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v0.1.57 - Pass auto-annotate request as body in live test (#81)

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@github-actions github-actions released this 23 Sep 06:21
· 23 commits to main since this release
2b69c7c

🌟 Summary

v0.1.57 adds face-blurring tools for datasets and makes cloud training easier to start, monitor, and download. It also updates the SDK and fixes a live test for the new dataset-processing request format.

📊 Key Changes

  • 🧪 CI compatibility fix: Updated the live test to pass dataset batch requests in the new body format, keeping its missing-model check working after the API change.
  • 🙂 Dataset face blurring: The Platform API now supports blurring faces across a dataset or a selected image. Users can preview up to six images before applying blur and adjust detection confidence and blur-box size.
  • ☁️ More flexible cloud training: ul cloud train now starts training and returns with the model URI, run link, selected GPU, estimated cost, and a command for downloading results later. Add watch to follow epoch progress and download results when training finishes.
  • 📥 Download results later: The new ul cloud download command can wait for an existing training run and save its best checkpoint and available training results locally.
  • 🔄 Updated Platform SDK and API contract: The Python SDK now supports the expanded dataset workflows and revised batch request format. Similar-image searches can also prepare an image embedding when needed.

🎯 Purpose & Impact

  • ✅ Users can start cloud training without staying connected until it completes, then retrieve results when convenient.
  • 🔒 Face blurring provides a way to prepare dataset images with added privacy protection, while previews help users review images before applying changes.
  • 🧩 The regenerated SDK reflects the latest API capabilities; callers of dataset batch processing should use the new body request format.
  • 🛠️ The CI fix ensures live tests continue to validate the updated API contract.

What's Changed

Full Changelog: v0.1.54...v0.1.57