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- #INSTALL JUPYTER UBUNTU 16.04 HOW TO#
- #INSTALL JUPYTER UBUNTU 16.04 INSTALL#
- #INSTALL JUPYTER UBUNTU 16.04 SOFTWARE#
- #INSTALL JUPYTER UBUNTU 16.04 PASSWORD#
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It will safely close the Jupyter Server running on our instance. To stop that notebook go to the terminal where we started the notebook. But wait Jupyter notebook is still running on the port number. Exiting Jupyter Notebook & GCP VM Instance safelyĪfter finishing the work on Jupyter notebook save the notebook and close the browser.
#INSTALL JUPYTER UBUNTU 16.04 PASSWORD#
Here Enter the password you set in previous steps. Like this: If my VM instance is having external IP as 264.50.11.111 then I will type 264.50.11.111:5000 into a new tab and will hit enter. Now open a new tab in the browser and type External IP address: port Number and hit enter. That should do it.Jupyter Notebook server started on port 5000 If yours has higher number of processors, replace 2 with the number your system can handle. My system has 2 processors, so I used the number 2. The make -j 2 command option should represent the number of CPU cores your computer has.
#INSTALL JUPYTER UBUNTU 16.04 INSTALL#
Next, run the commands below to complete the compilation and install OpenCV. install path: lib/python3.6/dist-packages/cv2/python-3.6 numpy: /usr/lib/python3/dist-packages/numpy/core/include (ver 1.13.3) Interpreter: /usr/bin/python3 (ver 3.6.9)
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Include path: /home/richard/opencv_base/opencv/3rdparty/include/opencl/1.2 at: /home/richard/opencv_base/opencv/build/3rdparty/ippicv/ippicv_lnx/iw at: /home/richard/opencv_base/opencv/build/3rdparty/ippicv/ippicv_lnx/icv D OPENCV_EXTRA_MODULES_PATH=~/opencv_base/opencv_contrib/modules \Īfter the make command above, you should see similar lines as below. Once the download is complete, change into ~/opencv_base/opencv folder and run the commands below: cd ~/opencv_base/opencvĪfter running the commands above, setup OpenCV with Make by running the commands below: cmake -D CMAKE_BUILD_TYPE=RELEASE \ Next, change into the directory and clone OpenCV repository at Github to download the latest version. Sudo apt install libjpeg-dev libpng-dev libtiff-dev gfortran openexr libatlas-base-dev python3-dev python3-numpy libtbb2 libtbb-dev libdc1394-22-devĪfter installing the packages above, run the commands below to create a folder for opencv_base in your home directory. Sudo apt install build-essential cmake git pkg-config libgtk-3-dev libavcodec-dev libavformat-dev libswscale-dev libv4l-dev libxvidcore-dev libx264-dev To install from source, run the commands below to install required and optional packages to support OpenCV. Using this method is recommended which can be tailored to particular system configurations and can give you control on how its’ installed. Method 2: Installing from Sourceįor those who want to customize OpenCV installation can install from its source.
#INSTALL JUPYTER UBUNTU 16.04 HOW TO#
This is how to install OpenCV via Ubuntu default repositories. You should see similar output as below which is the version number of OpenCV installed. To verify if OpenCV is installed, run the commands below: python3 -c "\ After installing, you can begin using OpenCV functions in your applications. Running the commands above will download and compile all required packages for OpenCV and install. To do install it from Ubuntu repository, run the commands below: All its packages will be downloaded and install via simple command. The easiest way to install OpenCV on Ubuntu is using Ubuntu repository to install it. To get started with installing OpenCV, using the method below: Step 1: Install from Ubuntu Repository
#INSTALL JUPYTER UBUNTU 16.04 SOFTWARE#
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