Update support options

This commit is contained in:
Rush Tehrani
2020-11-18 11:03:09 -08:00
committed by GitHub
parent f22c6b051f
commit e43d7d74a1

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@@ -6,7 +6,7 @@
[![sdk](https://img.shields.io/pypi/v/onepanel-sdk?color=01579b&label=sdk)](https://pypi.org/project/onepanel-sdk/)
[![docs](https://img.shields.io/github/v/release/onepanelio/core?color=01579b&label=docs)](https://docs.onepanel.io)
[![issues](https://img.shields.io/github/issues-raw/onepanelio/core?color=01579b&label=issues)](https://github.com/onepanelio/core/issues)
[![chat](https://img.shields.io/badge/support-dicussions-01579b)](https://github.com/onepanelio/core/discussions)
[![chat](https://img.shields.io/badge/support-slack-01579b)](https://join.slack.com/t/onepanel-ce/shared_invite/zt-eyjnwec0-nLaHhjif9Y~gA05KuX6AUg)
[![license](https://img.shields.io/github/license/onepanelio/core?color=01579b)](https://opensource.org/licenses/Apache-2.0)
Production scale vision AI platform with fully integrated components for model building, automated labeling, data processing and model training pipelines.
@@ -22,8 +22,8 @@ Production scale vision AI platform with fully integrated components for model b
- Scalability, flexibility and resiliency of Kubernetes without the deployment and configuration complexities
## Features
- Annotate images and video with automatic annotation of bounding boxes and polygon masks, integrated with training pipelines to iteratively improve models for pre-annotation and inference.
- JupyterLab configured with extensions for debugging, Git/GitHub, notebook diffing and TensorBoard and support for Conda, OpenCV, Tensorflow and PyTorch with GPU and <a href="https://github.com/onepanelio/templates/tree/master/workspaces/jupyterlab">much more</a>.
- 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.
@@ -51,7 +51,7 @@ See [documentation](https://docs.onepanel.ai) to get started or for more detaile
To submit a feature request, report a bug or documentation issue, please open a GitHub [pull request](https://github.com/onepanelio/core/pulls) or [issue](https://github.com/onepanelio/core/issues).
For help, questions, release announcements and contribution discussions, join us on [GitHub discussions](https://github.com/onepanelio/core/discussions).
For help, questions, release announcements and contribution discussions, join us on [Slack](https://join.slack.com/t/onepanel-ce/shared_invite/zt-eyjnwec0-nLaHhjif9Y~gA05KuX6AUg) or [GitHub discussions](https://github.com/onepanelio/core/discussions).
## Contributing
@@ -74,8 +74,8 @@ Onepanel seamlessly integrates the following excellent open source projects. We
[Argo](https://github.com/argoproj/argo)\
[CVAT](https://github.com/opencv/cvat)\
[JupyterLab](https://github.com/jupyterlab/jupyterlab)
[JupyterLab](https://github.com/jupyterlab/jupyterlab)\
[NNI](https://github.com/microsoft/nni)
## License
Onepanel is licensed under [Apache 2.0](https://github.com/onepanelio/core/blob/master/LICENSE).