Recherche avancée

Sur d’autres sites (6890)

• Files conflict(lib/arm64-v8a/libc++_shared.so) with Jitsi and FFmpegKit

  15 mai 2022, par Riccoh

  I have a persistent problem that I can't seem to solve, I am using Android SDK 32 and have installed 2 Libraries(com.arthenica:ffmpeg-kit-full and org.jitsi.react:jitsi-meet-sdk) which are in conflict with one another.

  


  When I add these 2 libraries and tried to run it on my device I get the following error message "2 files found with path 'lib/arm64-v8a/libc++_shared.so' from inputs...".

  


  To solve this problem I applied the following solution : https://github.com/tanersener/ffmpeg-kit/wiki/Tips#2-depending-another-android-library-containing-libc_sharedso.

  


  This seems to work as my project runs succesfully on my device.
But when I am trying to call a ffmpeg command :

  


  FFmpegKit.execute("-y -i ${audioFile?.absoluteFile.toString()} -af asetrate=54100*1/2,atempo=2/1 ${audioVoice?.absoluteFile.toString()}")


  


  I get the following error..

  


  java.lang.Error: FFmpegKit failed to start on brand: google, model: Pixel 3, device: blueline, api level: 32, abis: arm64-v8a armeabi-v7a armeabi, 32bit abis: armeabi-v7a armeabi, 64bit abis: arm64-v8a.


  


  I searched further but couldn't find a solution to my problem.

  


  Is it possible to get both libraries working without issues ?

  


• FFmpeg proccess killed while converting .mov file

  10 novembre 2020, par Vala Khosravi

  I'm using FFmpeg to reduce my videos file size when I give a .mov file as an input with this command :

  


  ffmpeg -i in.mov -c:a copy -crf 20 out.mov


  


  program start working and after a while, it gets killed. here are the last lines of the log that I get :

  


  Output #0, mov, to '/home/ubuntu/test.mov':
  Metadata:
    major_brand     : qt
    minor_version   : 0
    compatible_brands: qt
    com.apple.quicktime.creationdate: 2020-08-29T15:03:17+0430
    com.apple.quicktime.make: Apple
    com.apple.quicktime.model: MacBookPro14,1
    com.apple.quicktime.software: Mac OS X 10.15.1 (19B88)
    encoder         : Lavf57.83.100
    Stream #0:0(und): Video: h264 (libx264) (avc1 / 0x31637661), yuv420p, 2866x1716 [SAR 1:1 DAR 1433:858], q=-1--1, 60 fps, 15360 tbn, 60 tbc (default)
    Metadata:
      creation_time   : 2020-11-10T09:04:43.000000Z
      handler_name    : Core Media Data Handler
      encoder         : Lavc57.107.100 libx264
    Side data:
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
    Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 207 kb/s (default)
    Metadata:
      creation_time   : 2020-11-10T09:04:43.000000Z
      handler_name    : Core Media Data Handler
Killed   23 fps=3.6 q=0.0 size=       0kB time=00:00:01.34 bitrate=   0.0kbits/s dup=1 drop=0 speed=0.21x


  


  I tried so many different flags for FFmpeg but still getting the same error.

  


  What's the solution ?
here is my input video file

  


• Save FFMpeg conversion to PHP variable vs. File System for use with Whisper API ?

  13 avril 2023, par SScotti

  I just started working on a little demo to transalte audio captured from the front-end as audio/webm using JS and then sent the back-end in a Laravel App. I guess there are JS libraries that can handle the conversion, but I'd rather use a server side solution with FFMPEG, which I am doing.

  


  The backend code is below. It seems to be working after playing around with the PHP composer package that I'm using vs. one for Laravel that is also there. I'd rather use this one because I have other PHP apps that are not Laravel.

  


  Questions :

  


  


  1. With the FFMpeg library, is there a way to capture the converted .mp3 file to a PHP variable in the script rather than saving it to the file system and then reading it back in later ?

     


  


  2. For the OpenAI call, I'd like to catch exceptions there also. I just sort of have a placeholder there for now.

     


     protected function whisper(Request $request) {

    $yourApiKey = getenv('OPENAI_API_KEY');
    $client = OpenAI::client($yourApiKey);

    $file = $request->file('file');
    $mimeType = $request->file('file')->getMimeType();
    $audioContents = $file->getContent();

    try {

        FFMpeg::open($file)
        ->export()
        ->toDisk('public')
        ->inFormat(new \FFMpeg\Format\Audio\Mp3)
        ->save('song_converted.mp3');
    }
    catch (EncodingException $exception) {
        $command = $exception->getCommand();
        $errorLog = $exception->getErrorOutput();
    }

    $mp3 = Storage::disk('public')->path('song_converted.mp3');
    try {
    $response = $client->audio()->transcribe([
    'model' => 'whisper-1',
    'file' =>  fopen($mp3, 'r'),
    'response_format' => 'verbose_json',
    ]);
    }
    catch (EncodingException $exception) {
        $command = $exception->getCommand();
        $errorLog = $exception->getErrorOutput();
    }

 echo json_encode($response);

}