willyfh/farl-face-segmentation
A face segmentation implementation of FarRL model (CVPR 2022) using Facer, a face analysis toolkit for modern research.
This tool helps researchers and computer vision practitioners automatically isolate human faces from any background in images. You provide an image containing one or more faces, and it outputs the image with only the face visible, a black-and-white mask highlighting the face area, and a neatly cropped image of each detected face. It's ideal for anyone working with facial analysis, image processing, or data preparation for machine learning models.
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Use this if you need to precisely separate faces from their surroundings in photos, creating clean images and masks for further analysis or data preparation.
Not ideal if you need to identify specific facial features like eyes, nose, or mouth separately, as this tool merges them into a single 'face' label.
Stars
9
Forks
2
Language
Python
License
MIT
Category
Last pushed
Dec 02, 2023
Commits (30d)
0
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