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05-Feb-2016 15:29 by 2 Comments

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Just below I am providing a simple program whose purpose is to display an image. Open CV - Display Image Sample (5735 downloads) Watch the demonstration video to see how it worked on my computer.

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Posted in October 15, 2014 In this article, we’ll see how to install the computer vision library Open CV 3.0.0 alpha, latest release, released two months ago (Ago 21, 2014) , on Ubuntu 14.04 LTS (Trusty Tahr) 64 bits.For those who already have installed previous releases, you’ll see that, basically, nothing has changed and it’s as easy as always. -- Ubuntu 14.04 LTS 64 bits or 32 bits installed and updated; As I wrote in the pre-requirements, is always nice to have your OS updated.Then, run apt-get update and apt-get upgrade before we really start.For those who already have it done, skip this and don’t forget to comment these lines from the script if you choose to use it.To install the dependencies required from Open CV, just run the following commands: sudo apt-get -y install libopencv-dev build-essential cmake git libgtk2.0-dev pkg-config python-dev python-numpy libdc1394-22 libdc1394-22-dev libjpeg-dev libpng12-dev libtiff4-dev libjasper-dev libavcodec-dev libavformat-dev libswscale-dev libxine-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev libtbb-dev libqt4-dev libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev libvorbis-dev libxvidcore-dev x264 v4l-utils unzip Now, we’ll install Open CV.Cmake command has a lot of options: choose those that better suit your needs and run the commands below.

If you’re planning to use Qt 5.x, don’t use -D WITH_QT=ON.Learn how to use Open CV 3 with Qt Creator 3.2 (Qt 5.3). If you do so, you’ll see that in addition to installing Open CV, the script will generate a log for you, to know how long did it take.[Update] According to one of the users that tested it on Ubuntu 14.10, you’ll need to use WITH_FFMPEG=OFF. At the end of this post you’ll see a demonstration video of the installation and test.[Update] cd opencv-3.0.0-alpha mkdir build cd build cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D WITH_V4L=ON -D WITH_QT=ON -D WITH_OPENGL=ON .. Script - Install Open CV 3.0.0 (18312 downloads) We will test to check if everything is working properly. The goal here is to prove that our Open CV installation was a success.make -j $(nproc) sudo make install After all is done I recommend rebooting your system. Doesn’t matter if I say you should do this way if it doesn’t work, right? I’m assuming you just restart your computer after you have performed the above steps or the given script. Worth saying that the commands below can be avoided by adding the options to build samples on the 3rd step of installation. The samples we’re going to run are the Face Detect and Hought Lines developed in C++.Note 1: If you’re using Open CV 3.0 beta, both images are inside “../data/” directory; Note 2: To close the window with Lenna, just press ENTER. Go on and run other samples; What about compiling something we made?

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