These instructions explain how to setup VLFeat in MATLAB (at least 2009B) using the binary distribution (it is also possible to compile the library and toolbox from source, including running on earlier MATLAB versions by disabling some features such as OpenMP support).

# One-time setup

Download and unpack the latest VLFeat binary distribution in a directory of your choice (e.g. `~/src/vlfeat`). Let `VLFEATROOT` denote this directory. VLFeat must be added to MATLAB search path by running the `vl_setup` command found in the `VLFEATROOT/toolbox` directory. From MATLAB prompt enter

>> run('VLFEATROOT/toolbox/vl_setup') VLFeat 0.9.17 ready.

To check that VLFeat is sucessfully installed, try to run the `vl_version` command:

>> vl_version verbose VLFeat version 0.9.17 Static config: X64, little_endian, GNU C 40201 LP64, POSIX_threads, SSE2, OpenMP 4 CPU(s): GenuineIntel MMX SSE SSE2 SSE3 SSE41 SSE42 OpenMP: max threads: 4 (library: 4) Debug: yes SIMD enabled: yes

# Permanent setup

To permanently add VLFeat to your MATLAB environment, add this line to your `startup.m` file:

run('VLFEATROOT/toolbox/vl_setup')

When you restart MATLAB, you should see the VLFeat greeting message.

# Getting started

All commands embed interface documentation that can be viewed with the builtin `help` command (e.g. `help vl_sift`).

VLFeat bundles a large number of demos. To use them, add the demo path with `vl_setup demo`. For example, a sift demo `vl_demo_sift_basic` can be run using the following:

>> vl_setup demo >> vl_demo_sift_basic

To see a list of demos TAB-complete `vl_demo` at MATLAB prompt, after running `vl_setup demo`.