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Update docs predict, buttons, reference (#6585)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Glenn Jocher 2023-11-25 17:59:01 +01:00 • committed by GitHub
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docs/en/usage/python.md
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@ -62,7 +62,7 @@ Train mode is used for training a YOLOv8 model on a custom dataset. In this mode
results = model.train(resume=True)
```
[Train Examples](../modes/train.md){ .md-button .md-button--primary}
[Train Examples](../modes/train.md){ .md-button }
## [Val](../modes/val.md)
@ -90,7 +90,7 @@ Val mode is used for validating a YOLOv8 model after it has been trained. In thi
model.val(data='coco128.yaml')
```
[Val Examples](../modes/val.md){ .md-button .md-button--primary}
[Val Examples](../modes/val.md){ .md-button }
## [Predict](../modes/predict.md)
@ -158,7 +158,7 @@ Predict mode is used for making predictions using a trained YOLOv8 model on new
result = result.numpy()
```
[Predict Examples](../modes/predict.md){ .md-button .md-button--primary}
[Predict Examples](../modes/predict.md){ .md-button }
## [Export](../modes/export.md)
@ -186,7 +186,7 @@ Export mode is used for exporting a YOLOv8 model to a format that can be used fo
model.export(format='onnx', device=0)
```
[Export Examples](../modes/export.md){ .md-button .md-button--primary}
[Export Examples](../modes/export.md){ .md-button }
## [Track](../modes/track.md)
@ -209,7 +209,7 @@ Track mode is used for tracking objects in real-time using a YOLOv8 model. In th
results = model.track(source="https://youtu.be/LNwODJXcvt4", show=True, tracker="bytetrack.yaml")
```
[Track Examples](../modes/track.md){ .md-button .md-button--primary}
[Track Examples](../modes/track.md){ .md-button }
## [Benchmark](../modes/benchmark.md)
@ -228,7 +228,7 @@ or `accuracy_top5` metrics (for classification), and the inference time in milli
benchmark(model='yolov8n.pt', data='coco8.yaml', imgsz=640, half=False, device=0)
```
[Benchmark Examples](../modes/benchmark.md){ .md-button .md-button--primary}
[Benchmark Examples](../modes/benchmark.md){ .md-button }
## Using Trainers
@ -259,4 +259,4 @@ or `accuracy_top5` metrics (for classification), and the inference time in milli
You can easily customize Trainers to support custom tasks or explore R&D ideas. Learn more about Customizing `Trainers`, `Validators` and `Predictors` to suit your project needs in the Customization Section.
[Customization tutorials](engine.md){ .md-button .md-button--primary}
[Customization tutorials](engine.md){ .md-button }