GitXplorerGitXplorer
m

matlab-opencv-interop

public
2 stars
2 forks
0 issues

Commits

List of commits on branch master.
Unverified
1d6aa606716e1321efa9f38bdaefbfd75853e7b6

Examine leaves updated to return samples.

mmalcolmreynolds committed 13 years ago
Unverified
5aaf691d2da94ba3d5230b0e8a878b1e22526cb0

Fixing up looking sharp on rf_examine_leaves.cpp

mmalcolmreynolds committed 13 years ago
Unverified
63f23589df9e20cb38d3f2c0aa8a7555dab3cfbb

Examine leaves now returns full tree structure.

mmalcolmreynolds committed 13 years ago
Unverified
9e679c7e8fabb57fcf34ecfb7089e4f2895a954b

Removed debug from two files, now defined in Makefile.

mmalcolmreynolds committed 13 years ago
Unverified
751ac0d2b49894940404723e9ff1106651744185

Examining of leaves done. Smacked it.

mmalcolmreynolds committed 13 years ago
Unverified
10e34f682ad52f06cf0e6e02319e8bd7db561099

rf_examine_leaves working but needs to extract full tree.

mmalcolmreynolds committed 13 years ago

README

The README file for this repository.

OpenCV bindings for Matlab - Readme

malcolm.reynolds@gmail.com

This is a simple set of bindings for a very small subset of OpenCV functionality so that it can be called from Matlab. I wrote these bindings for just the bits of OpenCV I needed for a specific project, which was mainly the Random Forest implementation. If you need bindings for lots of other parts of the system, it's probably time to switch to Python like I'm doing.

Anyway, the included Makefile works on OS X (64 bit) and with suitable modifications to the configuration to the bits at the top I'm sure it can be made to work for any platform that matlab runs on.

Requirements:

  • Matlab: Works on 2010rb and 2009aSV. In principle any version that includes MEX support should be fine.
  • OpenCV: Tested on OpenCV 2.x. This library seems to get reorganised fairly frequently so some headers / includes might need changing at some point...
  • C++ compiler: tested with GCC, but whatever Matlab wraps with the 'mex' command should be fine.

Matlab needs to be installed such that you can type "mex" to run it in a terminal. The actual file should be in your matlab installation in the bin/ directory.

OpenCV's libraries and include files must be given to the makefile - I use a shell script to print out the locations of this (in -I/some/include/directory -L/some/library/directory -lfirstlibrary -lsecondlibrary format), which is the opencv-comp in the makefile. You can just manually enter them here too if you like, but if you ever do any other opencv compilation on the command line the shell script is handy.

One you're compiled you should have a bunch of .mexw32 / .mewx64 / .mexmaci64 / whatever files sitting in the same directory as the source files. Point Matlab's PATH to them and you're good to go.

Disclaimer

This was written for a single project, and it worked for me. No guarantees - I saw some particularly gnarly crashing bugs on Windows XP 32 bit when I ported it over, but I simply do not have the inclination to find out what's going on there. I was planning to expand this to cover more opencv functionality, but I am switching my workflow to Python/Scipy/Numpy for the future. However, this is here just in case anyone wants simple, high performance, reliable random forests in matlab.

All complaints to malcolm.reynolds@gmail.com - if you use this for something useful, I would love to hear about it.