Fast FHOG feature extraction for Python
Project description
pyfhog
Python wrapper for dlib's FHOG (Felzenszwalb HOG) feature extraction.
Installation
pip install pyfhog
Usage
import pyfhog
features = pyfhog.extract(image, cell_size=8)
What it does
Extracts FHOG features identical to OpenFace 2.2 (validated r=1.0, RMSE=0.0). Uses dlib's optimized C++ SIMD implementation under the hood.
Citation
If you use this in research, please cite:
Wilson IV, J., Rosenberg, J., Gray, M. L., & Razavi, C. R. (2025). A split-face computer vision/machine learning assessment of facial paralysis using facial action units. Facial Plastic Surgery & Aesthetic Medicine. https://doi.org/10.1177/26893614251394382
License
CC BY-NC 4.0 — free for non-commercial use with attribution.
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