此场景在实时视频处理中很常见。我需要时间戳与其他设备同步。
我尝试了cv::VideoCapture，但它无法从视频流中提取时间戳。
所以我在这里有两个问题：
增加：
使用这两个属性不起作用：
secCounter = (long) cap.get(CAP_PROP_POS_MSEC);
frameNumber = (long) cap.get(CAP_PROP_POS_FRAMES);
它总是给出以下结果：
VIDEOIO ERROR：V4L2：不支持获取属性＃1
msecCounter = 0
frameNumber = -1
答案 0 :(得分：1)
OpenCV的VideoCapture类是一个非常高级的界面，用于从相机中检索帧，因此它“隐藏”了连接相机，从相机检索帧和解码所需的大量细节。那些框架进入像BGR这样有用的颜色空间。这很好，因为您不必担心抓取帧的细节，但缺点是您无法直接访问您可能需要的其他数据，例如帧编号或帧时间戳。但这并不意味着无法获得您想要的数据！
这是一个示例帧抓取循环，可以根据example code from here松散地获得您想要的内容。这是用C ++编写的。
#include "opencv2/opencv.hpp"
using namespace cv;
int main(int, char**)
{
VideoCapture cap(0); // open the default camera
if(!cap.isOpened()) // check if we succeeded
return -1;
// TODO: change the width, height, and capture FPS to your desired
// settings.
cap.set(CAP_PROP_FRAME_WIDTH, 1920);
cap.set(CAP_PROP_FRAME_HEIGHT, 1080);
cap.set(CAP_PROP_FPS, 30);
Mat frame;
long msecCounter = 0;
long frameNumber = 0;
for(;;)
{
// Instead of cap >> frame; we'll do something different.
//
// VideoCapture::grab() tells OpenCV to grab a frame from
// the camera, but to not worry about all the color conversion
// and processing to convert that frame into BGR.
//
// This means there's less processing overhead, so the time
// stamp will be more accurate because we are fetching it
// immediately after.
//
// grab() should also wait for the next frame to be available
// based on the capture FPS that is set, so it's okay to loop
// continuously over it.
if(cap.grab())
{
msecCounter = (long) cap.get(CAP_PROP_POS_MSEC);
frameNumber = (long) cap.get(CAP_PROP_POS_FRAMES);
// VideoCapture::retrieve color converts the image and places
// it in the Mat that you provide.
if(cap.retrieve(&frame))
{
// Pass the frame and parameters to your processing
// method.
ProcessFrame(&frame, msecCounter, frameNumber);
}
}
// TODO: Handle your loop termination condition here
}
// the camera will be deinitialized automatically in VideoCapture destructor
return 0;
}
void ProcessFrame(Mat& frame, long msecCounter, long frameNumber)
{
// TODO: Make a copy of frame if you are going to process it
// asynchronously or put it in a buffer or queue and then return
// control from this function. This is because the reference Mat
// being passed in is "owned" by the processing loop, and on each
// iteration it will be destructed, so any references to it will be
// invalid. Hence, if you do any work async, you need to copy frame.
//
// If all your processing happens synchronously in this function,
// you don't need to make a copy first because the loop is waiting
// for this function to return.
// TODO: Your processing logic goes here.
}
如果你正在使用C＃和Emgu CV，它会看起来有点不同。我没有测试过这段代码，但它应该可以工作或者非常接近解决方案。
using System;
using Emgu.CV;
using Emgu.CV.CvEnum;
static class Program
{
[STAThread]
static void Main()
{
VideoCapture cap = new VideoCapture(0);
if(!cap.IsOpened)
{
return;
}
cap.SetCaptureProperty(CapProp.FrameWidth, 1920);
cap.SetCaptureProperty(CapProp.FrameHeight, 1080);
cap.SetCaptureProperty(CapProp.Fps, 30);
Mat frame = new Mat();
long msecCounter = 0;
long frameNumber = 0;
for(;;)
{
if(cap.Grab())
{
msecCounter = (long) cap.GetCaptureProperty(CapProp.PosMsec);
frameNumber = (long) cap.GetCaptureProperty(CapProp.PosFrames);
if(cap.Retrieve(frame))
{
ProcessFrame(frame, msecCounter, frameNumber);
}
}
// TODO: Determine when to quit the processing loop
}
}
private static void ProcessFrame(Mat frame, long msecCounter, long frameNumber)
{
// Again, copy frame here if you're going to queue the frame or
// do any async processing on it.
// TODO: Your processing code goes here.
}
}
Emgu的VideoCapture实现还允许为您完成异步Grab操作，并在抓取的帧准备好与Retrieve一起使用时发出通知。看起来像这样：
using System;
using Emgu.CV;
using Emgu.CV.CvEnum;
static class Program
{
private static Mat s_frame;
private static VideoCapture s_cap;
private static object s_retrieveLock = new object();
[STAThread]
static void Main()
{
s_cap = new VideoCapture(0);
if(!s_cap.IsOpened)
{
return;
}
s_frame = new Mat();
s_cap.SetCaptureProperty(CapProp.FrameWidth, 1920);
s_cap.SetCaptureProperty(CapProp.FrameHeight, 1080);
s_cap.SetCaptureProperty(CapProp.Fps, 30);
s_cap.ImageGrabbed += FrameIsReady;
s_cap.Start();
// TODO: Wait here until you're done with the capture process,
// the same way you'd determine when to exit the for loop in the
// above example.
s_cap.Stop();
s_cap.ImageGrabbed -= FrameIsReady;
}
private static void FrameIsReady(object sender, EventArgs e)
{
// This function is being called from VideoCapture's thread,
// so if you rework this code to run with a UI, be very careful
// about updating Controls here because that needs to be Invoke'd
// back to the UI thread.
// I used a lock here to be extra careful and protect against
// re-entrancy, but this may not be necessary if Emgu's
// VideoCapture thread blocks for completion of this event
// handler.
lock(s_retrieveLock)
{
msecCounter = (long) s_cap.GetCaptureProperty(CapProp.PosMsec);
frameNumber = (long) s_cap.GetCaptureProperty(CapProp.PosFrames);
if(s_cap.Retrieve(s_frame))
{
ProcessFrame(s_frame, msecCounter, frameNumber);
}
}
}
private static void ProcessFrame(Mat frame, long msecCounter, long frameNumber)
{
// Again, copy frame here if you're going to queue the frame or
// do any async processing on it.
// TODO: Your processing code goes here.
}
}