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@aubricot aubricot released this 15 Sep 02:51
· 7 commits to master since this release
v.0.3.0
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Full Changelog: v0.2.0...v.0.3.0

This release of Computer Vision With EOL Images runs with TensorFlow 2.17, and YOLO v8 in Python 3.12.

Major Features and Improvements

  • YOLO-based code now runs in YOLO v8 (updated from YOLO v3).
  • More functions are pushed to external python modules to tidy up Colab notebooks.
  • Version control via requirements.txt files enables rollbacks and avoid issues caused by Colab and Tensorflow background updates.
  • Most important outputs are color-coded (Red: possible error, Yellow: warning, Green: success) to facilitate user interaction with code.
  • Demo scripts are available under play_for_beginners, including new demos for DINOv3, BIOCLIPv2, and YOLOv8.

Bug Fixes
[Fix] pip's dependency resolver issue with numpy and pandas (#13)
[Fix] multitaxa draw_bounding_box_on_image (#12)
[Fix] Auto-restart runtime to update pip installed versions (#11)

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