Skip to main content

Utilities for deep learning on multimodal data.

Project description

visiontext

minimal build 3.10 status minimal build 3.12 status
full build 3.10 status full build 3.12 status
coverage version

Utilities for deep learning on multimodal data.

  • jupyter notebooks / jupyter lab / ipython
  • matplotlib
  • pandas
  • webdataset / tar
  • pytorch

Install

Requires python>=3.10, requires pytorch to be installed already, see https://pytorch.org/

pip install visiontext

Full build

Additionally requires libjpeg-turbo and sqlite

pip install visiontext[full]

Dev install

Clone repository and cd into, then:

pip install pytest pytest-cov pylint black[jupyter]
pylint visiontext
pylint tests

# full build
pip install -e .[full]
python -m pytest --cov

# minimal build
pip install -e .
python -m pytest --cov -m "not full"

Changelog

  • 0.23.1: Drop python 3.8 support since PyTorch dropped it. Set minimum python version as 3.10.
    • PyTorch disabled the install via conda, change builds to install PyTorch CPU via pip.
  • 0.10.1: Test with python 3.12
  • 0.8.1: Set minimum python version to 3.8 since PyTorch requires it

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

visiontext-0.32.5.tar.gz (69.7 kB view details)

Uploaded Source

Built Distribution

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

visiontext-0.32.5-py3-none-any.whl (81.7 kB view details)

Uploaded Python 3

File details

Details for the file visiontext-0.32.5.tar.gz.

File metadata

  • Download URL: visiontext-0.32.5.tar.gz
  • Upload date:
  • Size: 69.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.16

File hashes

Hashes for visiontext-0.32.5.tar.gz
Algorithm Hash digest
SHA256 6924c07b49fadf048d36b8f0f7c58c5cf72e89544412ef802b140b662878b5cf
MD5 fc6c52eb55e36476d7052281eb713e1d
BLAKE2b-256 ef5b8efa62476df1ae9d36c2ba2a5c90328221da587f3a88f016cd10df300efc

See more details on using hashes here.

File details

Details for the file visiontext-0.32.5-py3-none-any.whl.

File metadata

  • Download URL: visiontext-0.32.5-py3-none-any.whl
  • Upload date:
  • Size: 81.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.16

File hashes

Hashes for visiontext-0.32.5-py3-none-any.whl
Algorithm Hash digest
SHA256 e37bc887bbfb1edda4aba943592d3ca0947f927ed830d1ec923cee8c3663b009
MD5 6f7439c961fc3157529e8304d0fd7a37
BLAKE2b-256 9293965e6f7bedd46835a844b98b01f097eb4108849463f8121174feada59e73

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