yolov5 instance segmentation inference

[DrawingProcess]

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• I have searched the Supervision issues and found no similar feature requests.

Description

yolov5 is a detection and 'instance segmentation' model.
so, I think If there is a mask area, I think it should be return.

like below

return cls(
    xyxy=yolov5_detections_predictions[:, :4],
    confidence=yolov5_detections_predictions[:, 4],
    class_id=yolov5_detections_predictions[:, 5].astype(int),
)

Use case

No response

Additional

No response

Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[LinasKo]

Hi @DrawingProcess 👋

Well spotted. I thought we had it. Still, let me check with the core team and check our stance on this.

Meanwhile, there are things we need to find out first:

1. Are yolov5 weights for segmentation available in Pytorch Hub. It would make our testing easier.
2. Can our from_ultralytics method handle yolov5 response? My guess is no.

• If yolov5 provides a list as a response, we should check both from_ultralytics(results) and from_ultralytics(results[0])

3. Is segmentation with yolov5 something you need for your project? In 99% of the cases, we'd recommend using yolov8 instead.

[Bhavay-2001]

Hi @DrawingProcess @LinasKo, can I start working on this if no one is working on this already?

[DrawingProcess]

@Bhavay-2001 Sure. I'll contribute to another part.

[LinasKo]

Hey @Bhavay-2001 , @DrawingProcess ,

I'd like to chat with the core team before starting this one.

Also, @DrawingProcess has priority here as he suggested working on it.

[Bhavay-2001]

Sure @LinasKo, if @DrawingProcess wants to work on this he can else I would be up to take this issue.
Thanks

[DrawingProcess]

@LinasKo If it's confirmed, I'll proceed.

[LinasKo]

@DrawingProcess, confirming half of it. You may start working after I check with @SkalskiP.

[DrawingProcess]

@LinasKo I checked it and I will send you PR after testing it.

[LinasKo]

Hi @DrawingProcess,

I spoke with the core team. It sounds like a useful change and your contribution would be most welcome. 😉

Please don't forget to include the Colab, as that speeds up our review process.

[Bhavay-2001]

Hi @DrawingProcess, are you working on this one?

[DrawingProcess]

Hi, Maybe I’m working at this week.

…

On Thu, Jul 18, 2024 at 13:26 Bhavay Malhotra ***@***.***> wrote: Hi @DrawingProcess <https://github.com/DrawingProcess>, are you working on this one? — Reply to this email directly, view it on GitHub <#1284 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AKEFPEM7GXTJWD4CVI6HWHDZM47XDAVCNFSM6AAAAABJMT45OGVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDEMZVGMYDKNJXGQ> . You are receiving this because you were mentioned.Message ID: ***@***.***>

[SkalskiP]

Hi @DrawingProcess 👋🏻 let us know if you need help or are overwhelmed by work. We can reassign this issue if you don't have time.

[Bhavay-2001]

Hi @SkalskiP, any active issues to work on right now which are needed for the upcoming release?

Also, I asked about adding the REDETR model soo any progress on that one?

Thanks

[DrawingProcess]

I have a little problem about torch.hub.load.
I think they are not yet fully supported for PyTorch Hub inference yolov5 seg model.

Here is my colab source.
https://colab.research.google.com/drive/1UizExI0Fs4zTSeLzN_UnIECJxn64mQgl?usp=sharing

[SkalskiP]

Hi @DrawingProcess, sorry to hear this. Looks like it breaks before you feed model results to supervision. Nothing we can do about it :/