This is the example code that accompanies Learning OpenCV 3 by Adrian Kaehler and Gary Bradski (9781491937990).
In progress May 24, 2017
In progress June 13, 2017
In progress June 20, 2017
In progress June 22, 2017
To do:
Chapter 15Chapter 16Chapter 17Chapter 18Chapter 19Chapter 20- Chapter 21
- Chapter 22
- Submit associated errata for
15 1617 18 19 20 21 22 Make sure all headers statewhat what in the book it relates toMake sure all functions havea help function for how to run them- Throw in some bonus material
background subtraction- feature detector/descriptors
More machine learning(?) ... ongoing!- Some new stuff in opencv_contrib
- Some DNN examples(?)
Throw in some exercises... ongoing!
For default suggestions of how the run the code, it assumes you put your build directory under Learning-OpenCV-3_examples directory. Thus, you
Previously, from the Learning-OpenCV-3_examples directory:
- mkdir build
- Then:
- cd build
- cmake ..
- make -j
Note, 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
- 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
Click the Download Zip button to the right to download example code.
Visit the catalog page here.
See an error? Report it here, or simply fork and send us a pull request