OpenCV supports a number of image manipulation libraries that will make your life a lot easier. Step 4: Install image manipulation libraries $ sudo apt-get install libgtkglext1 libgtkglext1-dev To use GTK as a back-end, run the following: To use Qt as a back-end, run the following: The library can either be powered with Qt or with the GIMP Toolkit (GTK). OpenCV uses a library called HighGUI (which stands for "high-level graphical user interface") to open windows, display images, read and write images and videos, handle mouse and pointer events, etc. Step 3: Install GUI libraries and OpenGL extensions $ sudo apt-get install python-dev python-numpy It's a good idea to include the ubiquitous NumPy and SciPy packages as there is almost no way you are going to use OpenCV-Python without them. In order to use OpenCV with Python, you need to have Python installed (duh). $ sudo apt-get install build-essential cmake pkg-config cmake manages the build process of OpenCV.
#Conda install opencv 3 software#
pkg-config is needed to compile software from its source code. build-essential is a reference for all the packages needed to compile a debian package. You also want to make sure you have the necessary build tools installed. First you want to make sure that you have the latest packages installed: If you want to install OpenCV from scratch, this is where you start. For example, user trung has OpenCV 3.1.0 for linux-64 and win-64:
Simply pick one from the list that works for your platform. This will bring up a whole list of packages, each of which will list the exact version, the platform, and the user who has the package installed. If you get a "package not found" error, run an anaconda search: $ anaconda search -t opencv.Install OpenCV2: $ conda install opencv Or install OpenCV3: $ conda install opencv3.Activate the environment: $ source activate opencv.$ conda create -n opencv numpy scipy matplotlib python=3. Create a new conda environment called "opencv" that will contain all necessary modules.Open up a terminal / command prompt (possibly with administrator rights).If you're not going to need any of the optional OpenCV modules and plugins below, there is probably no need to install OpenCV from source.
#Conda install opencv 3 how to#
The following guide will show you how to install OpenCV 3.1 for Python with all its fancy options on Ubuntu 14.04 LTS (either via conda or from source) in ten easy steps! ( Step 0: Consider using the Python Anaconda distribution )Īctually the easiest way to install OpenCV is via the Python Anaconda distribution.
#Conda install opencv 3 code#
Installing OpenCV can quickly turn into a nightmare, especially if you want to use either the latest code base or some non-standard options (such as features from the opencv_contrib repository or OpenNI support for depth sensors such as Microsoft Kinect). OpenCV 3.1 was just released a few weeks ago and features a wealth of new features, aggregated from GitHub community members, students and mentors, as well as the Google Summer of Code.
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