this simple code I wrote does not work on the picture I uploaded. how can I improve the code? It should detect shapes without detecting lines.

import cv$2$

import numpy as np

import argparse

def angle$($pt$1,$ pt$2,$ pt$0)$:

# pt$1$ ve pt$0$ aras$$ndaki kenar$$n x$\text{'}$i $($pt$1$x $-$ pt$0$x$)$

dx$1=$ pt$1[0]-$ pt$0[0]$

# pt$1$ ve pt$0$ aras$$ndaki kenar$$n y'si $($pt$1$y $-$ pt$0$y$)$

dy$1=$ pt$1[1]-$ pt$0[1]$

# pt$2$ ve pt$0$ aras$$ndaki kenar$$n x$\text{'}$i $($pt$2$x $-$ pt$0$x$)$

dx$2=$ pt$2[0]-$ pt$0[0]$

# pt$2$ ve pt$0$ aras$$ndaki kenar$$n y'si $($pt$2$y $-$ pt$0$y$)$

dy$2=$ pt$2[1]-$ pt$0[1]$

return $($dx$1*$ dx$2+$ dy$1*$ dy$2)/$ np$.$sqrt$(($dx$1*$ dx$1+$ dy$1*$ dy$1)*($dx$2*$ dx$2+$ dy$2*$ dy$2))$

def main$($input$\_$image$)$:

input$\_$path $="$C:$/$Users$/$burak$/$Desktop$/$Shape Recognition & Detection$/$data$/$input$/"$

output$\_$path $="$C:$/$Users$/$burak$/$Desktop$/$Shape Recognition & Detection$/$data$/$output$"$

image $=$ cv$2.$imread$($input$\_$path $+$ input$\_$image$)$

if image is None:

print$("$Resim a$$lamad$$ ya da y$$klenemedi$.")$

return

# gri

gray $=$ cv$2.$cvtColor$($image$,$ cv$2.$COLOR$\_$BGR$2$GRAY$)$

cv$2.$imwrite$($output$\_$path $+"\backslash \backslash$output$\_$gray.png$",$ gray$)$

# blurlama

blurred $=$ cv$2.$GaussianBlur$($gray$,(5,5),0)$

cv$2.$imwrite$($output$\_$path $+"\backslash \backslash$output$\_$blurred.png$",$ blurred$)$

# kenar alg$$lama

edged $=$ cv$2.$Canny$($blurred$,100,200)$

cv$2.$imwrite$($output$\_$path $+"\backslash \backslash$output$\_$edged.png$",$ edged$)$

# kontor bulma

contours, $\_=$ cv$2.$findContours$($edged$,$ cv$2.$RETR$\_$EXTERNAL, cv$2.$CHAIN$\_$APPROX$\_$SIMPLE$)$

# $$ekil alg$$lama

for contour in contours:

shape $=""$

peri $=$ cv$2.$arcLength$($contour$,$ True$)$

approx $=$ cv$2.$approxPolyDP$($contour$,0\mathrm{.}02*$ peri, True$)$

if len$($approx$)==3$:

shape $=$ "triangle"

elif len$($approx$)==4$:

max$\_$cosine $=0$

for j in range$(2,5)$:

cosine $=$ abs$($angle$($approx$[$j $\%4][0],$ approx$[$j $-2][0],$ approx$[$j $-1][0]))$

max$\_$cosine $=$ max$($max$\_$cosine, cosine$)$

if max$\_$cosine $<mtext\; id="EditorElement\_4798771"></mtext><mn\; id="EditorElement\_4798772">0</mn><mn\; id="EditorElement\_4798773">.</mn><mn\; id="EditorElement\_4798774">3</mn>$:

# kare

edges $=[]$

for i in range$(4)$:

pt$1=$ approx$[$i$][0]$

pt$2=$ approx$[($i $+1)\%4][0]$

edge$\_$length $=$ np$.$sqrt$(($pt$1[0]-$ pt$2[0])**2+($pt$1[1]-$ pt$2[1])**2)$

edges.append$($edge$\_$length$)$

# kenarlar e$$it mi

if max$($edges$)-$ min$($edges$)<mtext\; id="EditorElement\_4799167"></mtext><mn\; id="EditorElement\_4799168">1</mn><mn\; id="EditorElement\_4799169">0</mn>$:

shape $=$ "square"

else:

shape $=$ "rectangle"

else:

edges $=[]$

for i in range$(4)$:

pt$1=$ approx$[$i$][0]$

pt$2=$ approx$[($i $+1)\%4][0]$

edge$\_$length $=$ np$.$sqrt$(($pt$1[0]-$ pt$2[0])**2+($pt$1[1]-$ pt$2[1])**2)$

edges.append$($edge$\_$length$)$

edges $=$ sorted$($edges$)$

if abs$($edges$[0]-$ edges$[1])<mtext\; id="EditorElement\_4799660"></mtext><mn\; id="EditorElement\_4799661">5</mn><mn\; id="EditorElement\_4799662">0</mn>$ and abs$($edges$[2]-$ edges$[3])<mtext\; id="EditorElement\_4799694"></mtext><mn\; id="EditorElement\_4799695">5</mn><mn\; id="EditorElement\_4799696">0</mn>$:

shape $=$ "parallelogram"

elif abs$($edges$[0]-$ edges$[1])<mtext\; id="EditorElement\_4799790"></mtext><mn\; id="EditorElement\_4799791">5</mn><mn\; id="EditorElement\_4799792">0</mn>$ or abs$($edges$[2]-$ edges$[3])<mtext\; id="EditorElement\_4799823"></mtext><mn\; id="EditorElement\_4799824">5</mn><mn\; id="EditorElement\_4799825">0</mn>$:

shape $=$ "trapezoid"

elif len$($approx$)>4$:

shape $=$ "circle"

cv$2.$drawContours$($image$,[$contour$],-1,(0,255,0),2)$

M $=$ cv$2.$moments$($contour$)$

cX $=$ int$($M$["$m$10"]/$ M$["$m$00"])$

cY $=$ int$($M$["$m$01"]/$ M$["$m$00"])$

cv$2.$putText$($image$,$ shape, $($cX $-50,$ cY$),$ cv$2.$FONT$\_$HERSHEY$\_$SIMPLEX, $0\mathrm{.}5,(255,0,0),1)$

# output

cv$2.$imwrite$($output$\_$path $+"\backslash \backslash$output$\_$shapes.png$",$ image$)$

cv$2.$imshow$("$Shapes$",$ image$)$

cv$2.$waitKey$(0)$

cv$2.$destroyAllWindows$()$

if $\_\_$name$\_\_=="\_\_$main$\_\_"$:

parser $=$ argparse.ArgumentParser$($description$=$"Shape detection in an image."$)$

parser.add$\_$argument$("$input$\_$image", type$=$str$,$ help$=$"Input'un dosya yolu."$)$

args $=$ parser.parse$\_$args$()$

main$($args$.$input$\_$image$)$

#python sekilalgilama.py shapes.png