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• Python FFMPEG Heroku|Remove audio from video with Byte to Byte. No web processes running Error

  15 mai 2021, par samoel

  I'm trying to get a .mp4 file from an address and remove the sound from it.I also want the data sent to FFMPEG to be bytes and return the result in byte

  


  i tried different command for my code like using -movflags frag_keyframe+empty_moov.
When I run this code in Heroku and receive the log...

  


  def from_bytes_to_byte(input_bytes):
    command = f"ffmpeg -f mp4 -i /dev/stdin -vcodec copy -an -f mp4 -movflags frag_keyframe+empty_moov -"
    convert_cmd = subprocess.Popen(
        shlex.split(command),
        stdin=subprocess.PIPE,
        stdout=subprocess.PIPE,
        shell=False
    )
    b = b''
    convert_cmd.stdin.write(input_bytes)
    convert_cmd.stdin.close()
    while True:
        output = convert_cmd.stdout.read()
        if len(output) > 0:
            b += output
        else:
            error_msg = convert_cmd.poll()
            if error_msg is not None:
                break
    print("----------FINISHED------------")
    return b


result=requests.get("https://file-examples-com.github.io/uploads/2017/04/file_example_MP4_480_1_5MG.mp4") #.MP4 File
byterecieved=from_bytes_to_byte(result.content)


  


  heroku logs :

  


  ffmpeg version N-57204-gc7c138e411-static https://johnvansickle.com/ffmpeg/  Copyright (c) 2000-2021 the FFmpeg developers
built with gcc 8 (Debian 8.3.0-6)
configuration: --enable-gpl --enable-version3 --enable-static --disable-debug --disable-ffplay --disable-indev=sndio --disable-outdev=sndio --cc=gcc --enable-fontconfig --enable-frei0r --enable-gnutls --enable-gmp --enable-libgme --enable-gray --enable-libaom --enable-libfribidi --enable-libass --enable-libvmaf --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-librubberband --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libvorbis --enable-libopus --enable-libtheora --enable-libvidstab --enable-libvo-amrwbenc --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libdav1d --enable-libxvid --enable-libzvbi --enable-libzimg
libavutil      57.  0.100 / 57.  0.100
libavcodec     59.  0.100 / 59.  0.100
libavformat    59.  0.100 / 59.  0.100
libavdevice    59.  0.100 / 59.  0.100
libavfilter     8.  0.101 /  8.  0.101
libswscale      6.  0.100 /  6.  0.100
libswresample   4.  0.100 /  4.  0.100
libpostproc    56.  0.100 / 56.  0.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '/dev/stdin':
Metadata:
major_brand     : mp42
minor_version   : 0
compatible_brands: mp42mp41isomavc1
creation_time   : 2015-08-07T09:13:02.000000Z
Duration: 00:00:30.53, start: 0.000000, bitrate: N/A
Stream #0:0(und): Video: h264 (Constrained Baseline) (avc1 / 0x31637661), yuv420p, 480x270 [SAR 1:1 DAR 16:9], 301 kb/s, 30 fps, 30 tbr, 30 tbn (default)
Metadata:
creation_time   : 2015-08-07T09:13:02.000000Z
handler_name    : L-SMASH Video Handler
vendor_id       : [0][0][0][0]
encoder         : AVC Coding
Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 112 kb/s (default)
Metadata:
creation_time   : 2015-08-07T09:13:02.000000Z
handler_name    : L-SMASH Audio Handler
vendor_id       : [0][0][0][0]
Output #0, mp4, to 'pipe:':
Metadata:
major_brand     : mp42
minor_version   : 0
compatible_brands: mp42mp41isomavc1
encoder         : Lavf59.0.100
Stream #0:0(und): Video: h264 (Constrained Baseline) (avc1 / 0x31637661), yuv420p, 480x270 [SAR 1:1 DAR 16:9], q=2-31, 301 kb/s, 30 fps, 30 tbr, 15360 tbn (default)
Metadata:
creation_time   : 2015-08-07T09:13:02.000000Z
handler_name    : L-SMASH Video Handler
vendor_id       : [0][0][0][0]
encoder         : AVC Coding
Stream mapping:
**2021-05-14T21:32:09.639203+00:00** app[worker.1]: Stream #0:0 -> #0:0 (copy)
**2021-05-14T22:12:36.527864+00:00** heroku[router]: at=error code=H14 desc="No web processes running" method=GET path="/" host=desolate-inlet-50581.herokuapp.com request_id=cc985185-6ba7-4530-95f8-f4512f465039 fwd="5.122.192.170" dyno= connect= service= status=503 bytes= protocol=https
2021-05-14T22:12:37.303089+00:00 heroku[router]: at=error code=H14 desc="No web processes running" method=GET path="/favicon.ico" host=desolate-inlet-50581.herokuapp.com request_id=f26b18a5-30ac-41e2-9b63-8f945b746b12 fwd="5.122.192.170" dyno= connect= service= status=503 bytes= protocol=https
2021-05-14T22:13:39.737155+00:00 heroku[router]: at=error code=H14 desc="No web processes running" method=GET path="/" host=desolate-inlet-50581.herokuapp.com request_id=12a28261-d746-4067-ab4b-05d3e2e8c379 fwd="5.122.192.170" dyno= connect= service= status=503 bytes= protocol=https
2021-05-14T22:13:40.372446+00:00 heroku[router]: at=error code=H14 desc="No web processes running" method=GET path="/favicon.ico" host=desolate-inlet-50581.herokuapp.com request_id=c2e2ebc8-9fb2-4d30-8876-2fede3dfd141 fwd="5.122.192.170" dyno= connect= service= status=503 bytes= protocol=https


  


• creating a modern nodejs video rendering app (ffmpeg microservice / cloud hosting)

  5 avril 2020, par Martin

  I'm thinking of making a nodejs website like tunestotube.com or audioship.io that will :

  



  


  • accept an audio file / image file input

  


  • render a video using ffmpeg

  


  • upload that video to youtube

  


  



  I just have a question on the best way to go about doing this, I want to host over GCP eventually, and am thinking about the best / most efficient way to handle the ffmpeg video rendering, since I want it to be scaleable and have a load balancer (ingress ?) queue to handle getting multiple requests at once.

  



  Would it make sense to containerize my web service ? Have the main website be one docker image ; and have another image / microservice 'video-renderer' that would accept the inputs, render the video, and return the rendered video ?

  



  Does this idea make sense, and would going about it in the way I describe above work ? I'm also trying to find tutorials / example projects with handling microservices / load balancers in node js / gcp if anyone has any ideas / recomendations, thanks

  


• Google Speech to Text on WAV file gives

  7 janvier 2021, par Darth.Vader

  I am using the Google Speech to Text API to convert a WAV file to text. When I play the WAV file, it works fine but when I run the Google Speech To Text API I get this error :

  


  WAV header indicates an unsupported format.


  


  When I try to analyze the file using ffmpeg tool, it get the following error :

  


  Output #0, wav, to '/home/shubham/workspace/intent-service/scripts/audio2.tmp.wav':
Metadata:
  ISFT            : Lavf57.83.100
  Stream #0:0: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 8000 Hz, mono, s16, 128 kb/s
  Metadata:
    encoder         : Lavc57.107.100 pcm_s16le
[gsm_ms @ 0x55d4c255cd20] Packet is too small
Error while decoding stream #0:0: Invalid data found when processing input size=7924kB time=00:08:27.16 bitrate= 128.0kbits/s speed=3.72e+03x    
video:0kB audio:7924kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.000961%


  


  What am I missing ?