Fatih Kahveci fatihkahveci

Basic RESTful API with Symfony 2 + FOSRestBundle (JSON format only) + FOSUserBundle + FOSOauthServerBundle

The API we are creating in this gist will follow these rules :

The API only returns JSON responses
All API routes require authentication
Authentication is handled via OAuth2 with password Grant Type only (no need for Authorization pages and such).
API versioning is managed via a subdomain (e.g. v1.api.example.com)

The API will be written in PHP with the Symfony 2 framework. The following SF2 bundles are used :

This face-boxer.py script is more-or-less the same code that you'll find in the OpenCV tutorial: Face Detection using Haar Cascades. For another variation, with more explanation, check out RealPython's tutorial.

The face-boxer.py script is designed to be run from the command-line. It has two required arugments:

The path to a XML file containing a Haar-cascade of visual features. In this example, it will be the features that make up a face.
The path to an image file that you want to perform face-detection on. You can pass in more than one image file as space-separated arguments.

This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.

To capture the video (filesize: 19MB), using the free "QuickTime Player" application:

	#!/bin/bash

	# Bash script to install latest version of ffmpeg and its dependencies on Ubuntu 12.04 or 14.04
	# Inspired from https://gist.github.com/faleev/3435377

	# Remove any existing packages:
	sudo apt-get -y remove ffmpeg x264 libav-tools libvpx-dev libx264-dev

	# Get the dependencies (Ubuntu Server or headless users):
	sudo apt-get update

	<?xml version="1.0" encoding="utf-8"?>
	<resources>

	<!-- google's material design colours from
	http://www.google.com/design/spec/style/color.html#color-ui-color-palette -->

	<!--reds-->
	<color name="md_red_50">#FFEBEE</color>
	<color name="md_red_100">#FFCDD2</color>
	<color name="md_red_200">#EF9A9A</color>