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• Get Timecode from MP4 generated in Adobe Premiere / Encoder in Python and FFMPEG

  3 novembre 2019, par russellaugust

  I’m writing a script that needs to either convert or re-container an MP4 as an MOV with timecode.

  I have an MP4 generated from Adobe Premiere. If I bring that file back into Premiere, I have timecode. I can see it so I know it is there.

  I can’t seem to extract the timecode track from the MP4. I’ve looked everywhere online and found some discussions around it, but no actual success in extracting the timecode.

  I’ve been using ffprobe to see if there’s any mention of the timecode in the MP4, but having no luck. I’ve tried PyMediaInfo with no success.

  Here’s what ffprobe shows :

  ffprobe version 4.2.1 Copyright (c) 2007-2019 the FFmpeg developers
  
    built with Apple clang version 11.0.0 (clang-1100.0.33.8)
  
    configuration: --prefix=/usr/local/Cellar/ffmpeg/4.2.1_1 --enable-shared --enable-pthreads --enable-version3 --enable-avresample --cc=clang --host-cflags='-I/Library/Java/JavaVirtualMachines/adoptopenjdk-13.jdk/Contents/Home/include -I/Library/Java/JavaVirtualMachines/adoptopenjdk-13.jdk/Contents/Home/include/darwin -fno-stack-check' --host-ldflags= --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libbluray --enable-libmp3lame --enable-libopus --enable-librubberband --enable-libsnappy --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libx265 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-librtmp --enable-libspeex --enable-libsoxr --enable-videotoolbox --disable-libjack --disable-indev=jack
  
    libavutil      56. 31.100 / 56. 31.100
  
    libavcodec     58. 54.100 / 58. 54.100
  
    libavformat    58. 29.100 / 58. 29.100
  
    libavdevice    58.  8.100 / 58.  8.100
  
    libavfilter     7. 57.100 /  7. 57.100
  
    libavresample   4.  0.  0 /  4.  0.  0
  
    libswscale      5.  5.100 /  5.  5.100
  
    libswresample   3.  5.100 /  3.  5.100
  
    libpostproc    55.  5.100 / 55.  5.100
  
  Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'demo_SequenceV3.mp4':
  
    Metadata:
  
      major_brand     : mp42
  
      minor_version   : 0
  
      compatible_brands: mp42mp41
  
      creation_time   : 2019-11-01T23:34:45.000000Z
  
    Duration: 00:00:27.69, start: 0.000000, bitrate: 10463 kb/s
  
      Stream #0:0(eng): Video: h264 (Main) (avc1 / 0x31637661), yuv420p(tv, bt709), 2304x1152 [SAR 1:1 DAR 2:1], 10142 kb/s, 23.98 fps, 23.98 tbr, 24k tbn, 48k tbc (default)
  
      Metadata:
  
        creation_time   : 2019-11-01T23:34:45.000000Z
  
        handler_name    : ?Mainconcept Video Media Handler
  
        encoder         : AVC Coding
  
      Stream #0:1(eng): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 317 kb/s (default)
  
      Metadata:
  
        creation_time   : 2019-11-01T23:34:46.000000Z
  
        handler_name    : #Mainconcept MP4 Sound Media Handler
  
  [STREAM]
  
  index=0
  
  codec_name=h264
  
  codec_long_name=H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10
  
  profile=Main
  
  codec_type=video
  
  codec_time_base=1001/48000
  
  codec_tag_string=avc1
  
  codec_tag=0x31637661
  
  width=2304
  
  height=1152
  
  coded_width=2304
  
  coded_height=1152
  
  has_b_frames=0
  
  sample_aspect_ratio=1:1
  
  display_aspect_ratio=2:1
  
  pix_fmt=yuv420p
  
  level=50
  
  color_range=tv
  
  color_space=bt709
  
  color_transfer=bt709
  
  color_primaries=bt709
  
  chroma_location=left
  
  field_order=unknown
  
  timecode=N/A
  
  refs=1
  
  is_avc=true
  
  nal_length_size=4
  
  id=N/A
  
  r_frame_rate=24000/1001
  
  avg_frame_rate=24000/1001
  
  time_base=1/24000
  
  start_pts=0
  
  start_time=0.000000
  
  duration_ts=663663
  
  duration=27.652625
  
  bit_rate=10142082
  
  max_bit_rate=N/A
  
  bits_per_raw_sample=8
  
  nb_frames=663
  
  nb_read_frames=N/A
  
  nb_read_packets=N/A
  
  DISPOSITION:default=1
  
  DISPOSITION:dub=0
  
  DISPOSITION:original=0
  
  DISPOSITION:comment=0
  
  DISPOSITION:lyrics=0
  
  DISPOSITION:karaoke=0
  
  DISPOSITION:forced=0
  
  DISPOSITION:hearing_impaired=0
  
  DISPOSITION:visual_impaired=0
  
  DISPOSITION:clean_effects=0
  
  DISPOSITION:attached_pic=0
  
  DISPOSITION:timed_thumbnails=0
  
  TAG:creation_time=2019-11-01T23:34:45.000000Z
  
  TAG:language=eng
  
  TAG:handler_name=Mainconcept Video Media Handler
  
  TAG:encoder=AVC Coding
  
  [/STREAM]
  
  [STREAM]
  
  index=1
  
  codec_name=aac
  
  codec_long_name=AAC (Advanced Audio Coding)
  
  profile=LC
  
  codec_type=audio
  
  codec_time_base=1/48000
  
  codec_tag_string=mp4a
  
  codec_tag=0x6134706d
  
  sample_fmt=fltp
  
  sample_rate=48000
  
  channels=2
  
  channel_layout=stereo
  
  bits_per_sample=0
  
  id=N/A
  
  r_frame_rate=0/0
  
  avg_frame_rate=0/0
  
  time_base=1/48000
  
  start_pts=0
  
  start_time=0.000000
  
  duration_ts=1327326
  
  duration=27.652625
  
  bit_rate=317375
  
  max_bit_rate=335623
  
  bits_per_raw_sample=N/A
  
  nb_frames=1298
  
  nb_read_frames=N/A
  
  nb_read_packets=N/A
  
  DISPOSITION:default=1
  
  DISPOSITION:dub=0
  
  DISPOSITION:original=0
  
  DISPOSITION:comment=0
  
  DISPOSITION:lyrics=0
  
  DISPOSITION:karaoke=0
  
  DISPOSITION:forced=0
  
  DISPOSITION:hearing_impaired=0
  
  DISPOSITION:visual_impaired=0
  
  DISPOSITION:clean_effects=0
  
  DISPOSITION:attached_pic=0
  
  DISPOSITION:timed_thumbnails=0
  
  TAG:creation_time=2019-11-01T23:34:46.000000Z
  
  TAG:language=eng
  
  TAG:handler_name=#Mainconcept MP4 Sound Media Handler
  
  [/STREAM]
  
  [FORMAT]
  
  filename=demo_SequenceV3.mp4
  
  nb_streams=2
  
  nb_programs=0
  
  format_name=mov,mp4,m4a,3gp,3g2,mj2
  
  format_long_name=QuickTime / MOV
  
  start_time=0.000000
  
  duration=27.690667
  
  size=36216937
  
  bit_rate=10463290
  
  probe_score=100
  
  TAG:major_brand=mp42
  
  TAG:minor_version=0
  
  TAG:compatible_brands=mp42mp41
  
  TAG:creation_time=2019-11-01T23:34:45.000000Z
  
  [/FORMAT]

  And here was what I started experimenting with in Python.

  from pymediainfo import MediaInfo
  
  
  
  media_info = MediaInfo.parse('demo_SequenceV3.mp4')
  
  for track in media_info.tracks:
  
      if track.bit_rate is not None:
  
          print ("%s: %s" % (track.track_type, track.bit_rate))
  
      else:
  
          print ("""%s tracks do not have bit rate associated with them.""" % track.track_type)

  I know I’m not using MediaInfo correctly, but I couldn’t find any documentation on timecode, and to be honest I’m pretty confident it’ll just use FFMPEG’s system of searching for a data track that doesn’t appear to exist.

  Anyone here know enough about this to either get it working or to point me in the right direction ?

  The goal is to re-wrap an MP4 as an MOV and translate the timecode so it is back where it normally is on the MOV.

  EDIT : here is an example MP4 that I need to extract the timecode from :

  https://www.dropbox.com/s/a1euiumiapkpzhn/timecode_demo.mp4?dl=0

  And as you can see in this image, the MP4 does have timecode that is being read by Premiere on the bottom left of frame. TC starts at 10:11:12:13.

  https://www.dropbox.com/s/pafqicnnsqu93rl/timecode_window_in_premiere.png

• Python program which reads and extracts specific information from JSON file generated by FFPROBE

  3 février 2017, par Georgе Stoyanov

  I want to create a simple Python script, which runs a custom ffprobe script and then extracts some specific information from the generated JSON file. So the ffprobe command is :

  ffprobe -v quiet -print_format json -show_format -show_streams example.mp4 > output.json

  This command is extracting the video specific information into output.json file. Then I want to read the file and extract some specific information out of it. For example the JSON file has the following format :

  {
  
      "streams": [
  
          {
  
              "index": 0,
  
              "codec_name": "h264",
  
              "codec_long_name": "H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10",
  
              "profile": "High 4:2:2 Intra",
  
              "codec_type": "video",
  
              "codec_time_base": "1/100",
  
              "codec_tag_string": "[0][0][0][0]",
  
              "codec_tag": "0x0000",
  
              "width": 3840,
  
              "height": 2160,
  
              "coded_width": 3840,
  
              "coded_height": 2160,
  
              "has_b_frames": 0,
  
              "sample_aspect_ratio": "1:1",
  
              "display_aspect_ratio": "16:9",
  
              "pix_fmt": "yuv422p10le",
  
              "level": 52,
  
              "color_range": "tv",
  
              "color_space": "bt709",
  
              "color_transfer": "bt709",
  
              "color_primaries": "bt709",
  
              "chroma_location": "left",
  
              "field_order": "progressive",
  
              "refs": 1,
  
              "is_avc": "false",
  
              "nal_length_size": "0",
  
              "r_frame_rate": "50/1",
  
              "avg_frame_rate": "50/1",
  
              "time_base": "1/50",
  
              "start_pts": 0,
  
              "start_time": "0.000000",
  
              "duration_ts": 15000,
  
              "duration": "300.000000",
  
              "bits_per_raw_sample": "10",
  
              "disposition": {
  
                  "default": 0,
  
                  "dub": 0,
  
                  "original": 0,
  
                  "comment": 0,
  
                  "lyrics": 0,
  
                  "karaoke": 0,
  
                  "forced": 0,
  
                  "hearing_impaired": 0,
  
                  "visual_impaired": 0,
  
                  "clean_effects": 0,
  
                  "attached_pic": 0,
  
                  "timed_thumbnails": 0
  
              },
  
              "tags": {
  
                  "file_package_umid": "0x060A2B340101010501010D0013EC94F152947134B6EC94F10052947134B6EC01",
  
                  "file_package_name": "Source Package"
  
              }
  
          }
  
      ],
  
      "format": {
  
          "filename": "300sec.mxf",
  
          "nb_streams": 1,
  
          "nb_programs": 0,
  
          "format_name": "mxf",
  
          "format_long_name": "MXF (Material eXchange Format)",
  
          "start_time": "0.000000",
  
          "duration": "300.000000",
  
          "size": "16772788991",
  
          "bit_rate": "447274373",
  
          "probe_score": 100,
  
          "tags": {
  
              "uid": "adab4424-2f25-4dc7-92ff-29bd000c0000",
  
              "generation_uid": "adab4424-2f25-4dc7-92ff-29bd000c0001",
  
              "company_name": "FFmpeg",
  
              "product_name": "OP1a Muxer",
  
              "product_version": "57.66.101",
  
              "product_uid": "adab4424-2f25-4dc7-92ff-29bd000c0002",
  
              "modification_date": "0-01-02T00:00:00.000000Z",
  
              "material_package_umid": "0x060A2B340101010501010D0013EC94F152947134B6EC94F10052947134B6EC00",
  
              "timecode": "00:00:00:00"
  
          }
  
      }
  
  }

  Perfect will be if the Python script runs and then asks you for the path to the input file.

  Unfortunately I have very little experience with Python, but it comes pre-installed on my system and I want to use it. The other option is to write a bash script doing the same. Any suggestions will be greatly appreciated.

  So far I have figured out how I can open the JSON file and to extract data from it using :

  import json
  
  
  
  with open('output.json') as json_data:
  
      data = json.load(json_data)
  
      json_data.close()
  
      print(data["streams"][0]["codec_name"])
  
      print(data["streams"][0]["profile"])

• Convert 2 channel mp4 to each mono wav file using FFMPEG or Python code

  30 mai 2024, par Harish Alwala

  I am new to audio files and its codecs.

  


  I would like to convert a 2 channel mp4 file to a single mono wav files.

  


  My understanding is a when I say 2 channel, it stores speech coming from each microphone in a separate channel. And when I split the channels to each individual mono wav files, I get speech of each microphone.

  


  My intension here is to get the speech from each channel and convert them to text. This way I can set the name of the speaker based on channel.

  


  I tried with ffmpeg and python code as well, unfortunately I get two files with same content.

  


  Looking at the following details
can someone construct ffmpeg command or python script to convert the 2 channel mp4 file to 2 individual mono wav files.

  


  FFprobe
ffprobe -i Two-Channel.mp4 -show_streams -select_streams a

  


  Result

  


  Metadata:
    major_brand     : mp42
    minor_version   : 0
    compatible_brands: isommp42
    encoder         : Google
  Duration: 00:52:42.19, start: 0.000000, bitrate: 421 kb/s
  Stream #0:0[0x1](und): Video: h264 (Main) (avc1 / 0x31637661), yuv420p(tv, bt709, progressive), 640x360 [SAR 1:1 DAR 16:9], 322 kb/s, 25 fps, 25 tbr, 12800 tbn (default)
      Metadata:
        handler_name    : ISO Media file produced by Google Inc.
        vendor_id       : [0][0][0][0]
  Stream #0:1[0x2](eng): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 96 kb/s (default)
      Metadata:
        handler_name    : ISO Media file produced by Google Inc.
        vendor_id       : [0][0][0][0]
[STREAM]
index=1
codec_name=aac
codec_long_name=AAC (Advanced Audio Coding)
profile=LC
codec_type=audio
codec_tag_string=mp4a
codec_tag=0x6134706d
sample_fmt=fltp
sample_rate=44100
channels=2
channel_layout=stereo
bits_per_sample=0
initial_padding=0
id=0x2
r_frame_rate=0/0
avg_frame_rate=0/0
time_base=1/44100
start_pts=0
start_time=0.000000
duration_ts=139452416
duration=3162.186304
bit_rate=96000
max_bit_rate=N/A
bits_per_raw_sample=N/A
nb_frames=136184
nb_read_frames=N/A
nb_read_packets=N/A
extradata_size=16
DISPOSITION:default=1
DISPOSITION:dub=0
DISPOSITION:original=0
DISPOSITION:comment=0
DISPOSITION:lyrics=0
DISPOSITION:karaoke=0
DISPOSITION:forced=0
DISPOSITION:hearing_impaired=0
DISPOSITION:visual_impaired=0
DISPOSITION:clean_effects=0
DISPOSITION:attached_pic=0
DISPOSITION:timed_thumbnails=0
DISPOSITION:non_diegetic=0
DISPOSITION:captions=0
DISPOSITION:descriptions=0
DISPOSITION:metadata=0
DISPOSITION:dependent=0
DISPOSITION:still_image=0
TAG:language=eng
TAG:handler_name=ISO Media file produced by Google Inc.
TAG:vendor_id=[0][0][0][0]
[/STREAM] 


  


  FFmpeg command

  


  ffmpeg -i Two-Channel.mp4 -filter_complex "pan=mono|c0=0c0" left_channel.wav

  


  python code
using FFPMEG I converted mp4 to wav and then tried below code