Added box mask annotators

[hardikdava]

Description

This PR is related to #421

List any dependencies that are required for this change.

Type of change

• New feature (non-breaking change which adds functionality)
• This change requires a documentation update

How has this change been tested, please provide a testcase or example of how you tested the change?

from ultralytics import YOLO
import cv2
import supervision as sv


image = cv2.imread("bus.jpg")

model = YOLO("yolov8n.pt")

detections = sv.Detections.from_ultralytics(model.predict(image, imgsz=416)[0])

box_mask_annotator = sv.BoxMaskAnnotator()
image = box_mask_annotator.annotate(image, detections)


cv2.imshow("Result", image)
cv2.waitKey(0)

Docs

• Docs updated? What were the changes:

[hardikdava]

@SkalskiP The document needs to be updated. Can you handle that?

[hardikdava]

@onuralpszr Can you review this?

[SkalskiP]

Hi, @hardikdava 👋🏻! I'll take a look now.

[onuralpszr]

@hardikdava we merge "faster" mask PR so we should replace that cv2.addWeighted this that code so it can be faster as well for start

[onuralpszr]

PR link : #426

[SkalskiP]

Could that be relevant in the context of this PR as well #426 ?

[onuralpszr]

@SkalskiP yes

[SkalskiP]

btw, @hardikdava you know that you can create branches directly in supervision? You don't need to do it in your fork.

[SkalskiP]

Example result:

[SkalskiP]

@onuralpszr and @hardikdava I updated the docs and tested them. It works. Should we merge it and go back if people complain about performance in the future?

[onuralpszr]

@onuralpszr and @hardikdava I updated the docs and tested them. It works. Should we merge it and go back if people complain about performance in the future?

Okay merge it. I also have different approach for performance I was thinking and we can always improve more too.