Utilities for deep learning on multimodal data.
Project description
visiontext
Utilities for deep learning on multimodal data.
- jupyter notebooks / jupyter lab / ipython
- matplotlib
- pandas
- webdataset / tar
- pytorch
Install
Requires python>=3.8
pytorch
sqlite
pip install visiontext
Full build
Additionally requires libjpeg-turbo
:
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
- 0.10.1: 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-0.18.6.tar.gz
(46.6 kB
view hashes)
Built Distribution
Close
Hashes for visiontext-0.18.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7d81a746c7f0aeada8fb8563b871aa05ba3b56c239e2a9476c175c005cf6ad6c |
|
MD5 | 415e3731fa608d767903ddc2b5a2effa |
|
BLAKE2b-256 | 5e685f4f0a18dcb017a93f608246bcec2bdd875b5e358b61e9cd545ddb11c51e |