This post is based on these tutorials,which have enough information to get the build working:
https://alexsm.com/building-opencv-with-conda/ https://docs.opencv.org/master/d2/de6/tutorial_py_setup_in_ubuntu.html
Dependencies
First, install the dependencies need for opencv (more information on the opencv tutotrial above):>sudo apt-get install cmake
>sudo apt-get install gcc g++
>sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev
>sudo apt-get install libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev
>sudo apt-get install libgtk2.0-dev
>sudo apt-get install libgtk-3-dev
Creating conda environment
Create and enable a new conda environment with the wanted python version and numpy:
>conda create -n opencv_build python=3.6 numpy
>conda activate opencv_build
Get source code
Make a folder and clone the opencv and contrib git:>mkdir opencv_install
>cd opencv_install
>cd opencv_install
>git clone https://github.com/opencv/opencv.git
>git clone https://github.com/opencv/opencv_contrib.git
If you want some specific version do the checkout, otherwise skip the commands bellow:
>cd opencv; git checkout 3.4.1 >cd ../opencv_contrib; git checkout 3.4.1
>cd .. # in opencv_install
Check paths inside conda
It is good to check the correct environment path before building. With the environment activated:
>conda info
You should see something like this:
active environment : opencv_build
active env location : /home/jairo/anaconda3/envs/opencv_build
shell level : 1
user config file : /home/jairo/.condarc
populated config files : /home/jairo/.condarc
conda version : 4.6.11
conda-build version : 3.17.8
python version : 3.7.3.final.0
base environment : /home/jairo/anaconda3 (writable)
channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/free/linux-64
https://repo.anaconda.com/pkgs/free/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
package cache : /home/jairo/anaconda3/pkgs
/home/jairo/.conda/pkgs
envs directories : /home/jairo/anaconda3/envs
/home/jairo/.conda/envs
platform : linux-64
user-agent : conda/4.6.11 requests/2.21.0 CPython/3.7.3 Linux/4.15.0-66-generic ubuntu/16.04.6 glibc/2.23
UID:GID : 1000:1000
netrc file : None
offline mode : False
You need to take note of the active env location. Is this case is /home/jairo/anaconda3/envs/opencv_build.
Check the path for python executable in the active enviroment::
>which python
/home/jairo/anaconda3/envs/opencv_build/bin/python
Take note of these 2 paths.
Create make file
Create the xcmake.sh file in the opencv_install folder. Remember to update the CONDA_ENV_PATH and CONDA_PYTHON_PATH with the information above:CONDA_ENV_PATH=/home/jairo/anaconda3/envs/opencv_build
CONDA_PYTHON_PATH=/home/jairo/anaconda3/envs/opencv_build/bin/python
WHERE_OPENCV=../opencv
WHERE_OPENCV_CONTRIB=../opencv_contrib
cmake -D CMAKE_BUILD_TYPE=RELEASE \
-D CMAKE_INSTALL_PREFIX=/usr/local \
-D PYTHON3_EXECUTABLE=$CONDA_PYTHON_PATH \
-D INSTALL_C_EXAMPLES=ON \
-D INSTALL_PYTHON_EXAMPLES=ON \
-D OPENCV_EXTRA_MODULES_PATH=$WHERE_OPENCV_CONTRIB/modules \
-D BUILD_EXAMPLES=ON $WHERE_OPENCV
Prepare for building
Create the folder build inside the opencv_install:
>mkdir build
>cd build
>../xcmake.sh
You should get something like this if everything is correct:
-- Python 2:
-- Interpreter: /usr/bin/python2.7 (ver 2.7.12)
-- Libraries: /usr/lib/x86_64-linux-gnu/libpython2.7.so (ver 2.7.12)
-- numpy: /home/jairo/.local/lib/python2.7/site-packages/numpy/core/include (ver 1.16.5)
-- install path: lib/python2.7/dist-packages/cv2/python-2.7
--
-- Python 3:
-- Interpreter: /home/jairo/anaconda3/envs/opencv_build/bin/python (ver 3.6.9)
-- Libraries: /home/jairo/anaconda3/envs/opencv_build/lib/libpython3.6m.so (ver 3.6.9)
-- numpy: /home/jairo/.local/lib/python3.6/site-packages/numpy/core/include (ver 1.17.3)
-- install path: lib/python3.6/site-packages/cv2/python-3.6
--
-- Python (for build): /home/jairo/anaconda3/envs/opencv_build/bin/python
--
-- Java:
-- ant: NO
-- JNI: NO
-- Java wrappers: NO
-- Java tests: NO
--
-- Install to: /home/jairo/anaconda3/envs/opencv_build
-- -----------------------------------------------------------------
You want to make sure the Python(for build) and Install to folders are correct and inside your conda environment.
Build it
If everything is fine, make it. In the build folder:>make -j4
-j4 is a flag for paralel processing. You can remove it if you see any problem.
Install it
>sudo make install
>sudo ldconfig
Test it
Run python and type:
>python
>import cv2
>cv2.__version__
You should see the opencv version installed.
In case of problem you need to check the paths, usually the problem is wrong paths. Check the paths where python is looking for modules (always with the environment activated):
Run python and type:
>python
>import sys
>print ('\n'.join(sys.path))
/home/jairo/anaconda3/envs/opencv_build/lib/python36.zip
/home/jairo/anaconda3/envs/opencv_build/lib/python3.6
/home/jairo/anaconda3/envs/opencv_build/lib/python3.6/lib-dynload
/home/jairo/.local/lib/python3.6/site-packages
/home/jairo/anaconda3/envs/opencv_build/lib/python3.6/site-packages
This will show the folders python is looking for the modules. If they are different from the specified on the build process the installation will fail.
Using the binary in another environment
To use this binary in other environment you should copy the cv2 folder to the respective folder. In this case the folder is located at /home/jairo/anaconda3/envs/opencv_build/lib/python3.6/sites-packages/cv2, and you should copy it to the new environment (change the opencv_build to the name of the new environment already create).
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