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I have searched the net for the process but have not yet found any useful help for the query. Following are the links,
http://www.linuxcircle.com/2015/05/18/open-computer-vision-opencv3-with-python-3-on-raspberry-pi-2/
http://www.pyimagesearch.com/2015/10/26/how-to-install-opencv-3-on-raspbian-jessie/
Many of these guides make use of the Virtual Environments which I do not wish to use due to unnecessary complications. Please post step by step guide in simple language for this.
@Ashwin Pajanakr
I too have struggled getting OpenCV3 installed on my system. Fortunately, I found this youtube video to be extremely helpful.
https://www.youtube.com/watch?v=6j-Wy9j0TCs
I do not know for sure if it is specific to Python 3. But I do know that he was using python to test it out.
When you get to the point of compiling OpenCV from the source code, I would suggest using the cmake-gui
sudo apt-get install cmake-gui
The gui will allow you to see and enable/disable - graphically - all of the modules associated with OpenCV.
When configuring on the RPi, make sure you uncheck any references to cuda. This is the only REQUIRED step for you to take to get the library compiled. But there are lots of other things you can add on.
NOTE: when you run make It will take FOREVER on your PI. I would suggest running:
sudo make -j3
So that you run the compilation using 3 cores instead of 1. This will cut down the compilation from about 3-4 hours down to around 1-2.
I hope this helps...
Installing OpenCV is pretty much straightforward process, it just take a lot of time. I googled a lot for the last few months to make a cheat sheet, and I made one. You can download my cheat sheet and try it out. I don't like Virtual Environment as well. It's better, though. It isolates your installation from getting later errors when using after installation. I recommend you install OpenCV for Python 2 not 3. If you want for Python 3 just change the appropriate lines in the cheat sheet. I also recommend that you stick to the cheat sheet especially in step 12. Sometime when you use all the processor cores the process fails to continue. You should always use a 2A, 5V Adapter. your Pi 3 Peripherals are current hungry, and if current is not sufficient, the Pi shuts down automatically, as it's short-circuit protected.
Here is how I installed opencv2.4 on raspberry pi 3, raspbian OS. This doesn't need building the source code.
1) Make sure you don't have multiple opencv versions by following command.
sudo dpkg --get-selections | grep opencv
If above shows an output uninstalled it first as follows. If it gives empty output you may don't have other opencv versions.
dpkg -r opencv3.1
"opencv3.1" should be replaced by your version.
2) Then follow these steps to install "python-opencv"
sudo apt-get update
sudo apt-get upgrade
sudo apt-get install python-setuptools
sudo apt-get install python-pip
sudo apt-get install ipython python-opencv python-scipy python-numpy python-pygame
this blog explains installation process
