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PyCharm Code Inspect fixes (#18392)

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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2024-12-25 16:24:29 +01:00 • committed by GitHub
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docs/en/integrations/roboflow.md
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@ -161,7 +161,7 @@ You are now ready to train YOLO11 on a custom dataset. Follow this [written guid
## Upload Custom YOLO11 Model Weights for Testing and Deployment
Roboflow offers an infinitely scalable API for deployed models and SDKs for use with NVIDIA Jetsons, Luxonis OAKs, Raspberry Pis, GPU-based devices, and more.
Roboflow offers a scalable API for deployed models and SDKs for use with NVIDIA Jetson, Luxonis OAK, Raspberry Pi, GPU-based devices, and more.
You can deploy YOLO11 models by uploading YOLO11 weights to Roboflow. You can do this in a few lines of Python code. Create a new Python file and add the following code:

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docs/en/integrations/vscode.md
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@ -259,7 +259,7 @@ Like any other VS Code extension, you can uninstall it by navigating to the Exte
[working with inference results]: ../modes/predict.md#working-with-results
[inference arguments]: ../modes/predict.md#inference-arguments
[Simple Utilities page]: ../usage/simple-utilities.md
[Ultralytics Settings]: ../quickstart.md/#ultralytics-settings
[Ultralytics Settings]: ../quickstart.md#ultralytics-settings
[quickstart]: ../quickstart.md
[Discord]: https://ultralytics.com/discord
[Discourse]: https://community.ultralytics.com