View source for OpenCV 3.4x on BananaPi

Using Python To Install OpenCV 3.4x on Banana Pi M2P(H3)

*Install OpenCV 3.4x on Banana Pi M2P(H3) we use Banana Pi BPI-M2+ to this test.I will show you how to install OpenCV on BPI M2P(H3) in this thread.

[[File:Opencv1.jpg]]


*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

 git clone https://github.com/opencv/opencv.git --branch 3.4.0
 git clone https://github.com/opencv/opencv_contrib.git --branch 3.4.0

*Step 3 : cmake OpenCV Code

 cd <path>/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 ..

[[File:Opencv_2.png]]

*Step 4 : Using python to test camera

python readvideo.py

 import numpy as np
 import cv2
 cap = cv2.VideoCapture(1) #/dev/video1

 while(True):
    # Capture frame-by-frame
    ret, frame = cap.read()

    # Our operations on the frame come here
    #gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    # Display the resulting frame
    cv2.imshow('frame',frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

 # When everything done, release the capture
 cap.release()
 cv2.destroyAllWindows()


*FAQ:
If you meet problem like this：

[[File:Opencv3.png]]

replace "/usr/bin/python" by "/usr/bin/python2.7" Or use "ln -s /usr/bin/python2.7 /usr/bin/python"

Forum pthread:

http://forum.banana-pi.org/t/using-python-to-install-opencv-3-4x-on-banana-pi-m2p-h3/6657

=Documents=

Banana Pi BPI-M2 Zero with OpenCV :https://bluexmas.tistory.com/category/OS/Banana%20Pi%20%EF%BC%8FBPI-Bit?page=2