Image Feature Extraction
MLX
English
data-label-factory
vision
dataset-labeling
object-detection
apple-silicon
gemma
falcon-perception
openrouter
yolo
Instructions to use waltgrace/data-label-factory with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use waltgrace/data-label-factory with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir data-label-factory waltgrace/data-label-factory
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 609 Bytes
b2cb1e4 4cda727 b2cb1e4 4cda727 b2cb1e4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | """Compatibility shim for older pip versions that can't read pyproject.toml."""
from setuptools import setup, find_packages
setup(
name="data-label-factory",
version="0.2.0",
description="Generic auto-labeling pipeline for vision datasets.",
packages=find_packages(),
python_requires=">=3.9",
install_requires=[
"pyyaml>=6.0",
"pillow>=9.0",
"requests>=2.28",
],
entry_points={
"console_scripts": [
"data_label_factory=data_label_factory.cli:main",
"data-label-factory=data_label_factory.cli:main",
],
},
)
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