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• How do I download the image with metadata in Python ? [closed]

  19 octobre 2024, par Temp Account

  I 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 !

  


• Precise method of segmenting & transcoding video+audio (via ffmpeg), into an on-demand HLS stream ?

  17 novembre 2019, par Felix

  recently 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}`);

• Anomalie #4495 (Nouveau) : migration 3.2.7 vers 3.3.0

  24 mai 2020, par josiane aletto

  test 1-
  j’ai installée en local un site qui était en SPIP 3.2.7 [24473] pour le migrer en SPIP 3.3.0-dev [24578].
  fichier mesoptions.php avec
  

  <span class="CodeRay"><span class="predefined">define</span>(<span class="string"><span class="delimiter">'</span><span class="content">_IMG_MAX_HEIGHT</span><span class="delimiter">'</span></span>,<span class="integer">1200</span>); <span class="comment">// largeur en pixels</span>
  <span class="predefined">define</span>(<span class="string"><span class="delimiter">'</span><span class="content">_IMG_MAX_WIDTH</span><span class="delimiter">'</span></span>, <span class="integer">1024</span>);  <span class="comment">// hauteur en pixels</span>
  <span class="predefined">define</span>(<span class="string"><span class="delimiter">'</span><span class="content">_IMG_MAX_SIZE</span><span class="delimiter">'</span></span>,  <span class="integer">650</span>);   <span class="comment">// taille en kilo-octets</span>
  </span>
  Télécharger

  
  Des logos de taille superieure a _IMG_MAX_SIZE’, 650 ne sont plus dans IMG Pas non plus dans logo_erreur non plus.
  par exemple rubon3 : 1630 × 648 pixels
  Plugins :
  Adaptive Images 1.9.2 -
  Agenda 3.26.0 -
  API de vérification 1.8.1 - stable
  Centre image 0.10.4 - dev
  Couleur de rubrique 2.3.8
  Facteur 3.6.2 - stable
  Formidable 3.34.3 - stable
  Insérer Modèles 1.3.3 - stable
  Massicot 0.8.1 -
  Mini Calendrier 2.4.1 - stable
  oEmbed 2.0.10 - stable
  Owl Carousel 1.0.18
  Carousel responsive avec support du multi-touch.
  Palette 4.0.7
  pdf.js 0.6.3
  Picto mod avec FontAwesome 2.1.0
  Saisies pour formulaires 3.11.1
  SPIP Bonux 3.4.6
  YAML 2.0.10
  test2
  Pour mieux voir J’ai recommencé installation /migration en désinstallant le plugin massicot et en le supprimant du repertoire plugin et en mettant dans mes_options.php
  define(’_IMG_MAX_HEIGHT’,800) ; // largeur en pixels
  define(’_IMG_MAX_WIDTH’, 500) ; // hauteur en pixels
  define(’_IMG_MAX_SIZE’, 400) ; // taille en kilo-octets

  je constate ; que les logos de taille >400Ko sont présent mais retaillé, rubon3 qui avait 1630 × 648 pixels a maintenant à 500 × 199 pixels 221 ko dans logo/IMG alors qu’il n’ y a pas massicot.
  si je supprime ce rubon3 par logo de la rubrique et télécharge l’image originale j’obtiens une image retaillé avec du noir en plus. mais si je clique dessus l’image est retaillée mais ok et elle est bien en 500*199 dans IMG sans le noir.

  • les images migrées ont bien gardées leurs dimensions*.

  test3
  je telecharge le logo rubon3 de 1630 × 648 pixels comme un document d’un article —> il est enregistré directement en 500 × 199 pixels 221 ko . Ce mécanisme a changé, en mieux, car dans la version 3.2 j’avais un message "Les images doivent obligatoirement faire moins de 650 ko (ce fichier fait 847.5 ko)".