Face Detection
Summary
Face Detection with open cv example.
Using Viola-Jones Algorithm with Haar Cascades.
Calling XML classifier from opencv pre-trained Cascade files.
Detect face in any image.
import cv2
import numpy as np
import matplotlib.pyplot as plt
path = 'your path to the image'
stef = cv2.cvtColor(cv2.imread(path),cv2.COLOR_BGR2RGB)
plt.figure(1)
plt.imshow(stef)
classifier_path = 'your path to the classifier'
face_cascade = cv2.CascadeClassifier(classifier_path)
def detect_face(img):
face_img = img.copy()
face_rects = face_cascade.detectMultiScale(face_img,scaleFactor=1.2)
for (x,y,w,h) in face_rects:
cv2.rectangle(face_img,(x,y),(x+w,y+h),(255,0,0),10)
return face_img
plt.figure(2)
plt.imshow(detect_face(stef))
