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Update serverless-tutorial.md #8852
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Removed Mask RCNN
WalkthroughThe serverless tutorial for CVAT has been updated to provide more comprehensive guidance on implementing and managing serverless functions. The changes focus on refining the documentation by removing the Mask RCNN model, expanding instructions for YOLO-v3 deployment, and introducing new sections about custom model integration, GPU optimization, debugging, and troubleshooting. The tutorial now offers more detailed steps for developers looking to work with serverless functions in the Computer Vision Annotation Tool. Changes
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Actionable comments posted: 0
🧹 Nitpick comments (1)
site/content/en/docs/manual/advanced/serverless-tutorial.md (1)
Line range hint
590-590
: Consider adding a note about port conflict resolutionThe troubleshooting section could benefit from a brief note explaining that port conflicts can be resolved by either:
- Removing conflicting containers
- Explicitly specifying different ports in the function configuration
Add this note after the existing port troubleshooting example:
+ > Note: To avoid port conflicts between different functions, you can explicitly specify different ports in the function configuration using the `port` attribute in the triggers section: + > ```yaml + > triggers: + > myHttpTrigger: + > attributes: + > port: 32001 # Unique port for this function + > ```
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site/content/en/docs/manual/advanced/serverless-tutorial.md
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site/content/en/docs/manual/advanced/serverless-tutorial.md (1)
27-27
: Built-in functions list updated correctly
The list of built-in functions has been properly updated to remove the Mask RCNN reference while maintaining other important models.
Quality Gate passedIssues Measures |
Removed Mask RCNN
Motivation and context
Masked RCNN was removed so its mentions should not be
How has this been tested?
Checklist
develop
branch(cvat-canvas,
cvat-core,
cvat-data and
cvat-ui)
License
Feel free to contact the maintainers if that's a concern.
Summary by CodeRabbit
New Features
Bug Fixes