Object detection adversary in LightningModule

[mzweilin]

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.

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"]

Type of change

Please check all relevant options.

• [ ] Improvement (non-breaking)
• [ ] Bug fix (non-breaking)
• [x] New feature (non-breaking)
• [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
• [ ] This change requires a documentation update

Testing

Please describe the tests that you ran to verify your changes. Consider listing any relevant details of your test configuration.

• [x] pytest tests

Before submitting

• [x] The title is self-explanatory and the description concisely explains the PR
• [x] My PR does only one thing, instead of bundling different changes together
• [ ] I list all the breaking changes introduced by this pull request
• [x] I have commented my code
• [x] I have added tests that prove my fix is effective or that my feature works
• [x] New and existing unit tests pass locally with my changes
• [x] I have run pre-commit hooks with pre-commit run -a command without errors

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