Recherche avancée

Sur d’autres sites (7396)

• How do I install ffmpeg on one EC2 Amazon Linux instance that can stream a mp4 ? [closed]

  12 septembre 2020, par starpebble

  Good day. How can I install ffmpeg on an EC2 amazon linux machine that can stream a mp4 ?

  


  The goal : an ffmpeg install on EC2 Amazon Linux that can stream one mp4 to one rtmps endpoint. Then, create an integration test suite with it.

  


  Is it just me or is ffmpeg a little crippled on EC2 Amazon Linux ?

  


  Example :

  


  ffmpeg -re -i input.mp4 -c:v libx264 -b:v 6000K -maxrate 6000K -pix_fmt yuv420p -s 1920x1080 -profile:v main -preset veryfast -g 120 -x264opts "nal-hrd=cbr:no-scenecut” -acodec aac -ab 160k -ar 44100 -f flv rtmps:///app/


  


  Linux OS :

  


  Linux version 4.14.193-113.317.amzn1.x86_64 (mockbuild@koji-pdx-corp-builder-60005) (gcc version 7.2.1 20170915 (Red Hat 7.2.1-2) (GCC)) #1 SMP Thu Sep 3 19:08:08 UTC 2020


  


  The stackoverflow answer to similar questions fail to install a ffmpeg that can stream.

  


  An installation script such as Install FFMPEG Library on EC2 Server fail this year.

  


  The static downloads referenced on John Van Sickle-FFmpeg Static Builds fail to stream to IVS. I tried the i686 release, my first guess for an x86_64 instance.

  


  The git source tree compiled binary fails to stream. Example : The tip of the tree isn't what I expected because the binary fails to recognize switches like -preset.

  


  I'd love to be able to explain streaming to anyone. Thanks.

  


• Read a Bytes image from Amazon Kinesis output in python

  14 février 2020, par Varun_Rathinam

  I used imageio.get_reader(BytesIO(a),  'ffmpeg') to load a bytes image and save it as normal image.

  But the below error throws when I read the image using imageio.get_reader(BytesIO(a),  'ffmpeg')

  Traceback (most recent call last):
  
    File "<stdin>", line 1, in <module>
  
    File "/home/tango/anaconda3/lib/python3.6/site-packages/imageio/core/functions.py", line 186, in get_reader
  
      return format.get_reader(request)
  
    File "/home/tango/anaconda3/lib/python3.6/site-packages/imageio/core/format.py", line 164, in get_reader
  
      return self.Reader(self, request)
  
    File "/home/tango/anaconda3/lib/python3.6/site-packages/imageio/core/format.py", line 214, in __init__
  
      self._open(**self.request.kwargs.copy())
  
    File "/home/tango/anaconda3/lib/python3.6/site-packages/imageio/plugins/ffmpeg.py", line 323, in _open
  
      self._initialize()
  
    File "/home/tango/anaconda3/lib/python3.6/site-packages/imageio/plugins/ffmpeg.py", line 466, in _initialize
  
      self._meta.update(self._read_gen.__next__())
  
    File "/home/tango/anaconda3/lib/python3.6/site-packages/imageio_ffmpeg/_io.py", line 150, in read_frames
  
      raise IOError(fmt.format(err2))
  
  OSError: Could not load meta information
  
  === stderr ===
  
  
  
  ffmpeg version 4.2 Copyright (c) 2000-2019 the FFmpeg developers
  
    built with gcc 7.3.0 (crosstool-NG 1.23.0.449-a04d0)
  
    configuration: --prefix=/home/tango/anaconda3 --cc=/home/conda/feedstock_root/build_artifacts/ffmpeg_1566210161358/_build_env/bin/x86_64-conda_cos6-linux-gnu-cc --disable-doc --disable-openssl --enable-avresample --enable-gnutls --enable-gpl --enable-hardcoded-tables --enable-libfreetype --enable-libopenh264 --enable-libx264 --enable-pic --enable-pthreads --enable-shared --enable-static --enable-version3 --enable-zlib --enable-libmp3lame
  
    libavutil      56. 31.100 / 56. 31.100
  
    libavcodec     58. 54.100 / 58. 54.100
  
    libavformat    58. 29.100 / 58. 29.100
  
    libavdevice    58.  8.100 / 58.  8.100
  
    libavfilter     7. 57.100 /  7. 57.100
  
    libavresample   4.  0.  0 /  4.  0.  0
  
    libswscale      5.  5.100 /  5.  5.100
  
    libswresample   3.  5.100 /  3.  5.100
  
    libpostproc    55.  5.100 / 55.  5.100
  
  [matroska,webm @ 0x5619b9da3cc0] File ended prematurely
  
  [matroska,webm @ 0x5619b9da3cc0] Could not find codec parameters for stream 0 (Video: h264, none, 1280x720): unspecified pixel format
  
  Consider increasing the value for the 'analyzeduration' and 'probesize' options
  
  Input #0, matroska,webm, from '/tmp/imageio_zm6hhpgr':
  
    Metadata:
  
      title           : Kinesis Video SDK
  
      encoder         : Kinesis Video SDK 1.0.0
  
      AWS_KINESISVIDEO_FRAGMENT_NUMBER: 91343852333183888465720004820715065721442989478
  
      AWS_KINESISVIDEO_SERVER_TIMESTAMP: 1580791384.096
  
      AWS_KINESISVIDEO_PRODUCER_TIMESTAMP: 1580791377.843
  
    Duration: N/A, bitrate: N/A
  
      Stream #0:0(eng): Video: h264, none, 1280x720, SAR 1:1 DAR 16:9, 1k tbr, 1k tbn, 2k tbc (default)
  
      Metadata:
  
        title           : kinesis_video
  
  Stream mapping:
  
    Stream #0:0 -> #0:0 (h264 (native) -> rawvideo (native))
  
  Press [q] to stop, [?] for help
  
  Cannot determine format of input stream 0:0 after EOF
  
  Error marking filters as finished
  
  Conversion failed!
  
  </module></stdin>

  The above approach to read a MKV bytes file was done based on this thread

  Or is there is any approach to parse and read the MKV bytes file.

• How to create movie screenshot by ffmpeg in an amazon S3 path

  5 décembre 2019, par user2004082

  I tried to create using ffmpeg a video screenshot from a remote video url in heroku console. Below is how I generated a movie instance and can see also an empty ready to be written file at S3. But the last line movie.screenshot is not working and generates this error :

  FFMPEG::Error: Failed encoding.Errors: no output file created

  Here is the code

  s3 = Aws::S3::Resource.new(region: 'us-west-1')
  
  bucket = s3.bucket("ruby-sample-kb-#{SecureRandom.uuid}")
  
  bucket.create
  
  object = bucket.object('ex-vid-test-kb.jpg')
  
  object.put(acl: "public-read-write")
  
  path = object.public_url
  
  movie = FFMPEG::Movie.new("https://www.googleapis.com/download/storage/v1/b/seppoav/o/3606137_51447286560__56BAF29C-05CB-4223-BAE6-655DF2236321.MOV?generation=1492780072394755&alt=media")
  
  movie.screenshot(path, :seek_time => 2)

  I also tried the following line just if it should be written via put. What am I missing here ?

  object.put(acl: "public-read", body: movie.screenshot(path, :seek_time => 2))