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Standardize license headers in Python files (#18696)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Paula Derrenger 2025-01-15 15:36:11 +01:00 • committed by GitHub
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docs/en/models/mobile-sam.md
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@ -8,7 +8,7 @@ keywords: MobileSAM, image segmentation, lightweight model, fast segmentation, m
# Mobile Segment Anything (MobileSAM)
The MobileSAM paper is now available on [arXiv](https://arxiv.org/pdf/2306.14289.pdf).
The MobileSAM paper is now available on [arXiv](https://arxiv.org/pdf/2306.14289).
A demonstration of MobileSAM running on a CPU can be accessed at this [demo link](https://huggingface.co/spaces/dhkim2810/MobileSAM). The performance on a Mac i5 CPU takes approximately 3 seconds. On the Hugging Face demo, the interface and lower-performance CPUs contribute to a slower response, but it continues to function effectively.

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docs/en/yolov5/tutorials/clearml_logging_integration.md
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@ -10,7 +10,7 @@ keywords: ClearML, YOLOv5, machine learning, experiment tracking, data versionin
## About ClearML
[ClearML](https://clear.ml/) is an [open-source](https://github.com/allegroai/clearml) toolbox designed to save you time ⏱️.
[ClearML](https://clear.ml/) is an [open-source](https://github.com/clearml/clearml) toolbox designed to save you time ⏱️.
🔨 Track every YOLOv5 training run in the <b>experiment manager</b>