![]() Now we can see the python path from jupyter notebook.ĭuring a different installation, I come across a problem: “ImportError: No module named cv2.” And I solved my issue using the following command: $ conda install opencvĪnd it works on terminal and notebook both. To uninstall Anaconda open a terminal window and remove the entire anaconda install directory: rm -rf /anaconda.You may also edit /.bashprofile and remove the anaconda directory from your PATH environment variable, and remove the hidden. To save and exit, press Escape and type: :wq Operating system: Windows 10 or newer, 64-bit macOS 10.13+, or Linux, including Ubuntu, RedHat, CentOS 7+, and others. Press i to insert and add this line: export PYTHONPATH=$PYTHONPATH:/home/ehumss/Applications/anaconda2/envs/geospatial-2/lib/python2.7/site-packages License: Free use and redistribution under the terms of the EULA for Anaconda Distribution. bashrc file to make jupyter notebook see the python path. We need to add anaconda2/envs/geospatial/lib/python2.7/site-packages to the. įirst, activate the environment, then type python. Type the command inside release: $ sudo cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D BUILD_NEW_PYTHON_SUPPORT=ON -D BUILD_EXAMPLES=ON. $ sudo apt-get install python2.7-dev python3.5-devĮxtract and install OpenCV. $ sudo apt-get install libatlas-base-dev gfortran Step 2:Copy the package to home folder and Enter the following to install Anaconda for Python 3.6: Step 3:The installer prompts. Before downloading the installation script you should check the Anaconda Download page for a new version. ![]() At the time of the writing of this article the latest version of Anaconda is 5.2.0. On a new Ubuntu 16.04 LTS installation, I had to install to. ![]() $ sudo apt-get install libxvidcore-dev libx264-dev Step 1:In your browser, download the Anaconda installer for Linux. The recommended approach to install Anaconda on Ubuntu 16.04 is to download the install script, verify the script integrity and then run the script. After downloading the wheels, they can be installed on the Windows command line using pip again. $ sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev $ sudo apt-get install libjpeg8-dev libtiff5-dev libjasper-dev libpng12-dev $ sudo apt-get install build-essential cmake pkg-config Let’s activate the environment called: geospatial and install Python packages and system requirements inside the environment.
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