Unzip a multi-part file

This is the description of unzipping all multi-part zip files in Ubuntu. step1: rename the multi-part zip file into a new name concatenated. >> cat test.part-* > test.zip step2: unzip the concatenated zip file. >> unzip test.zip Then, we can get the unzipped file.

reading and writing

OpenCV is a useful library comprised of many functions for computer vision and other related image processing fields. Here, I present a sample using the video processing capabilities of the latest OpenCV 2.2 library.

#include "opencv2/opencv.hpp"

int main( int argc, char** argv ) {

 cvNamedWindow( "Canny", CV_WINDOW_AUTOSIZE );

 // GET video
 CvCapture* capture = cvCreateFileCapture( "sample.avi" );
 if (!capture ) {
  printf( "Unable to read input video." );
  return 0;
 }

  double fps = cvGetCaptureProperty(
  capture,
  CV_CAP_PROP_FPS
  );

 // Read frame
 IplImage* frame = cvQueryFrame( capture );
 
 // INIT the video writer
 CvVideoWriter *writer = cvCreateVideoWriter(
  "out.avi",
  CV_FOURCC('M', 'J', 'P', 'G'),
  fps,
  cvGetSize(frame)
  );

 // DECLARE greyscale image to hold the result
 IplImage* edges  = cvCreateImage(
  cvGetSize(frame)
  , IPL_DEPTH_8U
  , 1
  );

 while(1) {

  // PERFORM canny edge detection
  cvCvtColor( frame, edges, CV_BGR2GRAY );        
        cvCanny( edges, edges, 1.0, 1.0, 3 );

  // WRITE the result
  cvCvtColor( edges, frame, CV_GRAY2BGR );
  cvWriteFrame( writer, frame );

  cvShowImage( "Canny", frame );

  // READ next frame
  frame = cvQueryFrame( capture );
  if( !frame ) break;

  char c = cvWaitKey(33);
  if( c == 27 ) break;
 }

 // CLEAN everything
 cvReleaseImage( &edges );
 cvReleaseImage( &frame );
 cvReleaseCapture( &capture );
 cvReleaseVideoWriter( &writer );

 cvDestroyWindow( "Canny" );
 return 0;
}

Linux で OpenCV バージョン 2.4.7

トップページ -> 研究道具箱と教材 -> OpenCV の使用法 -> Linux で OpenCV バージョン 2.4.7 のダウンロードとビルドとインストールとテスト実行

언어 선택한국어갈리시아어구자라트어그루지야어그리스어네덜란드어노르웨이어(보크몰)덴마크어독일어라오어라트비아어라틴어러시아어루마니아어리투아니아어마라티어마케도니아어말레이어몰타어몽어바스크어베트남어벨로루시어벵골어보스니아어불가리아어세르비아어세부아노스와힐리어스웨덴어스페인어슬로바키아어슬로베니아어아랍어아르메니아어아이슬란드어아이티 크리올어아일랜드어아제르바이잔어아프리칸스어알바니아어에스토니아어에스페란토어영어우르두어우크라이나어웨일즈어이디시어이탈리아어인도네시아어자바어중국어(간체)중국어(번체)체코어카탈로니아어칸나다어캄보디아어크로아티아어타갈로그어타밀어태국어터키어텔루구어페르시아어포르투갈어폴란드어프랑스어핀란드어헝가리어히브리어힌디어 번역에서 제공

[サイトマップへ]

Linux で OpenCV バージョン 2.4.7 のダウンロードとビルドとインストールとテスト実行

OpenCV (Open Computer Vision Library) とは， 実時間コンピュータビジョン (real time computer vision) の アルゴリズムと文書とサンプルコードの集まり．

この Web ページでは，Linux (Ubuntu) での OpenCV バージョン 2.4.7のビルドとインストール手順を図解等で説明します．

この Web ページでは、以下，次の２通りの手順について説明しています

• Ubuntu で OpenCV バージョン 2.4.7 のダウンロードとビルドとインストールを行うシェルスクリプト
• Linux で, コマンドを手入力して，OpenCV バージョン 2.4.7 のソースコードのダウンロードとビルドとインストールを行う場合の手順 (Ubuntu を使用)
  → 他の Linux でも同様の手順になると思います．

末尾にはサンプルプログラムのソースコードと動作手順も付けています。

Ubuntu での Intel TBB (Intel Threading Building Blocks) インストール手順は， 別の Web ページで説明しています．

※ 参考 Web ページ: http://opencv.jp/

---

Ubuntu で OpenCV バージョン 2.4.7 のダウンロードとビルドとインストールを行うシェルスクリプト

楽をしたいのでシェルスクリプトを作りました。 Ubuntu で下記のシェルスクリプトを実行すると、 OpenCV バージョン 2.4.7 のダウンロードとビルドとインストールが行われます． Ubuntu 12.04 を用いて動作確認済みです．

※ １つ１つコマンドを入力したい（シェルスクリプトにしたくない）場合については、この Web ページの下で説明しています。

# 最初は前提ソフトウエアのインストール
sudo apt-get -yV install build-essential
#
cd /tmp; sudo apt-get source opencv
sudo apt-get -yV build-dep opencv 
# 
sudo apt-get -yV install libqt4-dev 
sudo apt-get -yV install libgtk2.0-dev 
sudo apt-get -yV install pkg-config 
#
sudo apt-get -yV install opencl-headers 
# 
sudo apt-get -yV install libgomp1
# 
sudo apt-get -yV install libjpeg-dev
sudo apt-get -yV install libopenjpeg-dev
sudo apt-get -yV install jasper
sudo apt-get -yV install libjasper-dev libjasper-runtime
sudo apt-get -yV install libpng12-dev
sudo apt-get -yV install libpng++-dev libpng3
sudo apt-get -yV install libpnglite-dev libpngwriter0-dev libpngwriter0c2
sudo apt-get -yV install libtiff-dev libtiff-tools pngtools
sudo apt-get -yV install zlib1g-dev zlib1g-dbg
sudo apt-get -yV install v4l2ucp
#
sudo apt-get -yV install python
sudo apt-get -yV install autoconf
sudo apt-get -yV install libtbb2 libtbb-dev
sudo apt-get -yV install libeigen2-dev
sudo apt-get -yV install cmake
sudo apt-get -yV install openexr
sudo apt-get -yV install gstreamer-plugins-*
sudo apt-get -yV install freeglut3-dev
sudo apt-get -yV install libglui-dev
sudo apt-get -yV install libavc1394-dev libdc1394-22-dev libdc1394-utils
# ビデオ関係のパッケージ 
sudo apt-get -yV install libxine-dev
sudo apt-get -yV install libxvidcore-dev 
sudo apt-get -yV install libva-dev
sudo apt-get -yV install libssl-dev
sudo apt-get -yV install libv4l-dev
sudo apt-get -yV install libvo-aacenc-dev
sudo apt-get -yV install libvo-amrwbenc-dev 
sudo apt-get -yV install libvorbis-dev 
sudo apt-get -yV install libvpx-dev

cd /tmp
# if [ ! -f OpenCV-2.4.7.tar.bz2 ]; then 
#     wget http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.7/OpenCV-2.4.7.tar.bz2
# fi 
wget https://github.com/Itseez/opencv/archive/2.4.7.tar.gz
mv 2.4.7.tar.gz OpenCV-2.4.7.tar.gz

sudo rm -rf OpenCV-2.4.7
tar -xvzof /tmp/OpenCV-2.4.7.tar.gz
cd opencv-2.4.7
cmake -DBUILD_SHARED_LIBS=OFF -DBUILD_DOCS=ON -DBUILD_EXAMPLES=ON -DCMAKE_BUILD_TYPE=RELEASE -DWITH_TBB=ON -DWITH_GTK=ON -DWITH_OPENGL=ON -DWITH_QT=ON -DINSTALL_C_EXAMPLES=ON -DWITH_OPENCL=OFF -DWITH_CUDA=OFF -DWITH_OPENNI=ON -DWITH_UNICAP=ON -DWITH_V4L=ON -DWITH_XINE=ON -DWITH_OPENEXR=ON -DBUILD_OPENEXR=ON .
make
sudo make install
sudo ldconfig

OpenCV のサンプルプログラムは、このWebページの末尾につけています．

---

Linux で, コマンドを手入力して，OpenCV バージョン 2.4.7 のソースコードのダウンロードとビルドとインストールを行う場合の手順 (Ubuntu や Fedora を使用)

前準備

■ Ubuntu 12.04 の場合の操作手順(例）

Ubuntu の他のバージョンでも同様の手順になります

1. アップデート操作

   sudo apt-get -yV update
   sudo apt-get -yV upgrade
   sudo reboot
   
2. ビルドに必要となる前提ソフトウエアのインストール　
   「apt-get build-dep」を使うと簡単．

   sudo apt-get -yV install build-essential
   #
   cd /tmp; sudo apt-get source opencv
   sudo apt-get -yV build-dep opencv 
   # 
   sudo apt-get -yV install libqt4-dev 
   sudo apt-get -yV install libgtk2.0-dev 
   sudo apt-get -yV install pkg-config 
   # 
   sudo apt-get -yV install opencl-headers 
   # 
   sudo apt-get -yV install libjpeg-dev
   sudo apt-get -yV install libopenjpeg-dev
   sudo apt-get -yV install jasper
   sudo apt-get -yV install libjasper-dev libjasper-runtime
   sudo apt-get -yV install libpng12-dev
   sudo apt-get -yV install libpng++-dev libpng3
   sudo apt-get -yV install libpnglite-dev libpngwriter0-dev libpngwriter0c2
   sudo apt-get -yV install libtiff-dev libtiff-tools pngtools
   sudo apt-get -yV install zlib1g-dev zlib1g-dbg
   sudo apt-get -yV install v4l2ucp
   #
   sudo apt-get -yV install python
   sudo apt-get -yV install autoconf
   sudo apt-get -yV install libtbb2 libtbb-dev
   sudo apt-get -yV install libeigen2-dev
   sudo apt-get -yV install cmake
   sudo apt-get -yV install openexr
   sudo apt-get -yV install gstreamer-plugins-*
   sudo apt-get -yV install freeglut3-dev
   sudo apt-get -yV install libglui-dev
   sudo apt-get -yV install libavc1394-dev libdc1394-22-dev libdc1394-utils
   # ビデオ関係のパッケージ 
   sudo apt-get -yV install libxine-dev
   sudo apt-get -yV install libxvidcore-dev 
   sudo apt-get -yV install libva-dev
   sudo apt-get -yV install libssl-dev
   sudo apt-get -yV install libv4l-dev
   sudo apt-get -yV install libvo-aacenc-dev
   sudo apt-get -yV install libvo-amrwbenc-dev 
   sudo apt-get -yV install libvorbis-dev 
   sudo apt-get -yV install libvpx-dev
   

■ Fedora 15 の場合の操作手順(例）

1. アップデート操作

   sudo yum check-update
   sudo yum update
   sudo reboot
   
2. ビルドに必要となる前提ソフトウエアのインストール　 p
   python, gtk+ などのインストールを行う

   yum install gcc
   yum install g++
   yum install python
   yum install gtk+-devel
   yum install libjpeg-devel
   yum install libtiff-devel
   yum install jasper-devel
   yum install libpng-devel
   yum install zlib-devel
   # 4 エル 2
   yum install v4l2*
   yum install totem
   yum install xine
   yum install unicap-devel
   yum install autoconf
   

OpenCV のダウンロードとビルトとインストール手順

1. Web ページを開く
   http://sourceforge.net/projects/opencvlibrary/
2. 「Files」をクリック
   
3. 「opencv-unix」をクリック
   
4. 最新版である「2.4.7」をクリック
   
5. opencv-2.4.7.tar.gz をクリックして、ダウンロード。
   
6. ダウンロードと展開
   以下の操作はコンソールで行う（以下、画面キャプチャは Ubuntu 12.04 のもの）
   ※ ダウンロードしたファイルを /tmp に置いている

   cd /tmp
   tar -xvzof /tmp/opencv-2.4.7.tar.gz
   

   
7. (オプション) 「ccmake .」を実行して，設定を確認する
   
8. 「cmake .」の実行
   ◆実行例
   参考 Web ページ: 「-DBUILD_SHARED_LIBS=OFF」については、http://docs.opencv.org/doc/tutorials/introduction/desktop_java/java_dev_intro.html

   cd opencv-2.4.7
   cmake -DBUILD_DOCS=ON -DBUILD_EXAMPLES=ON -DCMAKE_BUILD_TYPE=RELEASE -DWITH_TBB=ON -DWITH_GTK=ON -DWITH_OPENGL=ON -DWITH_QT=ON -DINSTALL_C_EXAMPLES=ON -DWITH_OPENCL=OFF -DWITH_CUDA=OFF -DWITH_OPENNI=ON -DWITH_UNICAP=ON -DWITH_V4L=ON -DWITH_XINE=ON  .
   

   
   ※ バージョン 2.4.4 では-DBUILD_opencv_java=OFFをつける．エラーの回避のため（環境によって、エラーが出ない場合もあると思います）。
9. cmake . の結果の確認
   
10. make の実行

    make
    

    
11. make の結果の確認
    エラーメッセージが出ていないこと
    ※ make のときにエラーが出たら 「cmake .」のところに戻って cmake のパラメータを調整して、もう1度繰り返す。
    
12. sudo make install の実行

    sudo make install
    

    
13. sudo make install の結果の確認
    ※ エラーメッセージが出ていないこと
    
14. sudo ldconfig の実行
    

---

試しに OpenCV を使ってみる

画像ファイルの読み込みと表示

◆プログラムの例

• imread: 画像ファイルの読み込み
• namedWindow: ウインドウを開く
• imshow: ウインドウに画像を表示

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>

using namespace cv;

int main( int argc, char** argv )
{
  Mat rgb;

  rgb = imread( "/usr/local/share/OpenCV/samples/c/fruits.jpg", /* 3-channel color image */ 1 );
  namedWindow( "Display Image", CV_WINDOW_AUTOSIZE | CV_WINDOW_FREERATIO );
  imshow( "Display Image", rgb );

  waitKey(0);

  return 0;
}

◆コンパイルコマンドの例

Linux の場合を示しています．

g++ -o a.out hoge.cc -I/usr/local/include/opencv2 -I/usr/local/include/opencv -L/usr/local/lib -lopencv_highgui -lopencv_core

◆ 実行結果の例 (OpenCV バージョン 2.4.6.1 で実行)

./a.out

カラー画像の濃淡画像への変換

◆プログラムの例

• cvtColor: 色空間における変換

#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>

using namespace cv;

int main( int argc, char** argv )
{
  Mat rgb, gray; 

  rgb = imread( "/usr/local/share/OpenCV/samples/c/fruits.jpg", /* 3-channel color image */ 1 );
  cvtColor(rgb, gray, CV_BGR2GRAY);

  namedWindow( "Display Image", CV_WINDOW_AUTOSIZE | CV_WINDOW_FREERATIO );
  imshow( "Display Image", gray );

  waitKey(0);

  return 0;
}

◆コンパイルコマンドの例

Linux の場合を示しています．

g++ -o a.out hoge.cc -I/usr/local/include/opencv2 -I/usr/local/include/opencv -L/usr/local/lib -lopencv_highgui -lopencv_imgproc -lopencv_core

◆ 実行結果の例 (OpenCV バージョン 2.4.6.1 で実行)

./a.out

Opening と Closing によるノイズ除去

◆プログラムの例

• morphologyEx: 構造要素を用いたモルフォロジー演算

#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>

using namespace cv;

int main( int argc, char** argv )
{
  Mat rgb, hsv, hsv2, hsv3, rgb3;

  rgb = imread( "/usr/local/share/OpenCV/samples/c/fruits.jpg", /* 3-channel color image */ 1 );
  cvtColor(rgb, hsv, CV_BGR2HSV);
  morphologyEx(hsv, hsv2, MORPH_OPEN, getStructuringElement(MORPH_ELLIPSE, Size(1, 1) ) ) ;
  morphologyEx(hsv2, hsv3, MORPH_CLOSE, getStructuringElement(MORPH_ELLIPSE, Size(1, 1) ) ) ;
  cvtColor(hsv3, rgb3, CV_HSV2BGR);

  namedWindow( "Display Image", CV_WINDOW_AUTOSIZE | CV_WINDOW_FREERATIO );
  imshow( "Display Image", rgb3 );

  waitKey(0);

  return 0;
}

◆コンパイルコマンドの例

Linux の場合を示しています．

g++ -o a.out hoge.cc -I/usr/local/include/opencv2 -I/usr/local/include/opencv -L/usr/local/lib -lopencv_highgui -lopencv_imgproc -lopencv_core

◆ 実行結果の例 (OpenCV バージョン 2.4.6.1 で実行)

./a.out

Configure OpenCV 2.4 for Qt Creator on Ubuntu

Configure OpenCV 2.4 for Qt Creator on Ubuntu

First install Qt creator using Ubuntu Software Center

Open Qt Creator

File --> New file or project
Qt Widget Project --> Qt GUI Application --> Choose

Click Next for all.

Open .pro file and add the following lines

INCLUDEPATH += /usr/local/include/opencv
LIBS += -L/usr/local/lib
LIBS += -lopencv_core
LIBS += -lopencv_imgproc
LIBS += -lopencv_highgui
LIBS += -lopencv_ml
LIBS += -lopencv_video
LIBS += -lopencv_features2d
LIBS += -lopencv_calib3d
LIBS += -lopencv_objdetect
LIBS += -lopencv_contrib
LIBS += -lopencv_legacy
LIBS += -lopencv_flann
LIBS += -lopencv_nonfree

Save it.

Open .ui file.

Drag and drop a PushButton to window.
Click PushButton and chage the follwong properties

• objectName: btnDisplay
• text: Display

Right click PushButton --> Go to slot --> clicked() --> Ok

Include the following

#include <cv.h>
#include <highgui.h>

Add the following code

void MainWindow::on_btnDisplay_clicked()
{
    cv::namedWindow("Disp");
    cv::VideoCapture cap(0);
    cv::Mat frame;
    do{
        cap >> frame;
        imshow("Disp",frame);
    }while(cv::waitKey(30)<0);
    cv::destroyAllWindows();
}

Run it. You will see yourself on the screen, when you click Display button !!!

Install OpenCV in Ubuntu 12.04

Install OpenCV in Ubuntu 12.04

Copy the following script to gedit and save as opencv.sh . Open terminal.
chmox +x opencv.sh
./opencv.sh

This will complete opencv installation

arch=$(uname -m)
if [ "$arch" == "i686" -o "$arch" == "i386" -o "$arch" == "i486" -o "$arch" == "i586" ]; then
flag=1
else
flag=0
fi
echo "Installing OpenCV 2.4.3"
mkdir OpenCV
cd OpenCV
echo "Removing any pre-installed ffmpeg and x264"
sudo apt-get remove ffmpeg x264 libx264-dev
echo "Installing Dependenices"
sudo apt-get install libopencv-dev
sudo apt-get install build-essential checkinstall cmake pkg-config yasm
sudo apt-get install libtiff4-dev libjpeg-dev libjasper-dev
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev libxine-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev
sudo apt-get install python-dev python-numpy
sudo apt-get install libtbb-dev
sudo apt-get install libqt4-dev libgtk2.0-dev
echo "Downloading x264"
wget ftp://ftp.videolan.org/pub/videolan/x264/snapshots/x264-snapshot-20120528-2245-stable.tar.bz2
tar -xvf x264-snapshot-20120528-2245-stable.tar.bz2
cd x264-snapshot-20120528-2245-stable/
echo "Installing x264"
if [ $flag -eq 1 ]; then
./configure --enable-static
else
./configure --enable-shared --enable-pic
fi
make
sudo make install
cd ..
echo "Downloading ffmpeg"
wget http://ffmpeg.org/releases/ffmpeg-0.11.1.tar.bz2
echo "Installing ffmpeg"
tar -xvf ffmpeg-0.11.1.tar.bz2
cd ffmpeg-0.11.1/
if [ $flag -eq 1 ]; then
./configure --enable-gpl --enable-libfaac --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libtheora --enable-libvorbis --enable-libx264 --enable-libxvid --enable-nonfree --enable-postproc --enable-version3 --enable-x11grab
else
./configure --enable-gpl --enable-libfaac --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libtheora --enable-libvorbis --enable-libx264 --enable-libxvid --enable-nonfree --enable-postproc --enable-version3 --enable-x11grab --enable-shared
fi
make
sudo make install
cd ..
echo "Downloading v4l"
wget http://www.linuxtv.org/downloads/v4l-utils/v4l-utils-0.8.8.tar.bz2
echo "Installing v4l"
tar -xvf v4l-utils-0.8.8.tar.bz2
cd v4l-utils-0.8.8/
make
sudo make install
cd ..
echo "Downloading OpenCV 2.4.3"
wget -O OpenCV-2.4.3.tar.bz2 http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.3/OpenCV-2.4.3.tar.bz2/download
echo "Installing OpenCV 2.4.3"
tar -xvf OpenCV-2.4.3.tar.bz2
cd OpenCV-2.4.3
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE ..
make
sudo make install
sudo su
sudo echo “/usr/local/lib” >> /etc/ld.so.conf
sudo ldconfig
echo "OpenCV 2.4.3 ready to be used"

Special Thanks for the original writer. This is a little modified version of it

opecv 2.4.7

Ubuntu で OpenCV バージョン 2.4.7 のダウンロードとビルドとインストールを行うシェルスクリプト

楽をしたいのでシェルスクリプトを作りました。 Ubuntu で下記のシェルスクリプトを実行すると、 OpenCV バージョン 2.4.7 のダウンロードとビルドとインストールが行われます． Ubuntu 12.04 を用いて動作確認済みです．

※ １つ１つコマンドを入力したい（シェルスクリプトにしたくない）場合については、この Web ページの下で説明しています。

# 最初は前提ソフトウエアのインストール
sudo apt-get -yV install build-essential
#
cd /tmp; sudo apt-get source opencv
sudo apt-get -yV build-dep opencv 
# 
sudo apt-get -yV install libqt4-dev 
sudo apt-get -yV install libgtk2.0-dev 
sudo apt-get -yV install pkg-config 
#
sudo apt-get -yV install opencl-headers 
# 
sudo apt-get -yV install libgomp1
# 
sudo apt-get -yV install libjpeg-dev
sudo apt-get -yV install libopenjpeg-dev
sudo apt-get -yV install jasper
sudo apt-get -yV install libjasper-dev libjasper-runtime
sudo apt-get -yV install libpng12-dev
sudo apt-get -yV install libpng++-dev libpng3
sudo apt-get -yV install libpnglite-dev libpngwriter0-dev libpngwriter0c2
sudo apt-get -yV install libtiff-dev libtiff-tools pngtools
sudo apt-get -yV install zlib1g-dev zlib1g-dbg
sudo apt-get -yV install v4l2ucp
#
sudo apt-get -yV install python
sudo apt-get -yV install autoconf
sudo apt-get -yV install libtbb2 libtbb-dev
sudo apt-get -yV install libeigen2-dev
sudo apt-get -yV install cmake
sudo apt-get -yV install openexr
sudo apt-get -yV install gstreamer-plugins-*
sudo apt-get -yV install freeglut3-dev
sudo apt-get -yV install libglui-dev
sudo apt-get -yV install libavc1394-dev libdc1394-22-dev libdc1394-utils
# ビデオ関係のパッケージ 
sudo apt-get -yV install libxine-dev
sudo apt-get -yV install libxvidcore-dev 
sudo apt-get -yV install libva-dev
sudo apt-get -yV install libssl-dev
sudo apt-get -yV install libv4l-dev
sudo apt-get -yV install libvo-aacenc-dev
sudo apt-get -yV install libvo-amrwbenc-dev 
sudo apt-get -yV install libvorbis-dev 
sudo apt-get -yV install libvpx-dev

cd /tmp
# if [ ! -f OpenCV-2.4.7.tar.bz2 ]; then 
#     wget http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.7/OpenCV-2.4.7.tar.bz2
# fi 
wget https://github.com/Itseez/opencv/archive/2.4.7.tar.gz
mv 2.4.7.tar.gz OpenCV-2.4.7.tar.gz

sudo rm -rf OpenCV-2.4.7
tar -xvzof /tmp/OpenCV-2.4.7.tar.gz
cd opencv-2.4.7
cmake -DBUILD_SHARED_LIBS=OFF -DBUILD_DOCS=ON -DBUILD_EXAMPLES=ON -DCMAKE_BUILD_TYPE=RELEASE -DWITH_TBB=ON -DWITH_GTK=ON -DWITH_OPENGL=ON -DWITH_QT=ON -DINSTALL_C_EXAMPLES=ON -DWITH_OPENCL=OFF -DWITH_CUDA=OFF -DWITH_OPENNI=ON -DWITH_UNICAP=ON -DWITH_V4L=ON -DWITH_XINE=ON -DWITH_OPENEXR=ON -DBUILD_OPENEXR=ON .
make
sudo make install
sudo ldconfig

Install VirtualBox Guest Additions on Ubuntu 11.10 – 2D and 3D Unity

The latest Ubuntu 11.10 is released few weeks ago and having plenty of good reviews with claiming that this is the ever best Ubuntu release. I do not use Ubuntu OS, but whenever latest versions are released, I install them on VirtualBox or VMware to update my blog. Here is the small guide about install VirtualBox guest additions on Ubuntu 11.10 and get the most of the extra features. 2D Unity works fine but 3D did not work automatically for me, I think still it’s a compatibility issue with latest VirtualBox 4.1.4.

The complete installation steps of Ubuntu 11.10 on VirtualBox not covered here, it’s very easy to follow (Refer the earlier guide Ubuntu 10.10 on VirtualBox). Once the installation is completed, the next restart will land on Unity 2D desktop (which happened automatically for me), so you get Unity 2D in VirtualBox even before install guest additions. But, other extra features such as auto screen re-size and seamless mode are not enabled without guest additions.

Therefore, let’s install the virtualbox guest additions on Ubuntu 11.10 and get these extra display improvements and check the 3D unity.

3D acceleration in virtual machine setting is already enabled.

My main aim is to get Unity 3D in Ubuntu 11.10 with VirtualBox, so I tried to install guest additions in three methods,

1) Running and executing the script from built in VirtualBox Guest additions ISO.

2) Running following command in terminal. Make sure guest virtual machine can communicate to internet and download packages.

sudo apt-get update

sudo apt-get install virtualbox-ose-guest-utils

Idea source.

3) Executing following commands in Ubuntu 11.10 terminal with internet access.

sudo apt-get update

sudo apt-get install build-essential linux-headers-$(uname -r)

sudo apt-get install virtualbox-ose-guest-x11

This method used to install guest additions on Ubuntu 10.10 as shown in Sysprobs.

I did above three installation steps individually as doing from beginning (used snapshot feature to revert back virtual machine), but could not get 3D unity login option. Even though all three were succeeded and got extra features as shown below.

Restarting the virtual machine after every above installation steps landed on 2D unity only.

Now my question is, is this 3D Unity or should I get anything better then above screen (which is called 3D unity) ?

As per official conversation in VirtualBox forum, the latest VB 4.1.4 is still not supported for Ubuntu 11.10- click here to read.

How to Check 3D Unity Support

To check whether the virtual or physical machine can run Linux Ubuntu 3D unity, here is the command to check the compatibility, (Type the command and press Enter)

/usr/lib/nux/unity_support_test -p

Surprisingly Ubuntu 11.10 virtual machine returned the below result as 3D unity is supported.

But I’m sure 3D unity is currently not enabled in guest machine. So, I started 3D unity manually by following command,

unity --replace

Now, I could see the difference in desktop and 3D unity started working, even though the terminal screen started to throw some errors for each action.

How I can confirm it? pressing ALT+TAB is working like below which is part of 3D unity.

If you are great fan of Ubuntu and Oracle VirtualBox I’m sure this guide and my experience would be helpful  in some way. If there is a work around to make the 3D unity permanent without starting it manually, please share in comments area.