• 设为首页
  • 点击收藏
  • 手机版
    手机扫一扫访问
    迪恩网络手机版
  • 关注官方公众号
    微信扫一扫关注
    迪恩网络公众号

MeioJane/CHR: SIXray : A Large-scale Security Inspection X-ray Benchmark in CVPR ...

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称(OpenSource Name):

MeioJane/CHR

开源软件地址(OpenSource Url):

https://github.com/MeioJane/CHR

开源编程语言(OpenSource Language):

Python 99.7%

开源软件介绍(OpenSource Introduction):

SIXray:A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images

[Paper] [dataset]

Illustration

Requirements

Conda virtual environment is recommended: conda env create -f environment.yml

  • Python3.5
  • PyTorch: 0.3.1
  • Packages: torch, numpy, tqdm

Usage

  1. Clone the CHR repository:

    git clone https://github.com/MeioJane/CHR.git
  2. Run the training demo:

    cd CHR/
    bash CHR/runme.sh

Checkpoint

If you only want to test images, you can download here. Resnet101-CHR

Citation

If you use the code in your research, please cite:

@INPROCEEDINGS{Miao2019SIXray,
    author = {Miao, Caijing and Xie, Lingxi and Wan, Fang and Su, chi and Liu, Hongye and Jiao, jianbin and Ye, Qixiang },
    title = {SIXray: A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images},
    booktitle = {CVPR},
    year = {2019}
}

Acknowledgement

In this project, we reimplemented CHR on PyTorch based on wildcat.pytorch.




鲜花

握手

雷人

路过

鸡蛋
该文章已有0人参与评论

请发表评论

全部评论

专题导读
热门推荐
阅读排行榜

扫描微信二维码

查看手机版网站

随时了解更新最新资讯

139-2527-9053

在线客服(服务时间 9:00~18:00)

在线QQ客服
地址:深圳市南山区西丽大学城创智工业园
电邮:jeky_zhao#qq.com
移动电话:139-2527-9053

Powered by 互联科技 X3.4© 2001-2213 极客世界.|Sitemap