-1

I want to detect the face in the video frame and remove the other elements such as background etc. and just want to focus on the facial region, for this i need to use viola jones algorithm, czn anyone give me a hint or suitable answer for this.

import cv2
import sys
imagep='6.jpg'#sys.argv[1]
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
i=cv2.imread(imagep)
gray=cv2.imread(imagep,cv2.COLOR_BGR2GRAY)
f=face_cascade.detectMultiScale(gray,scaleFactor=1.1,minNeighbors=5,minSize=(30,30),flags=cv2.CASCADE_SCALE_IMAGE)
print("Found {0} faces!".format(len(f)))
for(x,y,w,h) in f:
  cv2.rectangle(i,(x,y),(x+w,y+h),(0,255,0),2)
  cv2.imshow("Faces found",i)
  cv2.waitKey(0)
Yoga Srinivas Reddy
  • 19
  • 2

1 Answers1

-1

Once you have the upper left and and bottom right coordinates of the rectangle in which the face is contained, You can just crop the original image on the basis of those coordinates. Let's suppose initial image is stored in the frame variable, follow the code

face = face_recognition.detectMultiScale(frame, scaleFactor = 1.8, minNeighbors = 5) #detects coordinates of face
resultant_image = frame[face[0][1] : (face[0][1] + face[0][3]),face[0][0] : (face[0][0] + face[0][2]), :] # gives you cropped image
Sachin
  • 1
  • 1