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• PiCamera stream to youtube with ffmpeg and capture image every second

  9 octobre 2020, par MisterGray

  I'm sending a livestream with a Python script on a Raspberry Pi 4 to Youtube with ffmpeg.

  


  Additionally I want to check the stream for movements. Therefore I want to compare two frames with each other. Since this is relatively computationally intensive, I wanted to limit myself to "only" compare single frames every second.

  


  The camera.capture() command, however, seems to take very long, so the stream hangs again and again.

  


  What is the best way to get a raw frame during the stream ?

  


  Is there a better alternative to detect movements while creating a stream with ffmpeg ?

  


  #!/usr/bin/env python3
import subprocess
from picamera.array import PiRGBArray
from picamera import PiCamera
import time
import cv2
import numpy as np

YOUTUBE = 'rtmp://a.rtmp.youtube.com/live2/'
KEY = 'MyYoutubeKey'
stream_cmd = 'ffmpeg -re -ar 44100 -ac 2 -acodec pcm_s16le -f s16le -ac 2 -i /dev/zero -f h264 -i - -vcodec copy -acodec aac -ab 128k -g 50 -strict experimental -f flv ' + YOUTUBE + KEY

avg = None
stream_pipe = subprocess.Popen(stream_cmd, shell=True, stdin=subprocess.PIPE)
resolution = (1280,720)
with PiCamera(resolution = resolution) as camera:

    rawCapture = PiRGBArray(camera, size = resolution)

    camera.framerate = 25
    camera.vflip = True
    camera.hflip = True
    camera.start_recording(stream_pipe.stdin, format='h264', bitrate = 6000000)
    while True:
        camera.wait_recording(1)

        # this command takes a long time to finish
        frame = camera.capture(stream_pipe.stdin, 'rgb')

        """
        further calculations
        """

        rawCapture.truncate(0)

    camera.stop_recording()
    stream_pipe.stdin.close()
    stream_pipe.wait()


  


• convert a normal video to youtube short

  28 mai 2022, par Un1xCr3w

  hello i have videos with width of 1920px and height of 1080 and i wanna crop it at the center and create a youtube short with it

  


  iam using youtube dl wrap node js library
here is my code example

  


  var ffmpeg = require("fluent-ffmpeg");
const fs = require("fs");
let rawdata = fs.readFileSync("./json-files/small.json");
let clips = JSON.parse(rawdata);

function convertIt(fileName) {
  return new Promise((resolve, reject) => {
    ffmpeg(`./media-new/${fileName}`)
      .size("480x640")
      .aspect("9:16")
      .autopad()
      .videoBitrate("4000k")
      .on("end", function () {
        console.log("file has been converted succesfully");
        resolve("foo");
      })
      .on("error", function (err) {
        console.log("an error happened: " + err.message);
        reject(err);
      })
      // save to file
      .save(`./lib/${fileName}`);
  });
}

async function convertToShorts() {
  for (const iterator of clips) {
    await convertIt(`${iterator.id}.mp4`);
  }
}

convertToShorts();


  


• The YouTube live stream encountered a failure

  12 février 2024, par kuldeep chopra

  We are currently utilizing the ffmpeg library for streaming on YouTube Live. However, we have faced issues in a recent live streaming session that initially functioned correctly but encountered errors around the 13 to 15-minute mark. The error logs from FFmpeg during this session are as follows :

  


  Live Stream 1 Error :(Attempt 1)

  


  


  ffmpeg [flv @ 0x555c4bdfe680] Failed to update header with correct
duration. 2023-09-07T23:06:38.490+05:30 [flv @ 0x555c4bdfe680] Failed
to update header with correct filesize. 2023-09-07T23:06:38.491+05:30
failed => rtmp ://a.rtmp.youtube.com/live2/key......
2023-09-07T23:06:38.491+05:30
ffmpeg [tee @ 0x555c48843700] Slave
muxer #1 failed : Broken pipe, continuing with 1/2 slaves.

  


  


  Live Stream 2 Error (Attempt 2) :

  


  


  Slave muxer #1 failed : Connection reset by peer, continuing with 1/2
slaves.

  


  


  It is crucial to note that we have conducted numerous live streams on YouTube without encountering this error previously ; this is the first instance of such an issue.

  


  We kindly request your assistance in investigating and providing insights into the underlying problem causing these error messages. Any guidance or support you can offer in resolving this issue would be greatly appreciated.