working on perturbation detectors #51
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bmalezieux
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Aug 12, 2024
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We can also add a NoisePerturbationDetector to evaluate robustness to noise
| except (ImportError, ModuleNotFoundError) as e: | ||
| raise GiskardImportError(["giskard"]) from e | ||
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| relative_delta = (test_result.metric_value_test - test_result.metric_value_ref) / test_result.metric_value_ref |
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We should use what we implemented in the meta data detector for this function, for instance here the metric can be absolute or relative
* ENH: adding noise perturbation detector with Gaussian noise * FIX: docstring * FIX: the IoU metric now handles prediction batches * renaming metric IoU to IoUMean --------- Co-authored-by: Rabah Khalek <rabah.khalek@gmail.com>
refactoring detectors
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We can keep the scope limited to coloring and blurring for now. @bmalezieux maybe you can support
predict_gray_imagefor the rest of the models we have?