This repository provides an incredibly light-weight implementation of the gray-scale feature extractor from: "Beyond simple features: A large-scale feature search approach to unconstrained face recognition"
Use
pip install simplefeature
or
git clone https://github.com/joelb92/simplefeature.git && cd simplefeat && python setup.py install
import simplefeature
import cv2
im = cv2.imread("/home/face.jpg")
embedding = simplefeature.extract(im)
Inputs will be scaled to 200x200px The system outputs a 51200-d vector
Please cite this paper:
Cox, David, and Nicolas Pinto. "Beyond simple features: A large-scale feature search approach to unconstrained face recognition."
2011 IEEE International Conference on Automatic Face & Gesture Recognition (FG). IEEE, 2011.
1 maintainer
Release files for simplefeature 1.1.2
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| simplefeature-1.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Release files / simplefeature-1.1.2-py3-none-any.whl
| Download URL | simplefeature-1.1.2-py3-none-any.whl |
|---|---|
| Size | 2.6 kB |
| Tags | Python 3 |
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