Face and Eye Detection With Raspberry Pi Zero and Opencv
by DanishMalhotra in Circuits > Computers
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Face and Eye Detection With Raspberry Pi Zero and Opencv
In this instructable i'm going to show how you can detect face and eye using raspberry pi and opencv. This is my first instructable on opencv. I followed many tutorials to set up open cv in raspberry but every time struck with some errors. Anyhow i solved those errors and thought to write instructable so that everyone else will be able to install it without any difficulty
Things required:
1. Raspberry pi zero
2. SD-card
3. Camera Module
This installation process will take more than 13 hours so plan the installation accordingly
Downlaod and Install Raspbian Image
- Download raspbian stretch with desktop image from raspberry pi website
https://www.raspberrypi.org/downloads/raspbian
- Then insert the memory card into your laptop and burn the raspbian image using etcher tool
Download ethcher from here https://etcher.io
- After burning the image plug the memory card into your raspberry pi and power on the raspberry
Setting Up Opencv
After boot process open terminal and follow the steps to install opencv and setting up virtual environment for opencv
Steps:
1. Everytime you start any new installation it's better to upgrade existing packages
$ sudo apt-get update
$ sudo apt-get upgrade
Time : 2m 30 sec
2. Then install developer tools
$ sudo apt-get install build-essential cmake pkg-config
Time: 50 sec
3. Now grab the necessary image I/O packages
$ sudo apt-get install libjpeg-dev libtiff5-dev libjasper-dev libpng12-dev
Time: 37 sec
4. Video I/O packages
$ sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
$ sudo apt-get install libxvidcore-dev libx264-dev
Time: 36 sec
5. Install GTK dvelopment
$ sudo apt-get install libgtk2.0-dev
Time: 2m 57s
6. Optimization packages
$ sudo apt-get install libatlas-base-dev gfortran
Time: 1 min
7. Now install python 2.7 if it's not there. In my case it was already installed but still check
$ sudo apt-get install python2.7-dev
Time: 55 sec
8. Now download the opencv source and unzip it
$ cd ~ $ wget -O opencv.zip https://github.com/Itseez/opencv/archive/3.0.0.zip
$ unzip opencv.zip
Time: 1m 58 sec
9. Downloading the opencv_contrib repository
$ wget -O opencv_contrib.zip https://github.com/Itseez/opencv_contrib/archive/3.0.0.zip
$ unzip opencv_contrib.zip
Time: 1m 5sec
10. Now opencv and opencv_contrib have been expanded delete their zip files to save some space
$ rm opencv.zip opencv_contrib.zip
Time: 2 sec
11. Now install pip
$ wget https://bootstrap.pypa.io/get-pip.py
$ sudo python get-pip.py
Time: 50 sec
12. Install virtualenv and virtualenvwrapper, this will allow us to create separate, isolated python environments for our future projects
$ sudo pip install virtualenv virtualenvwrapper
$ sudo rm -rf ~/.cache/pip
Time: 30 sec
13. After that installation, open ~/.profile
$ nano ~/.profile
and add these lines to bottom of the file
# virtualenv and virtualenvwrapper export WORKON_HOME=$HOME/.virtualenvs source /usr/local/bin/virtualenvwrapper.sh
Now source your ~/.profile to reload the changes
$ source ~/.profile
Time: 20 sec
14. Now create a python virtual env named cv
$ mkvirtualenv cv
Time: 10sec
15. Next step is to install numpy. This will take atleast half an hour so u can have some coffee and sandwiches
$ pip install numpy
Time: 36m
16. Now compile and install opencv and make sure u are in cv virtual environment by using this command
$ workon cv
and then setup up the build using Cmake
$ cd ~/opencv-3.0.0/ $ mkdir build $ cd build $ cmake -D CMAKE_BUILD_TYPE=RELEASE \ -D CMAKE_INSTALL_PREFIX=/usr/local \ -D INSTALL_C_EXAMPLES=ON \ -D INSTALL_PYTHON_EXAMPLES=ON \ -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib-3.0.0/modules \ -D BUILD_EXAMPLES=ON -D ENABLE_PRECOMPILED_HEADERS=OFF ..
Time: 5mins
17. Now build is setup, run make to start the compilation process. This is going to take a while so u can let this run overnight
$ make
In my case 'make' thrown me one error which was related to ffpmeg. After lot of search i found the solution. Go to opencv 3.0 folder then modules then inside videoio go to src and replace the cap_ffpmeg_impl.hpp with this file
https://github.com/opencv/opencv/blob/f88e9a748a37e5df00912524e590fb295e7dab70/modules/videoio/src/cap_ffmpeg_impl.hpp and run make again
Time: 13 hours
If it's compiled without any error, install it on raspberry pi using:
$ sudo make install $ sudo ldconfig
Time: 2 min 30 sec
18. After completing step 17 your opencv bindings should be in /usr/local/lib/python-2.7/site-packages . Verify this by using this
$ ls -l /usr/local/lib/python2.7/site-packages total 1549 -rw-r--r-- 1 root staff 1677024 Dec 3 09:44 cv2.so
19. Now only thing left is sym-link the cv2.so file into site-packages directory of cv environment
$ cd ~/.virtualenvs/cv/lib/python2.7/site-packages/ $ ln -s /usr/local/lib/python2.7/site-packages/cv2.so cv2.so
20. Verify your opencv installtion by using:
$ workon cv $ python >>> import cv2 >>> cv2.__version__ '3.0.0' >>>
Face and Eye Detection
Now let's try face detection
First thing to do is enable camera by going using:
$ sudo raspi-config
This will bring up a configuration screen. Use your arrow keys to scroll down to Option 5: Enable camera, hit your enter key to enable the camera, and then arrow down to the Finish button and hit enter again. Lastly, you’ll need to reboot your Raspberry Pi for the configuration to take affect.
Now install picamera[array] in cv environment. For this make sure u r in cv environment. If you rebooted your pi, to enter again in cv environment just type:
$ source ~/.profile $ workon cv
Now install pi camera
$ pip install "picamera[array]"
Run the face-detection-test.py bu using:
python face-detection-test.py
If it throws any error just type this command before executing script
sudo modprobe bcm2835-v4l2
Now you are good to go for face detection. Try and share your results
Cheers!