Could somebody help me to fix my problem? The code ill provide is shoown below, and I need a help based on these cde how csn i implement the code here for the deepsort algorithm?

from flask import Flask, render$\_$template, Response

from ultralytics import YOLO

import cv$2$

import math

app $=$ Flask$(\_\_$name$\_\_)$

# model

model $=$ YOLO$("$best$.$pt$")$

# start webcam

cap $=$ cv$2.$VideoCapture$(0)$

cap.set$(3,640)$

cap.set$(4,480)$

# object classes

classNames $=["$person$"]$

def generate$\_$frames$()$:

# before your while loop

tick$1=$ cv$2.$getTickCount$()$

frame$\_$count $=0$

fps $=0$

while True:

success, img $=$ cap.read$()$

img $=$ cv$2.$resize$($img$,(640,480))$

results $=$ model.track$($img$,$ stream$=$True,persist$=$True,tracker$=$"bytetrack.yaml"$)$

# coordinates

for r in results:

boxes $=$ r$.$boxes

for box in boxes:

# bounding box

x$1,$ y$1,$ x$2,$ y$2=[$int$($x$)$ for x in box.xyxy$[0]]$ # convert to int values once

# put box in cam

cv$2.$rectangle$($img$,($x$1,$ y$1),($x$2,$ y$2),(0,255,0),5)$

# confidence

confidence $=$ math.ceil$(($box$.$conf$[0]*100))/100$

print$("$Confidence $--->",$confidence$)$

# class name

cls $=$ int$($box$.$cls$[0])$

class$\_$name $=$ classNames$[$cls$]$

print$($f$"$Class name $-->\{$class$\_$name$\}")$

# concatenate class name and confidence

label $=$ f$"\{$classNames$[$cls$]\}$: $\{$confidence$\}"$

# object details

org $=[$x$1,$ y$1]$

font $=$ cv$2.$FONT$\_$HERSHEY$\_$SIMPLEX

fontScale $=1$

color $=(0,255,0)$

thickness $=2$

frame$\_$count $+=1$

if frame$\_$count $\%10==0$:

tick$2=$ cv$2.$getTickCount$()$

time $=($tick$2-$ tick$1)/$ cv$2.$getTickFrequency$()$

fps $=$ frame$\_$count $/$ time

tick$1=$ tick$2$

frame$\_$count $=0$

cv$2.$putText$($img$,$ f$"$FPS: $\{$fps:$\mathrm{.}2$f$\}",(10,50),$ cv$2.$FONT$\_$HERSHEY$\_$SIMPLEX, $1,(0,255,0),2)$

cv$2.$putText$($img$,$ label, org, font, fontScale, color, thickness$)$

# encode OpenCV raw frame to jpg and displaying it

ret, jpeg $=$ cv$2.$imencode$(\text{'}.$jpg$\text{'},$ img$)$

frame $=$ jpeg.tobytes$()$

yield $($b$\text{'}--$frame$$r

$\text{'}$

b'Content$-$Type: image$/$jpeg$$r

$$r

$\text{'}+$ frame $+$ b$\text{'}$r

$$r

$\text{'})$

@app.route$(\text{'}/$video$\text{'})$

def video$()$:

return Response$($generate$\_$frames$(),$ mimetype$=$'multipart$/$x$-$mixed$-$replace; boundary$=$frame'$)$

@app.route$(\text{'}/\text{'})$

def index$()$:

return render$\_$template$(\text{'}$trial$.$html$\text{'})$

if $\_\_$name$\_\_==\text{'}\_\_$main$\_\_\text{'}$:

app.run$($host$=\text{'}0\mathrm{.}0\mathrm{.}0\mathrm{.}0\text{'},$ debug$=$True$)$

Answer rating: 100% (QA)

Heres how you can modify your existing code to incorporate deepsort using the deepsort library from ... View the full answer