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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MatthewNoyce 2024-09-06 16:33:26 +01:00 committed by GitHub
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@ -116,7 +116,7 @@ SAM 2 can be utilized across a broad spectrum of tasks, including real-time vide
#### Segment with Prompts
!!! Example "Segment with Prompts"
!!! example "Segment with Prompts"
Use prompts to segment specific objects in images or videos.
@ -140,7 +140,7 @@ SAM 2 can be utilized across a broad spectrum of tasks, including real-time vide
#### Segment Everything
!!! Example "Segment Everything"
!!! example "Segment Everything"
Segment the entire image or video content without specific prompts.
@ -185,7 +185,7 @@ This comparison shows the order-of-magnitude differences in the model sizes and
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:
!!! Example
!!! example
=== "Python"
@ -217,7 +217,7 @@ Auto-annotation is a powerful feature of SAM 2, enabling users to generate segme
To auto-annotate your dataset using SAM 2, follow this example:
!!! Example "Auto-Annotation Example"
!!! example "Auto-Annotation Example"
```python
from ultralytics.data.annotator import auto_annotate
@ -248,7 +248,7 @@ Despite its strengths, SAM 2 has certain limitations:
If SAM 2 is a crucial part of your research or development work, please cite it using the following reference:
!!! Quote ""
!!! quote ""
=== "BibTeX"
@ -281,7 +281,7 @@ For more details on SAM 2's architecture and capabilities, explore the [SAM 2 re
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:
!!! Example "Segment with Prompts"
!!! example "Segment with Prompts"
Use prompts to segment specific objects in images or videos.