资源算法SiameseX.PyTorch

SiameseX.PyTorch

2020-01-13 | |  32 |   0 |   0

SiameseX.PyTorch

A simplified PyTorch implementation of Siamese networks for tracking: SiamFC, SiamVGG, SiamDW, SiamRPN, SiamRPN++.

Warning:  It is still in development, some files are just for the integrity of the project.

Dependencies

  • python2.7

  • pytorch == 0.4.0

  • opencv

  • mmcv

Currently supported models

Backbones

  • AlexNet

  • VGG

  • ResNet22

  • Incep22

  • ResNeXt22

  • ResNet50

Demo

  • Try SiamFC:

Clone this repo and run

python demo.py --model SiamFC

You can change --mdoel to other models like

python demo.py --model SiamFCNext22
  • Try SiamRPN:

Download the pretrained model and put it in ./cp folder.

python demo_rpn.py --model SiamRPNResNeXt22
  • Try SiamRPN++:

Download the pretrained model and put it in ./cp folder.

python demo_rpn.py --model SiamRPNPPRes50

Training

  • download VID dataset (I did not use Youtube-bb because of limited resources).

  • download label files from here and run label_preprocess.py --file --output_file --path to replace my file path by yours,  these three arguments should be treated carefully.

  • train SiamFCNext22 tracker

python train.py --gpu 0 --config configs/SiamFC.py
  • just replace --config argument and you can train other models

python train.py --gpu 0 --config configs/SiamRPN.py

TODO

We have accumulated the following to-do list, which we hope to complete in the near future

  • Still to come:

    • Add testing code on common datasets

    • Add SiamRPN(AlexNet as backbone)

    • Add SiamRPN(VGG as backbone)

    • Add SiamRPN(ResNet, ResNext, Inception as backbone)

Citation

@inproceedings{bertinetto2016fully,
  title={Fully-convolutional siamese networks for object tracking},
  author={Bertinetto, Luca and Valmadre, Jack and Henriques, Joao F and Vedaldi, Andrea and Torr, Philip HS},
  booktitle={European conference on computer vision},
  pages={850--865},
  year={2016},
  organization={Springer}
}

@inproceedings{Li2019SiamVGGVT,
  title={SiamVGG: Visual Tracking using Deeper Siamese Networks},
  author={Yuhong Li and Xiaofan Zhang},
  year={2019}
}

@inproceedings{SiamDW_2019_CVPR,
    author={Zhang, Zhipeng and Peng, Houwen},
    title={Deeper and Wider Siamese Networks for Real-Time Visual Tracking},
    booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year = {2019}

@article{li2018siamrpn++,
  title={SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks},
  author={Li, Bo and Wu, Wei and Wang, Qiang and Zhang, Fangyi and Xing, Junliang and Yan, Junjie},
  journal={arXiv preprint arXiv:1812.11703},
  year={2018}
}
}

References


上一篇:siamese-fc

下一篇:siamese_tf_mnist

用户评价
全部评价

热门资源

  • Keras-ResNeXt

    Keras ResNeXt Implementation of ResNeXt models...

  • seetafaceJNI

    项目介绍 基于中科院seetaface2进行封装的JAVA...

  • spark-corenlp

    This package wraps Stanford CoreNLP annotators ...

  • capsnet-with-caps...

    CapsNet with capsule-wise convolution Project ...

  • inferno-boilerplate

    This is a very basic boilerplate example for pe...