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
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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