https://github.com/wencheng256/SiamBAN-ACM

Code for CVPR2021 Learning to Fuse Asymmetric Feature Maps in Siamese Trackers
https://github.com/wencheng256/SiamBAN-ACM

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Code for CVPR2021 Learning to Fuse Asymmetric Feature Maps in Siamese Trackers

• Host: GitHub
• URL: https://github.com/wencheng256/SiamBAN-ACM
• Owner: wencheng256
• License: apache-2.0
• Created: 2021-03-17T07:32:38.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2021-09-23T03:39:17.000Z (about 3 years ago)
• Last Synced: 2024-08-02T06:13:04.349Z (3 months ago)
• Language: Python
• Size: 18.6 MB
• Stars: 28
• Watchers: 3
• Forks: 2
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Learning to Fuse Asymmetric Feature Maps in Siamese Trackers

This paper has been accepted by CVPR2021

> paper: https://arxiv.org/abs/2012.02776

```

@article{han2020learning,

  title={Learning to Fuse Asymmetric Feature Maps in Siamese Trackers},

  author={Han, Wencheng and Dong, Xingping and Khan, Fahad Shahbaz and Shao, Ling and Shen, Jianbing},

  journal={arXiv preprint arXiv:2012.02776},

  year={2020}

}

```

## weights and raw results

(Please remove the blank after https: by hand. It is used for anti-spider)

raw results https:// iiai-wencheng2.oss-cn-hongkong.aliyuncs.com/acm_raw_results.zip

config and weights for LaSOT https:// iiai-wencheng2.oss-cn-hongkong.aliyuncs.com/LaSOT_weight_config.zip

config weights for VOT https:// iiai-wencheng2.oss-cn-hongkong.aliyuncs.com/weight_VOT2019.zip

## Installation

Please find installation instructions in [`INSTALL.md`](INSTALL.md).

## Quick Start: Using SiamBAN

### Add SiamBAN to your PYTHONPATH

```bash

export PYTHONPATH=/path/to/siamban:$PYTHONPATH

```

### Download models

Download models in [Model Zoo](MODEL_ZOO.md) and put the `model.pth` in the correct directory in experiments

### Download testing datasets

Download datasets and put them into `testing_dataset` directory. Jsons of commonly used datasets can be downloaded from [here](https://drive.google.com/drive/folders/10cfXjwQQBQeu48XMf2xc_W1LucpistPI) or [here](https://pan.baidu.com/s/1et_3n25ACXIkH063CCPOQQ), extraction code: `8fju`. If you want to test tracker on new dataset, please refer to [pysot-toolkit](https://github.com/StrangerZhang/pysot-toolkit) to setting `testing_dataset`. 

### Test tracker

```bash

cd experiments/siamban_r50_l234

python -u ../../tools/test.py 	\

	--snapshot model.pth 	\ # model path

	--dataset VOT2018 	\ # dataset name

	--config config.yaml	  # config file

```

The testing results will in the current directory(results/dataset/model_name/)

### Eval tracker

assume still in experiments/siamban_r50_l234

``` bash

python ../../tools/eval.py 	 \

	--tracker_path ./results \ # result path

	--dataset VOT2018        \ # dataset name

	--num 1 		 \ # number thread to eval

	--tracker_prefix 'model'   # tracker_name

```

## License

This project is released under the [Apache 2.0 license](LICENSE).