{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import cv2"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"face_detector = cv2.CascadeClassifier('./haarcascade_frontalface_alt.xml')\n",
"video = cv2.VideoCapture(0)#打开电脑上的摄像头\n",
"mask = cv2.imread('./mask.png')#读取文件,速度慢\n",
"while True:\n",
" flag,frame = video.read()\n",
" if flag == False:\n",
" break\n",
" gray = cv2.cvtColor(frame,code = cv2.COLOR_BGR2GRAY)\n",
" face_zones = face_detector.detectMultiScale(gray)\n",
" mask2 = mask.copy()#快\n",
" for x,y,w,h in face_zones:\n",
" mask2 = cv2.resize(mask2,(w,h))\n",
"# frame[y:y+h,x:x+w] = mask2\n",
" for i in range(h):#高度 y\n",
" for j in range(w):#宽度 x\n",
" b,g,r = mask2[i,j]\n",
" if (b>180)&(g>180)&(r>180):\n",
" frame[y+i-10,x+j] = mask2[i,j]\n",
" cv2.imshow('ttnk',frame)\n",
" key = cv2.waitKey(41)\n",
" if key == ord('q'):#退出条件\n",
" break\n",
"cv2.destroyAllWindows()\n",
"video.release()"
]
}
],
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