Integration between celery and ultralytics with YOLOv8 using Django/Python

[JhonFrederick]

Context: I have a very basic django project, where I have a view which executes a celery task that is responsible for executing the detection of objects in a video.

Problem: When celery is not running, the detection of objects through ultralytics/yolov8 works perfectly, but once the celery is up, the detection cannot be generated, it seems that the celery will stay frozen. I would like to know if anyone knows what could be causing this behavior, since the console does not show any message

Packages

Django==4.1.13
opencv-python==4.8.1.78
supervision==0.16.0
ultralytics==8.0.208
lapx==0.5.5
celery==5.3.6

task

import cv2
import os
from celery import shared_task

from django.conf import settings
import supervision as sv
from ultralytics import YOLO

@shared_task
def run_prediction(source=""):
    source = "../model-YOLOv8/video1.mp4"
    model = YOLO(os.path.join(settings.BASE_DIR, "yolo_model", "models", "yolov8s.pt"))
    print("loaded model")
    video = cv2.VideoCapture(source)

    while video.isOpened() :
        # Read a frame from the video
        success, frame = video.read()
        print(success, "video read")
        if success:
            # Run YOLOv8 inference on the frame
            print(success, "starting prediction")
            results = model(
                frame,
                conf=0.2
            )[0]
            print("successfully prediction")
            detections = sv.Detections.from_ultralytics(results)
            print(detections)

    print("End analysis")
    # Release the video capture object
    video.release()
    cv2.destroyAllWindows()

    return "prediction success"

view

...
class HomeView(View):
    def get(self, request):
        if celery_is_up():
            run_prediction.delay()
        else:
            run_prediction()
        return HttpResponse("This is a get only view")

Image to show how it remains at that dead point

Thank you very much in advance