ultralytics 8.0.41 TF SavedModel and EdgeTPU export (#1034)

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Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
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Glenn Jocher 2023-02-20 01:27:28 +01:00 committed by GitHub
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@ -39,17 +39,19 @@ the [Configuration](cfg.md) page.
yolo detect train data=coco128.yaml model=yolov8n.pt epochs=100 imgsz=640
yolo detect train resume model=last.pt # resume training
```
## Val
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 ""
```bash
yolo detect val model=yolov8n.pt # val official model
yolo detect val model=path/to/best.pt # val custom model
```
## Predict
Use a trained YOLOv8n model to run predictions on images.
@ -60,12 +62,13 @@ Use a trained YOLOv8n model to run predictions on images.
yolo detect predict model=yolov8n.pt source="https://ultralytics.com/images/bus.jpg" # predict with official model
yolo detect predict model=path/to/best.pt source="https://ultralytics.com/images/bus.jpg" # predict with custom model
```
## Export
Export a YOLOv8n model to a different format like ONNX, CoreML, etc.
!!! example ""
```bash
yolo export model=yolov8n.pt format=onnx # export official model
yolo export model=path/to/best.pt format=onnx # export custom trained model