Universal Data Tool Python

Python module for data labeling leveraging the Universal Data Tool.

Features

Open Universal Data Tool in Jupyter notebook
Massage data into and out of the UDT format

Usage

pip install universaldatatool

import universaldatatool as udt

ds = udt.Dataset(
    type="image_segmentation",
    image_paths=["/path/to/birds/good_bird.jpg","/path/to/birds/bird2.jpg"],
    labels=["good bird", "bad bird"]
)

# Opens dataset directly in jupyter notebook
ds.open()

API

Submodules

udt.nb: jupyter notebook widget

Methods

udt.load_json(file_path): Load UDT File from json
udt.load_csv(file_path): Load UDT File from csv
udt.Dataset(type=None, image_paths=None, labels=None)
udt.Interface(type=None, labels=None): Create UDT interface
udt.Sample(image_url=None, document=None, ...) : Create UDT Sample
udt.nb.display(udt_file): Display Universal Data Tool widget

TODOs

Development

Running Cypress Tests

Cypress will automatically open a browser and create jupyter notebooks with different test scenarios. It's really fast for developing and testing. To use it, you must first run our jupyter docker container, which mounts volumes properly such that universaldatatool can be imported. To do this, run:

yarn start:jupyter

A jupyter notebook is now running in the background.

You can now run the cypress tests in development mode by running...

yarn cy:run

An electron browser will open with automated tests.

How To Test

Each file in the universaldatatool/tests directory can be tested with pytest e.g.

python -m pytest universaldatatool/tests/example1.py

Releasing

License

UniversalDataTool/python-universaldatatool

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