在所有conda环境中安装OpenCV [英] Installing OpenCV for all conda environments

问题描述

我有一个安装有Anaconda的Ubuntu 16.04系统.我想编译并安装OpenCV 3.3，并且还使用Python绑定.我使用了以下CMake命令:

I have an Ubuntu 16.04 system with an Anaconda installation. I want to compile and install OpenCV 3.3 and use also the Python bindings. I used the following CMake command:

cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_CUDA=ON -D D WITH_FFMPEG=1 -D WITH_CUBLAS=ON -D WITH_TBB=ON -D WITH_V4L=ON -D WITH_QT=ON -D WITH_OPENGL=ON -D INSTALL_PYTHON_EXAMPLES=ON -D INSTALL_C_EXAMPLES=OFF -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib-3.3.0/modules -D BUILD_EXAMPLES=ON -D BUILD_TIFF=ON -D PYTHON_EXECUTABLE=/home/guel/anaconda2/envs/py27/bin/python -D PYTHON2_LIBRARIES=/home/guel/anaconda2/envs/py27/lib/libpython2.7.so -D PYTHON2_PACKAGES_PATH=/home/guel/anaconda2/envs/py27/lib/python2.7/site-packages -DWITH_EIGEN=OFF -D BUILD_opencv_cudalegacy=OFF ..

cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_CUDA=ON -D D WITH_FFMPEG=1 -D WITH_CUBLAS=ON -D WITH_TBB=ON -D WITH_V4L=ON -D WITH_QT=ON -D WITH_OPENGL=ON -D INSTALL_PYTHON_EXAMPLES=ON -D INSTALL_C_EXAMPLES=OFF -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib-3.3.0/modules -D BUILD_EXAMPLES=ON -D BUILD_TIFF=ON -D PYTHON_EXECUTABLE=/home/guel/anaconda2/envs/py27/bin/python -D PYTHON2_LIBRARIES=/home/guel/anaconda2/envs/py27/lib/libpython2.7.so -D PYTHON2_PACKAGES_PATH=/home/guel/anaconda2/envs/py27/lib/python2.7/site-packages -DWITH_EIGEN=OFF -D BUILD_opencv_cudalegacy=OFF ..

该命令完成了工作，但是，当然，仅为我创建的特定conda环境安装了OpenCV.但是，我希望能够在不同的环境中使用它，而不必对每个环境都进行编译.有没有一种简单的方法可以实现这一目标?由于OpenCv库实际上是安装在/usr/local中的，因此我可以想象必须有一种简单的方法将这些库链接到每个新的conda环境，但是我不知道具体如何.

The command does the job but then, of course, OpenCV is installed only for a specific conda environment that I created. However, I want to be able to use it also from different environments without having to go through the compilation for each and every environment. Is there a way to achieve that in a simple way? Since the OpenCv libraries are actually installed in /usr/local, I can imagine that there must be a simple way to link the libraries to each new conda enviroment but I couldn't figure out exactly how.

推荐答案

OpenCV 3.3.您可能不需要编译自己.只需使用conda command将其安装到您的环境中即可.

OpenCV 3.3 for python 2.7 and 3.6 on linux are available from conda repository. You may not need to compile yourself. Just use conda command to install it to your environement.

查看此

1. https://anaconda.org/conda-forge/opencv 获取命令.
   • conda install -c conda-forge -n env opencv或
   • conda install -c conda-forge/label/broken -n env opencv
   • 其中env是您的conda virtual environment name

1. https://anaconda.org/conda-forge/opencv for the commands.
   • conda install -c conda-forge -n env opencv or
   • conda install -c conda-forge/label/broken -n env opencv
   • where env is your conda virtual environment name

希望获得帮助.

这篇关于在所有conda环境中安装OpenCV的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！