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https://github.com/oreillymedia/Learning-OpenCV-3_examples


https://github.com/oreillymedia/Learning-OpenCV-3_examples

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README 

        
# Learning OpenCV 3



## INTRO



This is the example code that accompanies Learning OpenCV 3 by Adrian Kaehler and Gary Bradski ([9781491937990](http:*shop.oreilly.com/product/0636920044765.do)).



Click the Download Zip button to the right to download example code.



Visit the catalog page [here](http:*shop.oreilly.com/product/0636920044765.do).



See an error? Report it [here](http:*oreilly.com/catalog/errata.csp?isbn=0636920044765), or simply fork and send us a pull request



## NOTES



For default suggestions of how the run the code, it assumes you put your build directory under `Learning-OpenCV-3_examples` directory. 



Thus, from the `Learning-OpenCV-3_examples` directory:



```	

  mkdir build

  cd build

  cmake ..

  make -j

```



#### Docker

For your interest, included here is an Ubuntu _Docker_ file that

* Shares a directory with the host operating system

* Shares the first camera between both systems

* Loads Ubuntu 16.04 

* Loads all dependencies for OpenCV 3.2 and opencv_contrib

* Loads and builds OpenCV 3.2 and opencv_contrib into a build directory 

  * executable files end up in `opencv-3.2.0/build/bin`

* Next, it `git clones` the code (and Docker file) for Learning OpenCV 3 and builds it

  * executable files end up in `Learning_OpenCV-3_examples/build`

* To get to the top level directory, just type: `cd`



## CONTENTS:



### SPECIAL FILES:



* README.md       -- this readme file

* Dockerfile      -- complete self contained opencv environment using Ubuntu 16-04

* CMakeLists.txt  -- how to buld everything here 



### EXERCISES:



* Exercises at end of Chapter 5

* Exercises at end of Chapter 7

* Exercises_8_1.cpp Exercises at end of Chapter 8

* Exercises_9_1-2-10-11-12-15-16.cpp Exercises at end of Chapter 8

* Exercises_9_4.cpp Exercises at end of Chapter 9

* Exercises_9_5.cpp Exercises at end of Chapter 9

* Exercises at end of Chapter 11

* Exercises_13_1-2-11.cpp	Exercises for Chapter 13

* Exercises_13_9.cpp	



### EXAMPLES:



* Example 2-1. A simple OpenCV program that loads an image from disk and displays it

* Example 2-2. Same as Example 2-1 but employing the “using namespace” directive

* Example 2-3. A simple OpenCV program for playing a video file from disk

* Example 2-4. Adding a trackbar slider to the basic viewer window for moving around

* Example 2-5. Loading and then smoothing an image before it is displayed on the screen

* Example 2-6. Using cv::pyrDown() to create a new image that is half the width and

* Example 2-7. The Canny edge detector writes its output to a single-channel (grayscale) image

* Example 2-8. Combining the pyramid down operator (twice) and the Canny

* Example 2-9. Getting and setting pixels in Example 2-8

* Example 2-10. The same object can load videos from a camera or a file

* Example 2-11. A complete program to read in a color video and write out the log-polar-

* Example 4-1. Summation of a multidimensional array, done plane by plane

* Example 4-2. Summation of two arrays using the N-ary operator

* Example 4-3. Printing all of the nonzero elements of a sparse array

* Example 4-4. A better way to print a matrix

* Example 5-1. Complete program to alpha-blend the ROI starting at (0,0) in src2 with the ROI starting at (x,y) in src1

* Example 7-1. Using the default random number generator to generate a pair of integers

* Example 8-1. Unpacking a four-character code to identify a video codec

* Example 8-2. Using cv::FileStorage to create a .yml data file

* Example 8-3. Using cv::FileStorage to read a .yml file

* Example 9-1. Creating a window and displaying an image in that window

* Example 9-2. Toy program for using a mouse to draw boxes on the screen

* Example 9-3. Using a trackbar to create a “switch” tha t the user can turn on and off;

* Example 9-4. Slightly modified code from the OpenCV documentation that draws a

* Example 9-5. An example program ch4_qt.cpp, which takes a single argument

* Example 9-6. The QMoviePlayer object header file QMoviePlayer.hpp

* Example 9-7. The QMoviePlayer object source file: QMoviePlayer.cpp

* Example 9-8. An example program which takes a single argument

* Example 9-9. The WxMoviePlayer object header file WxMoviePlayer.hpp

* Example 9-10. The WxMoviePlayer object source file WxMoviePlayer.cpp

* Example 9-11. An example header file for our custom View class

* Example 10-1. Using cv::threshold() to sum three channels of an image

* Example 10-2. Alternative method to combine and threshold image planes

* Example 10-3. Threshold versus adaptive threshold

* Example 11-1. An affine transformation.

* Example 11-2. Code for perspective transformation

* Example 11-3. Log-polar transform example

* Example 12-1. Using cv::dft() and cv::idft() to accelerate the computation of

* Example 12-2. Using cv::HoughCircles() to return a sequence of circles found in a

* **EXTRA** Example 12-3. Using GrabCut for background removal

* **EXTRA** Example 12-4. Using GrabCut for background removal

* Example 13-1. Histogram computation and display

* Example 13-2. Creating signatures from histograms for EMD; note that this code is the

* Example 13-3. Template matching

* Example 14-1. Finding contours based on a trackbar’s location; the contours are

* Example 14-2. Finding and drawing contours on an input image

* Example 14-3. Drawing labeled connected components

* Example 14-4. Using the shape context distance extractor

* Example 15-1. Reading out the RGB values of all pixels in one row of a video and

* Example 15-2. Learning a background model to identify foreground pixels

* Example 15-3. Computing the on and off-diagonal elements of a variance/covariance model

* Example 15-4. Codebook algorithm implementation

* Example 15-5. Cleanup using connected components

* **EXTRA** Example 15-6, using OpenCV's background subtractor class.  Modified by Gary Bradski, 6/4/2017

* Example 16-1. Pyramid L-K optical flow

* **EXTRA** Example 16-2. 2D Feature detectors and 2D Extra Features framework

* Example 17-1. Kalman filter example code

* Example 17-2. Farneback optical flow example code

* Example 18-1. Reading a chessboard’s width and height, reading them and calibrating 

* **EXTRA** Example 18-1. From disk. Reading a chessboard’s width and height, reading them and calibrating 

* Example 19-1. Bird’s - eye view

* Example 19-2. Computing the fundamental matrix using RANSAC

* Example 19-3. Stereo calibration, rectification, and correspondence

* Example 19-4. Two-dimensional line fitting

* Example 20-01. Using K-means

* Example 20-02. Using the Mahalanobis distance for classification

* Example 21-1. Creating and training a decision tree

* Example 22-1. Detecting and drawing faces



### IMAGES:



* box.png

* box_in_scene.png

* checkerboard9x6.png

* example_16-01-imgA.png

* example_16-01-imgB.png

* faces.png

* BlueCup.jpg

* HandIndoorColor.jpg

* HandOutdoorColor.jpg

* HandOutdoorSunColor.jpg

* adrian.jpg

* faceScene.jpg

* faceTemplate.jpg

* fruits.jpg

* stuff.jpg



### MOVIES:



* test.avi

* tree.avi



### CLASSIFIERS:



* haarcascade_frontalcatface.xml           #Cat faces!

* haarcascade_frontalcatface_extended.xml

* haarcascade_frontalface_alt.xml



### DIRECTORIES:



* birdseye     -- where the images are of checkerboards on the floor

* build        -- you will make and build things in this directory

* calibration  -- checkerboard images to calibrate on

* muchroom     -- machine learning database

* shape_sample -- silhoette shapes to recognize

* stereoData   -- left, right image pairs of checkboards to calibrate and view on



## LINKS:

Click the Download Zip button to the right to download example code.



Visit the catalog page [here](http:*shop.oreilly.com/product/0636920044765.do).



See an error? Report it [here](http:*oreilly.com/catalog/errata.csp?isbn=0636920044765), or simply fork and send us a pull request