Recherche avancée
Autres articles (40)
-
Submit bugs and patches
13 avril 2011Unfortunately a software is never perfect.
If you think you have found a bug, report it using our ticket system. Please to help us to fix it by providing the following information : the browser you are using, including the exact version as precise an explanation as possible of the problem if possible, the steps taken resulting in the problem a link to the site / page in question
If you think you have solved the bug, fill in a ticket and attach to it a corrective patch.
You may also (...) -
MediaSPIP v0.2
21 juin 2013, parMediaSPIP 0.2 is the first MediaSPIP stable release.
Its official release date is June 21, 2013 and is announced here.
The zip file provided here only contains the sources of MediaSPIP in its standalone version.
To get a working installation, you must manually install all-software dependencies on the server.
If you want to use this archive for an installation in "farm mode", you will also need to proceed to other manual (...) -
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.
Sur d’autres sites (7137)
-
React Native Expo File System : open failed : ENOENT (No such file or directory)
9 février 2023, par coloradayI'm getting this error in a bare React Native project :


Possible Unhandled Promise Rejection (id: 123):
Error: /data/user/0/com.filsufius.VisionishAItest/files/image-new-♥d.jpg: open failed: ENOENT (No such file or directory)


The same code was saving to File System with no problem yesterday, but today as you can see I am getting an ENOENT error, plus I am getting these funny heart shapes ♥d in the path. Any pointers as to what might be causing this, please ? I use npx expo run:android to builld app locally and expo start —dev-client to run on a physical Android device connected through USB.


import { Image, View, Text, StyleSheet } from "react-native";
import * as FileSystem from "expo-file-system";
import RNFFmpeg from "react-native-ffmpeg";
import * as tf from "@tensorflow/tfjs";
import * as cocossd from "@tensorflow-models/coco-ssd";
import { decodeJpeg, bundleResourceIO } from "@tensorflow/tfjs-react-native";

const Record = () => {
 const [frames, setFrames] = useState([]);
 const [currentFrame, setCurrentFrame] = useState(0);
 const [model, setModel] = useState(null);
 const [detections, setDetections] = useState([]);

 useEffect(() => {
 const fileName = "image-new-%03d.jpg";
 const outputPath = FileSystem.documentDirectory + fileName;
 RNFFmpeg.execute(
 "-y -i https://res.cloudinary.com/dannykeane/video/upload/sp_full_hd/q_80:qmax_90,ac_none/v1/dk-memoji-dark.m3u8 -vf fps=25 -f mjpeg " +
 outputPath
 )
 .then((result) => {
 console.log("Extraction succeeded:", result);
 FileSystem.readDirectoryAsync(FileSystem.documentDirectory).then(
 (files) => {
 setFrames(
 files
 .filter((file) => file.endsWith(".jpg"))
 .sort((a, b) => {
 const aNum = parseInt(a.split("-")[2].split(".")[0]);
 const bNum = parseInt(b.split("-")[2].split(".")[0]);
 return aNum - bNum;
 })
 );
 }
 );
 })
 .catch((error) => {
 console.error("Extraction failed:", error);
 });
 }, []);

 useEffect(() => {
 tf.ready().then(() => cocossd.load().then((model) => setModel(model)));
 }, []);
 useEffect(() => {
 if (frames.length && model) {
 const intervalId = setInterval(async () => {
 setCurrentFrame((currentFrame) =>
 currentFrame === frames.length - 1 ? 0 : currentFrame + 1
 );
 const path = FileSystem.documentDirectory + frames[currentFrame];
 const imageAssetPath = await FileSystem.readAsStringAsync(path, {
 encoding: FileSystem.EncodingType.Base64,
 });
 const imgBuffer = tf.util.encodeString(imageAssetPath, "base64").buffer;
 const imageData = new Uint8Array(imgBuffer);
 const imageTensor = decodeJpeg(imageData, 3);
 console.log("after decodeJpeg.");
 const detections = await model.detect(imageTensor);
 console.log(detections);
 setDetections(detections);
 }, 100);
 return () => clearInterval(intervalId);
 }
 }, [frames, model]);

 
 return (
 <view style="{styles.container}">
 
 <view style="{styles.predictions}">
 {detections.map((p, i) => (
 <text key="{i}" style="{styles.text}">
 {p.class}: {(p.score * 100).toFixed(2)}%
 </text>
 ))}
 </view>
 </view>
 );
};

const styles = StyleSheet.create({
 container: {
 flex: 1,
 alignItems: "center",
 justifyContent: "center",
 },
 image: {
 width: 300,
 height: 300,
 resizeMode: "contain",
 },
 predictions: {
 width: 300,
 height: 100,
 marginTop: 20,
 },
 text: {
 fontSize: 14,
 textAlign: "center",
 },
});

export default Record;```


-
Tweaking FFMPEG Stream For Games For Open Source Projech
12 novembre 2022, par Devin DixonRight now I am using FFMPEG to record and broadcast video games on a open source projected call Glitch : https://www.glitch.fun/


The problem is the streams are a little but choppy and pixelated. Here is an example video recording :




The FFMPEG command I am currently for getting the stream from a source and sending it to a recording file and to destinations is as follows :


ffmpeg [some_input_source] -vf scale=1920x1080 -pix_fmt yuv420p -r 60 -b:v 4000k -maxrate 4000k -bufsize 4500k -vcodec libx264 -preset veryfast -keyint_min 24 -level 3.0 -s 1920:h=1080 -g 40 -x264opts no-scenecut -strict experimental -f [output_location]


What can I tweak in here to improve the quality of streaming for games ?


-
FFMPEG : Multicast packets incoming, but input stream does not open
2 septembre 2022, par oldslowI have a weird problem with ffmpeg and I was wondering if someone might know what's going on.


We have transcoding clusters outputting video to a multicast network. In some computers of the same network, I'm able to open these streams with a command like :


ffplay -i "udp://239.{mutlticast address}:10001?localaddr={Local adapter IP which receives packets}" -nodisp -loglevel trace

But in other computers it does not work. Particularly in a server running Centos 7 I just get :


[NULL @ 0x7fc9a4000920] Opening 'udp://239.xxx.xxx.xxx:10001?localaddr=xxx.xxx.xxx.xxx' for reading
[udp @ 0x7fc9a40012a0] No default whitelist set 
[udp @ 0x7fc9a40012a0] end receive buffer size reported is 131072
nan : 0.000 fd= 0 aq= 0KB vq= 0KB sq= 0B f=0/0


I was thinking it might be a network problem. I started Wireshark to see if the packets were coming in and the thing is, they are ! As soon as I start FFMpeg/FFplay, the MPEG TS packets start coming in, but still FFMpeg won't open the stream :


1067 1.897872161 192.168.194.92 -> 239.193.2.221 MPEG TS 1358 Source port: 51718 Destination port: scp-config
1068 1.898576050 192.168.194.92 -> 239.193.2.221 MPEG TS 1358 Source port: 40892 Destination port: documentum-s[Malformed Packet]
1069 1.900472740 192.168.194.92 -> 239.193.2.221 MPEG TS 1358 Source port: 37505 Destination port: documentum
1070 1.901850051 192.168.194.92 -> PTS 30268.882311111 MPEG TS 1358 video-stream
1071 1.903688205 192.168.194.92 -> 239.193.2.221 MPEG TS 1358 NULL packet
1072 1.905842200 192.168.194.92 -> 239.193.2.221 MPEG TS 1358 Source port: 51718 Destination port: scp-config
1073 1.906249539 192.168.194.92 -> 239.193.2.221 MPEG TS 1358 NULL packet
1074 1.909831587 192.168.194.92 -> 239.193.2.221 MPEG TS 1358 Source port: 51718 Destination port: scp-config
1075 1.911357251 192.168.194.92 -> 239.193.2.221 MPEG TS 1358 NULL packet
1076 1.912000106 192.168.194.92 -> 239.193.2.221 MPEG TS 1358 NULL packet
1077 1.913819520 192.168.194.92 -> 239.193.2.221 MPEG TS 1358 NULL packet
1078 1.917778444 192.168.194.92 -> 239.193.2.221 MPEG TS 1358 Source port: 37505 Destination port: documentum
1079 1.917802429 192.168.194.92 -> 239.193.2.221 MPEG TS 1358 NULL packet
1080 1.920473981 192.168.194.92 -> 239.193.2.221 MPEG TS 1358 NULL packet


Anyone have any idea what can I do to fix this ?
Thanks a lot !


Syndiquer tout le site
