JavaCV中的稠密光流(双TVL1) 我已经实现了密集光流来计算C++中每个像素的速度。这个例子对我帮助很大()。现在我想将代码转换为java,但我找不到createOptFlow_DualTVL1()的等效JavaCV函数。有人能帮我吗?如果能以身作则,那就太好了
如果这是正确的,我如何从光流(IplImage)中得到光学值 谢谢JavaCV中的稠密光流(双TVL1) 我已经实现了密集光流来计算C++中每个像素的速度。这个例子对我帮助很大()。现在我想将代码转换为java,但我找不到createOptFlow_DualTVL1()的等效JavaCV函数。有人能帮我吗?如果能以身作则,那就太好了,c++,opencv,javacv,opticalflow,C++,Opencv,Javacv,Opticalflow,如果这是正确的,我如何从光流(IplImage)中得到光学值 谢谢public void TestOF() { IplImage pFrame=cvLoadImage(“/sdcard//DCIM/Camera/Frame-1.jpg”); IplImage cFrame=cvLoadImage(“/sdcard//DCIM/Camera/Frame-2.jpg”); IplImage pGray=cvCreateImage(cvGetSize(pFrame),IPL_深度_8U,1); Ipl
public void TestOF()
{
IplImage pFrame=cvLoadImage(“/sdcard//DCIM/Camera/Frame-1.jpg”);
IplImage cFrame=cvLoadImage(“/sdcard//DCIM/Camera/Frame-2.jpg”);
IplImage pGray=cvCreateImage(cvGetSize(pFrame),IPL_深度_8U,1);
IplImage cGray=cvCreateImage(cvGetSize(cFrame),IPL_DEPTH_8U,1);
cvConvertImage(pFrame、pGray、IPL_DEPTH_32F);
cvConvertImage(cFrame、cGray、IPL_DEPTH_32F);
IplImage Optical_Flow=cvCreateImage(cvGetSize(pGray),IPL_DEPTH_32F,2);
DenseOpticalFlow tvl1=createOptFlow_DualTVL1();
tvl1.计算(pGray、cGray、光流);
FloatBuffer=Optical_Flow.getFloatBuffer();
CvMat OF=cvCreateMat(pGray.height(),pGray.width(),CV_32FC1);
int像素速度=0;
int x速度=0;
int-yVelocity=0;
int bufferIndex=0;
对于(int y=0;y
该代码将使用两幅图像(第1帧和第2帧)之间的DenseOpticalFlow计算每个像素的光流,并将每个像素的速度放到另一幅图像(of)的坐标中。
干杯
IplImage pFrameGray = cvCreateImage(cvGetSize(pFront),IPL_DEPTH_8U,1);
IplImage cFrameGray = cvCreateImage(cvGetSize(pFront),IPL_DEPTH_8U,1);
cvConvertImage(pFront, pFrameGray, CV_CVTIMG_FLIP);
cvConvertImage(cFront, cFrameGray, CV_CVTIMG_FLIP);
IplImage Optical_Flow = cvCreateImage( cvSize(pFrameGray.width(),pFrameGray.height()), IPL_DEPTH_32F, 2 );
DenseOpticalFlow tvl1 = createOptFlow_DualTVL1();
tvl1.calc(pFrameGray, cFrameGray, Optical_Flow);
public void TestOF()
{
IplImage pFrame = cvLoadImage("/sdcard//DCIM/Camera/Frame-1.jpg");
IplImage cFrame = cvLoadImage("/sdcard//DCIM/Camera/Frame-2.jpg");
IplImage pGray = cvCreateImage(cvGetSize(pFrame),IPL_DEPTH_8U,1);
IplImage cGray = cvCreateImage(cvGetSize(cFrame),IPL_DEPTH_8U,1);
cvConvertImage(pFrame, pGray, IPL_DEPTH_32F);
cvConvertImage(cFrame, cGray, IPL_DEPTH_32F);
IplImage Optical_Flow = cvCreateImage( cvGetSize(pGray), IPL_DEPTH_32F, 2 );
DenseOpticalFlow tvl1 = createOptFlow_DualTVL1();
tvl1.calc(pGray, cGray, Optical_Flow);
FloatBuffer buffer = Optical_Flow.getFloatBuffer();
CvMat OF = cvCreateMat( pGray.height(),pGray.width(), CV_32FC1);
int pixelVelocity =0;
int xVelocity = 0;
int yVelocity = 0;
int bufferIndex = 0;
for(int y =0; y< pGray.height(); y++)
{
for(int x = 0; x < pGray.width() ;x++)
{
xVelocity = (int)buffer.get(bufferIndex);
yVelocity = (int)buffer.get(bufferIndex+1);
pixelVelocity = (int)Math.sqrt((double)(xVelocity*xVelocity + yVelocity*yVelocity));
OF.put(y, x, pixelVelocity);
}
}
IplImage temp = OF.asIplImage();
cvSaveImage("/sdcard//DCIM/Camera/OF.jpg",temp);
}