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-0.31.4.tar.gz (64.0 kB view details)

Uploaded Source

Built Distribution

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

visiontext-0.31.4-py3-none-any.whl (75.1 kB view details)

Uploaded Python 3

File details

Details for the file visiontext-0.31.4.tar.gz.

File metadata

  • Download URL: visiontext-0.31.4.tar.gz
  • Upload date:
  • Size: 64.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.16

File hashes

Hashes for visiontext-0.31.4.tar.gz
Algorithm Hash digest
SHA256 bde3d52e4c65379f94978a7757f7832fa9c33d225a697fe93b97cc1b1846bfa4
MD5 03cfd659a8ed9a8de278c4a406136961
BLAKE2b-256 d484a91ccb7c197a0099904cc1018b2b9d5e9747d051bc964bb961ccb96bfbee

See more details on using hashes here.

File details

Details for the file visiontext-0.31.4-py3-none-any.whl.

File metadata

  • Download URL: visiontext-0.31.4-py3-none-any.whl
  • Upload date:
  • Size: 75.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.16

File hashes

Hashes for visiontext-0.31.4-py3-none-any.whl
Algorithm Hash digest
SHA256 98e576e5b5945ad7742dd74ecde09c94e81a1078ab8025e998188f508b819cd7
MD5 ab17db5e458a56554d2d4ffe1d8d29b5
BLAKE2b-256 fb1d826a772b85c8dcf563366732dcb66e81fc42beb019aa842dd2294b42e4a3

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