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py-MDNet

by Hyeonseob Nam and Bohyung Han at POSTECH

Introduction

Python (PyTorch) implementation of MDNet tracker, which is ~2x faster than the original matlab implementation.

[Project] [Paper] [Matlab code]

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}
}

Prerequisites

  • python 2.7
  • PyTorch and its dependencies

Usage

Tracking

 cd tracking
 python run_tracker.py -s DragonBaby [-d (display fig)] [-f (save fig)]
  • You can provide a sequence configuration in two ways (see tracking/gen_config.py):
    • python run_tracker.py -s [seq name]
    • python run_tracker.py -j [json path]

Pretraining

  • Download VGG-M (matconvnet model) and save as "models/imagenet-vgg-m.mat"
  • Download VOT datasets into "dataset/vot201x"
 cd pretrain
 python prepro_data.py
 python train_mdnet.py