Save the eye image after the detection [closed]
Hello, So I was playing around with the face and eye detector with OpenCV
import numpy as np
import cv2
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
img = cv2.imread('image_020_1.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 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)
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)
cv2.waitKey(0)
cv2.destroyAllWindows()
And I wanted to try to get it a little further, like saying If the eye is open or closed, for that I already trained a classifier, but I need to save the roi (in this case the eyes separetly) into a image file, I tried everything but I couldnt get anywhere, does any1 know how to do it?
"I already trained a classifier" -- just curious, what did you do there ? on what data ?
@berak Used the nvidia DIGITS plattaform to create a caffe model using the CEW dataset (closed eyes in the wild)
do you need to discriminate between left and right eye ?
@berak yea I do. After a quick search here on the forum I found that some1 already had this question before http://answers.opencv.org/question/10... Should had done the search before creating the post, im sorry :)
@berak Is there anyway to tune up the eye haarcacade classifier? The photos I need to work with have a low resolution, and that leads to some errors. Example: link text Which then saves me a image of that part of the lip, and I wanted to try to reduce those liittle errors
maybe also have a look at this related question , because:
again, using some landmarks lib (like dlib) might give much better results.
but again, to kill false positives, increase the "min_neighbours" param in
eye_cascade.detectMultiScale(you used 5 for the face detection there, so try that for the eyes, too)
@berak thats exacly the problem Im facing, the eye cascades are really not that accurate. My first try was exacly that one, the dlib landmarker, but I couldnt crop the eyes from that scrip
Awesome, changing to min_neighbours to 2 (5 made it only detect one eye) fixed the problem, at least for that image, I will try to test it on more later. I really would like to extract the eyes from the dlib landmarker, but I think its too much for me, im still a newbie on programming
I am using this code. But returned this error: roi_color = img[y:y+h, x:x+w] TypeError: 'NoneType' object has no attribute '__getitem__'
@Denis, please do not post answer, if you have a question or comment, to start with.
then, your image might not be named "img", as in the example above.