ultralytics 8.0.41 TF SavedModel and EdgeTPU export (#1034)
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Noobtoss <96134731+Noobtoss@users.noreply.github.com> Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
This commit is contained in:
parent
4b866c9718
commit
f6e393c1d2
64 changed files with 604 additions and 351 deletions
|
|
@ -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
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue