Custom Backbones Made Easy
Custom Backbones Made Easy
Decoupling Self-Supervised Models from ResNet
The implementation of SimCLR and MoCo have been changed such that they can now be constructed from an arbitrary backbone network.
Furthermore, the backbone of the self-supervised models is now called backbone instead of features.
Big Documentation Update
The documentation has received a lot of love and improvements to make working with lightly easier.
There is also a new tutorial on how to train MoCo on Cifar-10.
Minor Changes
The LightlyDataset can now be passed a list of indices marking relevant samples. Non-relevant samples will be ignored during further processing of the data.