Skip to content

Instantly share code, notes, and snippets.

@seanbenhur
Created May 16, 2020 13:56
Show Gist options
  • Save seanbenhur/21dde16f69898bf28a1372c4d89b08af to your computer and use it in GitHub Desktop.
Save seanbenhur/21dde16f69898bf28a1372c4d89b08af to your computer and use it in GitHub Desktop.
This Face Detection code is built on using HaarCascade Classifier which will detect eyes and Face You will need Python to implement this code!! You should also install libraries numpy,opencv for this!! Which you can install it via pip-install command on your terminal
import cv2
face_cascade=cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade=cv2.CascadeClassifier('haarcascade_eye.xml')
cap=cv2.VideoCapture(0)
while True:
ret,img=cap.read()
gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
faces=face_cascade.detectMultiScale(gray)
for(x,y,w,h) in faces:
cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
face_gray=gray[y:y+h,x:x+w]
face_color=img[y:y+h,x:x+w]
eyes=eye_cascade.detectMultiScale(face_gray)
for(ex,ey,ew,eh) in eyes:
cv2.rectangle(face_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
cv2.imshow('img',img)
k=cv2.waitKey(30) & 0xff
if k==113:
break
cap.release()
cv2.destryAllWindows()
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment