In the v1.2 release, new Google Colab notebooks for custom training of YOLOv6, YOLOv7 and YOLOv8 detection models were added.
The check_images.py script was added, which can be used to automatically remove corrupted images that can sometimes be generated by the automated monitoring script of the DIY camera trap and will cause an error while running the classification script. Running the script will also give you the mean/min/max image width/height of your collected data as output.
New features
- Add YOLOv6, YOLOv7 and YOLOv8 model training notebooks: ba914e0
- Add
check_images.pyscript: 2508fa4
Important Updates
Update license to AGPLv3: 78d55fc
Changelog
Changes between previous release and this release: v1.1...v1.2