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Stereo master soundtrack
17 octobre 2011, par
Mis à jour : Octobre 2011
Langue : English
Type : Audio
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#7 Ambience
16 octobre 2011, par
Mis à jour : Juin 2015
Langue : English
Type : Audio
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#6 Teaser Music
16 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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#5 End Title
16 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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#3 The Safest Place
16 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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#4 Emo Creates
15 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
Autres articles (51)
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La file d’attente de SPIPmotion
28 novembre 2010, parUne file d’attente stockée dans la base de donnée
Lors de son installation, SPIPmotion crée une nouvelle table dans la base de donnée intitulée spip_spipmotion_attentes.
Cette nouvelle table est constituée des champs suivants : id_spipmotion_attente, l’identifiant numérique unique de la tâche à traiter ; id_document, l’identifiant numérique du document original à encoder ; id_objet l’identifiant unique de l’objet auquel le document encodé devra être attaché automatiquement ; objet, le type d’objet auquel (...) -
Contribute to documentation
13 avril 2011Documentation is vital to the development of improved technical capabilities.
MediaSPIP welcomes documentation by users as well as developers - including : critique of existing features and functions articles contributed by developers, administrators, content producers and editors screenshots to illustrate the above translations of existing documentation into other languages
To contribute, register to the project users’ mailing (...) -
Selection of projects using MediaSPIP
2 mai 2011, parThe examples below are representative elements of MediaSPIP specific uses for specific projects.
MediaSPIP farm @ Infini
The non profit organizationInfini develops hospitality activities, internet access point, training, realizing innovative projects in the field of information and communication technologies and Communication, and hosting of websites. It plays a unique and prominent role in the Brest (France) area, at the national level, among the half-dozen such association. Its members (...)
Sur d’autres sites (6720)
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-12909 error decoding h264 stream with intra-refresh
2 juillet 2024, par ciclopezI'm making an iOS app that decodes an h264 stream using video-toolbox. I create the stream with ffmpeg on a PC and send it to an iPhone using RTP. It's working nicely when I use this command to create it :



ffmpeg -y -f:v rawvideo -c:v rawvideo -s 1280x720 -pix_fmt bgra -r 30 -an -i - -pix_fmt yuv420p -c:v libx264 -tune zerolatency -preset fast -b:v 5M -refs 1 -g 30 -profile:v high -level 4.1 -f rtp rtp://192.168.1.100:5678




The iPhone receives and displays all the frames. However, when I enable intra-refresh



-intra-refresh 1




decoding fails with error code
-12909
(-8969
on simulator) whenVTDecompressionSessionDecodeFrame()
is called.


I take care of processing UDP packets to extract NAL Units, so I triple checked this process and discarded a problem with this part of the code.



I didn't find any info about Video-toolbox not supporting intra-refresh, so the question is, does Video-toolbox support intra-refresh ? and if it does, am I missing something in the ffmpeg side that makes the stream not supported by Video-toolbox ?
Do I have to add something to the
CMVideoFormatDescriptionRef
apart from creating it with SPS and PPS data usingCMVideoFormatDescriptionCreateFromH264ParameterSets()
?

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FFMPEG command from Python 3.5 does not actually create audio file
20 décembre 2017, par Nathan BlaineI 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.pyuploaded_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> -
FFmpeg - selecting appropriate bitrate for VP9 encoding
11 janvier 2018, par fastilyI am looking to encode a 4k video shot with iPhone 6s in VP9 in the best quality possible.
For reference, stream data of the video I would like to encode, via
ffprobe
:Duration: 00:00:10.48, start: 0.000000, bitrate: 46047 kb/s
Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(tv, bt709), 3840x2160, 45959 kb/s, 29.98 fps, 29.97 tbr, 600 tbn, 1200 tbc (default)
Metadata:
creation_time : 2017-03-13T21:12:56.000000Z
handler_name : Core Media Data Handler
encoder : H.264
Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, mono, fltp, 79 kb/s (default)
Metadata:
creation_time : 2017-03-13T21:12:56.000000Z
handler_name : Core Media Data HandlerI am using the following FFmpeg commands, based on these instructions (see
Best Quality (Slowest) Recommended Settings
section).ffmpeg -i INPUT.mov -c:v libvpx-vp9 -pass 1 -b:v 46000K -threads 4 -speed 4 -g 9999 -an -f webm -y /dev/null
ffmpeg -I INPUT.mov -c:v libvpx-vp9 -pass 2 -b:v 46000K -threads 4 -speed 0 -g 9999 -an -f webm OUTPUT.webm
Is there a best practice to select an optimal
-b:v
value such that the resulting video is visually indistinguishable from the original ? I have tried values ranging from 36000K-46000K, but these result in massive files with an overall bitrate exceeding the target bitrate.Thanks in advance !