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Development · open-edge-platform/anomalib

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1

Runs the anomalib benchmarking pipeline to train/evaluate a grid of model + dataset (+ category) combinations and collect metrics into a results CSV.

open-edge-platform/anomalib6.2k—~1kAutomated safety check: PassApache-2.0yesterday
2

Trains an anomalib model on a dataset via the Python API or CLI, including training on a custom folder-structured dataset with the Folder datamodule.

open-edge-platform/anomalib6.2k—~1.4kAutomated safety check: PassApache-2.0yesterday
3

Export, validate, and publish model sample-result images into docs/source/images and reference them from README/docs pages.

open-edge-platform/anomalib6.2k—~874Automated safety check: PassApache-2.0yesterday
4

Run or continue model benchmarks, collect measured results, and refresh README/docs benchmark sections from generated artifacts.

open-edge-platform/anomalib6.2k—~808Automated safety check: PassApache-2.0yesterday
5

Enforces Google-style Python docstrings for Python code. An agent skill from open-edge-platform/anomalib.

open-edge-platform/anomalib6.2k—~571Automated safety check: PassApache-2.0yesterday
6

Reviews anomalib docstrings, documentation updates, and changelog expectations

open-edge-platform/anomalib6.2k—~660Automated safety check: PassApache-2.0yesterday
7

Keep anomalib model READMEs, docs pages, image assets, and benchmark/result references in sync

open-edge-platform/anomalib6.2k—~1.5kAutomated safety check: PassApache-2.0yesterday