Skip to main content

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.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pymaxflow-1.3.2.tar.gz (1.3 MB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

PyMaxflow-1.3.2-cp313-cp313-win_amd64.whl (104.8 kB view details)

Uploaded CPython 3.13Windows x86-64

PyMaxflow-1.3.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (937.3 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

PyMaxflow-1.3.2-cp313-cp313-macosx_11_0_arm64.whl (122.6 kB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

PyMaxflow-1.3.2-cp313-cp313-macosx_10_13_x86_64.whl (131.6 kB view details)

Uploaded CPython 3.13macOS 10.13+ x86-64

PyMaxflow-1.3.2-cp312-cp312-win_amd64.whl (105.0 kB view details)

Uploaded CPython 3.12Windows x86-64

PyMaxflow-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (939.2 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

PyMaxflow-1.3.2-cp312-cp312-macosx_11_0_arm64.whl (123.5 kB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

PyMaxflow-1.3.2-cp312-cp312-macosx_10_13_x86_64.whl (132.9 kB view details)

Uploaded CPython 3.12macOS 10.13+ x86-64

PyMaxflow-1.3.2-cp311-cp311-win_amd64.whl (105.4 kB view details)

Uploaded CPython 3.11Windows x86-64

PyMaxflow-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (941.4 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

PyMaxflow-1.3.2-cp311-cp311-macosx_11_0_arm64.whl (123.1 kB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

PyMaxflow-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl (129.4 kB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

PyMaxflow-1.3.2-cp310-cp310-win_amd64.whl (105.4 kB view details)

Uploaded CPython 3.10Windows x86-64

PyMaxflow-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (894.4 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

PyMaxflow-1.3.2-cp310-cp310-macosx_11_0_arm64.whl (122.2 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

PyMaxflow-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl (128.5 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

PyMaxflow-1.3.2-cp39-cp39-win_amd64.whl (106.1 kB view details)

Uploaded CPython 3.9Windows x86-64

PyMaxflow-1.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (897.4 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

PyMaxflow-1.3.2-cp39-cp39-macosx_11_0_arm64.whl (123.8 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

PyMaxflow-1.3.2-cp39-cp39-macosx_10_9_x86_64.whl (129.3 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

File details

Details for the file pymaxflow-1.3.2.tar.gz.

File metadata

  • Download URL: pymaxflow-1.3.2.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.15

File hashes

Hashes for pymaxflow-1.3.2.tar.gz
Algorithm Hash digest
SHA256 19f1668dd718d1451a1ad18902ac674b1b380cda1150c855b5e817f1b0de3095
MD5 c430f1d8e289d1bcc0627b183e92aaa0
BLAKE2b-256 f4d8a719512ee03084541fc8e6f1fa06be366fb97f9c39f0b3b3bba7364769e8

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: PyMaxflow-1.3.2-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 104.8 kB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.13

File hashes

Hashes for PyMaxflow-1.3.2-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 32961f56bd5033a70931f1b98f9ec666c2fa2dfc0843b92d7cc32a81ad2d7dee
MD5 6546d0c6d3918df54e526366e4369665
BLAKE2b-256 ceeddd5c1d0ee1f31d78b05a0fc26b2d0f93d0e54d81fed47f02dbcf7e80a8ab

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for PyMaxflow-1.3.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 771f7711a78bc8ef1b698d75c4139d949b7aeb0e11def4e70709d4c74e022b67
MD5 ebaaa065570c1289a021c6350fed9ac2
BLAKE2b-256 a29f6bc30bff12281449e38db93313bae71e08c776ecae310bd7f2efd7ef5ad4

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for PyMaxflow-1.3.2-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 90138b38fb1a5067acec05a4c938fff24d8f1f2dca8c4dd81f763d5f452d8464
MD5 b779add90fc244c9a7c54c563e8a50eb
BLAKE2b-256 291a151bcdb6e13dc9d5919868f24ac49dcb342c19f53531d4f2736833fd4b10

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for PyMaxflow-1.3.2-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 a0374ba195103374a4d66e87e5cb70cc876c4f963834b95a7d7c0cb28405b465
MD5 68928940399a7b3e9ea762405e5fddf5
BLAKE2b-256 315bfd45da95eae07a22c5adbdc354763b205c8d267a79741b1fa6deef909950

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: PyMaxflow-1.3.2-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 105.0 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.13

File hashes

Hashes for PyMaxflow-1.3.2-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 95072906a5df055b656e1aa4e1b010d7b883d9cfb2ca990d915f79663bdd72aa
MD5 bdf8f4ad894f43c45dd24dba3a651a39
BLAKE2b-256 471cb384d2cd6f9cbbf4a2c80dff70d5cecb74320061d68bc33e5bce18b16dc1

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for PyMaxflow-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5fb2116d3949f2ae8a4897c7e54ffa9892c866b17c48bdf6bd182d730aae6581
MD5 820687d9691509b01dd009287906278b
BLAKE2b-256 8baa90df81ac75f0a12961c04b339394510e8f526bb251f61f750787b5cbcc90

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for PyMaxflow-1.3.2-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0f9e26ea0cbd8c28771e8244b2de55ac146e77048452054b4dda7fcabd24f557
MD5 59f8ef67ac65049b1a6081d89b045bc7
BLAKE2b-256 f2ac50e6685e98ab7735f3178d2f6df395222a3455eacbd471287fdd8f074897

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for PyMaxflow-1.3.2-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 5098692e804682a1a4129e52c4a3b6f33b3269af467cf48a1a7fd453728a053d
MD5 5fb7097f2c953cf5bc665f2c69206ba9
BLAKE2b-256 6d37e0ea14f87718f161e12b8f8b3271b6757db3caa03deea2eb85434a1c0143

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: PyMaxflow-1.3.2-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 105.4 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.13

File hashes

Hashes for PyMaxflow-1.3.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 92d95f5d04c6d79e06c464fd9a83e9108131d0577c6de2b320cc3946fa04ad28
MD5 b9cd70b9bd759d650d80676ab5e0d792
BLAKE2b-256 4d6d1633c2a10b2e368c651396910e235b62026c62657808d5754ddd6233628e

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for PyMaxflow-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 df7b5bdc04d6ad685228299f122a930ab9fe47a37f613309de0618c040af00f3
MD5 8b6c142a28a657a6de6dc7ba263bb4dc
BLAKE2b-256 611fda408c87ec1a8e8533f8c37071d4b69848b4d767b0267a388571f5cc27df

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for PyMaxflow-1.3.2-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 6d6836a8a2adcc92e1a31effffce3389d6649d3f8eb07610e9cfde9d01369c70
MD5 3db59184fdec83da1cb9686b3290d2a7
BLAKE2b-256 6f6e31b1b57bb020b3b0481f23a5ed196cdc432227600a96a5e6b5d73280349b

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for PyMaxflow-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 72416c85b540d8619e437081c311267cb6f642f11c1d39c54330b4efc0165f2b
MD5 7a6e76b62ccab6c087f6bb470af94bb2
BLAKE2b-256 73d6e15724819b9c7c771db652c80a8d8aeb2848e747b161bc96a81de4d4e8d6

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: PyMaxflow-1.3.2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 105.4 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.13

File hashes

Hashes for PyMaxflow-1.3.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 dc649497dde46c77e770f6a33c0b9ea0de39fb158e471b4a68cd956ed3bf45c6
MD5 b6867df3df32cc2573ce80da9ba5507a
BLAKE2b-256 f65743b908b28af715b36ba41d6d943b6005ab8326ea5e78d92b3d4051169b81

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for PyMaxflow-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1bfb92ff74cd94643abf24a887a868b4821162484ea85e4429d630132b29eed4
MD5 a79d09112ecbbfae3b6cd55ad545df5b
BLAKE2b-256 1af9d51a4283c6d43455dde20fc5429edac8211b3e804dea40c40492991fa3cd

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for PyMaxflow-1.3.2-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3c9281afcf4d03ee46bd9bfca76f412e622ac5819da17177cb1fca13d1de3e24
MD5 d8e2881f89115a50baf8ef913a82a625
BLAKE2b-256 85097ad4e58f3f2ab9802e60d1a6991cdd280a741401785a095b205ff4005602

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for PyMaxflow-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 999b3e97e691394f2702a35a381e5f23e603f12093262cea58194078036887ac
MD5 d162523de8b6a8a14865427423ec23f6
BLAKE2b-256 ad4d5bb2abeae6a7d9bae093ba58ec042eb220ce74e5fb1d2f16c33e2104d35f

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: PyMaxflow-1.3.2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 106.1 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.13

File hashes

Hashes for PyMaxflow-1.3.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 a4896619cf81f5e6953f7ff21beced19a58b31a6975518707a41d8f7a5ad94fd
MD5 7f61750754eb389c835ec36aa7ea7bb9
BLAKE2b-256 81ca49bc12e0922bc46cab7161d19d7005bab9f0e52f4ae318576640f6ab88a8

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for PyMaxflow-1.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 aa2a264579b11fa733784b6a51a79a44b6884461fd8975619875164e5fdbdc09
MD5 4e465f03f9f2e538bf8ca2bc473a0e48
BLAKE2b-256 4782a727cb8c2e6966622e48ac4372e38ce36ac599314b2ab0d4730df8a0278a

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for PyMaxflow-1.3.2-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 52a974f8edc61e5a9210bcef708c5c230f34f1885546d03af6c42e10c41bf96a
MD5 d21481a518df3cd1ff5e9275f5a7a27f
BLAKE2b-256 0249a72d63f59b76fccfc6851b1696e72e51a1d92a1af3b2b2ba4ca83c3bdb81

See more details on using hashes here.

File details

Details for the file PyMaxflow-1.3.2-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for PyMaxflow-1.3.2-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 826c39c2761d34f7901c5c1848a3b281aac3d49de7ff73c510c81134e81d7b3c
MD5 15f675bd9801f7877609c14482fe1cfe
BLAKE2b-256 4a64ede03e60a08ed4d5750327fade12e1c25216f3ac64911ae36326de8fea18

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

1.3.2 This release

21 files

1.3.0

19 files

1.2.15

19 files

1.2.14

25 files

1.2.13

2 files

1.2.12

3 files

1.2.11

3 files

1.2.10

2 files

1.2.9

1 file

1.2.4

1 file

1.2.3

1 file

1.2.1

1 file

1.2.0

1 file

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page