Processing调用OpenCV库实现人脸识别和图片切换

Posted 2021-08-27 村头陈师傅

Processing调用OpenCV库实现人脸识别和图片切换

公众号：STCode

效果描述：

本作品调用OpenCV计算机视觉库，通过调取摄像头，利用Processing编程实现当检测到人脸离开后更换图片的效果，更换图片的形式为逐渐消失和逐渐显示。

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Processing调用OpenCV库实现人脸识别和图片切换-一个人从出生到年老的转身过程

源代码：

import gab.opencv.*;
import processing.video.*;
import java.awt.*;
int maxImages = 9;          //图片数量
int pic_width = 893;        //图片宽度
int pic_height = 516;       //图片高度
PImage[] images1 = new PImage[maxImages];  //图片数组
Capture video;
OpenCV opencv;
int flag1 = 0;
boolean max = true;
int check_flag = 0;
int pic_num = 0;
int i = 255;
int[] check_face = new int[5];
int cfn = 0;
void setup() 
{
  size(893,516);        //测试用尺寸
  //fullScreen();       //全屏显示
  background(255);      //背景白色
  for (int i = 0; i < images1.length; i ++ )       //循环images1.length次，将图片文件添加进数组
  {
    images1[i] = loadImage( "p" + i + ".png" );
  }

  video = new Capture(this, 1600/2, 800/2);
  opencv = new OpenCV(this, 1600/2, 800/2);
  opencv.loadCascade(OpenCV.CASCADE_FRONTALFACE);  
  video.start();
  frameRate(60);        //帧率
}

void draw() 
{
  println(i);
  background(255);
  tint(255,i);
  image(images1[pic_num],0,0);
  if(i == 255)
  {
    println("check");
    opencv.loadImage(video); 
    Rectangle[] faces = opencv.detect();
    println(faces.length);
    check_face[cfn] = faces.length;
    cfn++;
    if(cfn == 5)
    {
       cfn = 0; 
    }
      if(check_face[0] == 1 && check_face[1] == 1 && check_face[2] == 1 && check_face[3] == 1 && check_face[4] == 1 &&  flag1 == 0)
    {
       flag1 = 1;
       check_flag = 0; 
    }
    if(check_face[0] == 0 && check_face[1] == 0 && check_face[2] == 0 && check_face[3] == 0 && check_face[4] == 0 && flag1 == 1)
    {
       flag1 = 0;
       check_flag = 1;  
    }
  }
  
  
  if(check_flag == 1)
  {
    if(max == false)
    {
    if(i<=255)
    {   
      i=i+2;
    }
      
    else
    {
      i = 255;
      max = true;
      check_flag = 0;  
    }
  }
  else
  {
    if(i>0)
    {
      
      i=i-2;
      }
      
    else
    {
      i = 0;
      max = false;
      pic_num++;
      if(pic_num == 9)
      {
         pic_num = 0; 
      }
    }
  }
  }
  
}

void captureEvent(Capture c) 
{
      c.read();
}

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