Open mzweilin opened 1 year ago
This PR adds support to object detection adversary. As the implementation is modality-aware, it should not be hard to implement RGB-Depth adversary.
mart \ experiment=ArmoryCarlaOverObjDet_TorchvisionFasterRCNN \ fit=false \ +trainer.limit_test_batches=1 \ trainer=gpu \ +attack@model.modules.input_adv_test=object_detection_rgb_mask_adversary \ +model.test_sequence.seq005=input_adv_test \ model.test_sequence.seq010.preprocessor=["input_adv_test"]
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pytest tests
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What does this PR do?
This PR adds support to object detection adversary. As the implementation is modality-aware, it should not be hard to implement RGB-Depth adversary.
Type of change
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Testing
Please describe the tests that you ran to verify your changes. Consider listing any relevant details of your test configuration.
pytest tests
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pre-commit run -a
command without errorsDid you have fun?
Make sure you had fun coding 🙃