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• How to set pts, dts and duration in ffmpeg library ?

  24 mars, par hslee

  I want to pack some compressed video packets(h.264) to ".mp4" container.
One word, Muxing, no decoding and no encoding.
And I have no idea how to set pts, dts and duration.

  



  

  1. I get the packets with "pcap" library.

  


  2. I removed headers before compressed video data show up. e.g. Ethernet, VLAN.

  


  3. I collected data until one frame and decoded it for getting information of data. e.g. width, height. (I am not sure that it is necessary)

  


  4. I initialized output context, stream and codec context.

  


  5. I started to receive packets with "pcap" library again. (now for muxing)

  


  6. I made one frame and put that data in AVPacket structure.

  


  7. I try to set PTS, DTS and duration. (I think here is wrong part, not sure though)

  


  



  *7-1. At the first frame, I saved time(msec) with packet header structure.

  



  *7-2. whenever I made one frame, I set parameters like this : PTS(current time - start time), DTS(same PTS value), duration(current PTS - before PTS)

  



  I think it has some error because :

  



  


  1. I don't know how far is suitable long for dts from pts.

  


  2. At least, I think duration means how long time show this frame from now to next frame, so It should have value(next PTS - current PTS), but I can not know the value next PTS at that time.

  


  



  It has I-frame only.

  



  // make input context for decoding

AVFormatContext *&ic = gInputContext;

ic = avformat_alloc_context();

AVCodec *cd = avcodec_find_decoder(AV_CODEC_ID_H264);

AVStream *st = avformat_new_stream(ic, cd);

AVCodecContext *cc = st->codec;

avcodec_open2(cc, cd, NULL);

// make packet and decode it after collect packets is be one frame

gPacket.stream_index = 0;

gPacket.size    = gPacketLength[0];

gPacket.data    = gPacketData[0];

gPacket.pts     = AV_NOPTS_VALUE;

gPacket.dts     = AV_NOPTS_VALUE;

gPacket.flags   = AV_PKT_FLAG_KEY;

avcodec_decode_video2(cc, gFrame, &got_picture, &gPacket);

// I checked automatically it initialized after "avcodec_decode_video2"

// put some info that I know that not initialized

cc->time_base.den   = 90000;

cc->time_base.num   = 1;

cc->bit_rate    = 2500000;

cc->gop_size    = 1;

// make output context with input context

AVFormatContext *&oc = gOutputContext;

avformat_alloc_output_context2(&oc, NULL, NULL, filename);

AVFormatContext *&ic = gInputContext;

AVStream *ist = ic->streams[0];

AVCodecContext *&icc = ist->codec;

AVStream *ost = avformat_new_stream(oc, icc->codec);

AVCodecContext *occ = ost->codec;

avcodec_copy_context(occ, icc);

occ->flags |= CODEC_FLAG_GLOBAL_HEADER;

avio_open(&(oc->pb), filename, AVIO_FLAG_WRITE);

// repeated part for muxing

AVRational Millisecond = { 1, 1000 };

gPacket.stream_index = 0;

gPacket.data = gPacketData[0];

gPacket.size = gPacketLength[0];

gPacket.pts = av_rescale_rnd(pkthdr->ts.tv_sec * 1000 /

    + pkthdr->ts.tv_usec / 1000 /

    - gStartTime, Millisecond.den, ost->time_base.den, /

    (AVRounding)(AV_ROUND_NEAR_INF | AV_ROUND_PASS_MINMAX));

gPacket.dts = gPacket.pts;

gPacket.duration = gPacket.pts - gPrev;

gPacket.flags = AV_PKT_FLAG_KEY;

gPrev = gPacket.pts;

av_interleaved_write_frame(gOutputContext, &gPacket);


  



  Expected and actual results is a .mp4 video file that can play.

  


• Batch splitting large audio files into small fixed-length audio files in moments of silence

  26 juillet 2023, par Haldjärvi

  to train the SO-VITS-SVC neural network, we need 10-14 second voice files. As a material, let's say I use phrases from some game. I have already made a batch script for decoding different files into one working format, another batch script for removing silence, as well as a batch script for combining small audio files into files of 13-14 seconds (I used Python, pydub and FFmpeg). To successfully automatically create a training dataset, it remains only to make one batch script - Cutting audio files lasting more than 14 seconds into separate files lasting 10-14 seconds, cutting in places of silence or close to silence is highly preferable.

  


  So, it is necessary to batch cut large audio files (20 seconds, 70 seconds, possibly several hundred seconds) into segments of approximately 10-14 seconds, however, the main task is to look for the quietest place in the cut areas so as not to cut phrases in the middle of a word (this is not very good for model training). So, is it really possible to do this in a very optimal way, so that the processing of a 30-second file does not take 15 seconds, but is fast ? Quiet zone detection is required only in the area of cuts, that is, 10-14 seconds, if counted from the very beginning of the file.

  


  I would be very grateful for any help.

  


  I tried to write a script together with ChatGPT, but all options gave completely unpredictable results and were not even close to what I needed... I had to stop at the option with a sharp cut of files for exactly 14000 milliseconds. However, I hope there is a chance to make a variant with cutting exactly in quiet areas.

  


  import os
from pydub import AudioSegment

input_directory = ".../RemSilence/"
output_directory = ".../Split/"
max_duration = 14000

def split_audio_by_duration(input_file, duration):
    audio = AudioSegment.from_file(input_file)
    segments = []
    for i in range(0, len(audio), duration):
        segment = audio[i:i + duration]
        segments.append(segment)
    return segments

if __name__ == "__main__":
    os.makedirs(output_directory, exist_ok=True)
    audio_files = [os.path.join(input_directory, file) for file in os.listdir(input_directory) if file.endswith(".wav")]
    audio_files.sort(key=lambda file: len(AudioSegment.from_file(file)))
    for file in audio_files:
        audio = AudioSegment.from_file(file)
        if len(audio) > max_duration:
            segments = split_audio_by_duration(file, max_duration)
            for i, segment in enumerate(segments):
                output_filename = f"output_{len(os.listdir(output_directory))+1}.wav"
                output_file_path = os.path.join(output_directory, output_filename)
                segment.export(output_file_path, format="wav")
        else:
            output_filename = f"output_{len(os.listdir(output_directory))+1}.wav"
            output_file_path = os.path.join(output_directory, output_filename)
            audio.export(output_file_path, format="wav")


  


• Accented characters are not recognized in python [closed]

  10 avril 2023, par CorAnna

  I have a problem in the python script, my script should put subtitles in a video given a srt file, this srt file is written by another script but in its script it replaces the accents and all the particular characters with a black square symbol with a question mark inside it... the problem I think lies in the writing of this file, what follows and that in overwriting the subtitles I do with ffmpeg the sentences that contain an accented word are not written

  


  def video_audio_file_writer(video_file):

    videos_folder = "Video"
    audios_folder = "Audio"

    video_path = f"{videos_folder}\\{video_file}"

    video_name = Path(video_path).stem
    audio_name = f"{video_name}Audio"

    audio_path = f"{audios_folder}\\{audio_name}.wav"

    video = mp.VideoFileClip(video_path)
    audio = video.audio.write_audiofile(audio_path)

    return video_path, audio_path, video_name

    def audio_file_transcription(audio_path, lang):

    model = whisper.load_model("base")
    tran = gt.Translator()

    audio_file = str(audio_path)

    options = dict(beam_size=5, best_of=5)
    translate = dict(task="translate", **options)
    result = model.transcribe(audio_file, **translate)   

    return result

def audio_subtitles_transcription(result, video_name):

    subtitle_folder = "Content"
    subtitle_name = f"{video_name}Subtitle"
    subtitle_path_form = "srt"

    subtitle_path = f"{subtitle_folder}\\{subtitle_name}.{subtitle_path_form}"

    with open(os.path.join(subtitle_path), "w") as srt:
        # write_vtt(result["segments"], file=vtt)
        write_srt(result["segments"], file=srt)
            
    return subtitle_path

def video_subtitles(video_path, subtitle_path, video_name):

    video_subtitled_folder = "VideoSubtitles"
    video_subtitled_name = f"{video_name}Subtitles"
    video_subtitled_path = f"{video_subtitled_folder}\\{video_subtitled_name}.mp4"

    video_path_b = bytes(video_path, 'utf-8')
    subtitle_path_b = bytes(subtitle_path, 'utf-8')
    video_subtitled_path_b = bytes(video_subtitled_path, 'utf-8')

    path_abs_b = os.getcwdb() + b"\\"

    path_abs_bd = path_abs_b.decode('utf-8')
    video_path_bd= video_path_b.decode('utf-8')
    subtitle_path_bd = subtitle_path_b.decode('utf-8')
    video_subtitled_path_bd = video_subtitled_path_b.decode('utf-8')

    video_path_abs = str(path_abs_bd + video_path_bd)
    subtitle_path_abs = str(path_abs_bd + subtitle_path_bd).replace("\\", "\\\\").replace(":", "\\:")
    video_subtitled_path_abs = str(path_abs_bd + video_subtitled_path_bd)

    time.sleep(3)

    os.system(f"ffmpeg -i {video_path_abs} -vf subtitles='{subtitle_path_abs}' -y {video_subtitled_path_abs}")

    return video_subtitled_path_abs, video_path_abs, subtitle_path_abs

if __name__ == "__main__":

    video_path, audio_path, video_name = video_audio_file_writer(video_file="ChiIng.mp4")
    result = audio_file_transcription(audio_path=audio_path, lang="it")
    subtitle_path = audio_subtitles_transcription(result=result, video_name=video_name)
    video_subtitled_path_abs, video_path_abs, subtitle_path_abs = video_subtitles(video_path=video_path, subtitle_path=subtitle_path, video_name=video_name)
    
    print("Video Subtitled")


  


  Windows 11
Python 3.10