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Add YouTube iframe loading="lazy" (#8001)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Glenn Jocher 2024-02-03 23:24:20 +01:00 • committed by GitHub
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commit 9d35ecbf0f
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39 changed files with 39 additions and 39 deletions
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2
docs/en/modes/benchmark.md
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@ -14,7 +14,7 @@ Once your model is trained and validated, the next logical step is to evaluate i
<p align="center">
<br>
<iframe width="720" height="405" src="https://www.youtube.com/embed/j8uQc0qB91s?start=105"
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/j8uQc0qB91s?start=105"
title="YouTube video player" frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
allowfullscreen>

2
docs/en/modes/export.md
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@ -14,7 +14,7 @@ The ultimate goal of training a model is to deploy it for real-world application
<p align="center">
<br>
<iframe width="720" height="405" src="https://www.youtube.com/embed/WbomGeoOT_k?si=aGmuyooWftA0ue9X"
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/WbomGeoOT_k?si=aGmuyooWftA0ue9X"
title="YouTube video player" frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
allowfullscreen>

2
docs/en/modes/index.md
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@ -14,7 +14,7 @@ Ultralytics YOLOv8 is not just another object detection model; it's a versatile
<p align="center">
<br>
<iframe width="720" height="405" src="https://www.youtube.com/embed/j8uQc0qB91s?si=dhnGKgqvs7nPgeaM"
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/j8uQc0qB91s?si=dhnGKgqvs7nPgeaM"
title="YouTube video player" frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
allowfullscreen>

2
docs/en/modes/predict.md
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@ -14,7 +14,7 @@ In the world of machine learning and computer vision, the process of making sens
<p align="center">
<br>
<iframe width="720" height="405" src="https://www.youtube.com/embed/QtsI0TnwDZs?si=ljesw75cMO2Eas14"
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/QtsI0TnwDZs?si=ljesw75cMO2Eas14"
title="YouTube video player" frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
allowfullscreen>

2
docs/en/modes/track.md
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@ -21,7 +21,7 @@ The output from Ultralytics trackers is consistent with standard object detectio
<p align="center">
<br>
<iframe width="720" height="405" src="https://www.youtube.com/embed/hHyHmOtmEgs?si=VNZtXmm45Nb9s-N-"
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/hHyHmOtmEgs?si=VNZtXmm45Nb9s-N-"
title="YouTube video player" frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
allowfullscreen>

2
docs/en/modes/train.md
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@ -14,7 +14,7 @@ Training a deep learning model involves feeding it data and adjusting its parame
<p align="center">
<br>
<iframe width="720" height="405" src="https://www.youtube.com/embed/LNwODJXcvt4?si=7n1UvGRLSd9p5wKs"
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/LNwODJXcvt4?si=7n1UvGRLSd9p5wKs"
title="YouTube video player" frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
allowfullscreen>

2
docs/en/modes/val.md
View file

@ -14,7 +14,7 @@ Validation is a critical step in the machine learning pipeline, allowing you to
<p align="center">
<br>
<iframe width="720" height="405" src="https://www.youtube.com/embed/j8uQc0qB91s?start=47"
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/j8uQc0qB91s?start=47"
title="YouTube video player" frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
allowfullscreen>