Added yolov9 compatibility

[Hamzalopode]

Added Yolov9 compatibility:

• Yolov9 model download for E & C
• Yolov9 process ( same as yolov8 )

Other model size and demo predict will be added with time.

[fcakyon]

Amazing contribution @Hamzalopode! 🚀

Please fix the errors raised in tests by:

• Install required development packages:

pip install -e ."[dev]"

• Reformat with black and isort:

python -m scripts.run_code_style format

• Commit and push 💯

[Hamzalopode]

Thanks @fcakyon !

I think everything looks good now. Let me know if there is anything else.

🚀

[fcakyon]

@Hamzalopode for some reason, you updated all the prior notebook files. Can you please revert these changes?

Other than that all seems OK 🚀

[Hamzalopode]

Done.

Sorry I thought that applying the styling format for the notebooks was a good idea.

[GuillaumeBruand]

@Hamzalopode
Can we add one level of abstraction to integrate common features between yolov8 and yolov9 (see e.g. PR #988)
As far as I know there is full compatibility between the two models.

[Hamzalopode]

Fixed merge conflict between the two branch.

[eniktab]

getting the following error when trying to use

TypeError: ERROR ❌️ ../weights/best.pt appears to be an Ultralytics YOLOv5 model originally trained with https://github.com/ultralytics/yolov5.
This model is NOT forwards compatible with YOLOv8 at https://github.com/ultralytics/ultralytics.
Recommend fixes are to train a new model using the latest 'ultralytics' package or to run a command with an official Ultralytics model, i.e. 'yolo predict model=yolov8n.pt'

The training was like

train_dual.py --sync-bn ---img 640 --cfg models/detect/yolov9-c.yaml --weights '' --name yolov9-c --hyp hyp.scratch-high.yaml

[weertman]

Interested in using yolov9 but cannot figure out how to get this to work. I have a custom yolov9-e model and its yaml but I cannot find any documentation on how to use it with SAHI. I've been butting my head against this for a bit and wondering if this has had any progress.