A mincut/maxflow package for Python
Project description
PyMaxflow is a Python library for graph construction and maxflow computation (commonly known as graph cuts). The core of this library is the C++ implementation by Vladimir Kolmogorov, which can be downloaded from his homepage. Besides the wrapper to the C++ library, PyMaxflow offers
NumPy integration,
methods for the construction of common graph layouts in computer vision and graphics,
implementation of algorithms for fast energy minimization which use the maxflow method: the alpha-beta-swap and the alpha-expansion.
Project details
Release history Release notifications | RSS feed
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 PyMaxflow-1.3.0.tar.gz
.
File metadata
- Download URL: PyMaxflow-1.3.0.tar.gz
- Upload date:
- Size: 1.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 94d7bc9c0c7b5a8bfe8cca87bcce4a4aa3bd749e03c5c5bcf3fb2a7a86e7af90 |
|
MD5 | 5d98a91ba66ddc3b3467ab8998d6dfbf |
|
BLAKE2b-256 | c27903cff794dad40abe2b4952e1f441653bc9a2c7f0179d08b6c0809651bc9a |
File details
Details for the file PyMaxflow-1.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: PyMaxflow-1.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 134.5 kB
- Tags: PyPy, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b311da3ec4dbf11a26204911d70c8fde80458789fff59107783250bc5a7026a8 |
|
MD5 | bd2e210be272133e05ff9d7221ef3d07 |
|
BLAKE2b-256 | 0556c23f58e70b102e7aff004fa11d4de5b97bee0129a3c558f3154ef228310e |
File details
Details for the file PyMaxflow-1.3.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: PyMaxflow-1.3.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 137.9 kB
- Tags: PyPy, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4ef254eb611fd4b88b6b1e63b223608958164043c134bfc7cff1723c8adbe8d9 |
|
MD5 | e8949c8c06ca5a15347f1b2f375d5b64 |
|
BLAKE2b-256 | 31585d29a948a88056991251931082a5ae8ac6ead966f5fe81fe9965514094fe |
File details
Details for the file PyMaxflow-1.3.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: PyMaxflow-1.3.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 139.5 kB
- Tags: PyPy, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 96590d84b0915ab79c75631dd3b2c77b2f84ac0c1f9a42c03d6102ac226a44e6 |
|
MD5 | 2642c28bbbd340dbb6854e92c79877c1 |
|
BLAKE2b-256 | 5685b0b46b46598b2fece7e773c106b3c61d042f2d3f44ec57df5bd2850cb1c8 |
File details
Details for the file PyMaxflow-1.3.0-cp311-cp311-win_amd64.whl
.
File metadata
- Download URL: PyMaxflow-1.3.0-cp311-cp311-win_amd64.whl
- Upload date:
- Size: 85.7 kB
- Tags: CPython 3.11, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1ae521170555505a365dcdc8afc7923ae3a210ec92405320a142b68dfd05c90c |
|
MD5 | b74df876ecac5fa7d931957059b534c7 |
|
BLAKE2b-256 | 456d10282fa28ad43e7baf7dcc9138ec980c1ed108cc9eaa4d58b9cd0346870a |
File details
Details for the file PyMaxflow-1.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: PyMaxflow-1.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 825.1 kB
- Tags: CPython 3.11, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6beaa308abeef595efff684b00e003172dd83281f84cd27f1ae6695ebcdd9cd5 |
|
MD5 | b92dc74fd49e2d15d5e8996b388ee652 |
|
BLAKE2b-256 | 7c8faed4149bba83a649d4aa176486f836feda1c402ba93939cb381b29232641 |
File details
Details for the file PyMaxflow-1.3.0-cp311-cp311-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: PyMaxflow-1.3.0-cp311-cp311-macosx_10_9_x86_64.whl
- Upload date:
- Size: 114.8 kB
- Tags: CPython 3.11, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 54a85c5c209e0076bc588aa71db4e0adc5101b1c482a3c7d4eb8ee40713b6b6b |
|
MD5 | 904cd2b4d1b42d26d927a2372f443eca |
|
BLAKE2b-256 | c5b373da996efa374e1840a6ba6a45b04517539a98495f3d4cd9fe1dc32ecd94 |
File details
Details for the file PyMaxflow-1.3.0-cp310-cp310-win_amd64.whl
.
File metadata
- Download URL: PyMaxflow-1.3.0-cp310-cp310-win_amd64.whl
- Upload date:
- Size: 86.2 kB
- Tags: CPython 3.10, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 78d48c82f0f7593a60ed7d5cf09a7e8ee2d9330f956e5a93159e745fecc2d247 |
|
MD5 | 8485633dc9b25727e3a1b1160fa6ddae |
|
BLAKE2b-256 | 1dc1ec5c7fb77d0b0b92e3e60a62b4d25a9e26ef8b638637e798db9a41c2936a |
File details
Details for the file PyMaxflow-1.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: PyMaxflow-1.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 798.4 kB
- Tags: CPython 3.10, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4838a75031c3ab4537e15d480898ac60bc8ed4b89c6a7a333e3473f076787c65 |
|
MD5 | 39f5208c25d8518739997cecb0469c6d |
|
BLAKE2b-256 | 96770beb97546d0bfaccf9892f0af90283e548c5862481a131e90515a975c966 |
File details
Details for the file PyMaxflow-1.3.0-cp310-cp310-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: PyMaxflow-1.3.0-cp310-cp310-macosx_10_9_x86_64.whl
- Upload date:
- Size: 118.1 kB
- Tags: CPython 3.10, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7064e49edb13738d3b8107ed4da4174058310a23029ba2c260c14ee873d24e15 |
|
MD5 | 686018d663b9368af893bb4739e97a08 |
|
BLAKE2b-256 | 6e84b7938e69c1600b6ba90f61c96d08f4027489f70783926f18efbc207d9b7f |
File details
Details for the file PyMaxflow-1.3.0-cp39-cp39-win_amd64.whl
.
File metadata
- Download URL: PyMaxflow-1.3.0-cp39-cp39-win_amd64.whl
- Upload date:
- Size: 88.2 kB
- Tags: CPython 3.9, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9d9d4655b7b59266c27fe9076fe1656e1b0e3f92a2c3258ee09c39825cd7472e |
|
MD5 | 981133f46aa235a7b2ea8b161f99ed15 |
|
BLAKE2b-256 | dbbe5ff193e6403a12e4ceaf8186195bdeda0718a8ae1680f45ad0eabf4f10cc |
File details
Details for the file PyMaxflow-1.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: PyMaxflow-1.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 811.7 kB
- Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8003f8f1bbf01ae4c23b4bb18cdacaa4fd897a309586e762bc80a0028231c498 |
|
MD5 | 430e5a2a17b0abf8f7b0ede93cfbe18c |
|
BLAKE2b-256 | 1672ef51b3c8ac3f06d06fa3701bc06b5fb1bb4b5f0cd84144ba48d71087d4ba |
File details
Details for the file PyMaxflow-1.3.0-cp39-cp39-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: PyMaxflow-1.3.0-cp39-cp39-macosx_10_9_x86_64.whl
- Upload date:
- Size: 118.4 kB
- Tags: CPython 3.9, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8e92e949e56b5cc004fd53790e037bbe682c39f97de5151aea7845cc2d7fa20a |
|
MD5 | 3fdc58feab7727483334cbada47d5591 |
|
BLAKE2b-256 | ddec7a06f68afd01d367a56854c3724a7ade090bb2fe013fc2fcf1eff321bbe3 |
File details
Details for the file PyMaxflow-1.3.0-cp38-cp38-win_amd64.whl
.
File metadata
- Download URL: PyMaxflow-1.3.0-cp38-cp38-win_amd64.whl
- Upload date:
- Size: 88.3 kB
- Tags: CPython 3.8, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 550cc1de17f460b22c0dbff6198c0bfd2169da2ddf258ad348341a9069770681 |
|
MD5 | 814f68dbcc0a5acd9e719661c69c8813 |
|
BLAKE2b-256 | 968380663790b5e97677cd7e1f2f547fb41e1a1671f76fba2c1e208402644c89 |
File details
Details for the file PyMaxflow-1.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: PyMaxflow-1.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 816.1 kB
- Tags: CPython 3.8, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 47f8d5d09d4f22e4dc42a2a8315a2b6a5a68e58063d288b1e0dc4a4a5bd840ff |
|
MD5 | dda3d768b21a791aa782763ce3096f5e |
|
BLAKE2b-256 | f79d531bac1bee534f2069174a2be859c9b6ba37a519b380a0c9069baece3ffd |
File details
Details for the file PyMaxflow-1.3.0-cp38-cp38-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: PyMaxflow-1.3.0-cp38-cp38-macosx_10_9_x86_64.whl
- Upload date:
- Size: 117.7 kB
- Tags: CPython 3.8, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | eab3e23165552d0a9aeb591f6a7be76f4f70ae1e34925b2ecd38e4bf0b5770f2 |
|
MD5 | fe175aabadcbce5b6815577f0e9e4122 |
|
BLAKE2b-256 | bf016ebc380d37b5a281f01bd6c11ac139876c864a83f406d18c2ba59a9797e1 |
File details
Details for the file PyMaxflow-1.3.0-cp37-cp37m-win_amd64.whl
.
File metadata
- Download URL: PyMaxflow-1.3.0-cp37-cp37m-win_amd64.whl
- Upload date:
- Size: 86.3 kB
- Tags: CPython 3.7m, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 468e37b561b02767721a984134d50c131d140ea5d2c4ea29e03bad5e87fc70e2 |
|
MD5 | 2a80f3138d08f66d3fd0063d058c139b |
|
BLAKE2b-256 | 7244294fd50acf7984d408f4f87c24299527e9b3338d26c6a82348615fdf8333 |
File details
Details for the file PyMaxflow-1.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: PyMaxflow-1.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 784.2 kB
- Tags: CPython 3.7m, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4bf042c187d7bef246ce751de1cb74b97f012bbd5ccfaf2c29290625269e90fe |
|
MD5 | 8cc091451286a0db1faf1c94d6fc9236 |
|
BLAKE2b-256 | 38487d724dead2a4553164582894610fce617de09aa69c90a2fa1c6687c5f392 |
File details
Details for the file PyMaxflow-1.3.0-cp37-cp37m-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: PyMaxflow-1.3.0-cp37-cp37m-macosx_10_9_x86_64.whl
- Upload date:
- Size: 116.3 kB
- Tags: CPython 3.7m, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ae8b1a3c6bdb01ba6ab31b139600cb321bc5af0ba18dda7e0c49a30f4dc4ff1b |
|
MD5 | b2c0fbb09b2d2cf4f2ceb746a0ae955b |
|
BLAKE2b-256 | 88859948d3c6e050e50e29767290ef2036ecef10b5b40c6a21623b5dedebd33e |