(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
| // Run this from the commandline: | |
| // phantomjs runner.js | ffmpeg -y -c:v png -f image2pipe -r 24 -t 10 -i - -c:v libx264 -pix_fmt yuv420p -movflags +faststart output.mp4 | |
| var page = require('webpage').create(), | |
| address = 'http://s.codepen.io/phanan/fullembedgrid/YPLewm?type=embed&safe=true&_t=1424767252279', | |
| duration = 3, // duration of the video, in seconds | |
| framerate = 24, // number of frames per second. 24 is a good value. | |
| counter = 0, | |
| width = 500, | |
| height = 500; |
| Because I couldn't find these with a quick Google search on 28 April 2015: | |
| Usage: | |
| rails new APP_PATH [options] | |
| Options: | |
| -r, [--ruby=PATH] # Path to the Ruby binary of your choice | |
| # Default: /home/brian/.rvm/rubies/ruby-2.2.0/bin/ruby | |
| -m, [--template=TEMPLATE] # Path to some application template (can be a filesystem path or URL) | |
| [--skip-gemfile], [--no-skip-gemfile] # Don't create a Gemfile |
| # Backup | |
| docker exec CONTAINER /usr/bin/mysqldump -u root --password=root DATABASE > backup.sql | |
| # Restore | |
| cat backup.sql | docker exec -i CONTAINER /usr/bin/mysql -u root --password=root DATABASE | |
The OpenCV library implements tons of useful image processing and computer vision algorithms, as well as the high-level GUI API. Written in C++, it has bindings in Python, Java, MATLAB/Octave, C#, Perl and Ruby. We present the Lua bindings that are based on Torch, made by VisionLabs with support from Facebook and Google Deepmind.
By combining OpenCV with scientific computation abilities of Torch, one gets an even more powerful framework capable of handling computer vision routines (e.g. face detection), interfacing video streams (including cameras), easier data visualization, GUI interaction and many more. In addition, most of the computationally intensive algorithms are available on GPU via Cutorch. All these features may be essentially useful for those dealing with deep learning applied to images.
| #!/bin/sh | |
| # Based on gist.github.com/gboudreau/install-ffmpeg-amazon-linux.sh | |
| # and https://trac.ffmpeg.org/wiki/CompilationGuide/Centos | |
| if [ "`/usr/bin/whoami`" != "root" ]; then | |
| echo "You need to execute this script as root." | |
| exit 1 | |
| fi | |
| cat > /etc/yum.repos.d/centos.repo<<EOF |