Opencv установка python linux

Как установить OpenCV в Ubuntu 20.04

OpenCV (Open Source Computer Vision Library) — это библиотека компьютерного зрения с открытым исходным кодом с привязками для C ++, Python и Java, поддерживающая все основные операционные системы. Он может использовать преимущества многоядерной обработки и ускорения графического процессора для работы в реальном времени.

OpenCV используется для широкого спектра приложений, включая анализ медицинских изображений, сшивание изображений улиц, видеонаблюдение, обнаружение и распознавание лиц, отслеживание движущихся объектов, извлечение 3D-моделей и многое другое.

В этой статье описывается, как установить OpenCV в Ubuntu 20.04. Чтобы установить последнюю стабильную версию OpenCV из исходного кода, прокрутите вниз до раздела « Установка OpenCV из исходного кода » этого руководства. Выберите наиболее удобный для вас способ установки.

Установка OpenCV из репозитория Ubuntu

OpenCV доступен для установки из репозиториев Ubuntu 20.04 по умолчанию. Для его установки выполните:

sudo apt updatesudo apt install libopencv-dev python3-opencv

Приведенная выше команда установит все пакеты, необходимые для запуска OpenCV.

Проверьте установку, импортировав модуль cv2 и распечатав версию OpenCV:

python3 -c "import cv2; print(cv2.__version__)"

На момент написания в репозиториях стоит версия 4.2:

Установка OpenCV из исходного кода

Сборка библиотеки OpenCV из исходного кода позволяет получить самую последнюю доступную версию. Он будет оптимизирован для вашей конкретной системы, и вы получите полный контроль над параметрами сборки. Это рекомендуемый способ установки OpenCV.

Выполните следующие шаги, чтобы установить последнюю версию OpenCV из источника:

sudo apt install build-essential cmake git pkg-config libgtk-3-dev libavcodec-dev libavformat-dev libswscale-dev libv4l-dev libxvidcore-dev libx264-dev libjpeg-dev libpng-dev libtiff-dev gfortran openexr libatlas-base-dev python3-dev python3-numpy libtbb2 libtbb-dev libdc1394-22-dev libopenexr-dev libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev

mkdir ~/opencv_build && cd ~/opencv_build git clone https://github.com/opencv/opencv.git git clone https://github.com/opencv/opencv_contrib.git

cd ~/opencv_build/opencv mkdir -p build && cd build

cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D OPENCV_GENERATE_PKGCONFIG=ON -D OPENCV_EXTRA_MODULES_PATH=~/opencv_build/opencv_contrib/modules -D BUILD_EXAMPLES=ON ..

-- Configuring done -- Generating done -- Build files have been written to: /home/vagrant/opencv_build/opencv/build

pkg-config --modversion opencv4

python3 -c "import cv2; print(cv2.__version__)"

Выводы

Мы показали вам два разных способа установки OpenCV на ваш компьютер с Ubuntu 20.04. Выбор метода зависит от ваших требований и предпочтений. Несмотря на то, что установить упакованную версию из репозитория Ubuntu проще, сборка OpenCV из исходного кода дает вам больше гибкости, и это должно быть вашим первым вариантом при установке OpenCV.

Если у вас есть какие-либо вопросы или отзывы, не стесняйтесь оставлять комментарии ниже.

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Opencv установка python linux

In this tutorial We will learn to setup OpenCV-Python in Ubuntu System. Below steps are tested for Ubuntu 16.04 and 18.04 (both 64-bit).

OpenCV-Python can be installed in Ubuntu in two ways:

• Install from pre-built binaries available in Ubuntu repositories
• Compile from the source. In this section, we will see both.

Another important thing is the additional libraries required. OpenCV-Python requires only Numpy (in addition to other dependencies, which we will see later). But in this tutorials, we also use Matplotlib for some easy and nice plotting purposes (which I feel much better compared to OpenCV). Matplotlib is optional, but highly recommended. Similarly we will also see IPython, an Interactive Python Terminal, which is also highly recommended.

Installing OpenCV-Python from Pre-built Binaries

This method serves best when using just for programming and developing OpenCV applications.

Install package python3-opencv with following command in terminal (as root user).

Open Python IDLE (or IPython) and type following codes in Python terminal.

If the results are printed out without any errors, congratulations . You have installed OpenCV-Python successfully.

It is quite easy. But there is a problem with this. Apt repositories may not contain the latest version of OpenCV always. For example, at the time of writing this tutorial, apt repository contains 2.4.8 while latest OpenCV version is 3.x. With respect to Python API, latest version will always contain much better support and latest bug fixes.

So for getting latest source codes preference is next method, i.e. compiling from source. Also at some point in time, if you want to contribute to OpenCV, you will need this.

Building OpenCV from source

Compiling from source may seem a little complicated at first, but once you succeeded in it, there is nothing complicated.

First we will install some dependencies. Some are required, some are optional. You can skip optional dependencies if you don’t want.

Required build dependencies

We need CMake to configure the installation, GCC for compilation, Python-devel and Numpy for building Python bindings etc.

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Opencv установка python linux

The following steps have been tested for Ubuntu 10.04 but should work with other distros as well.

Required Packages

• GCC 4.4.x or later
• CMake 2.8.7 or higher
• Git
• GTK+2.x or higher, including headers (libgtk2.0-dev)
• pkg-config
• Python 2.6 or later and Numpy 1.5 or later with developer packages (python-dev, python-numpy)
• ffmpeg or libav development packages: libavcodec-dev, libavformat-dev, libswscale-dev
• [optional] libtbb2 libtbb-dev
• [optional] libdc1394 2.x
• [optional] libjpeg-dev, libpng-dev, libtiff-dev, libjasper-dev, libdc1394-22-dev
• [optional] CUDA Toolkit 6.5 or higher

The packages can be installed using a terminal and the following commands or by using Synaptic Manager:

[required] sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev [optional] sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev

Getting OpenCV Source Code

You can use the latest stable OpenCV version or you can grab the latest snapshot from our Git repository.

Getting the Latest Stable OpenCV Version

Getting the Cutting-edge OpenCV from the Git Repository

Launch Git client and clone OpenCV repository. If you need modules from OpenCV contrib repository then clone it as well.

Building OpenCV from Source Using CMake

1. Create a temporary directory, which we denote as , where you want to put the generated Makefiles, project files as well the object files and output binaries and enter there. For example

• set full path to OpenCV source code, e.g. /home/user/opencv
• set full path to , e.g. /home/user/opencv/build
• set optional parameters
• run: “Configure”
• run: “Generate”

• build type: CMAKE_BUILD_TYPE=Release\Debug
• to build with modules from opencv_contrib set OPENCV_EXTRA_MODULES_PATH to
• set BUILD_DOCS for building documents
• set BUILD_EXAMPLES to build all examples

• PYTHON2(3)_EXECUTABLE =
• PYTHON_INCLUDE_DIR = /usr/include/python
• PYTHON_INCLUDE_DIR2 = /usr/include/x86_64-linux-gnu/python
• PYTHON_LIBRARY = /usr/lib/x86_64-linux-gnu/libpython.so
• PYTHON2(3)_NUMPY_INCLUDE_DIRS = /usr/lib/python/dist-packages/numpy/core/include/

• Unset parameter: BUILD_SHARED_LIBS
• It is useful also to unset BUILD_EXAMPLES, BUILD_TESTS, BUILD_PERF_TESTS — as they all will be statically linked with OpenCV and can take a lot of memory.

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Install OpenCV3 on Ubuntu

In this post, we will provide step by step instructions for installing OpenCV 3 (C++ and Python) on Ubuntu.

If you are still not able to install OpenCV on your system, but want to get started with it, we suggest using our docker images with pre-installed OpenCV, Dlib, miniconda and jupyter notebooks along with other dependencies as described in this post.
You can also use our Installation Script for OpenCV-3 and OpenCV-4 for Ubuntu 16.04 as described in this article.

Step 1: Update packages

sudo apt-get update sudo apt-get upgrade

Step 2: Install OS libraries

Remove any previous installations of x264 sudo apt-get remove x264 libx264-dev We will Install dependencies now sudo apt-get install build-essential checkinstall cmake pkg-config yasm sudo apt-get install git gfortran sudo apt-get install libjpeg8-dev libjasper-dev libpng12-dev # If you are using Ubuntu 14.04 sudo apt-get install libtiff4-dev # If you are using Ubuntu 16.04 sudo apt-get install libtiff5-dev sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev sudo apt-get install libxine2-dev libv4l-dev sudo apt-get install libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev sudo apt-get install qt5-default libgtk2.0-dev libtbb-dev sudo apt-get install libatlas-base-dev sudo apt-get install libfaac-dev libmp3lame-dev libtheora-dev sudo apt-get install libvorbis-dev libxvidcore-dev sudo apt-get install libopencore-amrnb-dev libopencore-amrwb-dev sudo apt-get install x264 v4l-utils # Optional dependencies sudo apt-get install libprotobuf-dev protobuf-compiler sudo apt-get install libgoogle-glog-dev libgflags-dev sudo apt-get install libgphoto2-dev libeigen3-dev libhdf5-dev doxygen

Step 3: Install Python libraries

sudo apt-get install python-dev python-pip python3-dev python3-pip sudo -H pip2 install -U pip numpy sudo -H pip3 install -U pip numpy

We will use Virtual Environment to install Python libraries. It is generally a good practice in order to separate your project environment and global environment.

# Install virtual environment sudo pip2 install virtualenv virtualenvwrapper sudo pip3 install virtualenv virtualenvwrapper echo "# Virtual Environment Wrapper" >> ~/.bashrc echo "source /usr/local/bin/virtualenvwrapper.sh" >> ~/.bashrc source ~/.bashrc ############ For Python 2 ############ # create virtual environment mkvirtualenv facecourse-py2 -p python2 workon facecourse-py2 # now install python libraries within this virtual environment pip install numpy scipy matplotlib scikit-image scikit-learn ipython # quit virtual environment deactivate ###################################### ############ For Python 3 ############ # create virtual environment mkvirtualenv facecourse-py3 -p python3 workon facecourse-py3 # now install python libraries within this virtual environment pip install numpy scipy matplotlib scikit-image scikit-learn ipython # quit virtual environment deactivate ######################################

Step 4: Download OpenCV and OpenCV_contrib

We will download opencv and opencv_contrib packages from their GitHub repositories.

Step 4.1: Download opencv from Github

git clone https://github.com/opencv/opencv.git cd opencv git checkout 3.3.1 cd ..

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