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• How to hide the output of yt-dl in CMD ? python

  10 février, par Qais Albeaiz

  I'm coding program that download mp3 audio from youtube videos but I have an issue that yt-dl show some output in console

  


  my code :

  


  with open('Links.txt') as f:
    content = f.readlines()
    for links in content:

        ydl_opts = {
            'format': 'bestaudio/best',
            'postprocessors': [{
                'key': 'FFmpegExtractAudio',
                'preferredcodec': 'mp3',
                'preferredquality': '192',
            }],
        }
        with youtube_dl.YoutubeDL(ydl_opts) as ydl:
            ydl.download([links])


  


  photo of output :


  


  and i need the option or some way to hide the output.

  


• how to play m3u8 videos from laravel storage

  10 mars 2019, par Farzane Khazaei

  I used ffmpeg to convert my MP4 videos to M3U8 format to have multiple qualities and stream my videos. because of security reason I have to put my videos in storage folder (not public) and now when I try to watch videos the browser just download M3U8 text file and video wont display. I install chrome extension to display M3U8 videos and i can see my M3U8 videos if I put the files in public folder and call the URL directly. this is my code

  $fileName = $product->details()['sample_file_name'];
  
  $filePath = $product->type.'s/'.$product->id.'/'.$fileName;       
  
  $fileContents = Storage::disk('products')->path($filePath);
  
  $header = ['Content-type' => Storage::disk('products')->mimeType($filePath)];
  
  $header = ['Content-Disposition' => 'attachment; filename='.basename($filePath)];
  
  $response = Response::download($fileContents, $fileName, $header);
  
  return $response;

  please help me what headers should i set for my download response.

• Stuck in deadend while compiling ffmpeg with nvidia CUDA support on Ubuntu 18.04 and GeForce GT 730

  24 février 2019, par Marko

  I want to compile ffmpeg with CUDA support, on Ubuntu 18.04, and my graphics card is GeForce GT 730 (so far I have not CUDA programming experience).
  Here nvidia claims that it has at least some transcoding support.

  I have cloned https://git.ffmpeg.org/ffmpeg.git and as I understand I also need to build and install nv-codec-headers.

  But there in the README, they say that minimum driver version for Linux is 418.30 or newer. So I went to nvidia site to download driver and after selecting my card I got this download link. So the driver version is high enough it seems. But when I try to install it I get message that this device will be ignored by that driver and that it is supported by legacy driver 390.xx (which is version I can install with apt).
  Is something wrong with nVidia, why are they offering me driver that is cannot be used for this device ?

  I’ve installed 390.xx driver using ubuntu-drivers autoinstall and built ffmpeg, but when I try to run it I get this error : Cannot load cuvidGetDecodeStatus [h264_cuvid @ 0x562a86dbc680] Failed loading nvcuvid.

  I suppose it is because of driver ?

  So, what can I do to unstuck myself ?