opencv_face_mosaic

#coding:utf-8                                                                                                         

# http://taizo.hatenablog.jp/entry/2016/06/28/072112
# http://qiita.com/lrf141/items/ff1462c5c6b7b3207775

import numpy as np
import cv2

cap = cv2.VideoCapture(0)
cap.set(3, 640)
cap.set(4, 480)

cascade_path = "/usr/local/Cellar/opencv3/HEAD-cd6e7ac_4/share/OpenCV/haarcascades/haarcascade_frontalface_alt.xml"
cascade = cv2.CascadeClassifier(cascade_path)
color = (0,0,255)

cnt = 0

while(True):
    cnt += 1
    ret, frame = cap.read()
    if ret == False:
        break
    if (cnt % 1) == 0:
        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
        facerect = cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=1, minSize=(1, 1))
        if len(facerect) > 0:

            for (x,y,w,h) in facerect:
                print "face x:" + str(x) + "face y:" + str(y)

                #顔の部分だけ切り抜いてモザイク処理をする                                                             
                cut_img = frame[y:y+h,x:x+w]
                cut_face = cut_img.shape[:2][::-1]
                #10分の1にする                                                                                        
                cut_img = cv2.resize(cut_img,(cut_face[0]/10, cut_face[0]/10))
                #画像を元のサイズに拡大                                                                               
                cut_img = cv2.resize(cut_img,cut_face,interpolation = cv2.INTER_NEAREST)
                #モザイク処理した部分を重ねる                                                                         
                frame[y:y+h,x:x+w] = cut_img

            for rect in facerect:
                cv2.rectangle(frame, tuple(rect[0:2]),tuple(rect[0:2]+rect[2:4]), color, thickness=4)


    cv2.imshow('fram', frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.dstroyAllWindows()