An example OpenCV Python app.
TODO
Setting up the development environment for working with ped-counter requires multiple dependencies.
Run the following in a shell to install them:
sudo apt-get update
sudo apt-get install python-opencv
sudo apt-get install python-matplotlib
sudo apt-get install python-gi python-gi-cairo python3-gi python3-gi-cairo gir1.2-gtk-3.0
sudo apt-get install libqtgui4
Ensure you are using virtualenv, as it makes these dependencies so much easier to manage.
git clone https://github.com/adafruit/Adafruit_AMG88xx_python.git
cd Adafruit_AMG88xx_python
python setup.py installThen, check setup success from the python cli interpreter
import Adafruit_AMG88xxsudo apt-get install build-essential cmake pkg-config
sudo apt-get install libjpeg-dev libtiff5-dev libjasper-dev libpng12-dev
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
sudo apt-get install libxvidcore-dev libx264-dev
sudo apt-get install libgtk2.0-dev libgtk-3-dev
sudo apt-get install libatlas-base-dev gfortransudo apt-get install python2.7-dev python3-devGrab the most recent version of OpenCV from their repo. Feel free to use something more recent than 3.4.2.
cd ~
wget -O opencv.zip https://github.com/opencv/opencv/archive/3.4.2.zip
unzip opencv.zipAfter extracting the Open CV source, we need to create a new Python3 environment.
virtualenv -p python3 opencv-env
source opencv-env/bin/activate Ensure you are using the new opencv-env environment and switch to the OpenCV source directory.
cd ~/opencv-3.4.2/
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE \
-D CMAKE_INSTALL_PREFIX=/usr/local \
-D INSTALL_PYTHON_EXAMPLES=ON \
-D BUILD_EXAMPLES=ON ..The guide referenced in this wiki mentions something important: ensure the output of the last command makes sense. Specifically, ensure cmake knows where your python interpreter is.
{INSERT PYTHON CLI IMAGE HERE}
Open /etc/dphys-swapfile and increase the CONF_SWAPSIZE to 1024.
Then, restart the service:
sudo /etc/init.d/dphys-swapfile stop
sudo /etc/init.d/dphys-swapfile startFinally, we're ready to compile Open CV for our environment. This takes ~1.5 hours.
make -j4Now install the built package. Run this from inside the build folder.
sudo make install
sudo ldconfigAfter running make install , your OpenCV + Python bindings should be installed in /usr/local/lib/python3.5/site-packages. According to some, the shared library that is generated from Open CV's compilation is icorrectly named. Rename cv2.cpython-35m-arm-linux-gnueabihf.so to cv2.so.
Now we need to add a sym link between the global Python install, and the virtual env for our project.
ln -s /usr/local/lib/python3.5/site-packages/cv2.so ${PATH_TO_VENV_SITE_PACKAGES}/cv2.soTo verify the install worked, from your virtual environment, run the Python interpreter. Import cv2 and check cv2.version.
The final thing to do is to clean up the swap size. Leaving it large can reduce the lifespan of your storage. Same as last time, restart the service.
https://www.pyimagesearch.com/2017/09/04/raspbian-stretch-install-opencv-3-python-on-your-raspberry-pi/ In the future, also build opencv-contrib from source? https://github.com/opencv/opencv_contrib