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2020-09-07 15:02:13 -07:00
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[![chat](https://img.shields.io/badge/support-slack-01579b)](https://onepanel-ce.slack.com/join/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 end-to-end vision AI platform with fully integrated modules for model building, automated labeling, training and data pipelines on Kubernetes.
Production scale end-to-end vision AI platform with fully integrated modules for model building, automated labeling, data processing and model training pipelines on Kubernetes.
## Why Onepanel?
@@ -26,23 +26,23 @@ Production scale end-to-end vision AI platform with fully integrated modules for
<h3>Image and video annotation with automatic annotation</h3>
<img width="100%" src="img/auto-annotation.gif">
<p>
Annotate images and video with object tracking and semi-automatic annotation of bounding boxes and polygon masks
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
</p>
</td>
<td width="50%" align="center">
<h3>JupyterLab with TensorFlow, PyTorch and GPU support</h3>
<img width="100%" src="img/jupyterlab.gif">
<p>
JupyterLab loaded with popular deep learning libraries like Tensorflow, PyTorch and TensorBoard with GPU support
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>
</p>
</td>
</tr>
<tr>
<td width="50%" align="center">
<h3>Auto scaling, distributed data processing and training pipelines</h3>
<h3>Auto scaling, distributed and parallel data processing and training pipelines</h3>
<img width="100%" src="img/pipelines.gif">
<p>
Build production scale distributed data processing and training pipelines with streaming logs and output snapshots
Build fully reproducible, distributed and parallel data processing and training pipelines with real-time logs and output snapshots
</p>
</td>
<td width="50%" align="center">
@@ -73,7 +73,7 @@ For help, questions, release announcements and contribution discussions, join us
## Contributing
Onepanel consists of the following repositories:
Onepanel is modular and consists of the following repositories:
[Core API](https://github.com/onepanelio/core/) (this repository) - Code base for backend (Go)\
[Core UI](https://github.com/onepanelio/core-ui/) - Code base for UI (Angular + TypeScript)\
@@ -87,12 +87,13 @@ Onepanel consists of the following repositories:
See `CONTRIBUTING.md` in each repository for development guidelines. Also, see [contribution guide](https://docs.onepanel.ai/docs/getting-started/contributing) for additional guidelines.
## Acknowledgments
We use these excellent open source projects to power different areas of Onepanel:
Onepanel seamlessly integrates the following excellent open source projects. We are grateful for the support these communities provide and do our best to contribute back as much as possible.
[Argo](https://github.com/argoproj/argo)\
[CVAT](https://github.com/opencv/cvat)\
[JupyterLab](https://github.com/jupyterlab/jupyterlab)
## License
Onepanel is licensed under [Apache 2.0](https://github.com/onepanelio/core/blob/master/LICENSE).