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bodyDetector.py
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bodyDetector.py
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import cv2
import os
import winsound
import pyautogui as py
#Classifiers
fbody_cascade=cv2.CascadeClassifier("haarcascade_fullbody.xml")
lbody_cascade=cv2.CascadeClassifier("haarcascade_lowerbody.xml")
ubody_cascade=cv2.CascadeClassifier("haarcascade_upperbody.xml")
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_alt.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
#setting frequency and duration
frequency = 2500 # Set Frequency To 2500 Hertz
duration = 1000# Set Duration To 1000 ms == 1 second
cap=cv2.VideoCapture(0)
fourcc=cv2.VideoWriter_fourcc(*"XVID")
out=cv2.VideoWriter('output.avi',fourcc,20.0,(640,480))
while True:
ret, img=cap.read()
#out.write(img)
gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
fbody=fbody_cascade.detectMultiScale(gray,scaleFactor=1.1,minNeighbors=3)
for (fx,fy,fw,fh) in fbody:
cv2.rectangle(img,(fx,fy),(fx+fw,fy+fh),(0,255,0),4)
lbody=lbody_cascade.detectMultiScale(gray,scaleFactor=1.1,minNeighbors=3)
for (lx,ly,lw,lh) in lbody:
cv2.rectangle(img,(lx,ly),(lx+lw,ly+lh),(0,255,0),4)
ubody=lbody_cascade.detectMultiScale(gray,scaleFactor=1.1,minNeighbors=3)
for (ux,uy,uw,uh) in ubody:
cv2.rectangle(img,(ux,uy),(ux+uw,uy+uh),(0,255,0),4)
faces = face_cascade.detectMultiScale(gray, scaleFactor =1.1, minNeighbors = 5)
for (x,y,w,h) in faces:
cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),4)
#start to capture an image
roi_gray = gray[y:y+h, x:x+w]
roi_color = img[y:y+h, x:x+w]
eyes = eye_cascade.detectMultiScale(roi_gray)
for (ex,ey,ew,eh) in eyes:
cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,175,255),2)
lf=len(fbody)
ll=len(lbody)
lu=len(ubody)
lff=len(faces)
if ((lf>0) or (ll>0) or (lu>0) or (lff>0)):
out.write(img)
py.screenshot("Defaulter.png")
winsound.Beep(frequency, duration)
cv2.imshow('img',img)
k=cv2.waitKey(1) & 0xff
if k == 27:
break
cap.release()
out.release()
cv2.destroyAllWindows()