ultralytics / ultralytics

Ultralytics YOLO11 🚀

https://docs.ultralytics.com

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Is it possible use on Darknet ? #540

Closed hongu0603 closed 1 year ago

hongu0603 commented 1 year ago

Search before asking

[x] I have searched the YOLOv8 issues and discussions and found no similar questions.

Question

I want run yolov8 on Darknet, is it possible. If possible, how to change .pt to .weight and yaml to cfg, I have no idea now. thanks a lot

Additional

No response

AyushExel commented 1 year ago

No it's not. Could you describe your use case with darknet?

hongu0603 commented 1 year ago

The task (breast cancer detect ) before i was use yolov4 by Darknet, and now i want to use yolov8 replace yolov4

knoppmyth commented 1 year ago

Assuming you still have the dataset, retrain with YOLOv8. If memory serves (from when I experimented w/ YOLOv4), all you should need as a YAML file pointing to the location of your dataset and start the training. `path: /usr/src/datasets/Hand/ # dataset root dir train:

V1/images/train # train images (relative to 'path')
V2/images/train val: V1/images/val # val images (relative to 'path') test: # test images (optional)

Classes

nc: 1 # number of classes names: ['Hand'] # class names`

hongu0603 commented 1 year ago

@knoppmyth Sorry i can't really understand, in Darknet we need .cfg and .weight but if I retrain with YOLOv8 i just get .pt, i dosen't need to do any transform ?

knoppmyth commented 1 year ago

@hongu0603 You cannot take a YOLOv4 cfg and weights and run them with YOLOv8. If you want to use YOLOv8, you need to train a new model with it.

AyushExel commented 1 year ago

You can train any model with ultralytics repo. You can even train yolov4,v3 or even non-yolo model. You just have to prepare the cfg file properly. We'll add support for it soon.

hongu0603 commented 1 year ago

@knoppmyth yes, i konw i need to train a new model. @AyushExel Thanks for reply, i know i nees to prepare the cfg file, i just no ida how to transform yaml file to cfg file

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