#INSTALL JUPYTER UBUNTU 16.04 INSTALL#
#INSTALL JUPYTER UBUNTU 16.04 SOFTWARE#
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In my case was exactly how you described it, I had python 3.6 and the sample was with python 3.5, so I just had to link the cython to the virtual environment. I am just really new to cmake and linking this way, I just get confused which file goes where while installation, which is linked, which not, where is the virtual environment, that kind of thing. Thank you very much! Seconds ago I arrived to exactly the same solution! And it works. D OPENCV_EXTRA_MODULES_PATH=/devel/software/opencv_contrib/modules D CMAKE_INSTALL_PREFIX=$cwd/installation/OpenCV-вЂњ$cvVersionвЂќ Then link the file using ln -f -s /devel/installation/OpenCV-4.0.0/python/python-3.6/cv2*.so cv2.so For me that is at ~/.virtualenvs/cv/lib/python3.6/site-packages. If this is all there then you can go to your virtual environment and link the file in. If you navigate to /installation/OpenCV-4.0.0/python/cv2/python-3.6 you will find the file cv2.cpython-36m-x86_64-linux-gnu.so (this assumes a Intel architecture).

#INSTALL JUPYTER UBUNTU 16.04 INSTALL#

If you ran the make install command then you should find in the installation folder an OpenCV-4.0.0 folder. I do use the installation folder that the scripts use but I do not run the scripts as I was bitten badly once upon a time.

#INSTALL JUPYTER UBUNTU 16.04 SOFTWARE#

where I do all my coding, at /devel under that is a software folder that I use to hold any 3rd party software I use. You do not say what Python you are using or if you are using the installation folder that is called out in the article. If you want to use OpenCV 4 in Python then you must link the cv2*.so file into the virtual environment that you are using. I use 18.04 but it should not make that much difference.

Sudo apt -y install libgphoto2-dev libeigen3-dev libhdf5-dev doxygen Sudo apt -y install libgoogle-glog-dev libgflags-dev Sudo apt -y install libprotobuf-dev protobuf-compiler Sudo apt -y install libopencore-amrnb-dev libopencore-amrwb-dev Sudo apt -y install libvorbis-dev libxvidcore-dev Sudo apt -y install libfaac-dev libmp3lame-dev libtheora-dev

Sudo apt -y install libgtk2.0-dev libtbb-dev qt5-default Sudo apt -y install libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev Sudo apt -y install libxine2-dev libv4l-dev Sudo apt -y install libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev Sudo apt -y install libjpeg8-dev libjasper-dev libpng12-dev Sudo apt -y install build-essential checkinstall cmake pkg-config yasm Note that this script will install OpenCV in a local directory and not on the entire system. We will also briefly study the script to understand whatвЂ™s going in it. In this post, we will provide a bash script for installing OpenCV-4.0 (C++ and Python 3.5) on Ubuntu 16.04.

Very efficient and yet high-quality DIS dense optical flow algorithm has been moved from opencv_contrib to the video module.

#INSTALL JUPYTER UBUNTU 16.04 CODE#

QR code detector and decoder have been added to the objdetect module.

The popular Kinect Fusion algorithm has been implemented and optimized for CPU and GPU (OpenCL).

dnn module now includes experimental Vulkan backend and supports networks in ONNX format.

New module G-API has been added, it acts as an engine for very efficient graph-based image procesing pipelines.

Persistence (storing and loading structured data to/from XML, YAML or JSON) in the core module has been completely reimplemented in C++ and lost the C API as well.

A lot of C API from OpenCV 1.x has been removed.

Minimum required CMake version has been raised to 3.5.1.

OpenCV is now C++11 library and requires C++11-compliant compiler.

There have been a lot of bug fixes and other changes in these versions. OpenCV released OpenCV-3.4.4 and OpenCV-4.0.0 on 20th November.

Install jupyter ubuntu 16.04