Image Processing based on OpenCv with Python on Raspbian, Raspberry Pi

First Steps with Image processing based on Rasberry Pi, OpenCV & Python 3.6.1 on Debian Jessie

Python environment, libraries

Contents

Update Python 2.7

update setup tools

sudo apt-get install python-setuptools

install packets tool

sudo easy_install pip

How to install Python 3.6.1 on Raspbian Jessie

sudo echo 'deb http://mirrordirector.raspbian.org/raspbian/ testing main contrib non-free rpi' > /etc/apt/sources.list.d/stretch.list
sudo apt-get update
sudo apt-get dist-upgrade
sudo apt-get autoremove

First of all you need to get your dependencies right. That mostly depend on what you have already installed previously. So for a vanilla fresh Raspbian (jessie), you will (approximately) need to make sure you have these:

sudo apt-get install build-essential libc6-dev
sudo apt-get install libncurses5-dev libncursesw5-dev libreadline6-dev
sudo apt-get install libdb5.3-dev libgdbm-dev libsqlite3-dev libssl-dev
sudo apt-get install libbz2-dev libexpat1-dev liblzma-dev zlib1g-dev

The rest is simple. First download and extract…

cd $HOME
wget https://www.python.org/ftp/python/3.6.1/Python-3.6.1.tgz
tar -zxvf Python-3.6.1.tgz

compile with

cd Python-3.6.1 ./configure --enable-optimizations

We have 4 processors, so let’s use 4 threads or

make -j4

in RPI ZERO 1

make

sudo make altinstall

Save your SD card space

cd ..
sudo rm -fr ./Python-3.6.1*

Now test with

cd
python3.6 -V
# "Python 3.6.1"

pip3.6 list

Output

pip (9.0.1)
setuptools (28.8.0)

if is necessary to install pip , a Python package manager

sudo pip3.6 install --upgrade pip
sudo pip3.6 install -U pip
sudo pip3.6 install -U setuptools

Alternative for Install Python 3.6.1

http://www.pyimagesearch.com/2016/04/18/install-guide-raspberry-pi-3-raspbian-jessie-opencv-3/

A. with packages, shorter process on small device RPI ZERO W

sudo nano etc/apt/sources.list
# add
deb http://ftp.de.debian.org/debian experimental main
deb http://ftp.de.debian.org/debian unstable main
deb http://http.debian.net/debian/ jessie main contrib non-free

sudo apt-get update
sudo apt-get install python3.6
python3.6 -V

Install with Python 2.7

OpenCV auf dem Raspberry Pi installieren

Install Raspberry Camera, 8MP

sudo pip3.6 install picamera

Before Install OpenCv

Installing Build Dependencies

To compile OpenCV, we must ensure that the required dependencies are available, including the build tools themselves. We can get the required ones using apt on Ubuntu, but first, ensure the package list is up-to-date by running apt-get update. Next, execute the following commands to get the required packages (see below for a one-line list of all):

sudo apt-get install cmake build-essential pkg-config
sudo apt-get install libgtk2.0-dev libtbb-dev
sudo apt-get install python-dev python-numpy python-scipy
sudo apt-get install libjasper-dev libjpeg-dev libpng-dev libtiff-dev 
sudo apt-get install libavcodec-dev libavutil-dev libavformat-dev libswscale-dev
sudo apt-get install libdc1394-22-dev libv4l-dev

In single line

sudo apt-get install cmake build-essential pkg-config libgtk2.0-dev libtbb-dev python-dev python-numpy python-scipy libjasper-dev libjpeg-dev libpng-dev libtiff-dev libavcodec-dev libavutil-dev libavformat-dev libswscale-dev libdc1394-22-dev libv4l-dev

Install libraries

sudo pip3.6 install numpy

Setup Python

The first step in setting up Python for our OpenCV compile is to install pip , a Python package manager:

Using virtualenv and virtualenvwrapper allows you to create isolated Python environments, separate from your system install of Python. This means that you can run multiple versions of Python, with different versions of packages installed into each virtual environment — this solves the “Project A depends on version 1.x, but Project B needs 4.x” problem that often arises in software engineering.

/usr/local/bin/pip install virtualenv virtualenvwrapper
# OR
sudo pip3.6 install virtualenv virtualenvwrapper
sudo rm -rf ~/.cache/pip3.6

Python virtual environment where we’ll be doing our computer vision work

mkvirtualenv cv
# OR
mkvirtualenv --python=python3.6 cv
# OR
mkvirtualenv cv -p python3.6

after reboot your system, logout and log back in, or open up a new terminal, you’ll need to use the workon command to re-access the cv virtual environment, otherwise you’ll be using the system version of Python instead:

source ~/.profile
workon cv
python -V

on rpi ZERO

Installing OpenCV on your Raspberry Pi Zero

http://www.pyimagesearch.com/2015/12/14/installing-opencv-on-your-raspberry-pi-zero/

Camera Test

Steps to install PyGame using pip

1. Install build dependencies (on linux):
```
sudo apt-get build-dep python-pygame
```
2. Install mercurial to use hg (on linux):
```
sudo apt-get install mercurial
```
3. Use pip to install PyGame:
```
pip3.6 install hg+http://bitbucket.org/pygame/pygame
```
  If the above gives freetype-config: not found error (on Linux), then try sudo apt-get install libfreetype6-dev and then repeat 3.

Alternative way

sudo apt-get install python3-pygame

python3.6 -m pip install pygame --user

python3.6 -m pygame.examples.aliens

Install on virtualenvironment

pip3.6 install numpy

Install OpenCv v2

from linux packages

sudo apt-get install python-opencv
sudo apt-get install python-scipy
sudo apt-get install ipython

from OpenCv repository

https://pypi.python.org/pypi/opencv-python/3.1.0.3

cd ~
wget -O opencv.zip https://github.com/Itseez/opencv/archive/3.1.0.zip
unzip opencv.zip

We’ll want the full install of OpenCV 3 (to have access to features such as SIFT and SURF, for instance), so we also need to grab the opencv_contrib repository as well:

wget -O opencv_contrib.zip https://github.com/Itseez/opencv_contrib/archive/3.1.0.zip
unzip opencv_contrib.zip

Compiling

cd ~/opencv-3.1.0/
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D OPENCV_EXTRA_MODULES_PATH=../../../../opencv_contrib-3.1.0/modules -DBUILD_TIFF=ON -DBUILD_opencv_java=OFF -DWITH_CUDA=OFF -DENABLE_AVX=ON -DWITH_OPENGL=ON -DWITH_OPENCL=ON -DWITH_IPP=ON -DWITH_TBB=ON -DWITH_EIGEN=ON -DWITH_V4L=ON -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF -DCMAKE_BUILD_TYPE=RELEASE

cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX="../../../../../../usr/local" -D OPENCV_EXTRA_MODULES_PATH=../../../../opencv_contrib-3.1.0/modules -DBUILD_TIFF=ON -DBUILD_opencv_java=OFF -DWITH_CUDA=OFF -DENABLE_AVX=ON -DWITH_OPENGL=ON -DWITH_OPENCL=ON -DWITH_IPP=ON -DWITH_TBB=ON -DWITH_EIGEN=ON -DWITH_V4L=ON -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF -DCMAKE_BUILD_TYPE=RELEASE

makeing

make clean
make
sudo make install
sudo ldconfig

Verifying Installation

As mentioned previously, you can verify that the cv2 module was installed correctly by executing the following in a Python shell:

import cv2
print(cv2.__version__)