Update to lowercase MkDocs admonitions (#15990)
Co-authored-by: UltralyticsAssistant <web@ultralytics.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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@ -116,7 +116,7 @@ SAM 2 can be utilized across a broad spectrum of tasks, including real-time vide
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#### Segment with Prompts
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!!! Example "Segment with Prompts"
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!!! example "Segment with Prompts"
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Use prompts to segment specific objects in images or videos.
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@ -140,7 +140,7 @@ SAM 2 can be utilized across a broad spectrum of tasks, including real-time vide
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#### Segment Everything
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!!! Example "Segment Everything"
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!!! example "Segment Everything"
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Segment the entire image or video content without specific prompts.
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@ -185,7 +185,7 @@ This comparison shows the order-of-magnitude differences in the model sizes and
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Tests run on a 2023 Apple M2 Macbook with 16GB of RAM using `torch==2.3.1` and `ultralytics==8.3.82`. To reproduce this test:
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!!! Example
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!!! example
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=== "Python"
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@ -217,7 +217,7 @@ Auto-annotation is a powerful feature of SAM 2, enabling users to generate segme
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To auto-annotate your dataset using SAM 2, follow this example:
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!!! Example "Auto-Annotation Example"
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!!! example "Auto-Annotation Example"
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```python
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from ultralytics.data.annotator import auto_annotate
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@ -248,7 +248,7 @@ Despite its strengths, SAM 2 has certain limitations:
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If SAM 2 is a crucial part of your research or development work, please cite it using the following reference:
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!!! Quote ""
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!!! quote ""
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=== "BibTeX"
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@ -281,7 +281,7 @@ For more details on SAM 2's architecture and capabilities, explore the [SAM 2 re
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SAM 2 can be utilized for real-time video segmentation by leveraging its promptable interface and real-time inference capabilities. Here's a basic example:
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!!! Example "Segment with Prompts"
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!!! example "Segment with Prompts"
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Use prompts to segment specific objects in images or videos.
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