "****************** Downloading networks ******************"
mkdir pytracking/networks

echo "****************** DiMP Network ******************"
gdown https://drive.google.com/uc\?id\=1qgachgqks2UGjKx-GdO1qylBDdB1f9KN -O pytracking/networks/dimp50.pth
gdown https://drive.google.com/uc\?id\=1MAjrRJDCbL0DSjUKFyDkUuYS1-cYBNjk -O pytracking/networks/dimp18.pth
gdown https://drive.google.com/open?id=1qDptswis2FxihLRYLVRGDvx6aUoAVVLv -O pytracking/networks/super_dimp.pth

echo "****************** ATOM Network ******************"
gdown https://drive.google.com/uc\?id\=1VNyr-Ds0khjM0zaq6lU-xfY74-iWxBvU -O pytracking/networks/atom_default.pth

echo "****************** ECO Network ******************"
gdown https://drive.google.com/uc\?id\=1aWC4waLv_te-BULoy0k-n_zS-ONms21S -O pytracking/networks/resnet18_vggmconv1.pth

[Optional] Other Base Trackers

Please refer to external/pysot/README.md for establishing SiamRPN++ and external/RT_MDNet/README.md for establishing RTMDNet.

Run Evaluation Scripts

  • We provide the evaluation recipes of LaSOT | GOT-10K | TrackingNet | VOT2020. You can follow these recipes to run the evaluation scripts.

  • For some of the testing scripts, the path to the testing sets should be specified in pytracking/evaluation/local.py

    If pytracking/evaluation/local.py is not exist, please run

    python -c "from pytracking.evaluation.environment import create_default_local_file; create_default_local_file()"

    An example of pytracking/evaluation/local.py.example is provided.