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• How to use ffmpeg to convert video into the audio format with nodejs and angular in web app

  31 août 2021, par Amir Shahzad

  I want to convert the video into the audio format using ffmpeg in nodejs but I not know how I can implement it in the angular app with nodejs.

  


  This is my nodejs code

  


    const express = require('express');
  const ffmpeg  = require('fluent-ffmpeg');
  const fileUpload = require('express-fileupload');
  const cors   = require('cors')
  const app = express();

  app.use(fileUpload({
     useTempFiles: true,
     tempFileDir: 'temp/'
  }));
  app.use(express.json());
  app.use(express.urlencoded({ extended: true }));
  app.use(cors({ origin: 'http://localhost:4200' }));

  ffmpeg.setFfmpegPath('/usr/bin/ffmpeg');

  // Converting mp4 to audio
  app.post('/mp4tomp3', (req, res) => {
     res.contentType('video/avi');
     res.attachment('output.mp3');
     req.files.mp4.mv("temp/" + req.files.mp4.name , function(err) {
      if(err){
        res.sendStatus(500).send(err)
    }else{
        console.log("Fiel Uploaded Successfully.!");
    }
   });
     ffmpeg('temp/' + req.files.mp4.name)
       .toFormat('mp3')
       .on('end', function() {
            console.log('Done');
    })
   .on('error', function(err){
         console.log('An Error Occured' + err.message)
    })
    .pipe(res, {end: true})
  })

  app.listen(3000, () => {
    console.log('Server Start On Port 3000')
  })


  


  This code is working good when I use index.html file in the nodejs app but its give an error while I remove index.html file and use angular app for frontend then it give error in nodejs mp4 not defined and name mv is not defined Please tell me how I can implement it using angular framework

  


  This is my app.component.html file

  


     <div class="container">&#xA;     <h1>Video Proccessing App</h1>&#xA;     <form>&#xA;        <input type="file" formcontrolname="mp4" />&#xA;         <input type="submit" value="Convert" />&#xA;     </form>&#xA;  </div>&#xA;  &#xA;

  


  This is my app.component.ts file

  


       import { Component, OnInit } from '@angular/core';
     import { FormBuilder, FormGroup, Validators } from '@angular/forms';
     import { VideoConversionService } from 'src/services/video-conversion.service';

     @Component({
        selector: 'app-root',
        templateUrl: './app.component.html',
        styleUrls: ['./app.component.css']
     })
     export class AppComponent implements OnInit {

         submitted =false;
         form! : FormGroup
         data:any


        constructor(private formBuilder: FormBuilder,
        private videoService: VideoConversionService){}


       creatForm(){
          this.form = this.formBuilder.group({
          mp4: ['', Validators.required],
       });
      }
      ngOnInit(): void {
         this.creatForm();

      }


      convertVideo(){
          this.submitted = true
          this.videoService.conversion(this.form.value).subscribe(res => {
          this.data = res;
         // console.log(this.data)
         //console.log(this.form.value)
     })
     }

     }


  


  This is my service file for handling the backend api in my angular app

  


  import { Injectable } from '@angular/core';
import { HttpClient  } from '@angular/common/http';
@Injectable({
  providedIn: 'root'
})
export class VideoConversionService {

constructor(private httpClient: HttpClient) { }

conversion(data: any){
   return this.httpClient.post('http://localhost:3000/mp4tomp3', data)
}
}


  


  This is Screenshot of chrome error

  


  

  


  This is the screenshot of the nodejs app error while I click on the convert button

  


  

  


• ffmpeg Hardware acceleration (hw accel) has poor performance on Hololens 1

  12 avril 2021, par Dimitris

  I am building a library in C++ (dll) for decoding video h264 format. The problem is that on CPU is faster than GPU (hw accel).

  


  In the CPU, the execution time is about 1200 micro secs and the total time on dll is 2600 micro.

  


  In the GPU, the execution time is less, about 200 micro secs but transfer from GPU to CPU (RAM) has extra time, about 1100-1300 micro secs and the total time is 4200 micro. I am using the d3d11va/cuda hw accel device. That's all is not a problem on a PC, but I need the dll for the Hololens app (with poor performance) and I need to decode video on 30 fps in 1080p.

  


  My code is based on this tutorial from ffmpeg github repository.

  


  Do you have any suggestions on how to avoid the command av_hwframe_transfer_data(sw_frame, frame, 0) cause the bottleneck in the Hololens is about the transfer from GPU to CPU ?

  


  Thank you

  


• Python Docker SDK long command to container [duplicate]

  2 avril 2021, par Neil Bernard

  I need to send a fairly long command using python docker SDK

  


  ffmpeg -f lavfi -re -i smptebars=duration=60:size=1280x720:rate=30 -f lavfi -re -i sine=frequency=1000:duration=60:sample_rate=44100 -pix_fmt yuv420p -c:v libx264 -b:v 1000k -g 30 -keyint_min 120 -profile:v baseline -preset veryfast -f mpegts "srt://127.0.0.1:4200?pkt_size=1316"


  


  I have an example where you ned to wrap each element in double quotes.

  


  container1 = client.containers.run("alpine", ["echo", "hello", "world"],name='autotest', detach=True)


  


  2 Questions

  


  Is there an elegant way to do this ?
If not how do I handle the bits that already have quotes ?