Recherche avancée

Sur d’autres sites (8692)

• asp.net core live mp4 streaming

  8 octobre 2020, par kdma

  Prologue :

  


  I have a hikvision ipcamera that streams raw h264 from a rtsp :// url, I need to play this live feed in the browser.

  


  I managed to get a basic RTSP->ffmpeg-> (faststart) mp4 pipeline working and I can play the video when saved to a file.

  


  I don't understand how to make my controller action "streamable".

  


  I've tried various approaches like writing to Response.Body, Transfer-Encoding : chunked but nothing seems to work.
Here is the basic code :

  


  public IActionResult Play5(){    
      var ms = new MemoryStream();
      var muxer = new RTSPToMp4(ms);
      Task.Run(() => muxer.Stream());
      return new FileStreamResult(ms, "video/mp4");
}


  


  The memory stream contains the live feed but the response is empty here is the request\response from chrome :

  


  Request

  


  method: GET
:path: /api/stream/play5
:scheme: https
accept: */*
accept-encoding: identity;q=1, *;q=0
accept-language: it-IT,it;q=0.9,en-US;q=0.8,en;q=0.7
cache-control: no-cache
pragma: no-cache
range: bytes=0-
referer: https://localhost:5001/Stream
sec-fetch-dest: video
sec-fetch-mode: no-cors
sec-fetch-site: same-origin
user-agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.121 Safari/537.36


  


  Response

  


  content-length: 0
content-type: video/mp4
date: Thu, 08 Oct 2020 14:31:06 GMT
server: Kestrel
status: 200


  


  Am I missing something ?

  


• dnn : change dnn interface to replace DNNData* with AVFrame*

  28 août 2020, par Guo, Yejun

  dnn : change dnn interface to replace DNNData* with AVFrame*
  Currently, every filter needs to provide code to transfer data from
  
  AVFrame* to model input (DNNData*), and also from model output
  
  (DNNData*) to AVFrame*. Actually, such transfer can be implemented
  
  within DNN module, and so filter can focus on its own business logic.
  DNN module also exports the function pointer pre_proc and post_proc
  
  in struct DNNModel, just in case that a filter has its special logic
  
  to transfer data between AVFrame* and DNNData*. The default implementation
  
  within DNN module is used if the filter does not set pre/post_proc.
  

  • [DH] configure
  • [DH] libavfilter/dnn/Makefile
  • [DH] libavfilter/dnn/dnn_backend_native.c
  • [DH] libavfilter/dnn/dnn_backend_native.h
  • [DH] libavfilter/dnn/dnn_backend_openvino.c
  • [DH] libavfilter/dnn/dnn_backend_openvino.h
  • [DH] libavfilter/dnn/dnn_backend_tf.c
  • [DH] libavfilter/dnn/dnn_backend_tf.h
  • [DH] libavfilter/dnn/dnn_io_proc.c
  • [DH] libavfilter/dnn/dnn_io_proc.h
  • [DH] libavfilter/dnn_interface.h
  • [DH] libavfilter/vf_derain.c
  • [DH] libavfilter/vf_dnn_processing.c
  • [DH] libavfilter/vf_sr.c

• what is the faster way to load a local image using javascript and / or nodejs and faster way to getImageData ?

  4 octobre 2020, par Tom Lecoz

  I'm working on a video-editing-tool online for a large audience.
Users can create some "scenes" with multiple images, videos, text and sound , add a transition between 2 scenes, add some special effects, etc...

  


  When the users are happy with what they made, they can download the result as a mp4 file with a desired resolution and framerate. Let's say full-hd-60fps for example (it can be bigger).

  


  I'm using nodejs & ffmpeg to build the mp4 from HtmlCanvasElement.
Because it's impossible to seek perfectly frame-by-frame with a HtmlVideoElement, I start to convert the videos from each "scene" in a sequence of png using ffmpeg.
Then, I read my scene frame by frame and , if there are some videos, I replace the videoElements by an image containing the right frame. Once every images are loaded, I launch the capture and go to the next frame.

  


  Everythings works as expected but it's too slow !
Even with a powerfull computer (ryzen 3900X, rtx 2080 super, 32 gb of ram , nvme 970 evo plus) , in the best case, I can capture basic full-hd movie (if it contains videos inside) at 40 FPS.

  


  It may sounds good enought but it's not.
Our company produce thousands of mp4 every day.
A slow encoding process means more servers at works so it will be more expensive for us.

  


  Until now, my company used (and is still using) a tool based on Adobe Flash because the whole video-editing-tool was made with Flash. I was (and am) in charge to translate the whole thing into HTML. I reproduced every feature one by one during 4 years (it's by far my biggest project) and this is the very last step but even if the html-version of our player works very well, the encoding process is much slower than the flash version - able to encode full-hd at 90-100FPS - )

  


  I put console.log everywhere in order to find what makes the encoding so slow and there are 2 bottlenecks :

  


  As I said before, for each frame, if there are videos on the current scene, I replace video-elements by images representing the right frame at the right time. Since I'm using local files, I expected a loading time almost synchronous. It's not the case at all, it required more than 10 ms in most cases.

  


  So my first question is "what is the fastest way to handle local image loading with javascript used as final output ?".

  


  I don't care about the technology involved, I have no preference, I just want to be able to load my local image faster than what I get for now.

  


  The second bottleneck is weird and to be honest I don't understand what's happening here.

  


  When the current frame is ready to be captured, I need to get it's data using CanvasRenderingContext2D.getImageData in order to send it to ffmpeg and this particular step is very slow.

  


  This single line

  


  let imageData = canvas.getContext("2d").getImageData(0,0,1920,1080);  


  


  takes something like 12-13 ms.
It's very slow !

  


  So I'm also searching another way to extract the pixels-data from my canvas.

  


  Few days ago, I found an alternative to getImageData using the new class called VideoFrame that has been created to be used with the classes VideoEncoder & VideoDecoder that will come in Chrome 86.
You can do something like that

  


  let buffers:Uint8Array[] = [];
createImageBitmap(canvas).then((bmp)=>{
   let videoFrame = new VideoFrame(bmp);
   for(let i = 0;i<3;i++){
      buffers[i] = new Uint8Array(videoFrame.planes[id].length);
      videoFrame.planes[id].readInto(buffers[i])
   }
})


  


  It allow me to grab the pixel data around 25% quickly than getImageData but as you can see, I don't get a single RGBA buffer but 3 weirds buffers matching with I420 format.

  


  In an ideal way, I would like to send it directly to ffmpeg but I don't know how to deals with these 3 buffers (i have no experience with I420 format) .

  


  I'm not sure at all the solution that involve VideoFrame is a good one. If you know a faster way to transfer the data from a canvas to ffmpeg, please tell me.

  


  Thanks for reading this very long post.
Any help would be very appreciated