pip install -r requirements.txt

|-- data
    |-- MVTec-AD
        |-- mvtec_anomaly_detection
            |--bottle
            |--cable
            |-- ...
        |-- train.json
        |-- test.json

cd experiments/
bash train_torch.sh config.yaml 4 0,1,2,3 1111
# bash train.sh <config> <num gpus> <gpu ids> <master port>

cd experiments/
bash eval_torch.sh config.yaml 4 0,1,2,3 1111
# bash eval.sh <config> <num gpus> <gpu ids> <master port>

@article{lee2024crad,
title={Continuous Memory Representation for Anomaly Detection},
author={Lee, Joo Chan and Kim, Taejune and Park, Eunbyung and Woo, Simon S. and Ko, Jong Hwan},
journal={arXiv preprint arXiv:2402.18293},
year={2024}
}