No project description provided
Project description
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
2. ~~~
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Hashes for simplefeature-1.1.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 608787e69b9e929a176daa2aa7cd29201dd2cfbea2c86f9c3f81d325b033dda3 |
|
MD5 | 250a57e4468baac54681a34414b1c4cf |
|
BLAKE2b-256 | a07ad685fd01c27e5503af91d0f2dec395362b7a33f346a14125c612f47dab6a |