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Add Hindi हिन्दी and Arabic العربية Docs translations (#6428)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Glenn Jocher 2023-11-18 21:51:47 +01:00 • committed by GitHub
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16
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 & Python Usage and Live Inference
</p>
!!! example
!!! Example
=== "Syntax"
@ -80,7 +80,7 @@ Where:
- `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`
GitHub [source](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/default.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.
@ -92,7 +92,7 @@ Where:
Train YOLOv8n on the COCO128 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"
@ -112,7 +112,7 @@ Train YOLOv8n on the COCO128 dataset for 100 epochs at image size 640. For a ful
Validate trained YOLOv8n model accuracy on the COCO128 dataset. No argument need to passed as the `model` retains it's training `data` and arguments as model attributes.
!!! example "Example"
!!! Example "Example"
=== "Official"
@ -132,7 +132,7 @@ Validate trained YOLOv8n model accuracy on the COCO128 dataset. No argument need
Use a trained YOLOv8n model to run predictions on images.
!!! example "Example"
!!! Example "Example"
=== "Official"
@ -152,7 +152,7 @@ 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"
@ -190,7 +190,7 @@ Available YOLOv8 export formats are in the table below. You can export to any fo
Default arguments can be overridden by simply passing them as arguments in the CLI in `arg=value` pairs.
!!! tip ""
!!! Tip ""
=== "Train"
Train a detection model for `10 epochs` with `learning_rate` of `0.01`
@ -218,7 +218,7 @@ 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"
```bash