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copy_img=img.copy()
img2=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
cv2.imwrite('gray.png',img2)
blur = cv2.GaussianBlur(img2,(3,3),0)
cv2.imwrite('blur.png',blur)
canny=cv2.Canny(blur,100,200)
cv2.imwrite('canny.png',canny)
cnts,contours,hierarchy = cv2.findContours(canny, cv2.RETR_TREE,
cv2.CHAIN_APPROX_SIMPLE)

box1=[]
f_count=0
select=0
plate_width=0

for i in range(len(contours)):
cnt=contours[i]
area = cv2.contourArea(cnt)
x,y,w,h = cv2.boundingRect(cnt)
rect_area=w*h #area size
aspect_ratio = float(w)/h # ratio = width/height

i f
(aspect_ratio>=0.2)and(aspect_ratio<=1.0)and(rect_area>=100)and(rect_area<=800):
cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),1)
box1.append(cv2.boundingRect(cnt))

for i in range(len(box1)): ##Buble Sort on python
for j in range(len(box1)-(i+1)):
if box1[j][0]>box1[j+1][0]:
temp=box1[j]
box1[j]=box1[j+1]
box1[j+1]=temp

#to find number plate measureing length between rectangles
for m in range(len(box1)):
count=0
for n in range(m+1,(len(box1)-1)):
delta_x=abs(box1[n+1][0]-box1[m][0])
if delta_x > 150:
break
delta_y =abs(box1[n+1][1]-box1[m][1])
if delta_x ==0:
delta_x=1
if delta_y ==0:

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