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Update to lowercase MkDocs admonitions (#15990)

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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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docs/en/usage/cli.md
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@ -19,7 +19,7 @@ The YOLO command line interface (CLI) allows for simple single-line commands wit
<strong>Watch:</strong> Mastering Ultralytics YOLOv8: CLI
</p>
!!! Example
!!! example
=== "Syntax"
@ -79,7 +79,7 @@ Where:
- `MODE` (required) is one of `[train, val, predict, export, track, benchmark]`
- `ARGS` (optional) are any number of custom `arg=value` pairs like `imgsz=320` that override defaults. For a full list of available `ARGS` see the [Configuration](cfg.md) page and `defaults.yaml`
!!! Warning "Warning"
!!! warning "Warning"
Arguments must be passed as `arg=val` pairs, split by an equals `=` sign and delimited by spaces ` ` between pairs. Do not use `--` argument prefixes or commas `,` between arguments.
@ -91,7 +91,7 @@ Where:
Train YOLOv8n on the COCO8 dataset for 100 epochs at image size 640. For a full list of available arguments see the [Configuration](cfg.md) page.
!!! Example "Example"
!!! example "Example"
=== "Train"
@ -111,7 +111,7 @@ Train YOLOv8n on the COCO8 dataset for 100 epochs at image size 640. For a full
Validate trained YOLOv8n model accuracy on the COCO8 dataset. No argument need to passed as the `model` retains its training `data` and arguments as model attributes.
!!! Example "Example"
!!! example "Example"
=== "Official"
@ -131,7 +131,7 @@ Validate trained YOLOv8n model accuracy on the COCO8 dataset. No argument need t
Use a trained YOLOv8n model to run predictions on images.
!!! Example "Example"
!!! example "Example"
=== "Official"
@ -151,7 +151,7 @@ Use a trained YOLOv8n model to run predictions on images.
Export a YOLOv8n model to a different format like ONNX, CoreML, etc.
!!! Example "Example"
!!! example "Example"
=== "Official"
@ -177,7 +177,7 @@ See full `export` details in the [Export](../modes/export.md) page.
Default arguments can be overridden by simply passing them as arguments in the CLI in `arg=value` pairs.
!!! Tip ""
!!! tip ""
=== "Train"
@ -208,7 +208,7 @@ To do this first create a copy of `default.yaml` in your current working dir wit
This will create `default_copy.yaml`, which you can then pass as `cfg=default_copy.yaml` along with any additional args, like `imgsz=320` in this example:
!!! Example
!!! example
=== "CLI"