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• ffmpeg libx264 encoder different machines different output

  29 avril 2020, par yfu

  I'm new to development with ffmpeg and I was wondering if it is possible to get the same bit exact output by running ffmpeg with the libx264 encoder on different machines (compiled using different compilers) with the same input file and same configuration options ?

  



  If it is possible, are there additional configuration options that need to be set when compiling libx264/ffmpeg ? If it is not possible, why ?

  



  Below is the output from my running two versions off ffmpeg with libx264 that yield different MD5 hashes of the outputs.

  



  ffmpeg installed via homebrew on OSX

  



  ffmpeg version 3.4 Copyright (c) 2000-2017 the FFmpeg developers
  built with Apple LLVM version 9.0.0 (clang-900.0.38)
  configuration: --prefix=/usr/local/Cellar/ffmpeg/3.4 --enable-shared --enable-pthreads --enable-version3 --enable-hardcoded-tables --enable-avresample --cc=clang --host-cflags= --host-ldflags= --enable-gpl --enable-libass --enable-libfdk-aac --enable-libfreetype --enable-libmp3lame --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libx265 --enable-libxvid --disable-lzma --enable-nonfree


  



  ffmpeg on Alpine Linux (in a Docker container based on https://github.com/jrottenberg/ffmpeg/blob/master/docker-images/3.4/alpine/Dockerfile)

  



  ffmpeg version 3.4 Copyright (c) 2000-2017 the FFmpeg developers
  built with gcc 6.2.1 (Alpine 6.2.1) 20160822
  configuration: --enable-shared --enable-pthreads --enable-version3 --enable-hardcoded-tables --enable-avresample --enable-gpl --enable-libass --enable-libfdk-aac --enable-libfreetype --enable-libmp3lame --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libx265 --enable-libxvid --disable-lzma --enable-nonfree --prefix=/opt/ffmpeg


  



  Test run with ffmpeg on OSX

  



  ffmpeg -i seg.ts -c:v libx264 -s 1280x720 -minrate 6000k -maxrate 6000k -bufsize 6000k -r 60 -threads 1 -f md5 -


  



  Output

  



  MD5=b7c84c0bae5da6749e389a5b69d88582

  



  Test run with ffmpeg on Alpine Linux (in a Docker container based on https://github.com/jrottenberg/ffmpeg/blob/master/docker-images/3.4/alpine/Dockerfile)

  



  docker run --rm -v /code/:/tmp/workdir -w=/tmp/workdir ffmpeg -i seg.ts -c:v libx264 -s 1280x720 -minrate 6000k -maxrate 6000k -bufsize 6000k -r 60 -threads 1 -f md5 -


  



  Output

  



  MD5=c46af8fbdbbb2bfbb9f7042ab28accfc

  


• Playing With Emscripten and ASM.js

  1er mars 2014, par Multimedia Mike — General

  The last 5 years or so have provided a tremendous amount of hype about the capabilities of JavaScript. I think it really kicked off when Google announced their Chrome web browser in September, 2008 along with its V8 JS engine. This seemed to spark an arms race in JS engine performance along with much hyperbole that eventually all software could, would, and/or should be written in straight JavaScript for maximum portability and future-proofing, perhaps aided by Emscripten, a tool which magically transforms C and C++ code into JS. The latest round of rhetoric comes courtesy of something called asm.js which purports to narrow the gap between JS and native code performance.

  I haven’t been a believer, to express it charitably. But I wanted to be certain, so I set out to devise my own experiment to test modern JS performance.

  Up Front Summary
  I was extremely surprised that my experiment demonstrated JS performance FAR beyond my expectations. There might be something to these claims of magnficent JS speed in numerical applications. Basically, here were my thoughts during the process :

  • There’s no way that JavaScript can come anywhere close to C performance for a numerically intensive operation ; a simple experiment should demonstrate this.
  • Here’s a straightforward C program to perform a simple yet numerically intensive operation.
  • Let’s compile the C program on gcc and get some baseline performance numbers.
  • Let’s use Emscripten to convert the C program to JavaScript and run it under Chrome.
  • Ha ! Pitiful JS performance, just as I expected !
  • Try the same program under Firefox, since Firefox is supposed to have some crazy optimization for asm.js code, allegedly emitted by Emscripten.
  • LOL ! Firefox performs even worse than Chrome !
  • Wait a minute… the Emscripten documentation mentioned using optimization levels for generating higher performance JS, so try ‘-O1′.
  • Umm… wow : Chrome’s performance increased dramatically ! What about Firefox ? Not only is Firefox faster than Chrome, it’s faster than the gcc-generated code !
  • As my faith in C is suddenly shaken to its core, I remembered to compile the gcc version with an explicit optimization level. The native C version pulled ahead of Firefox again, but the Firefox code is still close.
  • Aha ! This is just desktop– but what about mobile ? One of the leading arguments for converting everything to pure JavaScript is that such programs will magically run perfectly in mobile browsers. So I wager that this is where the experiment will fall over.
  • I proceed to try the same converted program on a variety of mobile platforms.
  • The mobile platforms perform rather admirably as well.
  • I am surprised.

  The Experiment
  I wanted to run a simple yet numerically-intensive and relevant benchmark, and something I am familiar with. I settled on JPEG image decoding. Again, I wanted to keep this simple, ideally in a single file because I didn’t know how hard it might be to deal with Emscripten. I found NanoJPEG, which is a straightforward JPEG decoder contained in a single C file.
  

  I altered nanojpeg.c (to a new file called nanojpeg-static.c) such that the main() program would always load a 1920×1080 (a.k.a. 1080p) JPEG file (“bbb-1080p-title.jpg”, the Big Buck Bunny title), rather than requiring a command line argument. Then I used gettimeofday() to profile the core decoding function (njDecode()).

  Compiling with gcc and profiling execution :

  gcc -Wall nanojpeg-static.c -o nanojpeg-static
  ./nanojpeg-static
  

  Optimization levels such as -O0, -O3, or -Os can be applied to the compilation command.

  For JavaScript conversion, I installed Emscripten and converted using :

  /path/to/emscripten/emcc nanojpeg-static.c -o nanojpeg.html \
    —preload-file bbb-1080p-title.jpg -s TOTAL_MEMORY=32000000
  

  The ‘–preload-file’ option makes the file available to the program via standard C-style file I/O functions. The ‘-s TOTAL_MEMORY’ was necessary because the default of 16 MB wasn’t enough. Again, the -O optimization levels can be sent in.

  For running, the .html file is loaded (via webserver) in a web browser.

  Want To Try It Yourself ?
  I put the files here : http://multimedia.cx/emscripten/. The .c file, the JPEG file, and the Emscripten-converted files using -O0, -O1, -O2, -O3, -Os, and no optimization switch.

  Results and Charts
  Here is the spreadsheet with the raw results.

  I ran this experiment using Ubuntu Linux 12.04 on an Intel Atom N450-based netbook. For this part, I was able to compare the Chrome and Firefox browser results against the C results :

  
  
  

  These are the results for a 2nd generation Android Nexus 7 using both Chrome and Firefox :

  
  
  

  Here is the result for an iPad 2 running iOS 7 and Safari– there is no Firefox for iOS and while there is a version of Chrome for iOS, it apparently isn’t able to leverage an optimized JS engine. Chrome takes so long to complete this experiment that there’s no reason to muddy the graph with the results :
  

  
  
  

  Interesting that -O1 tends to provide better optimization than levels 2 or 3, and that -Os (optimize for size) seems to be a good all-around choice.

  Don’t Get Too Smug
  JavaScript can indeed get amazing performance in this day and age. Please be advised, however, that this isn’t the best that a C decoder implementation can possibly do. This version doesn’t leverage any SIMD extensions. According to profiling (using gprof against the C code), sample saturation in color conversion dominates followed by inverse DCT functions, common cases for SIMD ASM or intrinsics. Allegedly, there will be some support for JS SIMD optimizations some day. We’ll see.

  Implications For Development
  I’m still not especially motivated to try porting the entire Native Client game music player codebase to JavaScript. I’m still wondering about the recommended development flow. How are you supposed to develop for Emscripten and asm.js ? From what I can tell, Emscripten is not designed as a simple aide for porting C/C++ code to JS. No, it reduces the code into JS code you can’t possibly maintain. This seems to imply that the C/C++ code needs to be developed and debugged in its entirety and then converted to JS, which seems arduous.

• How to expose new API methods in the HTTP Reporting API – Introducing the Piwik Platform

  26 février 2015, par Thomas Steur — Development

  This is the next post of our blog series where we introduce the capabilities of the Piwik platform (our previous post was How to write UI tests for your plugin). This time you’ll learn how to extend our Reporting API. For this tutorial you will need to have basic knowledge of PHP.

  What is Piwik’s Reporting API ?

  It allows third party applications to access analytics data and manipulate miscellaneous data (such as users or websites) through HTTP requests.

  What is it good for ?

  The Reporting API is used by the Piwik UI to render reports, to manage users, and more. If you want to add a feature to the Piwik UI, you might have to expose a method in the API to access this data. As the API is called via HTTP it allows you to fetch or manipulate any Piwik related data from anywhere. In these exposed API methods you can do pretty much anything you want, for example :

  • Enhance existing reports with additional data
  • Filter existing reports based on custom rules
  • Access the database and generate custom reports
  • Persist and read any data
  • Request server information

  Getting started

  In this series of posts, we assume that you have already set up your development environment. If not, visit the Piwik Developer Zone where you’ll find the tutorial Setting up Piwik.

  To summarize the things you have to do to get setup :

  • Install Piwik (for instance via git).
  • Activate the developer mode : ./console development:enable.
  • Generate a plugin : ./console generate:plugin --name="MyApiPlugin". There should now be a folder plugins/MyApiPlugin.
  • And activate the created plugin : ./console plugin:activate "MyApiPlugin"

  Let’s start creating an API

  We start by using the Piwik Console to create a new API :

  ./console generate:api

  The command will ask you to enter the name of the plugin the created API should belong to. I will simply use the above chosen plugin name “MyApiPlugin”. There should now be a file plugins/MyApiPlugin/API.php which contains already an example to get you started easily :

  class API extends \Piwik\Plugin\API
  {
      public function getAnswerToLife($truth = true)
      {
          if ($truth) {
              return 42;
          }
   
          return 24;
      }
   
      public function getExampleReport($idSite, $period, $date, $wonderful = false)
      {
          $table = DataTable::makeFromSimpleArray(array(
              array('label' => 'My Label 1', 'nb_visits' => '1'),
              array('label' => 'My Label 2', 'nb_visits' => '5'),
          ));
   
          return $table;
      }
  }
  Télécharger

  Any public method in that file will be available via the Reporting API. For example the method getAnswerToLife can be called via this URL : index.php?module=API&method=MyApiPlugin.getAnswerToLife. The URL parameter method is a combination of your plugin name and the method name within this class.

  Passing parameters to your method

  Both example methods define some parameters. To pass any value to a parameter of your method simply specify them by name in the URL. For example ...&method=MyApiPlugin.getExampleReport&idSite=1&period=week&date=today&wonderful=1 to pass values to the parameters of the method getExampleReport.

  Returning a value

  In an API method you can return any boolean, number, string or array value. A resource or an object cannot be returned unless it implements the DataTableInterface such as DataTable (the primary data structure used to store analytics data in Piwik), DataTable\Map (stores a set of DataTables) and DataTable\Simple (a DataTable where every row has two columns : label and value).

  Did you know ? You can choose the response format of your API request by appending a parameter &format=JSON|XML|CSV|... to the URL. Check out the Reporting API Reference for more information.

  Best practices

  Check user permissions

  Do not forget to check whether a user actually has permissions to access data or to perform an action. If you’re not familiar with Piwik’s permissions and how to check them read our User Permission guide.

  Keep API methods small

  At Piwik we aim to write clean code. Therefore, we recommend to keep API methods small (separation of concerns). An API pretty much acts like a Controller :

  public function createLdapUser($idSite, $login, $password)
  {
      Piwik::checkUserHasAdminAccess($idSite);
      $this->checkLogin($login);
      $this->checkPassword($password);
      
      $myModel = new LdapModel();
      $success = $myModel->createUser($idSite, $login, $password);
      
      return $success;
  }
  Télécharger

  This is not only easy to read, it will also allow you to create simple tests for LdapModel (without having to bootstrap the whole Piwik layer) and you will be able to reuse it in other places if needed.

  Calling APIs of other plugins

  For example if you want to fetch an existing report from another plugin, say a list of all Page URLs, do not request this report by calling that method directly :

  \Piwik\Plugins\Actions\API::getInstance()->getPageUrls($idSite, $period, $date);

  . Instead, issue a new API request :

  $report = \Piwik\API\Request::processRequest('Actions.getPageUrls', array(
  
      'idSite' => $idSite,
  
      'period' => $period,
  
      'date'   => $date,
  
  ));

  This has several advantages :

  • It avoids a fatal error if the requested plugin is not available on a Piwik installation
  • Other plugins can extend the called API method via events (adding additional report data to a report, doing additional permission checks) but those events will be only triggered when requesting the report as suggested
  • If the method parameters change, your request will most likely still work

  Publishing your Plugin on the Marketplace

  In case you want to share your API with other Piwik users you can do this by pushing your plugin to a public GitHub repository and creating a tag. Easy as that. Read more about how to distribute a plugin and best practices when publishing a plugin.

  Isn’t it easy to create a API ? We never even created a file ! If you have any feedback regarding our APIs or our guides in the Developer Zone feel free to send it to us.