顔検出　Haar Cascade Classfier

V2.4.11 V3.0.0

# -*- coding: utf-8 -*-
import cv2
import numpy as np

#Ipythonで表示用の設定
import matplotlib.pyplot as plt
%matplotlib inline

#OpenCVで準備されている学習データ利用
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')

img  = cv2.imread('lena.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

faces = face_cascade.detectMultiScale(gray, 1.1, 10)

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)

#OpenCVがBGRなのでRGBに変換
disp_img  = cv2.cvtColor(img,  cv2.COLOR_BGR2RGB)

#画像表示
plt.imshow(disp_img)

<matplotlib.image.AxesImage at 0x57d0e10>

To Return CV&ML.