.. lightly documentation master file, created by sphinx-quickstart on Tue Oct 6 10:38:42 2020. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. .. image:: ../logos/lightly_SSL_logo_crop.png :width: 600 :align: center :alt: LightlySSL Self-Supervised Learning Documentation =================================== .. note:: These pages document the Lightly self-supervised learning library. If you are looking for the Lightly\ **One** Worker Solution with advanced `active learning algorithms `_ and `selection strategies `_ to select the best samples within millions of unlabeled images or video frames stored in your cloud storage or locally, please follow our Lightly\ **One** Worker `documentation `_. Lightly\ **SSL** is a computer vision framework for self-supervised learning. With Lightly\ **SSL** you can train deep learning models using self-supervision. This means, that you don’t require any labels to train a model. Lightly\ **SSL** has been built to help you understand and work with large unlabeled datasets. It is built on top of PyTorch and therefore fully compatible with other frameworks such as Fast.ai. For a commercial version with more features, including Docker support and pretraining models for embedding, classification, detection, and segmentation tasks with a single command, please contact sales@lightly.ai. Lightly AI ---------- .. |lightly_worker_with_bold_one| raw:: html LightlyOne Worker Solution Documentation .. |lightly_app_with_bold_one| raw:: html LightlyOne Platform - `Homepage `_ - |lightly_worker_with_bold_one| - |lightly_app_with_bold_one| - `Github `_ - `Discord `_ (We have weekly paper sessions!) .. toctree:: :maxdepth: 1 :caption: Getting Started getting_started/main_concepts.rst getting_started/install.rst getting_started/command_line_tool.rst getting_started/lightly_at_a_glance.rst .. toctree:: :maxdepth: 1 :caption: Advanced getting_started/advanced.rst getting_started/distributed_training.rst getting_started/benchmarks.rst .. toctree:: :maxdepth: 1 :caption: Tutorials tutorials/structure_your_input.rst tutorials/package/tutorial_moco_memory_bank.rst tutorials/package/tutorial_simclr_clothing.rst tutorials/package/tutorial_simsiam_esa.rst tutorials/package/tutorial_custom_augmentations.rst tutorials/package/tutorial_pretrain_detectron2.rst tutorials/package/tutorial_checkpoint_finetuning.rst tutorials/package/tutorial_timm_backbone.rst .. toctree:: :maxdepth: 1 :caption: Examples examples/models.rst .. toctree:: :maxdepth: 1 :caption: Python API lightly lightly.api lightly.cli lightly.core lightly.data lightly.loss lightly.models lightly.models.utils lightly.transforms lightly.utils .. toctree:: :maxdepth: 1 :caption: On-Premise docker_archive/overview.rst Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`