face and eye detection.py

# -*- coding: utf-8 -*-
"""
Created on Mon Mar 19 15:59:20 2018

@author: dpr
"""

"""
these cascade files are already available on internet and can be freely downloaded
"""

import numpy as np
import cv2

# multiple cascades: https://github.com/Itseez/opencv/tree/master/data/haarcascades

#https://github.com/Itseez/opencv/blob/master/data/haarcascades/haarcascade_frontalface_default.xml
face_cascade = cv2.CascadeClassifier('F:/temp/frontalface.xml')
#https://github.com/Itseez/opencv/blob/master/data/haarcascades/haarcascade_eye.xml
eye_cascade = cv2.CascadeClassifier('F:/temp/eye.xml')
watch_cascade = cv2.CascadeClassifier('F:/myhaar/data/cascade.xml')
cap = cv2.VideoCapture(0)
#img = cv2.imread('F:/temp/myimage3.jpg')
while 1:
    ret, img = cap.read()
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
    watch = watch_cascade.detectMultiScale(gray, 2)
    
    for (x,y,w,h) in watch:
        cv2.rectangle(img,(x,y),(x+w,y+h),(155,255,0),2)
    
    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.waitKey(0)
cv2.destroyAllWindows()
#C:\Users\dpr\opencv\apps\traincascade
#opencv_traincascade -data F:/myhaar/data -vec F:/myhaar/positives.vec -bg F:/bag.txt -numPos 1800 -numNeg 900 -numStages 10 -w 20 -h 20