OpenCV实现图像动画效果

#include "opencv2/highgui/highgui.hpp"
#include <opencv2/imgproc/imgproc.hpp>
#include <cstring>

#include <iostream>
using namespace std;
using namespace cv;


Mat Img_Rotate(Mat& img,float& scale,Point& center,float& angle,int& frame,
        int& time,bool process)
{
    Point _center;  
    _center.x = float(center.x);  
    _center.y = float(center.y);  
    Mat _img,__img;

    if(process)
    {
     //仿射变换 
     angle=-angle; 
      float frame_angle=angle/float(frame);
     //cout<<"frame_angle "<<frame_angle<<endl;
   
     //图像缩放
     float frame_scale=float(1.0-scale)/float(frame);
     //cout<<"frame_scale "<<frame_scale<<endl;
  
     for(int i=1;i<frame;i++)
    {   
        angle=i*frame_angle;
        Mat M = getRotationMatrix2D(_center, angle, 1); 
        warpAffine(img, _img, M, cvSize(img.cols, img.rows), CV_INTER_LINEAR); 

        scale=1.0-frame_scale*i;
        int  new_h = int(_img.rows * scale);
        int  new_w = int(_img.cols* scale) ;
        resize(_img, __img,Size(new_w,new_h),cv::INTER_LINEAR);
       //输出图像
       imshow("_img", __img);  
       waitKey(100);  
     
       }
    }

    else
    {
        Mat M = getRotationMatrix2D(_center, angle, 1); 
        warpAffine(img, _img, M, cvSize(img.cols, img.rows), CV_INTER_LINEAR);
        
        int  new_h = int(_img.rows * scale);
        int  new_w = int(_img.cols* scale) ;
        resize(_img, __img,Size(new_w,new_h),cv::INTER_LINEAR);
        //输出图像
       imshow("_img", __img);  
       waitKey(1000); 
    }
 

    return __img;  
}

// 获取指定像素点放射变换后的新的坐标位置  
Point Get_NewPos(const Point &src, const Point& center,
         float& scale, float& angle)  
{   
    //缩放旋转公式
    int x_origin = src.x - center.x;  
    int y_origin = src.y - center.y;  
    
    float x_transformed=scale*cos(angle)*x_origin - scale*sin(angle)*y_origin;
    float y_transformed=scale*sin(angle)*x_origin + scale*cos(angle)*y_origin;

    float x_new=x_transformed + center.x;
    float y_new=y_transformed + center.y;
     
    //返回
    Point dst;
    dst.x = cvRound(x_new);  
    dst.y = cvRound(y_new); 

    return dst;  
} 

void Process_Img(Mat& img,float& scale,float& theta,bool process,
            int& frame,int& time)
{   
  

    //旋转
    Point center( (float)(img.cols/2) , (float) (img.rows/2));
    float radian = (float) (theta/180.0 * CV_PI);
    
   // Mat _img = Img_Rotate(img, center, theta); 

    Mat _img = Img_Rotate(img,scale, center, theta,frame,time,process); 

    //计算原特征点在旋转后图像中的对应的坐标
    Point Left;  
    Left.x = 150;  
    Left.y = 200;  
    Point Right;  
    Right.x = 300;  
    Right.y = 200;  

    Point l= Get_NewPos(Left, center,scale, radian);  
    Point r = Get_NewPos(Right, center,scale, radian); 

    _img.at<unsigned char>(l.y, l.x) = 0;  
    _img.at<unsigned char>(r.y, r.x) = 0;  
  
}

int main(int argc,char** argv){

    
    //终端输入SRAFT参数
    if(argc!=7)
     {
         cout<<"需要输入6个值"<<endl;
         return -1;
     }

    cv::CommandLineParser parser(argc, argv,
            "{@img||}{@S||}{@R||}{@A||}{@F||}{@T||}");
   // Mat  img = parser.get<Mat>("@img");//错误
    Mat img=imread(argv[1],-1);
    float scale= parser.get<float>("@S") ;
    float theta= parser.get<float>("@R") ;
     bool  process= parser.get<bool>("@A") ;
     int   frame= parser.get<int>("@F") ;
     int   time= parser.get<int>("@T") ;
   cout<<"Scale "<<scale<<" Theta "<<theta<<" Process "<<process
            <<" Frame "<<frame<<" Time "<<time<<endl;
    
   
     //输入图像
    imshow("img",img);
    waitKey(1000);

    //防止丢失图片，填充图像
    int maxBorder =(int) (max(img.cols, img.rows)* 1.414 ); //即为sqrt(2)*max
    int dx = (maxBorder - img.cols)/2;
    int dy = (maxBorder - img.rows)/2;
    copyMakeBorder(img, img, dy, dy, dx, dx, BORDER_CONSTANT);
    

    Process_Img( img,scale, theta, process,frame,time);

 
    return 0;
}