hfeeki

# coding: utf8
'''
对于图片相似度比较有很多方法，我们这以RGB直方图为例。
我们以一种规则，使得每个图片生成一组描述的特征向量。
opencv的直方图比较函数我们可以巧妙的利用，其有若干比较规则，但只支持直方图的数据结构，我们可以将特征向量拟合成直方图的数据结构，然后使用其的相似度比较函数。
具体的数学计算方法有兴趣的可以看opencv的官方教程，这里我们期望生成百分比形式的相似度参数，所以使用CV_COMP_CORREL
 
以下是代码，以python编写
'''
import cv2.cv as cv

hfeeki

#Create git user account
sudo adduser --shell $(which git-shell) --gecos 'git version control' --disabled-password git

sudo addgroup developers

#Add git user to the appropriate groups
sudo usermod -a -G www-data git
sudo usermod -a -G developers git

#Setup authorized_keys file for access

hfeeki

import os 
import fcntl, termios, struct, os

def getTerminalSize():
    env = os.environ
    def ioctl_GWINSZ(fd):
        try:
            cr = struct.unpack('hh', fcntl.ioctl(fd, termios.TIOCGWINSZ,'1234'))
        except:
            return

hfeeki

# sudo apt-get install libwxgtk2.8-dev

# install erlang observer
KERL_CONFIGURE_OPTIONS="--disable-debug --without-javac --enable-shared-zlib --enable-dynamic-ssl-lib --enable-hipe --enable-smp-support --enable-threads --enable-kernel-poll --with-wx" 

kerl build R16B02 r16b02.wx
kerl install r16b01.wx ~/erlang/r16b02wx

erl -s observer start

hfeeki

package main

import (
    "bytes"
    "fmt"
    "log"
    "os/exec"
)

func main() {

hfeeki

# maybe need to stop the rabbit server first 
# invoke-rc.d rabbitmq-server stop

# sudo echo "deb http://www.rabbitmq.com/debian/ testing main" >> /etc/apt/sources.list # this line will cause error 

cd 
mkdir temp
cd temp
wget http://www.rabbitmq.com/rabbitmq-signing-key-public.asc
sudo apt-key add rabbitmq-signing-key-public.asc

hfeeki

sudo apt-get install protobuf-compiler libprotobuf-dev libprotoc-dev
git clone https://github.com/protobuf-c/protobuf-c
cd protobuf-c
./autogen.sh
make
sudo make install

hfeeki

# Install GCC 4.7.3
sudo apt-add-repository ppa:ubuntu-sdk-team/ppa
sudo apt-get update
sudo apt-get install -y build-essential

# Install CMake 2.8.10.1
sudo apt-get install -y cmake cmake-curses-gui 

wget http://netcologne.dl.sourceforge.net/project/opencvlibrary/opencv-unix/2.4.5/opencv-2.4.5.tar.gz
tar -xf opencv-2.4.5.tar.gz

hfeeki

sudo apt-get install -y build-essential
sudo apt-get install -y mesa-common-dev

wget http://download.qt-project.org/official_releases/qt/5.0/5.0.2/qt-linux-opensource-5.0.2-x86-offline.run

chmod +x qt-linux-opensource-5.0.2-x86-offline.run
./qt-linux-opensource-5.0.2-x86-offline.run

hfeeki

#!/usr/bin/env python
"""
Very simple HTTP server in python.

Usage::
    ./dummy-web-server.py [<port>]

Send a GET request::
    curl http://localhost