Tuesday, March 21, 2017

Haar Cascade Object Detection Face & Eye

download OPENCV from here



import numpy as np
import cv2
#face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
#eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')

#create face and eyes cascade
#we point opencv cascade classifier function to where our
#classifier xml is stored

face_cascade=cv2.CascadeClassifier(r'C:\Users<name>\Downloads\opencv\sources\data\haarcascades\haarcascade_frontalface_default.xml')
eye_cascade=cv2.CascadeClassifier(r'C:\Users<name>\Downloads\opencv\sources\data\haarcascades\haarcascade_eye.xml')

#initiate video capture
cap = cv2.VideoCapture(0)

while 1:
    #read capture and frame
    ret, img = cap.read()
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    #pass frame to our face casdade
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
    #extract bounding boxes to our face identified
    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]
        #pass frame to our eye cascade
        eyes = eye_cascade.detectMultiScale(roi_gray)
        #extract bounding boxes to our eyes identified
        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: #27 is enter key
        break
cap.release()
cv2.destroyAllWindows()

DOWNLOAD  <--CODE FROM HERE 

0 comments: