/siamese-RPN-pytorch

This is a re-implementation of Siamese-RPN with pytorch, which is CVPR2018 spotlight.

Primary LanguagePythonMIT LicenseMIT

Siamese-RPN-pytorch

  • Tensorflow Version has been available by my classmates makalo. If you have any question, please feel free to contact us.
  • This is a re-implementation for High Performance Visual Tracking with Siamese Region Proposal Network with PyTorch, which is accepted at CVPR2018.
  • Code_v1.0 is available for traning, you should change your dataset as VOT format(top-left point and w,h). If there is a break in a sequence, ues "0,0,0,0" to replace the info of this frame.
  • Dataset Tree
-root/class1/img1.jpg
            /...
            /imgN.jpg
            /groundtruth.txt

Citation

Paper: @InProceedings{Li_2018_CVPR,
author = {Li, Bo and Yan, Junjie and Wu, Wei and Zhu, Zheng and Hu, Xiaolin},
title = {High Performance Visual Tracking With Siamese Region Proposal Network},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}

Getting Started

Performance

Network introduction

Environment

  • python=3.6
  • pytorch=0.4.0
  • cuda=9.0
  • shapely=1.6.4

Downloading VOT2013 Dataset

wget http://data.votchallenge.net/vot2013/vot2013.zip

Downloading YouTube-bb Data

git clone https://github.com/mbuckler/youtube-bb.git
python3 download.py ./dataset 12

Train phase

git clone https://github.com/songdejia/siamese-RPN
cd code_v1.0
python train_siamrpn.py --dataroot=/PATH/TO/YOUR/DATASET --lr=0.001

Visualization for debug

bbox in detection
green -- ground truth which is got by pos anchor shift with reg_target
red -- bbox which is got by pos anchor with reg_pred
black -- bbox with highest score

proposal in original image

Authors