MATLAB Answers


How to process video in parallel?

Ilya Tcenov さんによって質問されました 2019 年 8 月 3 日
最新アクティビティ Ilya Tcenov さんによって コメントされました 2019 年 8 月 10 日
I need to read a video file (N frames long), process each adjucent pair of frames (to calculate a single output frame), and write the result as a video file (N-1 frames long). Processing time is important to me, so I am trying to do this in parallel.
I can't use a gpuArray() to pass a variable that was created using VideoReader() to the gpu (I get an error). It seems pointless to pass a pair of frames to the gpu and gather the result, as the transition of data back and forth takes longer than the calculation itself. Is there another way of using the gpu in my case?
I can use multiple workers (CPU), but the problem is that I cant write the result of a processed pair as a frame (using writeVideo() ), before the previous frame was writen. I need to make the worker wait if the previous frame wasn't writen yet. What will be the correct way of doing so?
Thank you.

  2 件のコメント

Divya Gaddipati 2019 年 8 月 6 日
Does your current output frame depend on the previous output frame?
Ilya Tcenov 2019 年 8 月 10 日
It doesn't.
Output(n) = function(Input(n),Input(n+1))

サインイン to comment.

1 件の回答

回答者: Divya Gaddipati 2019 年 8 月 8 日

One possible approach is by using spmd. You could define spmd in such a way that each worker will operate on a chunk of the input video, and then within spmd it is possible to force each worker to write the resultant data in the specified order. Something like this:
    myFrameIdxs = find(discretize(1:totalNumFrames, numlabs) == labindex);
% numlabs - Total number of workers operating in parallel on current job
    % read chunk of data
    myFrameData = readVideoData(videoFname, myFrameIdxs);
    % process chunk of data
    myOutput = processVideoFrames(myFrameData);
    % output chunks of data in sequence, one at a time.
    for writeIdx = 1:numlabs
        if labindex == writeIdx
            writeVideoData(outVideoFname, myOutput);
For more information on how to use these functions, refer to the following links:

  1 件のコメント

Ilya Tcenov 2019 年 8 月 10 日
Thank you!

サインイン to comment.

Translated by