Code

OOD Detection using COOD #493

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Draft

rajeshgangireddy wants to merge 32 commits intomainopen-edge-platform/geti-sdk:mainfrom rgangire/ood_detection_triggeropen-edge-platform/geti-sdk:rgangire/ood_detection_triggerCopy head branch name to clipboard

Commits

Commits on Oct 24, 2024

• Initial Commit

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  d3f52d4

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• Copy of notebook 103

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  632233e

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• Rename OODModel to COODModel

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• Add code for initial steps - fetch Deployment models,

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• Create ood_debug_delete_before_pr.py

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  013a6c4

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• fix logic to get xai model

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• add method to download, infer the id data

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• Update ood_model.py

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• added code to prepare id and ood data - draft

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• Update ood_model.py

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• Update ood_model.py

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• Update ood_model.py

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• training and inference works.

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• move the deployment getting method to utils

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  c5984d0

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• change number of cutouts to be 2

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• Refactored OOD Model

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• Abstract class for sub models

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• change corruption parameters again

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• Update ood_debug_delete_before_pr.py

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  22e5d0b

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• add more ood measures

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• Cleanup and added docstrings

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• Initial commit for notebook.

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• Update 104_post_inference_hook_ood.ipynb

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• Possibility to provide a image dir as reference for OOD data

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  5990dd1

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• Add train and test split functionality

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• better listing of images

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• Updated FRE calculations , added a new variant scores

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• Determine best threshold for certain metrics.

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• WIP files for testing and notebook

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  f97a151

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• Refactor - Move functions into utils, move sub ood methods

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• Demo Notebook

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• Delete ood_debug_delete_before_pr.py

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