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CLI Simplification (#449)

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Glenn Jocher 2023-01-17 23:00:33 +01:00 • committed by GitHub
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@ -91,7 +91,7 @@ pip install ultralytics
YOLOv8 may be used directly in the Command Line Interface (CLI) with a `yolo` command:
```bash
yolo task=detect mode=predict model=yolov8n.pt source="https://ultralytics.com/images/bus.jpg"
yolo predict model=yolov8n.pt source="https://ultralytics.com/images/bus.jpg"
```
`yolo` can be used for a variety of tasks and modes and accepts additional arguments, i.e. `imgsz=640`. See a full list
@ -158,10 +158,10 @@ See [Detection Docs](https://docs.ultralytics.com/tasks/detection/) for usage ex
| [YOLOv8x](https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8x.pt) | 640 | 53.9 | 479.1 | 3.53 | 68.2 | 257.8 |
- **mAP<sup>val</sup>** values are for single-model single-scale on [COCO val2017](http://cocodataset.org) dataset.
<br>Reproduce by `yolo mode=val task=detect data=coco.yaml device=0`
<br>Reproduce by `yolo val detect data=coco.yaml device=0`
- **Speed** averaged over COCO val images using an [Amazon EC2 P4d](https://aws.amazon.com/ec2/instance-types/p4/)
instance.
<br>Reproduce by `yolo mode=val task=detect data=coco128.yaml batch=1 device=0/cpu`
<br>Reproduce by `yolo val detect data=coco128.yaml batch=1 device=0/cpu`
</details>
@ -178,10 +178,10 @@ See [Segmentation Docs](https://docs.ultralytics.com/tasks/segmentation/) for us
| [YOLOv8x](https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8x-seg.pt) | 640 | 53.4 | 43.4 | 712.1 | 4.02 | 71.8 | 344.1 |
- **mAP<sup>val</sup>** values are for single-model single-scale on [COCO val2017](http://cocodataset.org) dataset.
<br>Reproduce by `yolo mode=val task=segment data=coco.yaml device=0`
<br>Reproduce by `yolo val segment data=coco.yaml device=0`
- **Speed** averaged over COCO val images using an [Amazon EC2 P4d](https://aws.amazon.com/ec2/instance-types/p4/)
instance.
<br>Reproduce by `yolo mode=val task=segment data=coco128-seg.yaml batch=1 device=0/cpu`
<br>Reproduce by `yolo val segment data=coco128-seg.yaml batch=1 device=0/cpu`
</details>
@ -198,10 +198,10 @@ See [Classification Docs](https://docs.ultralytics.com/tasks/classification/) fo
| [YOLOv8x](https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8x-cls.pt) | 224 | 78.4 | 94.3 | 232.0 | 1.01 | 57.4 | 154.8 |
- **acc** values are model accuracies on the [ImageNet](https://www.image-net.org/) dataset validation set.
<br>Reproduce by `yolo mode=val task=classify data=path/to/ImageNet device=0`
<br>Reproduce by `yolo val classify data=path/to/ImageNet device=0`
- **Speed** averaged over ImageNet val images using an [Amazon EC2 P4d](https://aws.amazon.com/ec2/instance-types/p4/)
instance.
<br>Reproduce by `yolo mode=val task=classify data=path/to/ImageNet batch=1 device=0/cpu`
<br>Reproduce by `yolo val classify data=path/to/ImageNet batch=1 device=0/cpu`
</details>