Installing Open. CV 2. Ubuntu 1. 1. 0. 4 Sebastian Montabone. UPDATE You can also install Open. CV 3. 2. 0 in Ubuntu 1. Installing Libavcodec Windows' title='Installing Libavcodec Windows' />LTS. Many people have used my previous tutorial about installing Open. CV 2. 1 in Ubuntu 9. In the comments of that post, I noticed great interest for using Open. CV with Python and the Intel Threading Building Blocks TBB. Since new versions of Open. CV and Ubuntu are available, I decided to create a new post with detailed instructions for installing the latest version of Open. CV, 2. 2, in the latest version of Ubuntu, 1. ProDelphi_3.png' alt='Installing Libavcodec Windows' title='Installing Libavcodec Windows' />Python and TBB support. First, you need to install many dependencies, such as support for reading and writing image files, drawing on the screen, some needed tools, etc This step is very easy, you only need to write the following command in the Terminal. Now we need to get and compile the ffmpeg source code so that video files work properly with Open. CV. This section is partially based on the method discussed here. The next step is to get the Open. CV 2. 2 code. wget http downloads. Open. CV 2. 2. 0. Open. CV 2. 2. 0. Open. CV 2. 2. 0. Now we have to generate the Makefile by using cmake. In here we can define which parts of Open. CV we want to compile. Since we want to use Python and TBB with Open. CV, here is where we set that. MZf.png' alt='Installing Libavcodec Windows' title='Installing Libavcodec Windows' />Just execute the following line at the console to create the appropriate Makefile. Note that there is a dot at the end of the line, it is an argument for the cmake program and it means current directory. D WITHTBBON D BUILDNEWPYTHONSUPPORTON D WITHV4. LOFF D INSTALLCEXAMPLESON D INSTALLPYTHONEXAMPLESON D BUILDEXAMPLESON. Check that the above command produces no error and that in particular it reports FFMPEG as 1. Download FFDShow MPEG4 Video Decoder 20140929 FFDShow is a DirectShow decoding filter which decompresses a wide range of media files. Some codecs e. g. H. 264 are not installed Some distributions will omit codecs that have patent issues, but allow you to install them as a separate package. This page provides instructions for installing and updating Audacity on Windows computer platforms. In addition to basic Audacity you may wish to install the optional. Pupil Docs user and developer documentation for Pupil eye tracking system. Changelogs for KLite Codec Pack Full. The changlogs below contain a list of changes to the codec pack. It does not contain full details about changes to individual. Apple ProRes is a lossy video compression format developed by Apple Inc. K. It is the successor of the Apple. FFmpeg is a complete solution to record, convert, edit and stream audio and video. It is a command line video software for Windows, Mac and Linux. FFmpeg can make use of the kvazaar library for HEVC encoding. Go to httpsgithub. If this is not the case you will not be able to read or write videos. Also, check that Python reports ON and Python numpy reports YES. Also, check that under Use TBB it says YES. If anything is wrong, go back, correct the errors by maybe installing extra packages and then run cmake again. You should see something similar to this Now, you are ready to compile and install Open. CV 2. 2. sudo make install. Now you have to configure Open. CV. First, open the opencv. Add the following line at the end of the fileit may be an empty file, that is ok and then save it. Run the following code to configure the library. Now you have to open another file. Add these two lines at the end of the file and save it. PKGCONFIGPATHPKGCONFIGPATH usrlocallibpkgconfig. PKGCONFIGPATH. Finally, close the console and open a new one, restart the computer or logout and then login again. Open. CV will not work correctly until you do this. There is a final step to configure Python with Open. CV. You need to copy the file cv. You can do that by just executing the following command. Now you have Open. CV 2. 2 installed in your computer with Python and TBB support. Lets check some demos included in Open. CV. First, lets see some C demos. Open. CV 2. 2. 0samplesc. Some of the training data for object detection is stored in usrlocalshareopencvhaarcascades. You need to tell Open. CV which training data to use. I will use one of the frontal face detectors available. Lets find a face. Note the scale parameter. It allows you to increase or decrease the size of the smallest object found in the image faces in this case. Smaller numbers allows Open. CV to find smaller faces, which may lead to increasing the number of false detections. Also, the computation time needed gets larger when searching for smaller objects. You can also detect smaller objects that are inside larger ones. For example you can search for eyes inside any detected face. You can do that with the nested cascade parameter. Feel free to experiment with other features like mouth or nose for example using the corresponding cascades provided in the haarcascades directory. Now lets check some C demos. Open. CV 2. 2. 0samplescpp. Now all the C demos are built in Open. CV 2. 2. 0bin. Lets see a couple of them. For example, a simulated chessboard calibration. Open. CV 2. 2. 0bincalibrationartificial. In Open. CV 2. 2, the grabcut algorithm is provided as a C sample. This is a very nice segmentation algorithm that needs very little user input to segment the objects in the image. For using the demo, you need to select a rectangle of the area you want to segment. Then, hold the Control key and left click to select the background in Blue. After that, hold the Shift key and left click to select the foreground in Red. Then press the n key to generate the segmentation. You can press n again to continue to the next iteration of the algorithm. Open. CV 2. 2. 0bingrabcut Open. CV 2. 2. 0samplescpplena. This image shows the initial rectangle for defining the object that I want to segment. Now I roughly set the foreground red and background blue. When you are ready, press the n key to run the grabcut algorithm. This image shows the result of the first iteration of the algorithm. Now lets see some background subtraction from a video. The original video shows a hand moving in front of some trees. Open. CV allows you to separate the foreground hand from the background trees. Open. CV 2. 2. 0binbgfgsegm Open. CV 2. 2. 0samplesctree. And finally, lets see Python working with Open. CV. cd Open. CV 2. Lets run the kmeans. This script starts with randomly generated 2. D points and then uses a clustering method called k means. Each cluster is presented in a different color. Now lets see the convexhull. This algorithm basically calculates the smallest convex polygon that encompasses the data points. Python scripts can also be executed directly like the following example. This script reads a video file. Have fun with Open. CV in C, C or Python. Installing Open. CV 3. Ubuntu 1. 4. 0. 4 Rodrigo Berriel. Posted in October 1. In this article, well see how to install the computer vision library Open. CV 3. 0. 0 alpha, latest release, released two months ago Ago 2. Ubuntu 1. 4. 0. 4 LTS Trusty Tahr 6. For those who already have installed previous releases, youll see that, basically, nothing has changed and its as easy as always. Watch the demonstration video to see how it works. Notes Tested on Ubuntu 1. LTS 6. 4 bits and 3. Amazon EC2 Ubuntu 1. Thanks to all users that tested this script on their system and gave me a feedback Really thanks  Tested on release 3. Open. CV A Dockerfile is also provided by TJ Borromeo Thanks used in Open. CV bindings for node. Pre requirements Ubuntu 1. LTS 6. 4 bits or 3. Lets get it startedAs 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 dont forget to comment these lines from the script if you choose to use it. Install the Dependencies. To install the dependencies required from Open. CV, just run the following commands sudo apt get y install libopencv dev build essential cmake git libgtk. Download Open. CV 3. You can download manually or run the commands below to get Open. CV mkdir opencv. Itseezopencvarchive3. O opencv 3. 0. 0 alpha. Install Open. CVNow, well install Open. CV. Cmake command has a lot of options choose those that better suit your needs and run the commands below. If youre planning to use Qt 5. D WITHQTON. Learn how to use Open. CV 3 with Qt Creator 3. Qt 5. 3. Update According to one of the users that tested it on Ubuntu 1. WITHFFMPEGOFF. Update BUILDNEWPYTHONSUPPORT is no longer used. D CMAKEBUILDTYPERELEASE D CMAKEINSTALLPREFIXusrlocal D WITHTBBON D WITHV4. LON D WITHQTON D WITHOPENGLON. Finishing installation. To get Open. CV working properly, we need to tell Ubuntu sudo binbash c echo usrlocallib etcld. After all is done I recommend rebooting your system. Done Then, you might be wondering So, thats it Yes If you prefer, you can download the script below. If you do so, youll see that in addition to installing Open. CV, the script will generate a log for you, to know  how long did it take. At the end of this post youll see a demonstration video of the installation and test. Script Install Open. CV 3. 0. 02. 43. Lets test it We will test to check if everything is working properly. Doesnt matter if I say you should do this way if it doesnt work, right Come on Im assuming you just restart your computer after you have performed the above steps or the given script. Running an Open. CV sample. First of all, we need to compile the samples. Worth saying that the commands below can be avoided by adding the options to build samples on the 3rd step of installation. Now you can run a sample. I chose two, but feel free to run any other. The goal here is to prove that our Open. CV installation was a success. The samples were going to run are the Face. Detect and Hought. Lines developed in C. Full Version Horror Games To. Open. CV 3. 0 beta. Open. CV 3. 0 beta. Note 1 If youre using Open. CV 3. 0 beta, both images are inside . Note 2 To close the window with Lenna, just press ENTER. The same to finish Hough. Lines. Go on and run other samples 2nd test  Running our own program. What about compiling something we made Just below I am providing a simple program whose purpose is to display an image. Unzip it and run the commands below inside the folder you just created. Display. Image lena. If everything went right, youll see Lenna. Press ENTER to close. Open. CV Display. Image Sample7. 77. Watch the demonstration video to see how it worked on my computer. I chose to run the script. We did it Open. CV installed and tested. Questions Leave your comment or get in touch by email. Test setup Intel Core i. GHz 4. GB of RAM 1.