OnePanel is an open-source, end-to-end computer vision platform that can run on any cloud or on-premises. It is specifically designed for computer vision tasks and is fully integrated with the Computer Vision Annotation Tool (CVAT) . Here are some key features and capabilities of OnePanel:
- Computer Vision Annotation Tool (CVAT) Integration: OnePanel allows users to annotate images and videos using CVAT and then train models on the annotated data. This integration streamlines the process of creating labeled datasets for computer vision tasks.
- Training Workflows: OnePanel provides integrated training workflows that enable users to train models with the newly labeled data. This allows for efficient model training and iteration.
- Automatic Annotation: Once models are trained on the annotated data, OnePanel can automatically annotate new data using the newly trained models. This iterative process helps improve object detection or semantic segmentation models.
- Unified Platform: OnePanel offers a unified platform for labeling, building, training, tuning, deploying, and automating computer vision models. This eliminates the need for multiple tools and simplifies the workflow.
- Cloud and On-Premises Support: OnePanel can run on any cloud platform, such as AWS, Azure, and GCP, as well as on-premises. This flexibility allows users to choose the infrastructure that best suits their needs.
It’s worth noting that there is also a web-based manga reader called One Panel, which allows users to read manga one panel at a time. However, this is a different application and not related to the computer vision platform mentioned above.For more information and detailed documentation on getting started with OnePanel, you can visit the official documentation at.
