Skip to main content

Image processing library

Project description

Pylena image processing library

image alt pipeline image alt python coverage image alt cpp coverage

Pylena is the Python interface to the modern C++ image processing library Pylene. Its aim is to fill the three following requirements:

  • Interactivity
  • Genericity
  • Efficiency

Many image processing libraries succeed to fill these requirements but they are still limited by the static nature of the C++ language, where the genericity, based on templates, is resolved at compile time. Thus, the goal of this library is to tackle this problem.

Supported Python version

Currently, Pylena is tested and provides wheel for the following Python version:

  • CPython 3.8
  • CPython 3.9
  • CPython 3.10
  • CPython 3.11
  • CPython 3.12

Installation

Pylena is available on the PyPI server and can be simply installed with pip by executing the following command:

$ pip install pylena

Documentation

The documentation is available here.

Contributing

If you find any bug or have any suggestions, feel free to create a new issue here or send an email to baptiste.esteban@epita.fr.

Licence

Mozilla Public License Version 2.0

Project details


Download files

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

Source Distribution

pylena-0.1.4.tar.gz (38.2 kB view details)

Uploaded Source

Built Distributions

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

pylena-0.1.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (822.7 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

pylena-0.1.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (823.1 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

pylena-0.1.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (819.4 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

pylena-0.1.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (820.4 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

pylena-0.1.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (819.2 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

File details

Details for the file pylena-0.1.4.tar.gz.

File metadata

  • Download URL: pylena-0.1.4.tar.gz
  • Upload date:
  • Size: 38.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.15

File hashes

Hashes for pylena-0.1.4.tar.gz
Algorithm Hash digest
SHA256 438707bc227bc424c0a6f2089feacd349466c42604368e72949fcad19076abad
MD5 f56ccb8d8a18aba7b3d3d64210da946f
BLAKE2b-256 18540e106863871eb11734b567740e68b6aa384276c47aa12c4251aca59e8724

See more details on using hashes here.

File details

Details for the file pylena-0.1.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylena-0.1.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9fb3c82ca302170004bcf5134cdc905cdc9d0d65f7e383541a85b673c643c9ae
MD5 3f0394b674d0b203768a425409673ec0
BLAKE2b-256 66d13271bf90b7421dcf2b705169f68c254aaf91531e1e6079e4688f29847cea

See more details on using hashes here.

File details

Details for the file pylena-0.1.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylena-0.1.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5f06f5970b109c36fd11b4c4f84fa7cfbc0f12970036b33f6b9ef9a2c700c659
MD5 f23bdc3df032e2bd210745a8ae55bae1
BLAKE2b-256 0623be789fc35e67e26d3e5510e26af2d9527ab9259840dcade1394326a9d148

See more details on using hashes here.

File details

Details for the file pylena-0.1.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylena-0.1.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bad6ce27f6c1520548a3b0ccfc88bbdf9e23ba352ec2231898e93271433dff41
MD5 a79e67f1d6bed8c05f955f041f7d7447
BLAKE2b-256 7030b2262620c9b0f0c759cf2cd4d33102541baab31e23eb8e7d53450a140fba

See more details on using hashes here.

File details

Details for the file pylena-0.1.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylena-0.1.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6935e980577325d61a18d248b4a70391c4fd8434501e6c37725687641ec65014
MD5 068cb6eef74a94026fadc520d83326a4
BLAKE2b-256 005ff212911108175f66e4f0694c9aef41db1df86e2122e03d380cd1fc62d0e6

See more details on using hashes here.

File details

Details for the file pylena-0.1.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pylena-0.1.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 af0b6c8b897587581eaa43e4734dab59686ec1e8cddf09db64646d50b47dd0e1
MD5 043f09c1161214b2351731c89cf013de
BLAKE2b-256 68a0ea7f2450eafa6195b696fcb73a08c23e2984d3eb9f022f3d626887290d66

See more details on using hashes here.

Supported by

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