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Rennes Emotion Map 2010-11
19 octobre 2011, par
Mis à jour : Juillet 2013
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Autres articles (88)
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Des sites réalisés avec MediaSPIP
2 mai 2011, parCette page présente quelques-uns des sites fonctionnant sous MediaSPIP.
Vous pouvez bien entendu ajouter le votre grâce au formulaire en bas de page. -
MediaSPIP Player : problèmes potentiels
22 février 2011, parLe lecteur ne fonctionne pas sur Internet Explorer
Sur Internet Explorer (8 et 7 au moins), le plugin utilise le lecteur Flash flowplayer pour lire vidéos et son. Si le lecteur ne semble pas fonctionner, cela peut venir de la configuration du mod_deflate d’Apache.
Si dans la configuration de ce module Apache vous avez une ligne qui ressemble à la suivante, essayez de la supprimer ou de la commenter pour voir si le lecteur fonctionne correctement : /** * GeSHi (C) 2004 - 2007 Nigel McNie, (...) -
List of compatible distributions
26 avril 2011, parThe table below is the list of Linux distributions compatible with the automated installation script of MediaSPIP. Distribution nameVersion nameVersion number Debian Squeeze 6.x.x Debian Weezy 7.x.x Debian Jessie 8.x.x Ubuntu The Precise Pangolin 12.04 LTS Ubuntu The Trusty Tahr 14.04
If you want to help us improve this list, you can provide us access to a machine whose distribution is not mentioned above or send the necessary fixes to add (...)
Sur d’autres sites (11577)
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How to use audio frame after decode mp3 file using pyav, ffmpeg, python
2 janvier 2021, par Long Tran DaiI am using using python with pyav, ffmpeg to decode mp3 in the memory. I know there are some other way to do it, like pipe ffmpeg command. However, I would like to explore pyav and ffmpeg API. So I have the following code. It works but the sound is very noisy, although hearable :


import numpy as np
import av # to convert mp3 to wav using ffmpeg
import pyaudio # to play music

mp3_path = 'D:/MyProg/python/SauTimThiepHong.mp3'

def decodeStream(mp3_path):
 # Run NOT OK
 
 container = av.open(mp3_path)
 stream = next(s for s in container.streams if s.type == 'audio')
 frame_count = 0
 data = bytearray()
 for packet in container.demux(stream):
 # <class>
 # We need to skip the "flushing" packets that `demux` generates.
 #if frame_count == 5000 : break 
 if packet.dts is None:
 continue
 for frame in packet.decode(): 
 #
 # type(frame) : <class>
 #frame.samples = 1152 : 1152 diem du lieu : Number of audio samples (per channel)
 # moi frame co size = 1152 (diem) * 2 (channels) * 4 (bytes / diem) = 9216 bytes
 # 11021 frames
 #arr = frame.to_ndarray() # arr.nbytes = 9216

 #channels = [] 
 channels = frame.to_ndarray().astype("float16")
 #for plane in frame.planes:
 #channels.append(plane.to_bytes()) #plane has 4 bytes / sample, but audio has only 2 bytes
 # channels.append(np.frombuffer(plane, dtype=np.single).astype("float16"))
 #channels.append(np.frombuffer(plane, dtype=np.single)) # kieu np.single co 4 bytes
 if not frame.is_corrupt:
 #data.extend(np.frombuffer(frame.planes[0], dtype=np.single).astype("float16")) # 1 channel: noisy
 # type(planes) : <class>
 frame_count += 1
 #print( '>>>> %04d' % frame_count, frame) 
 #if frame_count == 5000 : break 
 # mix channels:
 for i in range(frame.samples): 
 for ch in channels: # dec_ctx->channels
 data.extend(ch[i]) #noisy
 #fwrite(frame->data[ch] + data_size*i, 1, data_size, outfile)
 return bytes(data)
</class></class></class>

I use pipe ffmpeg to get decoded data to compare and find they are different :


def RunFFMPEG(mp3_path, target_fs = "44100"):
 # Run OK
 import subprocess
 # init command
 ffmpeg_command = ["ffmpeg", "-i", mp3_path,
 "-ab", "128k", "-acodec", "pcm_s16le", "-ac", "0", "-ar", target_fs, "-map",
 "0:a", "-map_metadata", "-1", "-sn", "-vn", "-y",
 "-f", "wav", "pipe:1"]
 # excute ffmpeg command
 pipe = subprocess.run(ffmpeg_command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, bufsize= 10**8)
 # debug
 #print(pipe.stdout, pipe.stderr)
 # read signal as numpy array and assign sampling rate
 #audio_np = np.frombuffer(buffer=pipe.stdout, dtype=np.uint16, offset=44)
 #audio_np = np.frombuffer(buffer=pipe.stdout, dtype=np.uint16)
 #sig, fs = audio_np, target_fs
 #return audio_np
 return pipe.stdout[78:] 


Then I use pyaudio to play data and find it very noisy


p = pyaudio.PyAudio()
streamOut = p.open(format=pyaudio.paInt16, channels=2, rate= 44100, output=True)
#streamOut = p.open(format=pyaudio.paInt16, channels=1, rate= 44100, output=True)

mydata = decodeStream(mp3_path)
print("bytes of mydata = ", len(mydata))
#print("bytes of mydata = ", mydata.nbytes)

ffMpegdata = RunFFMPEG(mp3_path)
print("bytes of ffMpegdata = ", len(ffMpegdata)) 
#print("bytes of ffMpegdata = ", ffMpegdata.nbytes)

minlen = min(len(mydata), len(ffMpegdata))
print("mydata == ffMpegdata", mydata[:minlen] == ffMpegdata[:minlen]) # ffMpegdata.tobytes()[:minlen] )

#bytes of mydata = 50784768
#bytes of ffMpegdata = 50784768
#mydata == ffMpegdata False

streamOut.write(mydata)
streamOut.write(ffMpegdata)
streamOut.stop_stream()
streamOut.close()
p.terminate()


Please help me to understand decoded frame of pyav api (after for frame in packet.decode() :). Should it be processed more ? or I have some error ?


It makes me crazy for 3 days. I could not guess where to go.


Thank you very much.


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Precise method of segmenting & transcoding video+audio (via ffmpeg), into an on-demand HLS stream ?
17 novembre 2019, par Felixrecently I’ve been messing around with FFMPEG and streams through Nodejs. My ultimate goal is to serve a transcoded video stream - from any input filetype - via HTTP, generated in real-time as it’s needed in segments.
I’m currently attempting to handle this using HLS. I pre-generate a dummy m3u8 manifest using the known duration of the input video. It contains a bunch of URLs that point to individual constant-duration segments. Then, once the client player starts requesting the individual URLs, I use the requested path to determine which time range of video the client needs. Then I transcode the video and stream that segment back to them.
Now for the problem : This approach mostly works, but has a small audio bug. Currently, with most test input files, my code produces a video that - while playable - seems to have a very small (< .25 second) audio skip at the start of each segment.
I think this may be an issue with splitting using time in ffmpeg, where possibly the audio stream cannot be accurately sliced at the exact frame the video is. So far, I’ve been unable to figure out a solution to this problem.
If anybody has any direction they can steer me - or even a prexisting library/server that solves this use-case - I appreciate the guidance. My knowledge of video encoding is fairly limited.
I’ll include an example of my relevant current code below, so others can see where I’m stuck. You should be able to run this as a Nodejs Express server, then point any HLS player at localhost:8080/master to load the manifest and begin playback. See the
transcode.get('/segment/:seg.ts'line at the end, for the relevant transcoding bit.'use strict';
const express = require('express');
const ffmpeg = require('fluent-ffmpeg');
let PORT = 8080;
let HOST = 'localhost';
const transcode = express();
/*
* This file demonstrates an Express-based server, which transcodes & streams a video file.
* All transcoding is handled in memory, in chunks, as needed by the player.
*
* It works by generating a fake manifest file for an HLS stream, at the endpoint "/m3u8".
* This manifest contains links to each "segment" video clip, which browser-side HLS players will load as-needed.
*
* The "/segment/:seg.ts" endpoint is the request destination for each clip,
* and uses FFMpeg to generate each segment on-the-fly, based off which segment is requested.
*/
const pathToMovie = 'C:\\input-file.mp4'; // The input file to stream as HLS.
const segmentDur = 5; // Controls the duration (in seconds) that the file will be chopped into.
const getMetadata = async(file) => {
return new Promise( resolve => {
ffmpeg.ffprobe(file, function(err, metadata) {
console.log(metadata);
resolve(metadata);
});
});
};
// Generate a "master" m3u8 file, which the player should point to:
transcode.get('/master', async(req, res) => {
res.set({"Content-Disposition":"attachment; filename=\"m3u8.m3u8\""});
res.send(`#EXTM3U
#EXT-X-STREAM-INF:BANDWIDTH=150000
/m3u8?num=1
#EXT-X-STREAM-INF:BANDWIDTH=240000
/m3u8?num=2`)
});
// Generate an m3u8 file to emulate a premade video manifest. Guesses segments based off duration.
transcode.get('/m3u8', async(req, res) => {
let met = await getMetadata(pathToMovie);
let duration = met.format.duration;
let out = '#EXTM3U\n' +
'#EXT-X-VERSION:3\n' +
`#EXT-X-TARGETDURATION:${segmentDur}\n` +
'#EXT-X-MEDIA-SEQUENCE:0\n' +
'#EXT-X-PLAYLIST-TYPE:VOD\n';
let splits = Math.max(duration / segmentDur);
for(let i=0; i< splits; i++){
out += `#EXTINF:${segmentDur},\n/segment/${i}.ts\n`;
}
out+='#EXT-X-ENDLIST\n';
res.set({"Content-Disposition":"attachment; filename=\"m3u8.m3u8\""});
res.send(out);
});
// Transcode the input video file into segments, using the given segment number as time offset:
transcode.get('/segment/:seg.ts', async(req, res) => {
const segment = req.params.seg;
const time = segment * segmentDur;
let proc = new ffmpeg({source: pathToMovie})
.seekInput(time)
.duration(segmentDur)
.outputOptions('-preset faster')
.outputOptions('-g 50')
.outputOptions('-profile:v main')
.withAudioCodec('aac')
.outputOptions('-ar 48000')
.withAudioBitrate('155k')
.withVideoBitrate('1000k')
.outputOptions('-c:v h264')
.outputOptions(`-output_ts_offset ${time}`)
.format('mpegts')
.on('error', function(err, st, ste) {
console.log('an error happened:', err, st, ste);
}).on('progress', function(progress) {
console.log(progress);
})
.pipe(res, {end: true});
});
transcode.listen(PORT, HOST);
console.log(`Running on http://${HOST}:${PORT}`); -
How do I download the image with metadata in Python ? [closed]
19 octobre 2024, par Temp AccountI am downloading some images in Python from the Airtable API and am trying to make a slideshow with them using ffmpeg. I download the images :


urllib2.urlretrieve(img['url'], "output/images/image_"+str(i)+".jpeg")


However, when I run the following ffmpeg command


ffmpeg -framerate 4/60 -i output/images/image_%d.jpeg output/out.mp4


I get the following error :


ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers
 built with gcc 13 (Ubuntu 13.2.0-23ubuntu3)
 configuration: --prefix=/usr --extra-version=3ubuntu5 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-l
inux-gnu --arch=amd64 --enable-gpl --disable-stripping --disable-omx --enable-gnutls --enable-libaom --enable-libass --enable-libbs2b --enable
-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribi
di --enable-libglslang --enable-libgme --enable-libgsm --enable-libharfbuzz --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enab
le-libopenmpt --enable-libopus --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libtheo
ra --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libx
vid --enable-libzimg --enable-openal --enable-opencl --enable-opengl --disable-sndio --enable-libvpl --disable-libmfx --enable-libdc1394 --ena
ble-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-ladspa --enable-libbluray --enable-libjack --enable-libpulse --enable-librabbitmq --enable-librist --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libx264 --enable-libzmq --enable-libzvbi --enab
le-lv2 --enable-sdl2 --enable-libplacebo --enable-librav1e --enable-pocketsphinx --enable-librsvg --enable-libjxl --enable-shared
 libavutil 58. 29.100 / 58. 29.100
 libavcodec 60. 31.102 / 60. 31.102
 libavformat 60. 16.100 / 60. 16.100
 libavdevice 60. 3.100 / 60. 3.100
 libavfilter 9. 12.100 / 9. 12.100
 libswscale 7. 5.100 / 7. 5.100
 libswresample 4. 12.100 / 4. 12.100
 libpostproc 57. 3.100 / 57. 3.100
[mjpeg @ 0x593283e5e3c0] bits 150 is invalid
[mjpeg @ 0x593283e5e3c0] bits 28 is invalid
[image2 @ 0x593283e5d380] Could not find codec parameters for stream 0 (Video: mjpeg (Lossless), none(bt470bg/unknown/unknown), lossless): uns
pecified size
Consider increasing the value for the 'analyzeduration' (0) and 'probesize' (5000000) options
Input #0, image2, from 'output/images/image_%d.jpeg':
 Duration: 00:01:00.00, start: 0.000000, bitrate: N/A
 Stream #0:0: Video: mjpeg (Lossless), none(bt470bg/unknown/unknown), lossless, 0.07 fps, 0.07 tbr, 0.07 tbn
File 'output/out.mp4' already exists. Overwrite? [y/N] y
Stream mapping:
 Stream #0:0 -> #0:0 (mjpeg (native) -> h264 (libx264))
Press [q] to stop, [?] for help
[mjpeg @ 0x593283e5f180] mjpeg: unsupported coding type (cf)
[mjpeg @ 0x593283e5f180] mjpeg: unsupported coding type (c8)
[mjpeg @ 0x593283e5f180] bits 150 is invalid
[vist#0:0/mjpeg @ 0x593283e5f000] Error submitting packet to decoder: Invalid data found when processing input
[mjpeg @ 0x593283e5f180] bits 28 is invalid
[vist#0:0/mjpeg @ 0x593283e5f000] Error submitting packet to decoder: Invalid data found when processing input
[mjpeg @ 0x593283e5f180] mjpeg: unsupported coding type (ce)
[mjpeg @ 0x593283e5f180] mjpeg: unsupported coding type (c6)
[mjpeg @ 0x593283e5f180] unable to decode APP fields: Invalid data found when processing input
 Last message repeated 1 times
[vist#0:0/mjpeg @ 0x593283e5f000] Error submitting packet to decoder: Invalid data found when processing input
[mjpeg @ 0x593283e5f180] unable to decode APP fields: Invalid data found when processing input
[mjpeg @ 0x593283e5f180] invalid id 255
[vist#0:0/mjpeg @ 0x593283e5f000] Error submitting packet to decoder: Invalid data found when processing input
Cannot determine format of input stream 0:0 after EOF
Error marking filters as finished
Error while filtering: Invalid data found when processing input
[vist#0:0/mjpeg @ 0x593283e5f000] Decode error rate 1 exceeds maximum 0.666667
[out#0/mp4 @ 0x593283e603c0] Nothing was written into output file, because at least one of its streams received no packets.
frame= 0 fps=0.0 q=0.0 Lsize= 0kB time=N/A bitrate=N/A speed=N/A 
Conversion failed!



However, downloading the images in Chrome then creating the slideshow is successful. The images from Chrome have metadata of the filetype (JPEG), width and height. The images downloaded with Python have no metadata. How do I download that information so that my ffmpeg command will succeed ?


Thanks !


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