Dataset Upsizing, Bugfixes
Dataset Upsizing, Bugfixes
Dataset Upsizing
You can now add new samples and embedding to an existing dataset. Just run the usual lightly-upload
or lightly-magic
command with the dataset_id
of an existing dataset and it will upload all new images to it. The embeddings are also updated.
Bugfix: ResnetGenerator now uses the argument num_classes
correctly.
Before the fix, it was hardcoded to 10 classes. Thanks to @smartdanny for finding and fixing this bug!
Bugfix: NNCLR
NNCLR had a bug that the projection and prediction head were not connected correctly. Thanks to @HBU-Lin-Li for finding this bug!
Bugfix: Version check timeout
When lightly starts, it checks if a newer version is available. This check could occur multiple times due to circular imports and it could take long if your don't have an internet connect. We fixed this to do only one version check and restrict its duration to 1s. Thanks to @luzuku for finding this bug!
Models
- Bootstrap your own latent: A new approach to self-supervised Learning, 2020
- Barlow Twins: Self-Supervised Learning via Redundancy Reduction, 2021
- SimSiam: Exploring Simple Siamese Representation Learning, 2020
- MoCo: Momentum Contrast for Unsupervised Visual Representation Learning, 2019
- SimCLR: A Simple Framework for Contrastive Learning of Visual Representations, 2020
- NNCLR: Nearest-Neighbor Contrastive Learning of Visual Representations, 2021
- SwAV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments, M. Caron, 2020