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History

Nikita Manovich a5c3da1235 Cleanup Dockerfiles for CVAT (#1060 ) * Replaced wget by curl * Moved CI stuff into Dockerfile.ci * Use docker-compose to run commnands inside docker (need environment variables) * Added patool again (to support different archive formats) * Roll back tensorflow version: 1.15 -> 1.13.1 Fixed https://github.com/opencv/cvat/issues/982 Fixed https://github.com/opencv/cvat/issues/1017 * datumaro install tensorflow 2.x now. It breaks automatic annotation using TF. * Follow redirects in curl (auto_segmentation)		6 years ago
..
datumaro	Cleanup Dockerfiles for CVAT (#1060 )	6 years ago
docs	Add dataset export facility (#813 )	6 years ago
tests	[Datumaro] Dataset annotations filter (#1053 )	6 years ago
README.md	Add dataset export facility (#813 )	6 years ago
datum.py	Add dataset export facility (#813 )	6 years ago
requirements.txt	Cleanup Dockerfiles for CVAT (#1060 )	6 years ago
setup.py	[Datumaro] Instance polygon-mask conversions in COCO format (#1008 )	6 years ago
test.py	Add dataset export facility (#813 )	6 years ago

Dataset framework

A framework to prepare, manage, build, analyze datasets

Documentation

Python3.5+ is required.

To install into a virtual environment do:

python -m pip install virtualenv
python -m virtualenv venv
. venv/bin/activate
pip install -r requirements.txt

The tool can be executed both as a script and as a module.

PYTHONPATH="..."
python -m datumaro <command>
python path/to/datum.py

python -m unittest discover -s tests