UBUNTU14 OpenCV python Installation

This document documents the process of manually installing OPENCV 3.0 using source code under Ubuntu 14.04. The method of installing and loading OpenCV in Python is also documented.

1. Install OpenCV required libraries (compilers, required libraries, optional libraries)

GCC 4.4.x or later
CMake 2.6 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

[Compiler] sudo apt-get install build-essential
[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-d EV Libdc1394-22-dev

2, download the latest OpenCV source (more than 2.4) from the official website http://sourceforge.net/projects/opencvlibrary/

or GitHub.

======================2016.8.13 Update ===================

Encounter a problem like this:

/usr/bin/ld: /usr/local/lib/libavcodec.a(avpacket.o): relocation R_X86_64_32 against `.rodata.str1.1‘ can not be used when making a shared object; recompile with -fPIC/usr/local/lib/libavcodec.a: could not read symbols: Bad value

Need to compile FFmpeg plus shared options

sudo apt-get remove ffmpeg

./configure--ENABLE-GPL--ENABLE-LIBFAAC--enable-libmp3lame--enable-libopencore-amrnb--ENABLE-LIBOPENCORE-AMRWB --enable-libtheora--enable-libvorbis--enable-libxvid--enable-nonfree--enable-postproc--enable-version3-- Enable-x11grab--enable-shared--enable-pic

Make-j16

sudo make install

======================================================
3. Compiling OPENCV

Put OpenCV into any directory, unzip

Unzip Opencv-3.0.0-rc1.zip

Create a compiled directory, compile

CD ~/OPENCV-3.0.0-RC1
mkdir Release
CD release

cmake-d with_cuda=on-d cmake_build_type=release-d cmake_install_prefix=/net/wanggu/local.

(Recommended with Ccmake. ) More options can be manually configured, such as Cmake_install_prefix, "cuda_generation" = Auto)

-----------------------

Cmake_install_prefix/net/wanggu/software/opencv-master/install

Problems with Cuda:

Cuda_generation Auto

-----------------

(2016.8.24 Update)

Nonfree contains features2d, to enable

in the opencv3.x, you should first download Https://github.com/opencv/opencv_contrib

Then Ccmake.

Set the following:

Opencv_enable_nonfree on

Opencv_extra_modules_path/net/wanggu/software/opencv-master/opencv_contrib/modules

----------------

/usr/local change to other, or sudo permissions.

(Opencv-3.0.0-alpha This version is not reliable)

check python for any detection and location
Make-j8
sudo make install-j8

-----------------------------------

Add the Python environment variable for CV to. BASHRC

Export Cvpath=/usr/local/lib/python2.7/site-packages

Export pythonpath= $CVPATH: $PYTHONPATH

(may also be dist-packages) The dist inside the server is 3.0.0site inside is 2.4.10 contains cv2.so and cv.py-------------------because the OpenCV version under the USR directory is often changed, so cvpath points to their anaconda Package under/home/wanggu/anaconda/lib Find yourself compiled cv2.so (in Release/lib) and cv.py (OPENCV-2.4.13/MODULES/PYTHON/SRC2), then copy into/ Home/wanggu/anaconda/lib. -------------------
To view the installed version of OPENCVPkg-Config --modversionOpenCV

=============================python3 anaconda3 ubuntu Opencv3:conda install-c Https://conda.binstar.org/menpo Openc V3
========================
4. Test OpenCV

1) Create a working directory

mkdir ~/opencv-lena
CD ~/opencv-lena
Gedit DisplayImage.cpp

2) Edit the following code

#include <stdio.h>
#include <opencv2/opencv.hpp>

using namespace CV;

int main (int argc, char** argv)
{
if (argc! = 2)
{
printf ("Usage:DisplayImage.out <image_path>\n");
return-1;
}

Mat image;
Image = Imread (argv[1], 1);

if (!image.data)
{
printf ("No image data \ n");
return-1;
}
Namedwindow ("Display Image", window_autosize);
Imshow ("Display Image", image);

Waitkey (0);

return 0;
}

3) Create CMake compilation file

Gedit CMakeLists.txt

Write the following:

Cmake_minimum_required (VERSION 2.8)
Project (DisplayImage)
Find_package (OpenCV REQUIRED)
Add_executable (DisplayImage DisplayImage.cpp)
Target_link_libraries (DisplayImage ${opencv_libs})

4) Compiling

CD ~/opencv-lena
CMake.
Make

5) execution

At this time the Opencv-lena folder has produced the executable file displayimage, download lena.jpg placed under Opencv-lena, run

./displayimage lena.jpg

6) Results

5, Installation Python-opencv

Can be installed directly using apt

sudo apt-get install PYTHON-OPENCV
sudo apt-get install Python-numpy

Test:

Open the Python,import CV module to succeed.

Import CV

Import Cv2

Related articles:
Ubuntu 12.04 Install OpenCV 2.3.1, image binary: http://www.linuxdiyf.com/linux/8615.html

QT/QT Creator Add OPENCV configuration in Linux environment: http://www.linuxdiyf.com/linux/9314.html

Install OpenCv2.1 Nine steps in Ubuntu: http://www.linuxdiyf.com/linux/9848.html

From Wiznote

UBUNTU14 OpenCV python Installation