Reputation: 161
I want to detect only the left eye in a video streaming, but I can't. When I run this code, it detects two eyes (right and left) and sometimes it also detects the mouth or the nose like it is an eye.
Follow the code below:
import cv2
import numpy as np
faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
#eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_lefteye_2splits.xml')
video_capture = cv2.VideoCapture(0)
while True:
ret, img = video_capture.read()
gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(
gray_img,
scaleFactor=1.98,
minNeighbors=8,
minSize=(80, 80),
flags=cv2.cv.CV_HAAR_SCALE_IMAGE
)
#print 'faces: ', faces
for (p,q,r,s) in faces:
#cv2.rectangle(img,(p,q),(p+r,q+s),(255,0,0),3)
face_gray = gray_img[q:q+s, p:p+r]
face_color = img[q:q+s, p:p+r]
eyes = eye_cascade.detectMultiScale(face_gray)
for (ep,eq,er,es) in eyes:
cv2.rectangle(face_color,(ep,eq),(ep+er,eq+es), (0,255,0),3)
rimg = cv2.flip(img, 1) # invert the object img
cv2.imshow("Video", rimg)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
video_capture.release()
cv2.destroyAllWindows()
So how should I do to detect only the left eye?
PS: I'm using Python 2.7.13, NumPy 1.10.0 and OpenCV 2.4.13.3 in this program.
Upvotes: 1
Views: 2337
Reputation: 11
You can use a simple for loop to iterate through the eyes returned by eye-cascade and find the index of the eye with minimum x-coordinate. That will give you the index of the left-most eye.
def getleftmosteye(eyes):
leftmost=9999999
leftmostindex=-1
for i in range(0,2):
if eyes[i][0]<leftmost:
leftmost=eyes[i][0]
leftmostindex=i
return eyes[leftmostindex]
Now you can get coordinates of the left eye once get its index.
Upvotes: 1