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loopback-kr/CHR

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

[Paper] [dataset]

Illustration

Requirements

  • Python 3.10 or newer
  • PyTorch: 2.0.0 or newer

Usage

  1. Clone the CHR repository:

    git clone https://github.com/loopback-kr/CHR.git
  2. Create new container:

    docker compose up -d
  3. Run the training demo in the container:

    python CHR/main.py

Checkpoint

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

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

This project was forked from MeioJane/CHR and refactored to PyTorch 2.0 or newer.

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SIXray : A Large-scale Security Inspection X-ray Benchmark in CVPR 2019

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  • Dockerfile 0.6%

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