Visualizer

[hardikdava]

Search before asking

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

Description

supervision does not have any image or frame visualizer. Once the sv.Detections are processed then it is visualized by matplotlib or opencv. It would be nice to have a API for visualization. The idea is to create wrapper around opencv function as opencv is already dependency to the project.

Use case

Usage:

import supervision as sv
image = (...)

sv.Visualizer("Result", image, 0) # for single image viewer

sv.Visualizer("Result", image, 1) # for video frames viewer

Additional

Suggestion:

def Visualizer(window_name: str, frame: wait_key=0):
    cv2.imshow(window_name, frame)
    cv2.waitKey(wait_key)

Are you willing to submit a PR?

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

[SkalskiP]

Hi, @hardikdava 👋🏻! Thanks a lot for all the time you take to think about new supervision features. As for this one, let's keep it for later. I guess we have higher-priority stuff - model evaluation and composable annotators that we should build first. But let's save it for later.

[SkalskiP]

@hardikdava, should that task still be on our TODO list?

[hardikdava]

@SkalskiP It is a minor but very useful feature. I let you to decide on this.

[hardikdava]

@SkalskiP May be we can add it to hacktoberfest issue.

[onuralpszr]

@SkalskiP @hardikdava also please consider this, if we add Visualizer that means they need to use full version opencv instead of headless as well. Somehow we need to check that in case of visualizer via "cv"

[SkalskiP]

@onuralpszr, good point!

[hardikdava]

@SkalskiP Then let's cancel it.

[SkalskiP]

Closing ;)