New Augmentation (Solarization) and Updates to README and Docs
New Augmentation (Solarization) and Updates to README and Docs
Solarization
Solarization is an augmentation which inverts all pixels above a given threshold. It is being applied in many papers about self-supervised learning. For example, in BYOL and Barlow Twins.
Updates to README and Docs (multi GPU training)
The README received a code example to show how to use lightly. The documentation was polished and received a section about how to use lightly with multiple GPUs.
Experimental: Active Learning Scorers for Object Detection
Scorers for active learning with object detection were added. These scorers will not work with the API yet and are therefore also not yet documented.