Python视频中人脸识别openCV源代码

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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as npn",
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----------------------- Falsen"
     ]
    }
   ],
   "source": [
    "# 视频由一张张图片组成，每张图片叫做：帧n",
    "# 视频，一秒24帧n",
    "# 视频加载成功n",
    "face_detector = cv2.CascadeClassifier('./haarcascade_frontalface_alt.xml')n",
    "video = cv2.VideoCapture('./v.mp4')n",
    "# 写视频n",
    "fourcc = cv2.VideoWriter_fourcc('M','P','4','2')# 视频格式n",
    "fps = 24 # 视频帧 一秒24帧n",
    "size = (426,240) # 图片尺寸n",
    "write = cv2.VideoWriter('./v2.mp4',fourcc,fps,size)n",
    "while True:n",
    "    flag,frame = video.read()n",
    "    if flag == False:n",
    "        print('-----------------------',flag)n",
    "        breakn",
    "    frame = cv2.resize(frame,(426,240))#尺寸缩放，高度和宽度变成原来的三分之一n",
    "    gray = cv2.cvtColor(frame,code = cv2.COLOR_BGR2GRAY)n",
    "    face_zones = face_detector.detectMultiScale(gray)n",
    "    for x,y,w,h in face_zones:n",
    "#         cv2.rectangle(frame,pt1 = (x,y),pt2 = (x+w,y+h),color = [0,0,255],thickness = 2)n",
    "        cv2.circle(frame,center = (x+w//2,y+h//2),radius = w//2,color = [0,0,255],thickness = 2)n",
    "    cv2.imshow('ttnk',frame)n",
    "    write.write(frame)n",
    "    key = cv2.waitKey(41)n",
    "    if key == ord('q'):#退出条件n",
    "        breakn",
    "cv2.destroyAllWindows()n",
    "video.release()n",
    "write.release()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "import subprocess"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "call = 'ffmpeg -i v2.mp4 -i goon.wav out.mp4'n",
    "subprocess.call(call)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cmd = 'ffmpeg -i "lion my heart will go on.mp4" -vn music3.mp3'n",
    "subprocess.call(cmd)"
   ]
  }
 ],
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