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* Added tf detection api tfrecord import and export * Added export button in dashboard * Add tf to requirements * Extend test * Add tf dependency * Require images in tfrecord export * Add video task case handling * Maintain image order in CVAT export * Fix Task image id-path conversions * Update tfrecord tests * Extend image utilities * Update tfrecord format * Fix image loading bug * Add some logs * Add 'copy' option to project import command * Reduce default cache size |
6 years ago | |
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| .. | ||
| datumaro | 6 years ago | |
| docs | 6 years ago | |
| tests | 6 years ago | |
| README.md | 6 years ago | |
| datum.py | 6 years ago | |
| requirements.txt | 6 years ago | |
| setup.py | 6 years ago | |
| test.py | 6 years ago | |
README.md
Dataset framework
A framework to prepare, manage, build, analyze datasets
Documentation
Installation
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
Execution
The tool can be executed both as a script and as a module.
PYTHONPATH="..."
python -m datumaro <command>
python path/to/datum.py
Testing
python -m unittest discover -s tests