FACE AND EYE DETECTION USING PYTHON VERY SIMPLE STEPS

 

Face and Eye Detection step by step Step

#1 Installing Requirements

Open cmd and type pip install OpenCV-python and pip install NumPy press Enter

And wait for several minutes to install OpenCV then install Numpy

#2 Creating a folder and paste files

First, make a folder and give a name

Then you need two haarcascade (haarcascade_frontalface_default ; haarcascade_eye) file to the folder which you have created earlier

MAKE A FOLDER AND PASTE BOTH FILES HERE

#3 Open the folder on an editor and start coding

for face and eye detection

Open the folder on an editor.

I am using Visual Studio Code and create a file Face_Eye_Detection.py

MAKING FILE AND GIVING NAME

FACE DETECTION USING PYTHON

Then Start Writing the Code

#Note in cap = cv2.VideoCapture (0)

 I am using 0 because

 I am using internal camera

 If you are using external camera 

Then you put 1 #

import numpy as np
import cv2



face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')


cap = cv2.VideoCapture(0)

while 1:
    ret, img = cap.read()
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.1, 4)
   

    for (x,y,w,h) in faces:
        cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
        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),(0,255,0),2)



    cv2.imshow('img',img)
    k = cv2.waitKey(30) & 0xff
    if k == 27:
        break

cap.release()
cv2.destroyAllWindows()

Contact me on Telegram if any problem:-  @odeyash

#4 READY TO RUN

RUN THE Face_Eye_Detection.py file