Skip to main content

Utilities for deep learning on multimodal data.

Project description

visiontext

minimal build 3.9 status minimal build 3.10 status minimal build 3.12 status
full build 3.9 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-0.33.8.tar.gz (78.3 kB view details)

Uploaded Source

Built Distribution

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

visiontext-0.33.8-py3-none-any.whl (92.4 kB view details)

Uploaded Python 3

File details

Details for the file visiontext-0.33.8.tar.gz.

File metadata

  • Download URL: visiontext-0.33.8.tar.gz
  • Upload date:
  • Size: 78.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.23

File hashes

Hashes for visiontext-0.33.8.tar.gz
Algorithm Hash digest
SHA256 136e39f13ffb4e9760ed0181a5b6c85b4ffe5b47d215dea09588bf500f34324c
MD5 9f70fc6d2003209a39529cd3481f1a03
BLAKE2b-256 baa796781e7c07e64035a9b49d206d8d93df005b81cf5f68e102fab0d8ac9be6

See more details on using hashes here.

File details

Details for the file visiontext-0.33.8-py3-none-any.whl.

File metadata

  • Download URL: visiontext-0.33.8-py3-none-any.whl
  • Upload date:
  • Size: 92.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.23

File hashes

Hashes for visiontext-0.33.8-py3-none-any.whl
Algorithm Hash digest
SHA256 9721c5c51ba52785d8160611996a9035a1a9ccf6d083db0c7b3c10efd654720d
MD5 787c12c0638b403ee6899239596e8425
BLAKE2b-256 04cd9cf0aac5fb09f864ffe4b36cb9bfba69ff7ca8e6b34531e125ef1aa76471

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