Hi$!$

When I run this code, it just shows the gui and a frozen display where it should've continuously show the display from the rasapberry pi camera lens. Currently learning Yolov$5$ object detection in real$-$time $($use of picamera$2$ module is a must in the latest python update in raspberry pi$).$ Please show me how I can continuously run the camera of the raspberry pi so that it can detect object in real$-$time. This code is running in raspberry pi $64-$bit Bullseye system and I am using raspberry pi camera v$2.$ Thank you so much to the person that will help me solve this camera problem

The code $($run in Thonny$)$:

import tkinter as tk

from tkinter import Label, Frame

import torch

from picamera$2$ import Picamera$2$

import numpy as np

from PIL import Image, ImageTk

model $=$ torch.hub.load$(\text{'}$ultralytics$/$yolov$5\text{'},$ 'custom', path$=$'yolov$5/$best$.$pt$\text{'},$force$\_$reload$=$True$)$

model.conf $=0\mathrm{.}2$

app $=$ tk$.$Tk$()$

app.geometry$("700$x$600")$

app.title$("$GUI$")$

label$1=$ Label$($app$,$ text$=$'detectionTest', font$=("$Arial$",24))$

label$1.$pack$($side$=$'top', pady$=20)$

vid$\_$frame $=$ Frame$($height$=600,$ width$=600)$

vid$\_$frame.pack$()$

vid $=$ Label$($vid$\_$frame$)$

vid.pack$()$

camera $=$ Picamera$2()$

camera$\_$config $=$ camera.create$\_$preview$\_$configuration$($main$=\{"$size$"$:$(640,480)\})$

camera.configure$($camera$\_$config$)$

camera.start$()$

def detect$()$:

while True:

request $=$ camera.capture$\_$request$()$

frame $=$ request.make$\_$array$(\text{'}$main$\text{'})$

results $=$ model$($frame$)$

output$\_$image $=$ np$.$squeeze$($results$.$render$())$

display$\_$image $=$ Image.fromarray$($output$\_$image$)$

imgtk $=$ ImageTk.PhotoImage$($image$=$display$\_$image$)$

vid.imgtk $=$ imgtk

vid.configure$($image$=$imgtk$)$

vid.after$(10,$ detect$)$

break

detect$()$

app.mainloop$()$