What it does OpenVINO™ Training Extensions was Intel’s Python toolkit for training, compressing, and exporting computer vision models to OpenVINO format. The actual code still exists—it’s just been shuffled into a library/ subdirectory and rebranded as getitune.

The interesting bit The README is essentially a “we’ve moved” sign. The project isn’t dead, but you need to follow a nested README link to find the living code. It’s an unusual state of affairs for a repo with 1,230 stars and a sprawling topic list that covers everything from semi-supervised learning to neural network compression.

Key highlights

• Formerly otx, now getitune — same codebase, new branding
• Supports the full CV pipeline: train → evaluate → optimize → deploy via OpenVINO
• Covers object detection, segmentation, classification, action recognition, and more
• Includes hyperparameter optimization, quantization, and incremental learning
• Code lives in library/ folder; main README is a redirect

Caveats

• The repo is in a transitional state; documentation and installation instructions are split across two READMEs
• “Stay tuned for further updates soon” — the classic phrase that could mean days or quarters

Verdict Worth bookmarking if you’re already in the Intel/OpenVINO ecosystem and need a unified CV training pipeline. Skip for now if you want a stable, well-documented tool without indirection layers.