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Sur d’autres sites (13181)

  • Read H264 streaming from Elp H264 with OpenCV + Pyhton

    15 janvier 2017, par Francesco Paissan

    I’m trying to read an udp streaming of a H264 encoded image. The software structure is like follows :

    On a BeagleBoneBlack (Ubuntu 16.04) I’ve an Elp H264 cam (see here : https://www.amazon.com/ELP-Support-Android-Windows-Surveillance/dp/B00VDSBH9G ). I stream frames with ffmpeg on a Unicast UDP Stream.

    I want to read this images from python and opencv to be able to process them.

    I tried with this simple code to see if the cap is opened or not :

    import cv2
    try:
        cap = cv2.VideoCapture("udp://localhost:1234/")
       cap.set(CV_CAP_PROP_FOURCC, CV_FOURCC('H', '2', '6', '4'));
    except Exception, e:
       print str(e)

    But when I run this script python says :

    DtsGetHWFeatures : Create File Failed DtsGetHWFeatures : Create File
    Failed Running DIL (3.22.0) Version DtsDeviceOpen : Opening HW in mode
    0 DtsDeviceOpen : Create File Failed libva info : VA-API version 0.38.1
    libva info : va_getDriverName() returns -1 libva error :
    va_getDriverName() failed with unknown libva error,driver_name=(null)
    libva info : VA-API version 0.38.1 libva info : va_getDriverName()
    returns -1 libva error : va_getDriverName() failed with unknown libva
    error,driver_name=(null) libva info : VA-API version 0.38.1 libva info :
    va_getDriverName() returns -1 libva error : va_getDriverName() failed
    with unknown libva error,driver_name=(null) libva info : VA-API version
    0.38.1 libva info : va_getDriverName() returns -1 libva error : va_getDriverName() failed with unknown libva error,driver_name=(null)
    GStreamer Plugin : Embedded video playback halted ; module vaapidecode
    reported : Could not initialize supporting library. OpenCV
    Error : Unspecified error (GStreamer : unable to start pipeline ) in
    cvCaptureFromCAM_GStreamer, file /builddir/build/BUILD/opencv-
    2.4.12.3/modules/highgui/src/cap_gstreamer.cpp, line 816 /builddir/build/BUILD/opencv-2.4.12.3/modules/highgui/src/cap_gstreamer.cpp:816 :
    error : (-2) GStreamer : unable to start pipeline in function
    cvCaptureFromCAM_GStreamer

    Can anybody help me ?

    Thanks,

    Francesco.

  • PipedInputStream / PipedOutputStream, ImageIO and ffmpeg

    19 avril 2015, par jdevelop

    I have the following code in Scala :

         val pos = new PipedOutputStream()
         val pis = new PipedInputStream(pos)

         Future {
           LOG.trace("Start rendering")
           generateFrames(videoRenderParams.length) {
             img ⇒ ImageIO.write(img, "PNG", pos)
           }
           pos.flush()
           IOUtils.closeQuietly(pos)
           LOG.trace("Finished rendering")
         } onComplete {
           case Success(_) ⇒
             LOG.trace("Complete successfully")
           case Failure(err) ⇒
             LOG.error("Can't render stuff", err)
             IOUtils.closeQuietly(pis)
             IOUtils.closeQuietly(pos)
         }

         val prc = (ffmpegCli #< pis).!(logger)

    the Future simply writes the generated images one by one to the OutputStream. Now the ffmpeg process reads the input images from stdin and converts them to MP4 file.

    That works pretty well, but for some reason sometimes I’m getting the following stacktraces :

    I/O error Pipe closed for process: <input stream="stream" />
    java.io.IOException: Pipe closed
       at java.io.PipedInputStream.checkStateForReceive(PipedInputStream.java:260)
       at java.io.PipedInputStream.receive(PipedInputStream.java:226)
       at java.io.PipedOutputStream.write(PipedOutputStream.java:149)
       at scala.sys.process.BasicIO$.loop$1(BasicIO.scala:236)
       at scala.sys.process.BasicIO$.transferFullyImpl(BasicIO.scala:242)
       at scala.sys.process.BasicIO$.transferFully(BasicIO.scala:223)
       at scala.sys.process.ProcessImpl$PipeThread.runloop(ProcessImpl.scala:159)
       at scala.sys.process.ProcessImpl$PipeSource.run(ProcessImpl.scala:179)

    At the same time I’m getting the following error from another stream :

    javax.imageio.IIOException: I/O error writing PNG file!
       at com.sun.imageio.plugins.png.PNGImageWriter.write(PNGImageWriter.java:1168)
       at javax.imageio.ImageWriter.write(ImageWriter.java:615)
       at javax.imageio.ImageIO.doWrite(ImageIO.java:1612)
       at javax.imageio.ImageIO.write(ImageIO.java:1578)
       at

    So it seems that the streams were broken somewhere in between, so ffmpeg can not read the data, and ImageIO can not write the data.

    What is even more interesting - the problem is reproducible only on certain Linux server (Amazon). It works flawlessly on other Linux boxes. So I wonder if somebody could point me out to the possible causes of this error.

    What I’ve tried so far :

    • use Oracle JDK 8 and OpenJDK
    • use different versions of FFMPEG

    Nothing worked by the moment.

  • AWS : Best way to generate a thumbnail for every frame of a s3 uploaded video

    4 janvier 2018, par danielfranca

    I need to process a video file, transcode it and generate a thumbnail for every frame.

    It should happen every time there’s a new video on a specific AWS bucket.

    I found out that AWS Lambda should be the best service for that

    However, it is not working as expected and I’ll explain why

    I’ve created a simple Python2.7 file using FFVideo
    It seems that this library doesn’t support Python3.

    It is a nice abstraction on top of ffmpeg

    To deploy the package I had run lld on the FFVideo shared object, and then copied everything to my project directory, as described in their documentation.
    Zipped it and upload to AWS Lambda

    Yet it doesn’t work, I keep getting errors as if the /usr/lib64/libstdc++ is missing, even after copied it to the projecct dir, also tried /usr/lib64 and /lib64

    Then as a second thought I wonder if just running ffmpeg wouldn’t be easier...
    So I just copied ffmpeg to the project dir and did a simple Python script to call it.

    Missing shared objects, ok, lld again and copied everything to the directory.

    Then AWS Lambda seems to be completely broken, I can’t save it anymore and it just says "Fix errors before saving"
    But no error message, nothing

    I even have attempted to write inline a simple code, but now AWS Lambda don’t even open the online editor.
    I also tried to remove all the shared objects I have added, returning to the original state, but still same generic error.
    Same thing if I just create a new lambda function with same old code.

    Doesn’t matter what I do it never even enable the Save button anymore.
    I thought it might be just some AWS unstability, but it been a while.

    I’ve looked to a similar project using Node
    and it doesn’t seem to include anything except ffmpeg

    My other idea is to use SQS to trigger a python script somewhere else to create the thumbnails

    Any idea how is the best approach for that ?