Raspberry Pi Tips

Install OpenCV

Raspberry Pi 3 Model B V1.2

  $ cat /etc/debian_version

1. Install library dependencies

$ sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev

2. Install OpenCV and OpenCV-contrib-python over pip

OpenCV-contrib-python is external module of OpenCV.

  $ sudo pip3 install opencv-python
  Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple
  Requirement already satisfied: opencv-python in /usr/local/lib/python3.5/dist-packages (
  Requirement already satisfied: numpy>=1.12.1 in /usr/lib/python3/dist-packages (from opencv-python) (1.12.1)
  $ sudo pip3 install opencv-contrib-python
  Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple
  Collecting opencv-contrib-python
    Downloading https://www.piwheels.org/simple/opencv-contrib-python/opencv_contrib_python- (16.0 MB)
      |████████████████████████████████| 16.0 MB 48 kB/s 
  Requirement already satisfied: numpy>=1.12.1 in /usr/lib/python3/dist-packages (from opencv-contrib-python) (1.12.1)
  Installing collected packages: opencv-contrib-python
  Successfully installed opencv-contrib-python-

3. Install libraries for executing OpenCV

  $ sudo apt install libhdf5-103 libqtgui4 libatlas3-base libjasper1 libqt4-test
  パッケージリストを読み込んでいます... 完了
  状態情報を読み取っています... 完了
  E: パッケージ libhdf5-103 が見つかりません

HDF(Hierarchical Data Format) is a set of file formats (HDF4, HDF5) designed to store and organize large amounts of data in Hierarchical model. I found a thread in stackoverflow forum about install hdf5 for python3. It's the case for ubuntu, but I tried to go with the procedure as follows. This works fine.

  $ sudo apt-get install libhdf5-serial-dev netcdf-bin libnetcdf-dev

4. A simple python code for capturing image by Camera module

  import cv2

  cap = cv2.VideoCapture(0)
  while True:
    # capture for each 1 frame
    ret, frame = cap.read()
    # if cannot cappture, close the window
    if not ret:
    # output to the window
    cv2.imshow("Frame", frame)
    key = cv2.waitKey(1)
    # if interrupted, stop the process
    if key == 27:

Camera worked and streamed video to the window frame