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  • VB.NET FFMPEG Stops

    18 mars 2012, par Mcqueen_23

    Hi evryone i'm trying to convert files using ffmpeg

    my codes only fetched


    — -Skip--- Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'Enrique Iglesias - Tonight.mp4' : Metadata : major_brand : mp42 minor_version : 0 compatible_brands : isommp42 creation_time : 2011-03-20 19:07:02 Duration : 00:03:50.05, start : 0.000000, bitrate : 219 kb/s Stream #0.0(und) : Video : h264, yuv420p, 480x360 [PAR 1:1 DAR 4:3], 117 kb/s, 29.97 fps, 59.75 tbr, 1k tbn, 59.83 tbc Metadata : creation_time : 1970-01-01 00:00:00 Stream #0.1(und) : Audio : aac, 44100 Hz, stereo, s16, 95 kb/s Metadata : creation_time : 2011-03-20 19:07:03 Output #0, mp3, to 'Enrique Iglesias - Tonight.mp3' : Metadata : major_brand : mp42 minor_version : 0 compatible_brands : isommp42 TDEN : 2011-03-20 19:07:02 TSSE : Lavf52.94.0 Stream #0.0(und) : Audio : libmp3lame, 44100 Hz, stereo, s16, 64 kb/s Metadata : creation_time : 2011-03-20 19:07:03

    and cannot i cannot get the next lines ung Proccess.ErrorDataReceived event

    Here are my Codes

       Public Structure ItemStruct
           Public ID, URL, FileName, FileExt, ConvertExt, ConvertQuery As String
           Public FileSize As Int64
           Public Method, status As Method
           Public prog_bar As ProgressBar
           Public DeleteOrigin, TrimStart, TrimEnd As Boolean
       End Structure

       Friend Class Converter
           Public busy As Boolean = False
           Private _Item As ItemStruct
           Public Event ProgressChange(ByVal id As String, ByVal percent As Integer, ByVal etr As TimeSpan)
           Public Event ConvertFinish(ByVal id As String)
           Private m As Threading.Thread
           Private WithEvents timer As New Timer With {.Interval = 100}

           Public Sub New()
           End Sub

           Public Sub New(ByVal item As ItemStruct)
               _Item = item
               m = New Threading.Thread(AddressOf Convert)
           End Sub

           Public Sub Start()
               m.Start()
               timer.Start()
           End Sub

           Private duration As Decimal = 0.0F
           Private current As Decimal = 0.0F
           Private varIsSet As Boolean = False
           Private Sub Convert()
               Dim cmd As String = _Item.ConvertQuery
               Dim inputName As String = _Item.URL
               Dim fName As String = _Item.FileName & _Item.FileExt
               Dim dir As String = _Item.URL.Replace(fName, "")
               Dim ouputName As String = dir & _Item.FileName & "." & _Item.ConvertExt
               cmd = Replace(cmd, "--i", inputName)
               cmd = Replace(cmd, "--o", ouputName)
               cmd = cmd.Remove(0, 6)
               cmd = cmd.Trim
               Dim proc As New Process
               With proc.StartInfo
                   .FileName = Path.Combine(Application.StartupPath, "ffmpeg.exe")
                   .Arguments = cmd
                   proc.EnableRaisingEvents = False
                   .UseShellExecute = False
                   .CreateNoWindow = True
                   .RedirectStandardError = True
                   .RedirectStandardOutput = True
                   .RedirectStandardInput = True
                   AddHandler proc.ErrorDataReceived, AddressOf UpdateData
                   proc.Start()
                   proc.BeginErrorReadLine()
               End With
           End Sub

           Public Sub Cancel()
               m.Abort()
           End Sub

           Private Sub UpdateData(ByVal sender As Object, ByVal e As DataReceivedEventArgs)
               Dim s As String = e.Data
               If s.Contains("Duration: ") Then
                   duration = GetDuration(s)
               ElseIf s.Contains("frame=") Then
                   current = GetTime(s)
               Else
                   Dim proc As Process = DirectCast(sender, Process)
                   Dim m As Match = Regex.Match(s, "^File\ '(.*?)'\ already\ exists", RegexOptions.IgnoreCase)
                   If m.Success Then
                       Dim w As StreamWriter = proc.StandardInput
                       If MessageBox.Show("File '" & m.Groups(1).ToString & "' already exists." & vbNewLine & "Do you want to Overwrite existing file?", "Overwrite", MessageBoxButtons.YesNo) = DialogResult.Yes Then
                           w.WriteLine("y")
                       Else
                           w.WriteLine("n")
                       End If
                   End If

                   'RaiseEvent ConvertFinish(_Item.ID)
                   'proc.WaitForExit()
                   'proc.Close()
               End If
               Debug.Print(s)
               If Not duration And Not current Then varIsSet = False Else varIsSet = True
           End Sub

           Private Function GetDuration(ByVal s As String) As Double
               Dim m As Match = Regex.Match(s, "Duration: ((.*?), (.*))")
               If m.Success Then
                   Dim duration As String = m.Groups(2).ToString
                   Return TimeSpan.Parse(duration).TotalSeconds
               End If
               Return Nothing
           End Function

           Private Function GetTime(ByVal s As String) As Double
               Dim m As Match = Regex.Match(s, "(.*) time=(.*) bitrate")
               If m.Success Then
                   Dim currentTime As String = m.Groups(2).ToString
                   Return TimeSpan.Parse(currentTime).TotalSeconds
               End If
               Return Nothing
           End Function

           Private Sub timer_Tick(ByVal sender As Object, ByVal e As System.EventArgs) Handles timer.Tick
               If varIsSet Then
                   Dim etr As TimeSpan = TimeSpan.FromSeconds(CInt(current / duration))
                   etr = New TimeSpan(etr.Hours, etr.Minutes, etr.Seconds)
                   RaiseEvent ProgressChange(_Item.ID, CInt((current / duration) * 100 * 100), etr)
               End If
           End Sub
       End Class
  • node.js ffmpeg spawn child_process unexpected data output and not possible to kill or stop

    1er septembre 2021, par PLNR

    
I'm rather new to backend stuff, so please excuse, if my question is trivial.
    
For an Intranet project, I want to present a video element in a webpage (React, HLS.js Player) with the possibility reload the stream in case it hung.
    
The video sources are mpeg-ts streams delivered as udp multicast.
    
A small node.js / express server should handle the ffmpeg commands, to transcode the multicast to hls to display them in a browser.
    

    
My Problem is, that I am unable to stop the process...
    
I've tried to SIGINT, SIGTERM the process with it's pid, but the encoding is just going on.

    


    Here is the code I wrote for transcoding so far :

    


    const express = require("express");
const { spawn, exec } = require("child_process");
const cors = require("cors");
const process = require("process")

let ls;
let pid;

const app = express();

app.use(cors());

app.get('/cam/:source', (body) => {
    const cam = body.params.source;
    console.log(cam);

    let source = "udp://239.1.1.1:4444";
    let stream = "/var/www/html/streams/tmp/cam1.m3u8"


    stream = spawn("ffmpeg", ["-re", "-i", source, "-c:v", "libx264", "-crf", "21", "-preset", "veryfast", "-c:a", "aac", "-b:a", "128k", "-ac", "2", "-f", "hls", "-hls_list_size", "5", "-hls_flags", "delete_segments", stream], {detached: true});

    pid = stream.pid;

    stream.stdout.on("data", data => {
        console.log(`stdout: ${data}`);
    });

    stream.stderr.on("data", data => {
        console.log(`stderr: ${data}`);
        console.log("pid: ", pid);
    });

    stream.on("error", error => {
        console.log(`error: ${error.message}`);
    });

    stream.on("close", code => {
        console.log(`child process exited with code ${code}`);
    });
})

app.get('/cam/quit', () => {
    process.kill(pid, 'SIGINT')
})

app.listen(5000, ()=> {
    console.log('Listening');
})


    


    On requesting the /cam/quit i would expect the process to stop... but it doesn't.
    
I've tried :

    


    app.get('/cam/quit', () => {
    process.kill(pid, 'SIGINT')
})


    


    app.get('/cam/quit', () => {
    process.kill(stream.pid, 'SIGINT')
})


    


    app.get('/cam/quit', () => {
    stream.kill(pid, 'SIGINT')
})


    


    app.get('/cam/quit', () => {
    stream.kill(0, 'SIGINT')
})


    


    But none of this worked... do I miss something ? Is there something I need to change ?

    


    Problem 2 - Output :
    
The output is emitted on stderr... even the process is working as expected.
    
This is maybe only cosmetics, but it makes me wondering.
    
Here is the terminal output :

    


    [nodemon] starting `node server.js`
Listening
camera stream reloaded
stderr: ffmpeg version 4.3.2-0+deb11u1ubuntu1 Copyright (c) 2000-2021 the FFmpeg developers
  built with gcc 10 (Ubuntu 10.2.1-20ubuntu1)
  configuration: --prefix=/usr --extra-version=0+deb11u1ubuntu1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-pocketsphinx --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-nvenc --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared
  libavutil      56. 51.100 / 56. 51.100
  libavcodec     58. 91.100 / 58. 91.100
  libavformat    58. 45.100 / 58. 45.100
  libavdevice    58. 10.100 / 58. 10.100
  libavfilter     7. 85.100 /  7. 85.100
  libavresample   4.  0.  0 /  4.  0.  0
  libswscale      5.  7.100 /  5.  7.100
  libswresample   3.  7.100 /  3.  7.100
  libpostproc    55.  7.100 / 55.  7.100

pid:  4206
stderr: Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'udp://239.1.1.1':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    creation_time   : 
pid:  4206
stderr: 1970-01-01T00:00:00.000000Z
    encoder         : Lavf52.54.0
  Duration: 01:55:59.20, start: 0.000000, bitrate: 1436 kb/s
    Stream #0:0(und): Video: h264 (Constrained Baseline) (avc1 / 0x31637661), yuv420p, 720x384 [SAR 1:1 DAR 15:8], 1272 kb/s, 25 fps, 25 tbr, 25 tbn, 50 tbc (default)
    Metadata:
      creation_time   : 1970-01-01T00:00:00.000000Z
      handler_name    : VideoHandler
    Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 159 kb/s (default)
    Metadata:
      creation_time   : 1970-01-01T00:00:00.000000Z
      handler_name    : SoundHandler

pid:  4206
stderr: Stream mapping:
  Stream #0:0 -> #0:0 (h264 (native) -> h264 (libx264))
  Stream #0:1 -> #0:1 (aac (native) -> aac (native))
Press [q] to stop, [?] for help

pid:  4206
stderr: [libx264 @ 0x5616b38b5440] using SAR=1/1

pid:  4206
stderr: [libx264 @ 0x5616b38b5440] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2

pid:  4206
stderr: [libx264 @ 0x5616b38b5440] profile High, level 3.0, 4:2:0, 8-bit

pid:  4206
stderr: [libx264 @ 0x5616b38b5440] 264 - core 160 r3011 cde9a93 - H.264/MPEG-4 AVC codec - Copyleft 2003-2020 - http://www.videolan.org/x264.html - options: cabac=1 ref=1 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=2 psy=1 psy_rd=1.00:0.00 mixed_ref=0 me_range=16 chroma_me=1 trellis=0 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=0 threads=6 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=1 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=10 rc=crf mbtree=1 crf=21.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
Output #0, hls, to '/var/www/html/streams/tmp/aft.m3u8':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf58.45.100
    Stream #0:0(und): Video: h264 (libx264), yuv420p, 720x384 [SAR 1:1 DAR 15:8], q=-1--1, 25 fps, 90k tbn, 25 tbc (default)
    Metadata:
      creation_time   : 1970-01-01T00:00:00.000000Z
      handler_name    : VideoHandler
      encoder         : Lavc58.91.100 libx264
    Side data:
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
    Stream #0:1(und): Audio: aac (LC), 48000 Hz, stereo, fltp, 128 kb/s (default)
    Metadata:
      creation_time   : 1970-01-01T00:00:00.000000Z
      handler_name    : SoundHandler
      encoder         : Lavc58.91.100 aac

pid:  4206
stderr: frame=    8 fps=0.0 q=0.0 size=N/A time=00:00:00.46 bitrate=N/A speed=0.931x    
pid:  4206
stderr: frame=   21 fps= 21 q=26.0 size=N/A time=00:00:00.96 bitrate=N/A speed=0.95x    
pid:  4206
stderr: frame=   33 fps= 22 q=26.0 size=N/A time=00:00:01.49 bitrate=N/A speed=0.982x    
pid:  4206
stderr: frame=   46 fps= 23 q=26.0 size=N/A time=00:00:02.00 bitrate=N/A speed=0.989x    
pid:  4206
stderr: frame=   58 fps= 23 q=26.0 size=N/A time=00:00:02.49 bitrate=N/A speed=0.986x    
pid:  4206


    


    and so on...
    

    
Any help would be highly appreciated !
    
Many thanks in advance

    


  • pyqt5 gui dependent on ffmpeg compiled with pyinstaller doesn't run on other machines ?

    19 octobre 2022, par Soren

    I am trying to create a simple Pyqt5 GUI for Windows 10 that uses OpenAI's model Whisper to transcribe a sound file and outputting the results in an Excel-file. It works on my own computer where I have installed the necessary dependencies for Whisper as stated on their github i.e. FFMEG. I provide a minimal example of my code below :

    


    # Import library
import whisper
import os
from PyQt5 import QtCore, QtGui, QtWidgets
import pandas as pd
import xlsxwriter


class Ui_Dialog(QtWidgets.QDialog):
    
    
    # Define functions to use in GUI
   
    # Define function for selecting input files
    def browsefiles(self, Dialog):
      
       
       # Make Dialog box and save files into tuple of paths
       files = QtWidgets.QFileDialog().getOpenFileNames(self, "Select soundfiles", os.getcwd(), "lyd(*mp2 *.mp3 *.mp4 *.m4a *wma *wav)")
       
       self.liste = []
       for url in range(len(files[0])):
           self.liste.append(files[0][url])   

    
    def model_load(self, Dialog):
               
        # Load picked model
        self.model = whisper.load_model(r'C:\Users\Søren\Downloads\Whisper_gui\models' + "\\" + self.combo_modelSize.currentText() + ".pt") ##the path is set to where the models are on the other machine
        
    
    def run(self, Dialog):
                
        # Make list for sound files
        liste_df = []
        
        
        # Running loop for interpreting and encoding sound files
        for url in range(len(self.liste)):
                          
            # Make dataframe
            df = pd.DataFrame(columns=["filename", "start", "end", "text"])
            
            # Run model
            result = self.model.transcribe(self.liste[url])
                            
            # Extract results
            for i in range(len(result["segments"])):
                start = result["segments"][i]["start"]
                end = result["segments"][i]["end"]
                text = result["segments"][i]["text"]
                
                df = df.append({"filename": self.liste[url].split("/")[-1],
                            "start": start, 
                            "end": end, 
                            "text": text}, ignore_index=True)
            
            # Add detected language to dataframe
            df["sprog"] = result["language"]
            
            
            liste_df.append(df)
        
        
        
        # Make excel output
        
        # Concatenate list of dfs
        dataframe = pd.concat(liste_df)
        
        
        # Create a Pandas Excel writer using XlsxWriter as the engine.
        writer = pd.ExcelWriter(self.liste[0].split(".")[0] + '_OUTPUT.xlsx', engine='xlsxwriter')
        writer_wrap_format = writer.book.add_format({"text_wrap": True, 'num_format': '@'})


        # Write the dataframe data to XlsxWriter. Turn off the default header and
        # index and skip one row to allow us to insert a user defined header.
        dataframe.to_excel(writer, sheet_name="Output", startrow=1, header=False, index=False)

        # Get the xlsxwriter workbook and worksheet objects.
        #workbook = writer.book
        worksheet = writer.sheets["Output"]

        # Get the dimensions of the dataframe.
        (max_row, max_col) = dataframe.shape

        # Create a list of column headers, to use in add_table().
        column_settings = [{'header': column} for column in dataframe.columns]

        # Add the Excel table structure. Pandas will add the data.
        worksheet.add_table(0, 0, max_row, max_col - 1, {'columns': column_settings})

        # Make the columns wider for clarity.
        worksheet.set_column(0, max_col - 1, 12)
        
        in_col_no = xlsxwriter.utility.xl_col_to_name(dataframe.columns.get_loc("text"))
        
        worksheet.set_column(in_col_no + ":" + in_col_no, 30, writer_wrap_format)

        # Close the Pandas Excel writer and output the Excel file.
        writer.save()
        writer.close()
    
    
    ## Design setup
    
    def setupUi(self, Dialog):
        Dialog.setObjectName("Dialog")
        Dialog.resize(730, 400)
        
        self.select_files = QtWidgets.QPushButton(Dialog)
        self.select_files.setGeometry(QtCore.QRect(40, 62, 81, 31))
        font = QtGui.QFont()
        font.setPointSize(6)
        self.select_files.setFont(font)
        self.select_files.setObjectName("select_files")
        
    
               
        
        self.combo_modelSize = QtWidgets.QComboBox(Dialog)
        self.combo_modelSize.setGeometry(QtCore.QRect(40, 131, 100, 21))
        font = QtGui.QFont()
        font.setPointSize(6)
        self.combo_modelSize.setFont(font)
        self.combo_modelSize.setObjectName("combo_modelSize")
               
        
        self.runButton = QtWidgets.QPushButton(Dialog)
        self.runButton.setGeometry(QtCore.QRect(40, 289, 71, 21))
        font = QtGui.QFont()
        font.setPointSize(6)
        self.runButton.setFont(font)
        self.runButton.setObjectName("runButton")
        
        
       

        self.retranslateUi(Dialog)
        QtCore.QMetaObject.connectSlotsByName(Dialog)
        
        
        
        modelSize_options = ['Chose model', 'tiny', 'base', 'small', 'medium', 'large']
        self.combo_modelSize.addItems(modelSize_options)
        
        # Do an action!
        self.select_files.clicked.connect(self.browsefiles)
        self.combo_modelSize.currentIndexChanged.connect(self.model_load)
        self.runButton.clicked.connect(self.run)
        
        
        
    

    def retranslateUi(self, Dialog):
        _translate = QtCore.QCoreApplication.translate
        Dialog.setWindowTitle(_translate("Dialog", "Dialog"))
        self.runButton.setText(_translate("Dialog", "Go!"))
        self.select_files.setText(_translate("Dialog", "Select"))


if __name__ == "__main__":
    import sys
    app = QtWidgets.QApplication(sys.argv)
    Dialog = QtWidgets.QDialog()
    ui = Ui_Dialog()
    ui.setupUi(Dialog)
    Dialog.show()
    sys.exit(app.exec_())


    


    I compile this app with pyinstaller using the following code. I had some issues to begin with so I found other with similar problems and ended up with this :

    


    pyinstaller --onedir --hidden-import=pytorch --collect-data torch --copy-metadata torch --copy-metadata tqdm --copy-metadata tokenizers --copy-metadata importlib_metadata --hidden-import="sklearn.utils._cython_blas" --hidden-import="sklearn.neighbors.typedefs" --hidden-import="sklearn.neighbors.quad_tree" --hidden-import="sklearn.tree" --hidden-import="sklearn.tree._utils" --copy-metadata regex --copy-metadata requests --copy-metadata packaging --copy-metadata filelock --copy-metadata numpy --add-data "./ffmpeg/*;./ffmpeg/" --hidden-import=whisper --copy-metadata whisper --collect-data whisper minimal_example_whisper.py

    


    When I take the outputtet dist directory and try to run the app on another Windows machine without FFMPEG installed (or Whisper or any other things), I get the following error from the terminal as I push the "run" button in the app (otherwise the app does run).

    


    C:\Users\Søren>"G:\minimal_example_whisper\minimal_example_whisper.exe"
whisper\transcribe.py:70: UserWarning: FP16 is not supported on CPU; using FP32 instead
Traceback (most recent call last):
  File "minimal_example_whisper.py", line 45, in run
  File "whisper\transcribe.py", line 76, in transcribe
  File "whisper\audio.py", line 111, in log_mel_spectrogram
  File "whisper\audio.py", line 42, in load_audio
  File "ffmpeg\_run.py", line 313, in run
  File "ffmpeg\_run.py", line 284, in run_async
  File "subprocess.py", line 951, in __init__
  File "subprocess.py", line 1420, in _execute_child
FileNotFoundError: [WinError 2] Den angivne fil blev ikke fundet


    


    I suspect this has something to do with FFMPEG not being installed on the other machines system ? Does anyone have an automatic solution for this when compiling the app or can it simply only run on machines that has FFMPEG installed ?

    


    Thanks in advance !