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The Great Big Beautiful Tomorrow
28 octobre 2011, par
Mis à jour : Octobre 2011
Langue : English
Type : Texte
Autres articles (70)
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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 (...) -
Publier sur MédiaSpip
13 juin 2013Puis-je poster des contenus à partir d’une tablette Ipad ?
Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir -
Les formats acceptés
28 janvier 2010, parLes commandes suivantes permettent d’avoir des informations sur les formats et codecs gérés par l’installation local de ffmpeg :
ffmpeg -codecs ffmpeg -formats
Les format videos acceptés en entrée
Cette liste est non exhaustive, elle met en exergue les principaux formats utilisés : h264 : H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10 m4v : raw MPEG-4 video format flv : Flash Video (FLV) / Sorenson Spark / Sorenson H.263 Theora wmv :
Les formats vidéos de sortie possibles
Dans un premier temps on (...)
Sur d’autres sites (8294)
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FFMPEG documentation example for chromakey doesn't work for green background png file
15 septembre 2021, par JPMIm new in FFMPEG and I try to make just simple green background chroma keying of png images.
In FFMPEG documentation in 38.16 Chromakey - there is an example script :



ffmpeg -i input.png -vf chromakey=green out.png



for which is said that "Make every green pixel in the input image transparent"
That exactly what i wanted.
I tried with many different png images but the result is always a copy of input image.
Also i replaced the word "green" to 0x00FF00 or 0x008000 and still no successes. Only when replacing green to black and then the result is as expected - transparent.
Im working on Windows with pre-build binaries of FFMpeg.
What am I missing ?
Thanks.


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SOLVED - FFMPEG 'Fontconfig error : Cannot load default config file' error Windows
27 février 2019, par MerelI am trying to make a short video in FFMPEG, where a word stays on screen for the duration of the video (0.5s). My FFMPEG code looks like this :
ffmpeg -f lavfi -i color=c=white:s=320x240:d=0.5 -vf "drawtext=fontfile= ‘c\:\Windows\fonts\calibri.ttf':fontsize=18: fontcolor=black:x=(w-text_w)/2:y=(h-text_h)/2:text='word'" output.mp4However, I keep getting the following error (see below for full output) :
Fontconfig error: Cannot load default config file
[Parsed_drawtext_0 @ 000001c2918cef00] Using "C:/Windows/fonts/mingliub.ttc"I figured it had something to do with the path to the font file. I also tried copying the font file to my FFMPEG map and map the font path to the FFMPEG directory :
ffmpeg -f lavfi -i color=c=white:s=320x240:d=0.5 -vf
"drawtext=fontfile=‘C:\FFMPEG\bin\calibri.ttf':fontsize=18:
fontcolor=black:x=(w-text_w)/2:y=(h-text_h)/2:text='word'" output.mp4'This doesn’t work either. I do get an output video.mp4 video, but the font is wrong. Here is the full output I get. It is the same for both code examples above :
c:\FFMPEG\bin>ffmpeg -f lavfi -i color=c=white:s=320x240:d=0.5 -vf "drawtext=fontfile= ‘c\\:\\\Windows\\\fonts\\\calibri.ttf':fontsize=18: fontcolor=black:x=(w-text_w)/2:y=(h-text_h)/2:text='word'" output.mp4
ffmpeg version N-93234-g2e67f751b5 Copyright (c) 2000-2019 the FFmpeg developers
built with gcc 8.2.1 (GCC) 20190212
configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-amf --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt
libavutil 56. 26.100 / 56. 26.100
libavcodec 58. 47.102 / 58. 47.102
libavformat 58. 26.101 / 58. 26.101
libavdevice 58. 6.101 / 58. 6.101
libavfilter 7. 48.100 / 7. 48.100
libswscale 5. 4.100 / 5. 4.100
libswresample 3. 4.100 / 3. 4.100
libpostproc 55. 4.100 / 55. 4.100
Input #0, lavfi, from 'color=c=white:s=320x240:d=0.5':
Duration: N/A, start: 0.000000, bitrate: N/A
Stream #0:0: Video: rawvideo (I420 / 0x30323449), yuv420p, 320x240 [SAR 1:1 DAR 4:3], 25 tbr, 25 tbn, 25 tbc
Stream mapping:
Stream #0:0 -> #0:0 (rawvideo (native) -> h264 (libx264))
Press [q] to stop, [?] for help
Fontconfig error: Cannot load default config file
[Parsed_drawtext_0 @ 00000291ad7def00] Using "C:/Windows/fonts/mingliub.ttc"
[libx264 @ 00000291af0ef180] using SAR=1/1
[libx264 @ 00000291af0ef180] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
[libx264 @ 00000291af0ef180] profile High, level 1.3, 4:2:0, 8-bit
[libx264 @ 00000291af0ef180] 264 - core 157 r2935 545de2f - H.264/MPEG-4 AVC codec - Copyleft 2003-2018 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=6 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
Output #0, mp4, to 'output.mp4':
Metadata:
encoder : Lavf58.26.101
Stream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuv420p, 320x240 [SAR 1:1 DAR 4:3], q=-1--1, 25 fps, 12800 tbn, 25 tbc
Metadata:
encoder : Lavc58.47.102 libx264
Side data:
cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
[Parsed_color_0 @ 00000291af0aa840] EOF timestamp not reliable
frame= 13 fps=0.0 q=-1.0 Lsize= 2kB time=00:00:00.40 bitrate= 43.9kbits/s speed=4.27x
video:1kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 84.991570%
[libx264 @ 00000291af0ef180] frame I:1 Avg QP: 9.22 size: 306
[libx264 @ 00000291af0ef180] frame P:3 Avg QP:11.33 size: 20
[libx264 @ 00000291af0ef180] frame B:9 Avg QP:12.67 size: 14
[libx264 @ 00000291af0ef180] consecutive B-frames: 7.7% 0.0% 0.0% 92.3%
[libx264 @ 00000291af0ef180] mb I I16..4: 98.7% 0.0% 1.3%
[libx264 @ 00000291af0ef180] mb P I16..4: 0.0% 0.0% 0.0% P16..4: 0.0% 0.0% 0.0% 0.0% 0.0% skip:100.0%
[libx264 @ 00000291af0ef180] mb B I16..4: 0.0% 0.0% 0.0% B16..8: 0.0% 0.0% 0.0% direct: 0.0% skip:100.0%
[libx264 @ 00000291af0ef180] 8x8 transform intra:0.0%
[libx264 @ 00000291af0ef180] coded y,uvDC,uvAC intra: 1.0% 0.0% 0.0% inter: 0.0% 0.0% 0.0%
[libx264 @ 00000291af0ef180] i16 v,h,dc,p: 92% 1% 7% 0%
[libx264 @ 00000291af0ef180] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 39% 3% 42% 2% 5% 5% 2% 2% 2%
[libx264 @ 00000291af0ef180] i8c dc,h,v,p: 100% 0% 0% 0%
[libx264 @ 00000291af0ef180] Weighted P-Frames: Y:0.0% UV:0.0%
[libx264 @ 00000291af0ef180] kb/s:7.65SOLVED ! Apparently the problem was that the path to the font cannot contain a semicolon (i.e., "C :/". The code that worked is :
ffmpeg -f lavfi -i color=c=white:s=320x240:d=0.5 -vf “drawtext=fontfile= /Windows/fonts/calibri.ttf:fontsize=18: fontcolor=black:x=(w-text_w)/2:y=(h-text_h)/2:text=word” output.mp4 -
Is there a way to program the (Download) button to save a group of images as a one video ?
9 février 2024, par Lina Al-fawzanThis is my entire code. Its function is that everything the user writes or says will have images returned to him according to what he wrote/said, and the next image will be shown to him after he presses “close,” and he can save each image separately. I want to make a simple modification to it. First, instead of a close button, I want each image to be displayed for 3 seconds and the next one to be displayed, and so on... “all of them in one window”, and for the “download” button to be when the last image is displayed, and for them all to be saved in one video.


import 'package:flutter/material.dart';
import 'package:flutter/services.dart' show rootBundle;
import 'dart:convert';
import 'dart:typed_data';
import 'package:image_gallery_saver/image_gallery_saver.dart';
import 'package:speech_to_text/speech_to_text.dart' as stt;

void main() {
 runApp(MyApp());
}

class MyApp extends StatelessWidget {
 @override
 Widget build(BuildContext context) {
 return MaterialApp(
 home: MyHomePage(),
 );
 }
}

class MyHomePage extends StatefulWidget {
 @override
 _MyHomePageState createState() => _MyHomePageState();
}

class _MyHomePageState extends State<myhomepage> {
 TextEditingController _textEditingController = TextEditingController();
 late stt.SpeechToText _speech;
 bool _isListening = false;

 @override
 void initState() {
 super.initState();
 _speech = stt.SpeechToText();
 }

 void _listen() async {
 if (!_isListening) {
 bool available = await _speech.initialize(
 onStatus: (val) => print('onStatus: $val'),
 onError: (val) => print('onError: $val'),
 );
 if (available) {
 setState(() => _isListening = true);
 _speech.listen(
 onResult: (val) => setState(() {
 _textEditingController.text = val.recognizedWords;
 if (val.hasConfidenceRating && val.confidence > 0) {
 _showImages(val.recognizedWords);
 }
 }),
 );
 }
 } else {
 setState(() => _isListening = false);
 _speech.stop();
 }
 }

 @override
 Widget build(BuildContext context) {
 return Scaffold(
 appBar: AppBar(
 title: Text('Image Viewer'),
 ),
 body: Padding(
 padding: const EdgeInsets.all(16.0),
 child: Column(
 mainAxisAlignment: MainAxisAlignment.center,
 children: [
 TextField(
 controller: _textEditingController,
 decoration: const InputDecoration(
 labelText: 'Enter a word',
 ),
 ),
 SizedBox(height: 16.0),
 ElevatedButton(
 onPressed: () {
 String userInput = _textEditingController.text;
 _showImages(userInput);
 },
 child: Text('Show Images'),
 ),
 SizedBox(height: 16.0),
 ElevatedButton(
 onPressed: _listen,
 child: Text(_isListening ? 'Stop Listening' : 'Start Listening'),
 ),
 ],
 ),
 ),
 );
 }

Future<void> _showImages(String userInput) async {
 String directoryPath = 'assets/output_images/';
 print("User Input: $userInput");
 print("Directory Path: $directoryPath");

 List<string> assetFiles = await rootBundle
 .loadString('AssetManifest.json')
 .then((String manifestContent) {
 final Map manifestMap = json.decode(manifestContent);
 return manifestMap.keys
 .where((String key) => key.startsWith(directoryPath))
 .toList();
 });

 List<string> imageFiles = assetFiles.where((String assetPath) =>
 assetPath.toLowerCase().endsWith('.jpg') ||
 assetPath.toLowerCase().endsWith('.gif')).toList();

 List<string> words = userInput.split(' '); // Tokenize the sentence into words

 for (String word in words) {
 String wordImagePath = '$directoryPath$word.gif';

 if (imageFiles.contains(wordImagePath)) {
 await _showDialogWithImage(wordImagePath);
 } else {
 for (int i = 0; i < word.length; i++) {
 String letter = word[i];
 String letterImagePath = imageFiles.firstWhere(
 (assetPath) => assetPath.toLowerCase().endsWith('$letter.jpg'),
 orElse: () => '',
 );
 if (letterImagePath.isNotEmpty) {
 await _showDialogWithImage(letterImagePath);
 } else {
 print('No image found for $letter');
 }
 }
 }
 }
}

 

 Future<void> _showDialogWithImage(String imagePath) async {
 await showDialog<void>(
 context: context,
 builder: (BuildContext context) {
 return AlertDialog(
 content: Image.asset(imagePath),
 actions: [
 TextButton(
 onPressed: () {
 Navigator.of(context).pop();
 },
 child: Text('Close'),
 ),
 TextButton(
 onPressed: () async {
 await _downloadImage(imagePath);
 Navigator.of(context).pop();
 },
 child: Text('Download'),
 ),
 ],
 );
 },
 );
 }

 Future<void> _downloadImage(String assetPath) async {
 try {
 final ByteData data = await rootBundle.load(assetPath);
 final List<int> bytes = data.buffer.asUint8List();

 final result = await ImageGallerySaver.saveImage(Uint8List.fromList(bytes));

 if (result != null) {
 ScaffoldMessenger.of(context).showSnackBar(
 SnackBar(
 content: Text('Image saved to gallery.'),
 ),
 );
 } else {
 ScaffoldMessenger.of(context).showSnackBar(
 SnackBar(
 content: Text('Failed to save image to gallery.'),
 ),
 );
 }
 } catch (e) {
 print('Error downloading image: $e');
 }
 }
}

</int></void></void></void></string></string></string></void></myhomepage>

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