Vireo is a lightweight and versatile video processing library that powers our video transcoding service, deep learning recognition systems and more. It is written in C++11 and built with functional programming principles. It also optionally comes with Scala wrappers that enable us to build scalable video processing applications within our backend services. Vireo is built on top of best of class op
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transpoint.rb ОyuLV ��YuLV #!/usr/bin/env ruby # http://www.mk-mode.com/octopress/2013/08/28/ruby-write-character-by-rmagick/ # http://www.gesource.jp/weblog/?p=194 # transpoint - Twitterにpng画像をアップロードするときにjpeg圧縮が掛からないように右下隅の1ピクセルを透明にする require 'fileutils' require 'RMagick' def transpoint(image_filename) image = Magick::ImageList.new(image_filename) image.pixel_color(image.columns - 1, image.rows -
Put twittering-mode.el in a directory specified by the variable load-path. Note that the directories emacs21 and url-emacs21 must be placed at the same directory on Emacs 21. On Windows without curl or wget, the directory win-curl must be placed there. You can add a directory to the variable load-path by (add-to-list 'load-path "ADDITIONAL-DIRECTORY"). Execute M-x twit to run twittering-mode. Open
You can install ZKTraffic via pip: .. code-block:: bash $ pip install zktraffic Or run it from source (if you have the dependencies installed, see below): .. code-block:: bash $ git clone https://github.com/twitter/zktraffic.git $ cd zktraffic $ sudo ZKTRAFFIC_SOURCE=1 bin/zk-dump --iface=eth0 To get a quick count of requests by path: .. code-block:: bash $ sudo ZKTRAFFIC_SOURCE=1 bin/zk-dump --if
GraphJet is a real-time graph processing library written in Java that maintains a full graph index over a sliding time window in memory on a single server. This index supports a variety of graph algorithms including personalized recommendation algorithms based on collaborative filtering. These algorithms power a variety of real-time recommendation services within Twitter, notably content (tweets/U
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