by Hyeonseob Nam and Bohyung Han at POSTECH
Update (April, 2019)
PyTorch implementation of MDNet, which runs at ~5fps with a single CPU core and a single GPU (GTX 1080 Ti).
If you're using this code for your research, please cite:
@InProceedings{nam2016mdnet,
author = {Nam, Hyeonseob and Han, Bohyung},
title = {Learning Multi-Domain Convolutional Neural Networks for Visual Tracking},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
python tracking/run_tracker.py -s DragonBaby [-d (display fig)] [-f (save fig)]
python tracking/run_tracker.py -s [seq name]
python tracking/run_tracker.py -j [json path]
python pretrain/prepro_vot.py
python pretrain/train_mdnet.py -d vot
python pretrain/prepro_imagenet.py
python pretrain/train_mdnet.py -d imagenet