Recherche avancée

Médias (91)

Autres articles (71)

  • Websites made ​​with MediaSPIP

    2 mai 2011, par

    This page lists some websites based on MediaSPIP.

  • Creating farms of unique websites

    13 avril 2011, par

    MediaSPIP platforms can be installed as a farm, with a single "core" hosted on a dedicated server and used by multiple websites.
    This allows (among other things) : implementation costs to be shared between several different projects / individuals rapid deployment of multiple unique sites creation of groups of like-minded sites, making it possible to browse media in a more controlled and selective environment than the major "open" (...)

  • Ajouter des informations spécifiques aux utilisateurs et autres modifications de comportement liées aux auteurs

    12 avril 2011, par

    La manière la plus simple d’ajouter des informations aux auteurs est d’installer le plugin Inscription3. Il permet également de modifier certains comportements liés aux utilisateurs (référez-vous à sa documentation pour plus d’informations).
    Il est également possible d’ajouter des champs aux auteurs en installant les plugins champs extras 2 et Interface pour champs extras.

Sur d’autres sites (11616)

  • ffmpeg - Specifying timecode for a video in drop frame rate

    21 février 2018, par user2808584

    I want to create a copy of an existing video.mxf and give it a new starting timecode. This timecode is drop frame rate, and at 59.94fps (the same as in video.mxf). I know that this means that the first four frames (00, 01, 02, 03) are skipped in drop frame rate, at the start of every minute that is not a multiple of 10. I run

    ffmpeg -i video.MXF  -metadata timecode=00:08:00;04 -codec copy video_newTC.MXF  

    While ffmpeg executes this, there is a "timecode" entry that says "00:08:00 ;04". I then run :

    ffprobe video_newTC.MXF

    and the "timecode" entry says "00:08:00 ;20".

    It seems that for every full minute in the specified timecode, ffmpeg adds an additional 2 frames to whatever I specify (I could understand 4 frames, since 00->03 are skipped...). If the timecode that ffmpeg calculates passes the full-minute mark, an additional 2 frames are added. E.g. specifying the timecode as "00:07:59 ;59" results in ffmpeg giving video_newTC a starting timecode of "00:08:00 ;17" (59 + 16 + 2). Can anyone shed some light on what ffmpeg is doing ?

  • FFMPEG command from Python 3.5 does not actually create audio file

    20 décembre 2017, par Nathan Blaine

    I have a Django web application that accepts user uploaded videos/audio and saves them into a folder ’../WebAppDirectory/media/recordings’.

    I am then using a speech to text API to get a rough transcription of the audio. This is working fine for .wav and .mp4 files, but the web app also accepts videos (.MOV) that I would like to first convert to .wav, then pass off to the API.

    Using ffmpeg from my command line like this

    ffmpeg -i C:\Users\Nathan\Desktop\MeetingRecorderWebAPP\media\recordings\upload_sample.MOV -ab 160k -ac 2 -ar 44100 -vn upload_sample.wav

    Correctly creates the .wav file from the original .MOV.

    However, when I run this from python with

    subprocess.check_call(command, shell=True)

    ffmpeg responds with

    File ’upload_sample.wav’ already exists. Overwrite ? [y/N]

    While Python tells me

    FileNotFoundError : [Errno 2] No such file or directory : ’C :\Users\Nathan\Desktop\MeetingRecorderWebAPP\media\recordings\upload_sample.wav’

    It is also worth noting that I do not see a ’upload_sample.wav’ file in the media/recordings/ directory.

    This leads me to believe that maybe Python and ffmpeg are looking in different folders, but I am not sure where I am going wrong. When I print the command from the subprocess.check_call and copy/paste it into cmd, the file is created as expected.

    Hoping someone with some experience with ffmpeg/Python subprocess can help shed some light ! Here are the files I am working with :

    Folder Structure

    DjangoWebApp
    |---media
    |---|---imgs
    |---|---recordings
    |---|---|---upload_sample.MOV
    |---uploaded_audio_to_text.py

    uploaded_audio_to_text.py

    import speech_recognition as sr
    from os import path
    import os
    import subprocess


    def speech_to_text(file_name):
       AUDIO_FILE = path.join(path.dirname(path.realpath(__file__)), 'media','recordings', file_name)
       print("Looking at path: ",AUDIO_FILE)
       # get extension
       AUDIO_FILE_EXT = os.path.splitext(AUDIO_FILE)[1]

       if(AUDIO_FILE_EXT == '.MOV'):
           print("File is not .wav: ", AUDIO_FILE_EXT, "found. Converting...")
           # We will use subprocess and ffmpeg to convert this .MOV file to .wav, so we can send to API
           temp_wav = os.path.splitext(file_name)[0] + '.wav'
           print("New audio file will be: ", temp_wav)
           # build CMD ffmpeg command
           command = "ffmpeg -i "
           command += AUDIO_FILE
           command += " -ab 160k -ac 2 -ar 44100 -vn "
           command += temp_wav

           print("Attempting to run this command: \n",command)
           print(subprocess.check_call(command, shell=True))
           print("Past Subprocess.call")
           AUDIO_FILE = path.join(path.dirname(path.realpath(__file__)), 'media','recordings', temp_wav)
           print("AUDIO_FILE now set to: ", AUDIO_FILE)

       else:
           # continue with what we are doing
           pass


       r = sr.Recognizer()
       with sr.AudioFile(AUDIO_FILE) as source:
           audio = r.record(source)  # read the entire audio file
           text_transcription = "Sentinel"
           # recognize speech using Microsoft Bing Voice Recognition
           BING_KEY = "MY_KEY_:)"
           try:
               text_transcription = r.recognize_bing(audio, key=BING_KEY)
           except sr.UnknownValueError:
               print("Microsoft Bing Voice Recognition could not understand audio")
           except sr.RequestError as e:
               print("Could not request results from Microsoft Bing Voice Recognition service; {0}".format(e))

       return text_transcription


    #my tests
    my_relative_file_path = "upload_sample.MOV"
    print(speech_to_text(my_relative_file_path))

    Console output (traceback and my print()’s)

    Looking at path:  C:\Users\Nathan\Desktop\MeetingRecorderWebAPP\media\recordings\upload_sample.MOV
    File is not .wav:  .MOV found. Converting...
    New audio file will be:  upload_sample.wav Attempting to run this command:
    ffmpeg -i C:\Users\Nathan\Desktop\MeetingRecorderWebAPP\media\recordings\upload_sample.MOV -ab 160k -ac 2 -ar 44100 -vn upload_sample.wav
    ffmpeg version git-2017-12-18-74f408c Copyright (c) 2000-2017 the FFmpeg developers   built with gcc 7.2.0 (GCC)  
    ----REMOVED SOME FFMPEG OUTPUT FOR BREVITY----
    File 'upload_sample.wav' already exists. Overwrite ? [y/N] y
    Stream mapping:   Stream #0:1 -> #0:0 (aac (native) -> pcm_s16le (native)) Press [q] to stop, [?] for help Output #0, wav, to 'upload_sample.wav':   Metadata:
       major_brand     : qt  
       minor_version   : 0
       compatible_brands: qt  
       com.apple.quicktime.creationdate: 2017-12-19T16:06:10-0500
       com.apple.quicktime.make: Apple
       com.apple.quicktime.model: iPhone 6
       com.apple.quicktime.software: 10.3.3
       ISFT            : Lavf58.3.100
       Stream #0:0(und): Audio: pcm_s16le ([1][0][0][0] / 0x0001), 44100 Hz, stereo, s16, 1411 kb/s (default)
       Metadata:
         creation_time   : 2017-12-19T21:06:11.000000Z
         handler_name    : Core Media Data Handler
         encoder         : Lavc58.8.100 pcm_s16le size=    1036kB time=00:00:06.01 bitrate=1411.3kbits/s speed=N/A     video:0kB audio:1036kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.007352%
    0
    Traceback (most recent call last): Past Subprocess.call  
    File "C:\Users\Nathan\Desktop\MeetingRecorderWebAPP\uploaded_audio_to_text.py", line 53, in <module>
    AUDIO_FILE now set to:  C:\Users\Nathan\Desktop\MeetingRecorderWebAPP\media\recordings\upload_sample.wav
       print(speech_to_text(my_relative_file_path))  
    File "C:\Users\Nathan\Desktop\MeetingRecorderWebAPP\uploaded_audio_to_text.py", line 36, in speech_to_text
       with sr.AudioFile(AUDIO_FILE) as source:  
    File "C:\Users\Nathan\AppData\Local\Programs\Python\Python36-32\lib\site-packages\speech_recognition\__init__.py", line 203, in __enter__
       self.audio_reader = wave.open(self.filename_or_fileobject, "rb")  
    File "C:\Users\Nathan\AppData\Local\Programs\Python\Python36-32\lib\wave.py", line 499, in open
       return Wave_read(f)  
    File "C:\Users\Nathan\AppData\Local\Programs\Python\Python36-32\lib\wave.py", line 159, in __init__
       f = builtins.open(f, 'rb')
    FileNotFoundError: [Errno 2] No such file or directory: 'C:\\Users\\Nathan\\Desktop\\MeetingRecorderWebAPP\\media\\recordings\\upload_sample.wav'

    Process finished with exit code 1
    </module>
  • Encode HEVC/H.265/HDR Video for YouTube from 10bit Pro-Res using FFmpeg

    30 janvier 2018, par Rodrigo Polo

    I want to have an HDR YouTube video published, my source file is either an Apple ProRes or DNxHR using a chroma subsamplig 4:4:4 or full RGB, both 10bit, so the original source file has all what is needed in order to be encoded into a 10bit 4:2:0 H.265/HEVC (HDR).

    I have followed some answers listed here, reviewed lots of different approaches, tried out many different commands without success, colors aren’t right when using only FFmpeg, to much red, when using only Adobe to encode into H.264 with the recommended settings on their support page, the results is darker, here are the commands I’ve using :

    I have tried this :

    ffmpeg \
    -i input.mov \
    -c:v libx265 \
    -tag:v hvc1 \
    -crf 21 \
    -preset fast \
    -pix_fmt yuv420p10le \
    -x265-params "colorprim=bt2020:transfer=smpte2084:colormatrix=bt2020nc:master-display=G(13250,34500)B(7500,3000)R(34000,16000)WP(15635,16450)L(10000000,10):max-cll=1000,400" \
    -c:a libfdk_aac \
    -b:a 128k \
    -ac 2 \
    -ar 44100 \
    -movflags +faststart \
    output.mp4

    And this :

    ffmpeg \
    -y \
    -hide_banner \
    -i input.mov \
    -pix_fmt yuv420p10le \
    -vf "scale=out_color_matrix=bt2020:out_h_chr_pos=0:out_v_chr_pos=0,format=yuv420p10" \
    -c:v libx265 \
    -tag:v hvc1 \
    -crf 21 \
    -preset fast \
    -x265-params 'crf=12:colorprim=bt2020:transfer=smpte-st-2084:colormatrix=bt2020nc:master-display="G(13250,34500)B(7500,3000)R(34000,16000)WP(15635,16450)L(10000000,1)":max-cll="1000,400"' \
    -c:a libfdk_aac \
    -b:a 128k \
    -ac 2 \
    -ar 44100 \
    -movflags +faststart \
    output.mp4

    I have also tried using MKVToolNix in order to insert the metadata into the encoded HEVC/H.265 file with the following command :

    /Applications/MKVToolNix-9.7.1.app/Contents/MacOS/mkvmerge \
    -o output.mkv \
    --colour-matrix 0:9 \
    --colour-range 0:1 \
    --colour-transfer-characteristics 0:16 \
    --colour-primaries 0:9 \
    --max-content-light 0:1000 \
    --max-frame-light 0:300 \
    --max-luminance 0:1000 \
    --min-luminance 0:0.01 \
    --chromaticity-coordinates 0:0.68,0.32,0.265,0.690,0.15,0.06 \
    --white-colour-coordinates 0:0.3127,0.3290 \
    input.mp4

    But the result is the same and YouTube don’t recognize the file as an HDR file, it does only with the first FFmpeg command and with the file encoded with Adobe Premiere, but the colors don’t look well, so, maybe I’m getting some concept wrong, thanks for your help.