[Python] Developing object detection system using flet and opencv

My interest is related to the artificial intelligence and specifically i want to develop a flat app, that using camera, detects object(person in this case) and will calculate its age and gender, in the future i am going to use this app in mobile development side(ios or android systems), therefore i decided to create a simple app for this task

here is my code :

from flet import *
import base64
import dlib
import cv2
import math
import flet as ft
from flet_core import UserControl

cap =cv2.VideoCapture(0)
detector =dlib.get_frontal_face_detector()
predictor =dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
def estimate_age(shape):
eye_distance =math.sqrt((shape.part(45).x-shape.part(36).x)**2+(shape.part(45).y-shape.part(36).y)**2)
age =eye_distance*0.3
return int(age)

def estimate_gender(shape):
lip_distance =math.sqrt((shape.part(62).x-shape.part(66).x)**2+(shape.part(62).y-shape.part(66).y)**2)
if lip_distance>25:
gender ="Male"
else:
gender ="Female"
return gender

class YourFace(UserControl):
def __init__(self):
super().__init__()
self.your_gender =Text(
value ="",size=30,weight=ft.FontWeight(value="bold"),
color ='white'
)
self.your_age = Text(
value="", size=30, weight=ft.FontWeight(value="bold"),
color='white'
)
def did_mount(self):
self.update_timer()
def update_timer(self):
while True:
_,frame =cap.read()
gray =cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
rects =detector(gray,0)
if len(rects)>0:
for rect in rects:
x,y,w,h =rect.left(),rect.top(),rect.width(),rect.height()
cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),2)
shape =predictor(gray,rect)
age =estimate_age(shape)
gender =estimate_gender(shape)
cv2.putText(frame,f'your age is {age}',(x,y-10),
cv2.FONT_HERSHEY_SIMPLEX,0.5,(0,255,0),2)
cv2.putText(frame, f'your gender is {gender}', (x, y+h + 10),
cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
self.your_age.value =age
self.your_gender.value =gender
self.page.update()
else:
cv2.putText(frame, "no person ", (10,30),
cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
_,im_arr =cv2.imencode(".png",frame)
im_b64 =base64.b64encode(im_arr)
self.img.src_base64 =im_b64.decode('utf-8')
self.update()
def build(self):
self.img =Image(
border_radius=border_radius.all(20)

)
return Column(
[
self.img,
Row([
Text("Gender :",size=30,weight="bold",color='white'),
self.your_gender]),

Row([
Text("Age :", size=30, weight="bold", color='white'),
self.your_age]),
]
)


section =Container(

margin=margin.only(bottom=40),
content=Row(
[
Card(
elevation=30,
content=Container(
bgcolor='blue',
padding=10,
border_radius=border_radius.all(20),
content=Column([
Text("Face Cam Flet",size=30,
weight="bold",color='white'),
YourFace()
])
)
)
],alignment='center'

)
)


def main(pageage):
page.padding =30
page.window.left =page.window.left+10
page.theme_mode ='light'
page.add(section)
# page.update()
if __name__=="__main__":
ft.app(target=main)
cap.release()
cv2.destroyAllWindows()


result of this code is given as :

flet result

camera turns on but i can't see image, i think that there is some kind of overlapping maybe between text and camera, can you tell me please what is source of problem?

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