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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.

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.