Fast FHOG feature extraction for Python

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  • License: Boost Software License 1.0
  • Author: SplitFace Project
  • Tags hog , fhog , feature-extraction , computer-vision , facial-analysis
  • Requires: Python >=3.8
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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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  • License: Boost Software License 1.0
  • Author: SplitFace Project
  • Tags hog , fhog , feature-extraction , computer-vision , facial-analysis
  • Requires: Python >=3.8
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This version

0.1.5

0.1.4

0.1.3

0.1.1

0.1.0

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