Intro
This tool is meant to help create a custom dataset by picking and choosing class names from pre-existing datasets.
Limitations
- The dataset YAML file is expected to be called data.yaml
- The 'path' variable in data.yaml is not processed. It is assumed that the dataset root path is the directory where data.yaml resides and all data is present already.
- The script variable in data.yaml is not processed. Make sure all data is present.
Usage
If a path ends on data.yaml it will take that file into account. If a path doesn't end on /data.yaml it will recursevly look for all data.yaml files from that directory downards. e.g.
from YoloDatasetCustomizer import YoloDatasetCustomizer
ydc = YoloDatasetCustomizer(list_to_existing_datasets)
ydc.add([one_more_existing_dataset])
if ydc.create_new_dataset_for_class_names(set_of_wanted_class_names, optional_custom_path, optional_custom_name):
print("All good")
else:
print("Oh no.")
Run tests
The project uses uv. Install dependencies and run tests with:
uv run pytest
Lint & type-check
uv run ruff check src test
uv run mypy
Build project
Build the package
uv build
Publish to PyPI (still need twine)
uv pip install twine
uv run twine upload dist/\*
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