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OpenCV-Python Tutorials

Documentation

Release beta

eastWillow

Nov 09, 2017

Contents

1 OpenCV-Python Tutorials3

1.1 Introduction to OpenCV

6

1.2 Gui Features in OpenCV

19

1.3 Core Operations

34

1.4 Image Processing in OpenCV

46

1.5 Feature Detection and Description

154

1.6 Video Analysis

190

1.7 Camera Calibration and 3D Reconstruction

208

1.8 Machine Learning

226

1.9 Computational Photography

251

1.10 Object Detection

260

1.11 OpenCV-Python Bindings

265

2 Indices and tables269i

ii OpenCV-Python Tutorials Documentation, Release beta This is Fork From:https://github.com/abidrahmank/OpenCV2-Python-Tutorials

But It updated in 2013 , Too Old. So I Made this

Update Date:8 Jul 2016

Contents:Contents1

OpenCV-Python Tutorials Documentation, Release beta

2Contents

CHAPTER1OpenCV-Python Tutorials

•Introduction to OpenCVLearn how to setup OpenCV-Python on your computer! •Gui Features in OpenCVHere you will learn how to display and save images and videos, control

mouse events and create trackbar.•Core OperationsIn this section you will learn basic operations on image like pixel editing,

geometrictransformations, codeoptimization, somemathematicaltoolsetc.•Image Processing in OpenCV3

OpenCV-Python Tutorials Documentation, Release beta In this section you will learn different image processing functions inside

OpenCV.•Feature Detection and DescriptionIn this section you will learn about feature detectors and descriptors

•Video AnalysisIn this section you will learn different techniques to work with videos like

object tracking etc.•Camera Calibration and 3D ReconstructionIn this section we will learn about camera calibration, stereo imaging etc.

•Machine LearningIn this section you will learn different image processing functions inside

OpenCV.•Computational PhotographyIn this section you will learn different computational photography tech-

niques like image denoising etc.•Object Detection4 Chapter 1. OpenCV-Python Tutorials OpenCV-Python Tutorials Documentation, Release beta In this section you will object detection techniques like face detection etc. •OpenCV-Python BindingsIn this section, we will see how OpenCV-Python bindings are generated 5 OpenCV-Python Tutorials Documentation, Release beta 1.1

Intr oductionto OpenCV

•Introduction to OpenCV-Python TutorialsGetting Started with OpenCV-Python •Install OpenCV-Python in WindowsSet Up OpenCV-Python in Windows •Install OpenCV-Python in FedoraSet Up OpenCV-Python in Fedora

6 Chapter 1. OpenCV-Python Tutorials

OpenCV-Python Tutorials Documentation, Release beta 1.1.1

Intr oductionto OpenCV -PythonT utorials

OpenCV

OpenCV was started at Intel in 1999 byGary Bradskyand the first release came out in 2000.Vadim Pisarevsky

joined Gary Bradsky to manage Intel"s Russian software OpenCV team. In 2005, OpenCV was used on Stanley, the

vehicle who won 2005 DARPA Grand Challenge. Later its active development continued under the support of Willow

Garage, with Gary Bradsky and Vadim Pisarevsky leading the project. Right now, OpenCV supports a lot of algorithms

related to Computer Vision and Machine Learning and it is expanding day-by-day.

Currently OpenCV supports a wide variety of programming languages like C++, Python, Java etc and is available on

different platforms including Windows, Linux, OS X, Android, iOS etc. Also, interfaces based on CUDA and OpenCL

are also under active development for high-speed GPU operations.

OpenCV-Python is the Python API of OpenCV. It combines the best qualities of OpenCV C++ API and Python

language.

OpenCV-Python

Python is a general purpose programming language started byGuido van Rossum, which became very popular in

short time mainly because of its simplicity and code readability. It enables the programmer to express his ideas in

fewer lines of code without reducing any readability.

Compared to other languages like C/C++, Python is slower. But another important feature of Python is that it can

be easily extended with C/C++. This feature helps us to write computationally intensive codes in C/C++ and create

a Python wrapper for it so that we can use these wrappers as Python modules. This gives us two advantages: first,

our code is as fast as original C/C++ code (since it is the actual C++ code working in background) and second, it

is very easy to code in Python. This is how OpenCV-Python works, it is a Python wrapper around original C++

implementation.

And the support of Numpy makes the task more easier.Numpyis a highly optimized library for numerical operations.

It gives a MATLAB-style syntax. All the OpenCV array structures are converted to-and-from Numpy arrays. So

whatever operations you can do in Numpy, you can combine it with OpenCV, which increases number of weapons in

your arsenal. Besides that, several other libraries like SciPy, Matplotlib which supports Numpy can be used with this.

So OpenCV-Python is an appropriate tool for fast prototyping of computer vision problems.

OpenCV-Python Tutorials

OpenCV introduces a new set of tutorials which will guide you through various functions available in OpenCV-Python.

This guide is mainly focused on OpenCV 3.x version(although most of the tutorials will work with OpenCV 2.x

also).

A prior knowledge on Python and Numpy is required before starting because they won"t be covered in this guide.

Especially, a good knowledge on Numpy is must to write optimized codes in OpenCV-Python.

This tutorial has been started byAbid Rahman K.as part of Google Summer of Code 2013 program, under the guidance

ofAlexander Mordvintsev.

OpenCV Needs You !!!

Since OpenCV is an open source initiative, all are welcome to make contributions to this library. And it is same for

this tutorial also.

So, if you find any mistake in this tutorial (whether it be a small spelling mistake or a big error in code or concepts,

whatever), feel free to correct it.1.1. Introduction to OpenCV7 OpenCV-Python Tutorials Documentation, Release beta

And that will be a good task for freshers who begin to contribute to open source projects. Just fork the OpenCV

in github, make necessary corrections and send a pull request to OpenCV. OpenCV developers will check your pull

request, give you important feedback and once it passes the approval of the reviewer, it will be merged to OpenCV.

Then you become a open source contributor. Similar is the case with other tutorials, documentation etc.

As new modules are added to OpenCV-Python, this tutorial will have to be expanded. So those who knows about

particular algorithm can write up a tutorial which includes a basic theory of the algorithm and a code showing basic

usage of the algorithm and submit it to OpenCV. Remember, wetogethercan make this project a great success !!!

Contributors

Below is the list of contributors who submitted tutorials to OpenCV-Python. 1.

Ale xanderMordvintse v(GSoC-2013 mentor)

2.

Abid Rahman K. (GSoC-2013 intern)

Additional Resources

1.

A Quick guide to Python -

A Byte of Python

2.

Basic Nump yT utorials

3.

Nump yExamples List

4.

OpenCV Documentation

5.

OpenCV F orum

1.1.2

Install OpenCV -Pythonin Windo ws

Goals

In this tutorial

W ewill learn to setup OpenCV -Pythonin your W indowssystem.

Below steps are tested in a Windows 7-64 bit machine with Visual Studio 2010 and Visual Studio 2012. The screenshots

shows VS2012.

Installing OpenCV from prebuilt binaries

1. Belo wPython packages are to be do wnloadedand installed to their def aultlocations. 1.1.

Python-2.7.x

1.2.

Nump y

1.3.

Matplotlib

( Matplotlib is optional, but recommended since we use it a lot in our tutorials). 2. Install all packages into their def aultlocations. Python will be installed to C:/Python27/. 3. After installation, open Python IDLE. Enter import numpyand make sure Numpy is working fine. 4.

Do wnloadlatest OpenCV release from

sourcefor gesite and double-click to e xtractit. 7. Goto opencv/build/python/2.7folder.8 Chapter 1. OpenCV-Python Tutorials OpenCV-Python Tutorials Documentation, Release beta 8.

Cop ycv2.pydtoC:/Python27/lib/site-packeges.

9. Open Python IDLE and type follo wingcodes in Python terminal. >>>import cv2

>>>printcv2 .__version__If the results are printed out without any errors, congratulations !!! You have installed OpenCV-Python successfully.

Building OpenCV from source

1.

Do wnloadand install V isualStudio and CMak e.

1.1.

V isualStudio 2012

1.2.

CMak e

2. Do wnloadand install necessary Python packages to their def aultlocations 2.1.

Python 2.7.x

2.2.

Nump y

2.3.

Matplotlib

( Matplotlib is optional, but recommended since we use it a lot in our tutorials.)Note:In this case, we are using 32-bit binaries of Python packages. But if you want to use OpenCV for x64, 64-bit

binaries of Python packages are to be installed. Problem is that, there is no official 64-bit binaries of Numpy. You

have to build it on your own. For that, you have to use the same compiler used to build Python. When you start Python

IDLE, it shows the compiler details. You can get more information here . So your system must have the same Visual

Studio version and build Numpy from source.Note:Another method to have 64-bit Python packages is to use ready-made Python distributions from third-parties

like

Anaconda

Enthought

etc. It will be bigger in size, b utwill ha vee verythingyou need. Ev erythingin a single shell. You can also download 32-bit versions also.3.Mak esure Python and Nump yare w orkingfine. 4.

Do wnloadOpenCV source. It can be from

Sourcefor ge

(for of ficialrelease v ersion)or from

Github

(for latest source). 5. Extract it to a folder ,opencvand create a new folderbuildin it. 6. Open CMak e-gui( Start > All Programs > CMake-gui) 7. Fill the fields as follo ws(see the image belo w):

7.1. Click onBrowse Source...and locate theopencvfolder.

7.2. Click onBrowse Build...and locate thebuildfolder we created.

7.3. Click onConfigure.1.1. Introduction to OpenCV9

OpenCV-Python Tutorials Documentation, Release beta

7.4. It will open a new window to select the compiler. Choose appropriate compiler (here, Visual

Studio 11) and clickFinish.7.5. Wait until analysis is finished. 8.

Y ouwill see all the fields are mark edin red. Click on the WITHfield to expand it. It decides what extra features

you need. So mark appropriate fields. See the below image:10 Chapter 1. OpenCV-Python Tutorials OpenCV-Python Tutorials Documentation, Release beta 9.

No wclick on BUILDfield to expand it. First few fields configure the build method. See the below image:1.1. Introduction to OpenCV 11

OpenCV-Python Tutorials Documentation, Release beta 10.

Remaining fields specify what modules are to be b uilt.Since GPU modules are not yet supported by OpenCV -

Python, you can completely avoid it to save time (But if you work with them, keep it there). See the image

below:12 Chapter 1. OpenCV-Python Tutorials OpenCV-Python Tutorials Documentation, Release beta 11.quotesdbs_dbs10.pdfusesText_16

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