4.7 KiB
Production scale vision AI platform with fully integrated modules for model building, automated labeling, data processing, model training and hyperparameter tuning pipelines.
Why Onepanel?
- End-to-end automation for production scale vision AI pipelines
- Best of breed, open source deep learning tools seamlessly integrated in one unified platform
- Infrastructure automation so you can easily scale your data processing and training pipelines to multiple nodes
- Customizable, reproducible and version controlled tooling and pipeline templates
- Scalability, flexibility and resiliency of Kubernetes without the deployment and configuration complexities
Onepanel can be found on LF AI Landscape
Features
- Annotate images and video with automatic annotation of bounding boxes and polygon masks, fully integrated with data processing and training pipelines.
- JupyterLab configured with extensions for TensorBoard, Git/GitHub, debugging, notebook diffing and support for Conda, OpenCV, Tensorflow and PyTorch with GPU.
- Build fully reproducible, distributed and parallel data processing and training pipelines with real-time logs and output snapshots.
- Bring your own IDEs, annotation tools and pipelines with a version controlled YAML and Docker based template engine.
- Track and visualize model metrics and experiments with TensorBoard or bring your own experiment tracking tools.
- Extend Onepanel with powerful REST APIs and SDKs to further automate your workflows.
Online demo
We have created an online demo environment so that you can get a feel for some of Onepanel's features.
Note: This is a shared, read only, demo environment that will be occasionally rebuilt.
Quick start
See quick start guide to get started with the platform of your choice.
Quick start videos
Getting started with Microsoft Azure
Getting started with Amazon EKS
Getting started with Google GKE
Community
See documentation to get started or for more detailed operational and user guides.
To submit a feature request, report a bug or documentation issue, please open a GitHub pull request or issue.
For help, questions, release announcements and contribution discussions, join us on Slack or GitHub discussions.
Contributing
Onepanel is modular and consists of multiple repositories.
See contribution guide and CONTRIBUTING.md in each repository for additional contribution guidelines.
Acknowledgments
Onepanel seamlessly integrates the following open source projects under the hood:
Argo | CVAT | JupyterLab | NNI
We are grateful for the support these communities provide and do our best to contribute back as much as possible.
License
Onepanel is licensed under Apache 2.0.
Need a managed solution?
Visit our website for more information about our enterprise offering.