OpenCV Programming with the Raspberry PI: Tutorial 3 - Display an Image with C++ and Python

OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code.
The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc. OpenCV has more than 47 thousand people in their user community and an estimated number of downloads exceeding 7 million. The library is used extensively in companies, research groups and by governmental bodies.
The Raspberry Pi is a credit-card-sized single-board computer developed in the UK by the Raspberry Pi Foundation with the intention of promoting the teaching of basic computer science in schools.
The Raspberry Pi has a Broadcom BCM2835 system on a chip (SoC), which includes an ARM1176JZF-S 700 MHz processor, VideoCore IV GPU, and was originally shipped with 256 megabytes of RAM, later upgraded to 512 MB. It does not include a built-in hard disk or solid-state drive, but uses an SD card for booting and persistent storage.
The Foundation provides Debian and Arch Linux ARM distributions for download. Tools are available for Python as the main programming language, with support for BBC BASIC (via the RISC OS image or the Brandy Basic clone for Linux), C, Java and Perl.

[Hazit]

Your video helped me on a problem that I was stuck on for a long time. Thank you. :)

[bidhovbizar]

hello sir thanks a loot!! Your video helped me a lot!!

[eziera]

Hello Sir. :) I have this little error at 7:22. When I typed CMake at the terminal, R-Pi only bashed it. Could this be from the way I built OpenCV? Thank you sir. :)

[TimcoVanco]

Hi, I did everything like you, but when I put there command - make - it wrote me back errors about highgui.h: No such file or directory...

What I have to do to solve that? :)

[tiwar]

Thanks for the vids Master! just tell me if it is possible to program in Java to Raspberry Pi? just like you did with C++ on it.

[syedaakif]

Hello Sir I want to make Image Processing System Using Rasberi Pie And Python that will procees image & count the no of persons that will encountered with the Camera Will you plz help me for this ?

[mycodingjourney]

SIR DID WE NEED TO DO CMAKE COMMAND WHILE RUNNING THROUGH PYTHON ALSO

[ilyasdaddi]

thank u so much
just a small question where can I find cmake_lists. txt

[cesarau]

Hey, I am having trouble with the python one. It says: No module named cv2. When did we get the opencv2 modules?? Thanks man!

[samy]

hello sir, I am doing programming in OpenCV Linux using eclipse. I get output in eclipse, now i want to compile my program on raspberry pi.  plz help me how can i compile it on raspberry pi ?

[chiragpanchal]

Hello Francesco Piscani, I am using Beagle Bone Black with Angstrom OS.. But in angstrom OS instead of "sudo apt-get install package" we have to use "opkg install package" .. thats not a problem, the problem is most of the package it dont allow me to do install, it says it is unknown package, while in ubuntu it is installed. so please help me, how to install this package in
my main problem is import cv2 error. I refer your google docs but i m stuck up there only. please help me dude.