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• how to generate rtsp stream using laptop cam [closed]

  13 décembre 2023, par Mubahsir

  I am using the following command to capture video from the laptop camera and stream it as an RTSP using ffmpeg :

  


  ffmpeg -f v4l2 -i /dev/video0 -c:v libx264 -profile:v baseline -pix_fmt yuv420p -b:v 500k -r 30 -f rtsp rtsp://127.0.0.1:1234


  


  Upon executing this command, the laptop camera's indicator light turns on, indicating that it is in use. However, when attempting to view the RTSP stream on VLC using the URL rtsp://127.0.0.1:1234, no video is displayed.

  


• Analytics for the Internet of Things : collecting all your things’ data with Piwik to stay in control ?

  25 novembre 2015, par Matthieu Aubry — About

  At Piwik our mission is to create the leading free and open source analytics platform, and supporting global organisations and communities to keep full control over their data.

  Our broad mission started 8 years ago and we focused at first helping people to liberate their website analytics data, then liberate their mobile app analytics data. But it is clear that there is much more than Web + Mobile : data is everywhere and a lot more data is being generated by software, people and their activities, robots, sensors…

  I’d like to share an interesting article which highlights one of the growing trends of technology : the rise of the Internet Of Things : 6 Ways Analytics And The Internet Of Things Will Transform Business.

  Here is an extract :

  The tech industry is no stranger to change, but the data derived from the IoT is taking disruption to a new level.

  At IBM’s Insight conference last month, Bob Picciano, senior vice president of IBM Analytics, talked about the rise of the “cognitive business”, or an enterprise that engages with analytics to improve its customer relations, business processes, and decision-making capabilities.

  There are dueling predictions over how ubiquitous the Internet of Things will be, but most indicate that the marketplace will host between 50 and 75 billion connected objects by 2020, signaling novel challenges for hardware manufacturing and development. Software engineers, likewise, may need to completely revamp programs to better exploit the influx of data, while innovators need to wrestle with the changes wrought by analytics.

  IBM’s Insight event unfolded in light of this wave of disruption. The lineup of corporate presenters converged on the same message : Analytics is for everyone, and your viability in the marketplace depends on it.

  […]

  IBM’s Insight 2015 conference sounded off on the most important trends in data usage and management. It also served a wake-up call for developers, engineers, and tech leaders. As the Internet of Things alters the landscape of analytics, hardware design needs to change, software development requires novel approaches, and tech management must become more agile in order to realize data’s greatest benefits.

  So far there are 1 million websites using Piwik… but what if there could be 10 or 50 million things (sensors, devices) being measured by Piwik ?

  Together we will be creating the best open source and generic analytics platform, that is engineered to last, and designed to help humanity keep control and gain Freedom.

  We aim for Piwik to be the ideal platform to measure the Internet Of Things.

  We’re still at the beginning of this journey and it will take the best of all of us to get there.

  See you on the way !

  PS : if you’d like to get involved with Piwik, we would be glad to welcome you !

• Memory issues when using ffmpeg and gloss to play videos

  21 décembre 2015, par Noughtmare

  I’m trying to make a video player with haskell using ffmpeg-light, JuicyPixels and gloss. I’m now able to play video, but frames that have been played stay in memory. This causes major memory issues. How can I avoid storing all the frames in memory ?

  Here is my code :

  {-# LANGUAGE FlexibleContexts #-}
  
  module Main where
  
  
  
  -- For my own code:
  
  import Graphics.Gloss
  
  import Codec.FFmpeg
  
  import Codec.FFmpeg.Juicy
  
  import Codec.Picture
  
  import Control.Applicative
  
  import Data.Maybe
  
  import Graphics.Gloss.Juicy
  
  import Control.Monad (when, join)
  
  import Codec.FFmpeg.Decode
  
  import Codec.FFmpeg.Enums
  
  import Control.Monad.Error.Class
  
  import Control.Arrow (first)
  
  import Control.Monad.Except (runExceptT)
  
  import Graphics.Gloss.Interface.IO.Animate
  
  import Data.IORef
  
  
  
  -- Temporary hardcoded resolution
  
  resolution :: (Int,Int)
  
  resolution = (640, 360)
  
  
  
  main :: IO ()
  
  main = do
  
      -- First initialize ffmpeg, this needs to be run before other ffmpeg functions
  
      initFFmpeg
  
      -- Open the samplevideo for reading. video :: IO (IO (Maybe (AVFrame, Double)), IO ())
  
      video <- runExceptT $ frameReaderTime' avPixFmtRgb24 "SampleVideo_640x360_1mb.flv"
  
      either
  
            -- This code gets called when the frameReader reports an error
  
            (const $ putStrLn "Can't read file")
  
            -- This opens a new window and plays the video in it on a white background
  
            (animateFixedIO (InWindow "Nice Window" resolution (10, 10)) white . frameAtWait . fst)
  
  
  
            video
  
  
  
  -- This finds the frame at given time
  
  frameAtWait :: IO (Maybe (AVFrame, Double)) -> Float -> IO Picture
  
  frameAtWait getFrame time = do
  
      -- This gets the next frame from the video
  
      (frame, t) <- fromJust <$> getFrame
  
      -- t has to be converted from Double to Float
  
      let t' = realToFrac t
  
          -- The difference between the requested time and the actual frame time
  
          difference = t' - time
  
      -- If the frame is not yet supposed to be shown
  
      if difference > 0 then do
  
          -- Wait until it is
  
          threadDelay . round . (* 1000000) $ difference
  
          -- then return it
  
          fromJust <$> frameToPicture frame
  
      else
  
          -- return it immediately
  
          fromJust <$> frameToPicture frame
  
  
  
  -- This function converts a ffmpeg internal AVFrame to a gloss picture
  
  frameToPicture :: AVFrame -> IO (Maybe Picture)
  
  frameToPicture frame = do
  
      -- convert it to a juicypixels dynamicimage
  
      dynImage <- toJuicy frame
  
      -- then convert it to a gloss picture and return it
  
      return . join $ fmap fromDynamicImage dynImage