draw wrong OrientedBoxAnnotator with InferenceSlicer

[DawnMagnet]

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• [X] I have searched the Supervision issues and found no similar bug report.

Bug

I'm using official yolov8m_obb.pt and if I write code like below

def callback(image_slice: np.ndarray) -> sv.Detections:
    result = model(image_slice)[0]
    return sv.Detections.from_ultralytics(result)
slicer = sv.InferenceSlicer(callback=callback, thread_workers=1)
detections = slicer(image)
bounding_box_annotator = sv.OrientedBoxAnnotator()
annotated_image = bounding_box_annotator.annotate(scene=image, detections=detections)

The OrientedBoxAnnotator in annotated_image was in the wrong place, and if i check variables inside detections it shows like below

Detections(xyxy=array([[     759.02,      8.0095,      770.99,      12.812]]), mask=None, confidence=array([    0.31441], dtype=float32), class_id=array([1]), tracker_id=None, data={'xyxyxyxy': array([[[     247.02,      8.3203],
        [     247.13,      12.812],
        [     258.99,      12.501],
        [     258.87,      8.0095]]], dtype=float32), 'class_name': array(['Van'], dtype='<U13')})

which xyxy can't match xyxyxyxy and boxes inside picture are wrong too

but if i don't use the InferenceSlicer, then the answer is correct

Environment

python = 3.9
dependencies = [
    "ultralytics~=8.2.45",
    "opencv-contrib-python~=4.10.0.84",
    "onnx~=1.16.1",
    "supervision~=0.21.0",
]

Minimal Reproducible Example

No response

Additional

No response

Are you willing to submit a PR?

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

[LinasKo]

Hi @DawnMagnet 👋

InferenceSlicer does not support OBB boxes at the moment. But it definitely should!

---

@Bhavay-2001, would you have some time to work on this?

Inside _run_callback of InferenceSlicer, there's a call to move_detections. Inside you'll find calls to move_boxes and move_masks. Notice that we don't mention data at all.

We need to create a function move_obb_boxes and place it inside move_detections, calling it if ORIENTED_BOX_COORDINATES key is in data.

[Bhavay-2001]

Sure @LinasKo, give me some time and I will have a look at this. Thanks

[SkalskiP]

Hi @DawnMagnet 👋🏻

@eric220 just submitted a PR aiming to fix this issue. It would greatly help us if you could test it on your example. All you need to do is:

1. uninstall supervision

pip uninstall -y supervision

2. install updated version

pip install git+https://github.com/eric220/supervision@develop

3. run your code

Like I said it would help us a lot to run this new version on your example. Thanks in advance 🙏🏻

[DawnMagnet]

thank you very much! I'll test this today

[SkalskiP]

@DawnMagnet awesome! Let me know how it went!

[DawnMagnet]

with my test, it's working prefectly, and the value of points now make sense, thank you again!

[SkalskiP]

Awesome! It's merged and accessible on develop. I'm closing the issue. Feel free to reopen it if you encounter more problems.