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REAP: A Large-Scale Realistic Adversarial Patch Benchmark

License: Other

Python 94.11% Shell 5.89%
adversarial-attacks adversarial-examples adversarial-machine-learning adversarial-patches adversarial-sticker benchmark

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chawins avatar davidwagner avatar nab-126 avatar

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reap-benchmark's Issues

ImportError in prep_mtsd_for_yolo.py

Thank you very much for your solid contribution, which provides a unified benchmark for evaluating physical adversarial examples. We are trying to follow your work but encountered an error when preparing the dataset.

when we run prep_mtsd_for_yolo.py, the following error happens:
ImportError: cannot import name 'MIN_OBJ_AREA' from 'hparams'
similar import error happens to PATH_APB_ANNO, PATH_MTSD_BASE,PATH_MTSD_BASE

By the way. failed to find prep_mtsd_for_detectron.py described in README.md

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