Recherche avancée

Sur d’autres sites (6317)

• Upload screenshots to google cloud storage bucket with Fluent-ffmpeg

  2 janvier 2021, par aarpods

  I am currently using multer to upload videos to my google storage bucket, and fluent-ffmpeg to capture thumbnails of the videos. Videos are being uploaded into the buckets correctly, but not the thumbnails from ffmpeg. How can I change the location of the thumbnails to my google storage bucket ?

  


  Back-End Video upload

  


  require ('dotenv').config()
const express = require('express');
const router = express.Router();
const multer = require("multer");
var ffmpeg = require('fluent-ffmpeg');
const multerGoogleStorage = require('multer-google-storage');
const { Video } = require("../models/Video");
const {User} = require("../models/User")
const { auth } = require("../middleware/auth");


var storage = multer({
    destination: function (req, file, cb) {
        cb(null, 'videos/')
    },
    filename: function (req, file, cb) {
        cb(null, `${Date.now()}_${file.originalname}`)
    },
    fileFilter: (req, file, cb) => {
        const ext = path.extname(file.originalname)
        if (ext !== '.mp4' || ext !== '.mov' || ext !== '.m3u' || ext !== '.flv' || ext !== '.avi' || ext !== '.mkv') {
            return cb(res.status(400).end('Error only videos can be uploaded'), false);
        }
        cb(null,true)
    }
})
// Set location to google storage bucket
var upload = multer({ storage: multerGoogleStorage.storageEngine() }).single("file")

router.post("/uploadfiles", (req, res) => {

    upload(req, res, err => {
        if (err) {
            return res.json({sucess: false, err})
        }
        return res.json({ success: true, filePath: res.req.file.path, fileName: res.req.file.filename})
    })
});


  


  Back-end thumbnail upload

  


  router.post("/thumbnail", (req, res) => {

    let thumbsFilePath = "";
    let fileDuration = "";

    ffmpeg.ffprobe(req.body.filePath, function (err, metadata) {
        console.dir(metadata);
        console.log(metadata.format.duration);

        fileDuration = metadata.format.duration;
    })


    ffmpeg(req.body.filePath)
        .on('filenames', function (filenames) {
            console.log('Will generate ' + filenames.join(', '))
            thumbsFilePath = "thumbnails/" + filenames[0];
        })
        .on('end', function () {
            console.log('Screenshots taken');
            return res.json({ success: true, thumbsFilePath: thumbsFilePath, fileDuration: fileDuration })
        })
        //Can this be uploaded to google storage?
        .screenshots({
            // Will take 3 screenshots
            count: 3,
            folder: '/thumbnails/',
            size: '320x240',
            //Names file w/o extension
            filename:'thumbnail-%b.png'
        });
});


  


  Front-end video upload

  


   const onDrop = (files) => {
        let formData = new FormData();
        const config = {
            header: {'content-type': 'multipart/form-data'}
        }
        console.log(files)
        formData.append("file", files[0])

        axios.post('/api/video/uploadfiles', formData, config)
            .then(response => {
                if (response.data.success) {
                    let variable = {
                        filePath: response.data.filePath,
                        fileName: response.data.fileName
                    }
                    setFilePath(response.data.filePath)

                    //Thumbnail
                    axios.post('/api/video/thumbnail', variable)
                        .then(response => {
                            if (response.data.success) {
                                setDuration(response.data.fileDuration)
                                setThumbnail(response.data.thumbsFilePath)
                            } else {
                                alert("Failed to generate a thumbnail");
                            }
                        })

                } else {
                    alert('Failed to save video to the server')
                }
            })
    }


  


• Workflow and data format for sending MediaRecorder output to express server

  30 avril 2021, par Max

  I've been trying to figure this out for a while but got lost between different ways of sending files and different data formats.

  


  I am recording the stream of a canvas animation with MediaRecorder. As far as I understand this returns a blob with the video in binary format. Now I want to send this data to my express server and convert it to an h264 encoded mp4 file. My first impulse was to use ffmpeg on the server. Unfortunately I'm struggling with the details of the implementation. I am unsure on how to best transmit the data and in what format and how to feed it to ffmpeg.

  


  This is what I have on the client side :

  


  // Get stream from element
stream = element.captureStream(30)

// Create media recorder with stream
const recorder = new MediaRecorder(stream)

// Save to file
recorder.ondataavailable = ({ data }) => {
                
    const formData = new FormData()
    formData.append("file", data)

    const options = {
        method: "POST",
        body: formData,
    }

    fetch("http://localhost:3001/api/blob_to_mp4", options).then(
        (res) => {
            console.log(res)
        }
    )
}


  


  And this is what I have on the server side :

  


  "use strict";

const express = require("express");
const cors = require("cors");
const ffmpeg = require("fluent-ffmpeg");
const fs = require("fs");

const port = process.env.PORT || 3001;
const app = express();
var command = ffmpeg();

app.use(cors());
app.use(express.urlencoded({ extended: true }));
app.use(express.json());

app.post("/api/blob_to_mp4", function (req, res) {
  var data = Buffer.from("");

  // Add data
  req.on("data", function (chunk) {
    data = Buffer.concat([data, chunk]);
  });

  // Full data available
  req.on("end", () => {
    req.rawBody = data;
  });

  res.send("hello world");
});

app.listen(port);
console.log(`Server running on port ${port}`);


  


• New VP8 Test Vectors Available

  7 septembre 2010, par noreply@blogger.com (John Luther)

  Our collection of VP8 test vectors has grown from 17 to 56. You can download the complete set from our Downloads page or clone our git repository :

  git clone git ://review.webmproject.org/vp8-test-vectors.git