Instructions to use fahimahamed1/NeoNude with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fahimahamed1/NeoNude with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fahimahamed1/NeoNude", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 547 Bytes
995526c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | """
OpenCV image transforms used in the pipeline.
Phase 0: dress -> correct (color correction)
Phase 2: mask -> maskref (mask refinement)
Phase 4: maskdet -> maskfin (mask finalization with body annotations)
"""
from .annotation import BodyPart
# Re-export public functions
from .correct import correct_color # noqa: F401
from .maskref import create_maskref # noqa: F401
from .maskfin import create_maskfin # noqa: F401
__all__ = [
"BodyPart",
"correct_color",
"create_maskref",
"create_maskfin",
]
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