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• lavf/mpeg : Allow users to force audio codec MLP.

  20 août 2015, par Carl Eugen Hoyos

  lavf/mpeg : Allow users to force audio codec MLP.
  Fixes part of ticket #4786.
  

  • [DH] libavformat/mpeg.c

• create video from images and then stream to users

  9 janvier 2014, par Abdul Ali

  idea is to create a video from images provided by a user and at the same time stream the generated video to other user demanding it.

  kindly tell any efficient way to do this and which language out of PHP and C# .net will be suitable.

  have looked into ffmpeg to take images and convert to video and save to server and then stream .. kindly tell if this the possibility or any other method for live streaming.

  regards

  UPATE

  consider the following scenario as I understand :

  get images from server and start combining them to form a video. at the same time, stream the video to the users requesting it.. for new coming clients, stream the previously generated video from the begining and keep on sending the new video which is being generated from images to the previous clients.

  kindly tell if this is possible, if so then what can be the approach. Have read something about pipes but am completely new to ffmpeg and streaming in general.

• How do I timestamp an excel document using Pandas ?

  16 juillet 2015, par Andy Do

  I have a script that uses FFMPEG and CMD to cut video files based off of an excel document row by row. I would like python to add a timestamp after it is done with a row. Can you guys please help ?

  import subprocess as sp, pandas as pd
  
  
  
  ffmpeg = 'C:/FFMPEG/bin/ffmpeg.exe' # on Windows
  
  datafile = r'C:\Users\A_Do\Dropbox\1. Projects\2. Python\TM Creator\tm_creator_test1.xlsx'
  
  
  
  xl = pd.ExcelFile(datafile,index = False)
  
  df = xl.parse('Sheet1')
  
  
  
  def create_tm():
  
      row_iterator = df.iterrows()
  
       # take first item from row_iterator
  
      for i, row in row_iterator:
  
          infile = row['filename']
  
          outputfile = row['outputfilename']
  
          timein = row['timein']
  
          duration = row['duration']
  
          decision = row['Create TM?']
  
          if decision == "Y":
  
              sp.call(ffmpeg + " -y -i " + infile + " -map 0:0 -map 0:1 -map 0:2 -acodec copy -ss " + str(timein) + " -codec copy -t " + str(duration) + " " + outputfile,shell=True) #this works
  
  
  
          elif decision != decision: #this gets rid of the NaN
  
              break
  
          else:
  
              print "You said you didn't want to make a TM for " + str(infile)
  
  
  
  create_tm()

  Thanks !

  My final code :

  import subprocess as sp, pandas as pd
  
  # (1) new import
  
  from openpyxl import load_workbook
  
  # (2) new import
  
  from datetime import datetime
  
  
  
  ffmpeg = 'D:/FFMPEG/bin/ffmpeg.exe' # on Windows
  
  datafile = r'D:\Dropbox\1. Projects\2. Python\TM Creator\tm_creator_test1.xlsx'
  
  
  
  # (3) open the file in openpyxl first:
  
  book = load_workbook(datafile)
  
  
  
  xl = pd.ExcelFile(datafile,index = False)
  
  df = xl.parse('Sheet1')
  
  
  
  def create_tm():
  
      row_iterator = df.iterrows()
  
       # take first item from row_iterator
  
      for i, row in row_iterator:
  
          infile = row['filename']
  
          outputfile = row['outputfilename']
  
          timein = row['timein']
  
          duration = row['duration']
  
          decision = row['Create TM?']
  
          if decision == "Y":
  
              sp.call(ffmpeg + " -y -i " + infile + " -map 0:0 -map 0:1 -acodec copy -ss " + str(timein) + " -codec copy -t " + str(duration) + " " + outputfile,shell=True) #this works
  
              # (4) Wherever in the code you want to put the timestamp:
  
              df.loc[i, 'Timestamp'] = str(datetime.now())
  
              # (5) This saves the sheet back into the original file, without removing
  
              # any of the old sheets.
  
              writer = pd.ExcelWriter(datafile)
  
              writer.book = book
  
              writer.sheets = dict((ws.title, ws) for ws in book.worksheets)
  
              df.to_excel(writer, index=False)
  
              writer.save()
  
          elif decision != decision: #this gets rid of the NaN
  
              break
  
          else:
  
              print "You said you didn't want to make a TM for " + str(infile)