openvinotoolkit/anomalib: An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

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An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

A library for benchmarking, developing and deploying deep learning anomaly detection algorithms Key Features • Docs • Notebooks • License 🌟 Announcing v2.6.2 Release! 🌟 This patch release hardens Tabular.from_file() by restricting it to safe, data-only file formats. Key Changes Security / API change: Tabular.from_file() now only accepts csv, json, and parquet. Formats such as pickle and hdf are rejected because loading them can execute arbitrary code. Load those files yourself and pass a DataFrame to Tabular(...). We value your input! Please share feedback via GitHub Issues or our…

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openvinotoolkit/anomalib: An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

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