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• Empty audio backends for torchaudio list audio backends, with ffmpeg installed on system libraries [closed]

  28 mars, par Alberto Agudo Dominguez

  I installed torchaudio 2.5.1 and a system install of ffmpeg on Windows and get :

  


  PS C:\Users\> ffmpeg -version
ffmpeg version 2025-01-05-git-19c95ecbff-essentials_build-www.gyan.dev Copyright (c) 2000-2025 the FFmpeg developers
built with gcc 14.2.0 (Rev1, Built by MSYS2 project)
configuration: --enable-gpl --enable-version3 --enable-static --disable-w32threads --disable-autodetect --enable-fontconfig --enable-iconv --enable-gnutls --enable-libxml2 --enable-gmp --enable-bzlib --enable-lzma --enable-zlib --enable-libsrt --enable-libssh --enable-libzmq --enable-avisynth --enable-sdl2 --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxvid --enable-libaom --enable-libopenjpeg --enable-libvpx --enable-mediafoundation --enable-libass --enable-libfreetype --enable-libfribidi --enable-libharfbuzz --enable-libvidstab --enable-libvmaf --enable-libzimg --enable-amf --enable-cuda-llvm --enable-cuvid --enable-dxva2 --enable-d3d11va --enable-d3d12va --enable-ffnvcodec --enable-libvpl --enable-nvdec --enable-nvenc --enable-vaapi --enable-libgme --enable-libopenmpt --enable-libopencore-amrwb --enable-libmp3lame --enable-libtheora --enable-libvo-amrwbenc --enable-libgsm --enable-libopencore-amrnb --enable-libopus --enable-libspeex --enable-libvorbis --enable-librubberband
libavutil      59. 54.101 / 59. 54.101
libavcodec     61. 31.100 / 61. 31.100
libavfilter    10.  6.101 / 10.  6.101
libswresample   5.  4.100 /  5.  4.100
libpostproc    58.  4.100 / 58.  4.100

PS C:\Users\> python
Python 3.12.5 (tags/v3.12.5:ff3bc82, Aug  6 2024, 20:45:27) [MSC v.1940 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import torchaudio
>>> torchaudio.list_audio_backends()
[]


  


  Hence ffmpeg is added to the path and recognized by the console, but not by torchaudio.

  


• Stream H264 raw data on RTSP server

  1er janvier, par Aitazaz

  I have H264 hex string data saved in a list.
The data is in correct format as it is being received, I am trying to stream it to RTSP server.

  


  I have stream the data in realtime as it is from a dashcam.

  


  The RTSP server is deployed but when I stream frames to it, the connection is created and then ends in an instant (does not last for a second)

  


  The code is mentioned below which performs this streaming task.

  


  def h264_stream_to_rtsp(data_list, rtsp_url):
    try:
        ffmpeg_command = [
            "ffmpeg", 
            "-f", "h264",
            "-i", "-",
            "-vcodec", "libx264",
            "-preset", "fast",
            "-f", "rtsp",
            "-analyzeduration", "5000000",
            "-probesize", "5000000", 
            rtsp_url  # The RTSP URL to stream to
        ]
        
        ffmpeg_process = subprocess.Popen(ffmpeg_command, stdin=subprocess.PIPE)

        for index, hex_data in enumerate(data_list):
            # print(f"Processing hex data {index + 1}/{len(data_list)}...")

            if len(hex_data) % 2 != 0:
                hex_data = '0' + hex_data  # Append a leading zero if length is odd

            binary_data = binascii.unhexlify(hex_data)

            ffmpeg_process.stdin.write(binary_data)

        ffmpeg_process.stdin.close()

        ffmpeg_process.wait()
        print("Stream completed.")

    except KeyboardInterrupt:
        print("Stopping live stream.")
    except Exception as e:
        print(f"Error: {e}")


  


  Logs from the RTSP server are mentioned below :

  


  2025/01/01 10:56:04 INF [RTSP] [conn 20.174.9.78:35474] opened
2025/01/01 10:56:04 INF [RTSP] [session 1d2bb871] created by 20.174.9.78:35474
2025/01/01 10:56:04 INF [RTSP] [session 1d2bb871] is publishing to path 'live', 1 track (H264)
2025/01/01 10:56:04 INF [RTSP] [session 1d2bb871] destroyed: torn down by 20.174.9.78:35474
2025/01/01 10:56:04 INF [RTSP] [conn 20.174.9.78:35474] closed: EOF
2025/01/01 10:56:48 INF [RTSP] [conn 20.174.9.78:54448] opened
2025/01/01 10:56:48 INF [RTSP] [session b6a95e71] created by 20.174.9.78:54448
2025/01/01 10:56:48 INF [RTSP] [session b6a95e71] is publishing to path 'live', 1 track (H264)
2025/01/01 10:56:48 INF [RTSP] [session b6a95e71] destroyed: torn down by 20.174.9.78:54448


  


  How can I stream continuously ?

  


• Can I use the file buffer or stream as input for fluent-ffmpeg ? I am trying to avoid saving the video locally to get its path before removing

  22 avril 2023, par Moath Thawahreh

  I am receiving the file via an api, I was trying to process the file.buffer as input for FFmpeg but it did not work, I had to save the video locally first and then process the path and remove the saved video later on.
I don't want to believe that there is no other way to solve this and I have been looking for solutions and workarounds but it was all about ffmpeg input as a path.

  


  I would love to find a solution using fluent-ffmpeg because it has some other great features, but I won't mind any suggestions for compressing the video using any different approaches if it's more efficient

  


  Again my code below works fine but I have to save the video and then remove it I am hoping for a more efficient solution :

  


    fs.writeFileSync(&#x27;temp.mp4&#x27;, file.buffer);&#xA;&#xA;    // Resize the temporary file using ffmpeg&#xA;    ffmpeg(&#x27;temp.mp4&#x27;) // here I tried pass file.buffer as readable stream,it receives paths only &#xA;      .format(&#x27;mp4&#x27;)&#xA;      .size(&#x27;50%&#x27;)&#xA;      .save(&#x27;resized.mp4&#x27;)&#xA;      .on(&#x27;end&#x27;, async () => {&#xA;        // Upload the resized file to Firebase&#xA;        const resizedFileStream = bucket.file(`video/${uniqueId}`).createWriteStream();&#xA;        fs.createReadStream(&#x27;resized.mp4&#x27;).pipe(resizedFileStream);&#xA;&#xA;        await new Promise<void>((resolve, reject) => {&#xA;          resizedFileStream&#xA;            .on(&#x27;finish&#x27;, () => {&#xA;              // Remove the local files after they have been uploaded&#xA;              fs.unlinkSync(&#x27;temp.mp4&#x27;);&#xA;              fs.unlinkSync(&#x27;resized.mp4&#x27;);&#xA;              resolve();&#xA;            })&#xA;            .on(&#x27;error&#x27;, reject);&#xA;        });&#xA;&#xA;        // Get the URL of the uploaded resized version&#xA;        const resizedFile = bucket.file(`video/${uniqueId}`);&#xA;        const url = await resizedFile.getSignedUrl({&#xA;          action: &#x27;read&#x27;,&#xA;          expires: &#x27;03-17-2025&#x27;, // Change this to a reasonable expiration date&#xA;        });&#xA;&#xA;        console.log(&#x27;Resized file uploaded successfully.&#x27;);&#xA;      })&#xA;      .on(&#x27;error&#x27;, (err) => {&#xA;        console.log(&#x27;An error occurred: &#x27; &#x2B; err.message);&#xA;      });&#xA;</void>