FLANN (for IBEIS) - Fast Library for Approximate Nearest Neighbors
Project description
..|CircleCI||Travis||Appveyor|
This is a Fork of the FLANN repo, under a different name for use in the IBEIS project. The main difference is that it has a few more helper function calls and it should be easier build wheels and to pip install.
FLANN - Fast Library for Approximate Nearest Neighbors
FLANN is a library for performing fast approximate nearest neighbor searches in high dimensional spaces. It contains a collection of algorithms we found to work best for nearest neighbor search and a system for automatically choosing the best algorithm and optimum parameters depending on the dataset. FLANN is written in C++ and contains bindings for the following languages: C, MATLAB, Python, and Ruby.
Documentation
Check FLANN web page [here](http://www.cs.ubc.ca/research/flann).
Documentation on how to use the library can be found in the doc/manual.pdf file included in the release archives.
More information and experimental results can be found in the following paper:
Marius Muja and David G. Lowe, “Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration”, in International Conference on Computer Vision Theory and Applications (VISAPP’09), 2009 [(PDF)](http://people.cs.ubc.ca/~mariusm/uploads/FLANN/flann_visapp09.pdf) [(BibTex)](http://people.cs.ubc.ca/~mariusm/index.php/FLANN/BibTex)
Getting FLANN
If you want to try out the latest changes or contribute to FLANN, then it’s recommended that you checkout the git source repository: git clone git://github.com/mariusmuja/flann.git
If you just want to browse the repository, you can do so by going [here](https://github.com/mariusmuja/flann).
Conditions of use
FLANN is distributed under the terms of the [BSD License](https://github.com/mariusmuja/flann/blob/master/COPYING).
Bug reporting
Please report bugs or feature requests using [github’s issue tracker](http://github.com/mariusmuja/flann/issues).
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
File details
Details for the file pyflann_ibeis-2.2.0.tar.gz.
File metadata
- Download URL: pyflann_ibeis-2.2.0.tar.gz
- Upload date:
- Size: 187.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f872cbc9070f87167f7302b2687f03c5836b14dd3e2a5084b4e4433fe7089f19 |
|
| MD5 | 18222befcda698ae672015d1e38b1d25 |
|
| BLAKE2b-256 | 03b004dce81e8e93e8fae86c45a9502679b05cdd38f290fd0adaad7cb57ed860 |
File details
Details for the file pyflann_ibeis-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: pyflann_ibeis-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 6.4 MB
- Tags: CPython 3.10, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 73a752ab5a77621aa69e4f9e82e20134aed86cc987e9cba84b8ee0941ce4c4a3 |
|
| MD5 | 533bcbd4aedd75efb9cb2374c0f51e71 |
|
| BLAKE2b-256 | e8c94e832d1e94f782b3bbbd181b1f63e2083469341eb2b9b61e1bb4773d99c1 |
File details
Details for the file pyflann_ibeis-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: pyflann_ibeis-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 6.4 MB
- Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | dad9cd58c16c01f4025df27192c3a486e426f27e0f639271d4917970e56c2897 |
|
| MD5 | d7ceefdc7a374e4f9899803eba2219bb |
|
| BLAKE2b-256 | 435449f4fffb8f9111f426d1687e45bea42376f63937567ed097f79f134cad02 |
File details
Details for the file pyflann_ibeis-2.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: pyflann_ibeis-2.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 6.4 MB
- Tags: CPython 3.8, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f0410af89884b26fba33dfe6af4eeb0d51a85919b69f2934ada28f1cd15dbe91 |
|
| MD5 | a7b47ca984ae5a72a66775649cb12f5c |
|
| BLAKE2b-256 | c948211dceaeb8ab3bdc7162c9e4f7bda7e3ac92d9068da4cbc5846eb9dcdf75 |
File details
Details for the file pyflann_ibeis-2.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: pyflann_ibeis-2.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 6.4 MB
- Tags: CPython 3.7m, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c3660a60da48fc6bc8cddc5723134400836573b96d576242d3ef70d80cf13c31 |
|
| MD5 | c3cf7dabf77c4e0bd278f2815cfdbab8 |
|
| BLAKE2b-256 | 1b26d9de29bcd549548d03e4001ef580d2ebe30c7666a39910a25077cf3c7e14 |
