EyeDetectionandExtraction.py

#!/usr/bin/env python
# coding: utf-8

# In[ ]:


import numpy as np
import cv2

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


# In[ ]:


cap = cv2.VideoCapture(
'edi 1_Trim.mp4')
count=1


# In[ ]:


while True:
    cap.set(cv2.CAP_PROP_POS_MSEC,(count*100)) 
    ret, img = cap.read()
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.2, 5)
    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,1.3,minSize=(45, 45))
        for (ex,ey,ew,eh) in eyes:
            print(count)
            crop_img = roi_gray[ey: ey + eh, ex: ex + ew]
            cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
            s1='newSAVE2/{}.jpg'
            .format(count)
            count=count+1
            cv2.imwrite(s1,crop_img)

    cv2.imshow('img',img)
    k = cv2.waitKey(1000) & 0xff
    if k == 7:
        break
cap.release()
cv2.destroyAllWindows()