how can i display label of detection in another language ?

[7assanx7]

i want to display prediction of bicycle in another language like arabic language so how can i do that in this code :

import cv2
import argparse
import pyttsx3

from ultralytics import YOLO
import supervision as sv

import numpy as np

def parse_arguments() -> argparse.Namespace:
parser = argparse.ArgumentParser(description="YOLOv8 live")
parser.add_argument(
"--webcam-resolution",
default=[1280, 720],
nargs=2,
type=int
)
args = parser.parse_args()
return args

def main():
args = parse_arguments()
frame_width, frame_height = args.webcam_resolution
cap = cv2.VideoCapture(0)
cap.set(cv2.CAP_PROP_FRAME_WIDTH, frame_width)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, frame_height)

model = YOLO("runs/detect/train29/weights/best.pt")

box_annotator = sv.BoxAnnotator(
    thickness=2,
    text_thickness=2,
    text_scale=1
)

while True:
    ret, frame = cap.read()
    font = cv2.FONT_HERSHEY_SIMPLEX

    result = model(frame, agnostic_nms=True)[0]
    detections = sv.Detections.from_yolov8(result)
    labels = [
        f"{model.model.names[class_id]} {confidence:0.75f}"
        for _, confidence, class_id, _
        in detections
    ]
    frame = box_annotator.annotate(
        scene=frame,
        detections=detections,
        labels=labels
    )

    cv2.imshow("yolov8", frame)


    if (cv2.waitKey(30) == 27):
        break

if name == "main":
main()

---

in specific more i want if yolo detect class 0 or bicycle display text "the label in any language " on webcam frame

[SkalskiP]

Hi, @7assanx7 👋🏻! Your labels are resolved here:

labels = [
    f"{model.model.names[class_id]} {confidence:0.75f}"
    for _, confidence, class_id, _
    in detections
]

If you want to display a different name you'll need to change this part f"{model.model.names[class_id]} {confidence:0.75f}".

[7assanx7]

What should i do in this part to display same result in different language?

[SkalskiP]

How about that? In general if class_id is 0 it will display ARABLIC_LABEL and ENGLISH_LABEL in other cases. IS that what you are looking for?

labels = [
    "ENGLISH_LABEL" if class_id != 0 else "ARABLIC_LABEL"
    for _, confidence, class_id, _
    in detections
]

[7assanx7]

Thank you very much it worked
last thing do you know how to fix the quistion marks when i used arabic language

[SkalskiP]

Oh my... I did some research, and it looks like I have bad news for you. I'm really sorry, but OpenCV (the library we sue for text rendering in Supervision) does not support the Arabic alphabet :/ We can add an alternative rendering engine, but that will not happen soon. I'm super sorry.

[7assanx7]

Oh my... I did some research, and it looks like I have bad news for you. I'm really sorry, but OpenCV (the library we sue for text rendering in Supervision) does not support the Arabic alphabet :/ We can add an alternative rendering engine, but that will not happen soon. I'm super sorry.

I understand, no problem. thanks for your help

[Davisonyeas]

How can I display the image of only 1 class that is detected?