latest/detection/core/

[giscus[bot]]

latest/detection/core/

A set of easy-to-use utilities that will come in handy in any computer vision project.

https://supervision.roboflow.com/latest/detection/core/

[jeffrymahbuubi]

Hi, I was wondering if the sv.Detections.from_ultralytics function would work with the stream=True argument, as the results will return a generator. I tried using sv.Detections.from_ultralytics, but it seems it can't process this generator. I wonder if there is any added benefit to using stream=True when combining Supervision with the Roboflow Inference library.

def predict(self, image: np.ndarray) -> sv.Detections:
    results = self.model(image, verbose=False, device=self.device, stream=True)[0]
    return sv.Detections.from_ultralytics(results)

[LinasKo]

Hi @jeffrymahbuubi 👋

My understanding is that stream mode is typically used for videos and streams to avoid loading them into memory. We don't support stream in Ultralytics, but have a few alternatives.

For videos, you can use get_video_frames_generator. Our typical recommendation for streams is to use InferencePipeline with Roboflow models instead.

[olawalejuwonm]

This is a great library. I've used it for a research project, but I'm curious to know if there is any paper on it that i can cite?

[LinasKo]

Hi @olawalejuwonm 👋,

Glad to hear it's useful! If you go to the Repository page, on the right-hand side, you'll see a "Cite this repository" button. That should provide a copyable snippet for you.

Thanks again for the kind words!