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ultralytics 8.0.18 new python callbacks and minor fixes (#580)

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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Ayush Chaurasia 2023-01-23 23:01:29 +05:30 • committed by GitHub
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@ -70,7 +70,7 @@ YOLOv8 可以直接在命令行界面（CLI）中使用 `yolo` 命令运行：
yolo predict model=yolov8n.pt source="https://ultralytics.com/images/bus.jpg"
```
`yolo`可以用于各种任务和模式，并接受额外的参数，例如 `imgsz=640`。参见 YOLOv8 [文档](https://docs.ultralytics.com)中可用`yolo`[参数](https://docs.ultralytics.com/config/)的完整列表。
`yolo`可以用于各种任务和模式，并接受额外的参数，例如 `imgsz=640`。参见 YOLOv8 [文档](https://docs.ultralytics.com)中可用`yolo`[参数](https://docs.ultralytics.com/cfg/)的完整列表。
```bash
yolo task=detect mode=train model=yolov8n.pt args...
@ -79,7 +79,7 @@ yolo task=detect mode=train model=yolov8n.pt args...
export yolov8n.pt format=onnx args...
```
YOLOv8 也可以在 Python 环境中直接使用，并接受与上面 CLI 例子中相同的[参数](https://docs.ultralytics.com/config/)：
YOLOv8 也可以在 Python 环境中直接使用，并接受与上面 CLI 例子中相同的[参数](https://docs.ultralytics.com/cfg/)：
```python
from ultralytics import YOLO