Skip to content

python bindings for FLANN - Fast Library for Approximate Nearest Neighbors.

License

Notifications You must be signed in to change notification settings

primetang/pyflann

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

pyflann

###1. Introduction

pyflann is the python bindings for FLANN - Fast Library for Approximate Nearest Neighbors.

###2. Install

For python2

This package uses distutils, which is the default way of installing python modules. To install in your home directory, securely run the following:

git clone https://github.com/primetang/pyflann.git
cd pyflann
[sudo] python setup.py install

Or directly through pip to install it:

[sudo] pip install pyflann

For python3

Please refer to this issuse to modify the code.

###3. Usage

Use it just like the following code:

from pyflann import *
import numpy as np

dataset = np.array(
    [[1., 1, 1, 2, 3],
     [10, 10, 10, 3, 2],
     [100, 100, 2, 30, 1]
     ])
testset = np.array(
    [[1., 1, 1, 1, 1],
     [90, 90, 10, 10, 1]
     ])
flann = FLANN()
result, dists = flann.nn(
    dataset, testset, 2, algorithm="kmeans", branching=32, iterations=7, checks=16)
print result
print dists

dataset = np.random.rand(10000, 128)
testset = np.random.rand(1000, 128)
flann = FLANN()
result, dists = flann.nn(
    dataset, testset, 5, algorithm="kmeans", branching=32, iterations=7, checks=16)
print result
print dists

About

python bindings for FLANN - Fast Library for Approximate Nearest Neighbors.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages