Using Python To Install OpenCV 3.4x on Banana Pi BPI-M2+(H3)

Install OpenCV 3.4x on Banana Pi M2P(H3)

I will show you how to install OpenCV on BPI M2P(H3) in this thread.

Step 1: Install Dependency Packages

  • apt-get update
  • apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libhdf5-serial-dev protobuf-compiler
  • apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev
  • apt-get install build-essential cmake pkg-config libjpeg-dev libtiff5-dev libjasper-dev libpng12-dev
  • apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev v4l-utils libxvidcore-dev libx264-dev ffmpeg
  • apt-get install libgtk2.0-dev libatlas-base-dev gfortran python2.7-dev python3-dev checkinstall

Step 2 : Download OpenCV Code

Step 3 : cmake OpenCV Code

  • cd /opencv
  • mkdir build
  • cd build
  • cmake -D CMAKE_BUILD_TYPE=Release  -D CMAKE_INSTALL_PREFIX=/usr/local -D PYTHON_INCLUDE_DIR=/usr/bin/python -D OPENCV_EXTRA_MODULES_PATH=<path>/opencv_contrib/modules ..
    

Step 4 : Using python to test camera

FAQ:

  • If you meet problem like this: image

  • replace “/usr/bin/python” by “/usr/bin/python2.7” Or use “ln -s /usr/bin/python2.7 /usr/bin/python”