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• Android ffmpeg Command not executing

  22 juin 2020, par MoTahir

  I am using this FFMPEG library,

  


  first I am playing the video inside my videoView to make sure that the video path is correct

  


  videoView.setVideoURI(Uri.parse(getExternalFilesDir(null)?.absolutePath + "videoToBeEdit"))


  


  then I am calling the code written below to crop the video then put it inside the videoView again just to see the result

  


  val ff = FFmpeg.getInstance(this@EditVideoActivity)
if (ff.isSupported){

  val inFile = File(getExternalFilesDir(null)?.absolutePath ,"videoToBeEdit")
  val outFile = File(getExternalFilesDir(null)?.absolutePath , "result")

  val command = arrayOf("ffmpeg","-i", inFile.absolutePath , "-filter:v", "crop=100:100:0:0", outFile.absolutePath)

  ff.execute(command, object : ExecuteBinaryResponseHandler() {
    override fun onSuccess(message: String?) {
      super.onSuccess(message)
      videoView.setVideoURI(Uri.parse(getExternalFilesDir(null)?.absolutePath + "videoToBeEdit"))
    }

    override fun onProgress(message: String?) {
      super.onProgress(message)
    }

    override fun onFailure(message: String?) {
      super.onFailure(message)
      Log.e("error", "failed")
    }

    override fun onStart() {
      super.onStart()
      Log.e("start", "started the process")
    }

    override fun onFinish() {
      super.onFinish()
      Log.e("finish", "done")
    }
  })
}


  


  but my code above goes from start to error then finish, it doesn't show any error messages and that's making it really hard to know what's actually wrong :( I tried to write my command in different ways following those tutorials tutorial1 tutorial2 link
please help, thank you in advance...

  


• Failed to hard-ware accelerate video decoding via Tesla P40

  20 mai 2018, par Potemkin

  While I am writing a surveillance video recognition demo, I find it is much slower to simply play a video in the server(Xeon E5-2680 2.4GHz, Tesla P40) than in my laptop(i7-8550 1.8GHz, Intel UHD Graphics 620).

  I use DXVA-Checker to see the video decoder device, and notice that my laptop use the GPU for decoding, but the server use no GPU for the job. Then I check ’nvidia-smi’, and it shows all of GPUs are running in TCC driver model, not WDDM driver model. And I cannot turn it to WDDM because nvidia-smi says it is not supported.

  The video play demo is written via OPENCV, in which the video decoding part is from ffmpeg. The server runs in Windows-server-2012, and my laptop is on Windows 10.

  The question is how can I get the server decoding videos with GPUs, and is this the reason for the slowness or there is something else ?

• hwcontext_vulkan : initialize semaphores of DMABUF imports

  12 mars 2020, par Lynne

  hwcontext_vulkan : initialize semaphores of DMABUF imports
  There was a recent change in Intel's driver that triggered a driver-internal
  
  error if the semaphore given to the command buffer wasn't initialized.
  
  Given that the specifications require the semaphore to be initialized,
  
  this is within spec. Unlike what's causing it in the first place, which is
  
  that there are no ways to extract/import dma sync objects from DMABUFs,
  
  so we must leave our semaphores bare.
  

  • [DH] libavutil/hwcontext_vulkan.c