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-0.11.3.tar.gz
(38.6 kB
view hashes)
Built Distribution
Close
Hashes for visiontext-0.11.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 183861b2fe9cedcbc7da01998b959a8674061031a39824a8184940f95b18c14e |
|
MD5 | 2c6e8dc1ae54f0e160f53bf8418fcc06 |
|
BLAKE2b-256 | 814abdb2a943c576277b337e1d6ababecebe306babbc9780aaa3629cc45a4df6 |