yolov8-face
| yolov8-face | Adaptive-Face-Recognition | |
|---|---|---|
| 2 | 2 | |
| 386 | 5 | |
| - | - | |
| 4.7 | 3.0 | |
| about 1 month ago | about 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
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yolov8-face
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[D] Face encoding and face clustering
Hello. Q1: I have a large collection of files from which i have to encode faces. Until now, the fastest way i've found is to use a yolov8 finetune model (https://github.com/derronqi/yolov8-face) for face detection and the face_recognition library for encoding in a 128. I've tried using deepface but it's much slower.
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[D] Fast face recognition over video
Hijacking this comment because i've been working nonstop on my project thanks to your suggestion. I'm now using this https://github.com/derronqi/yolov8-face for face detection and still the old face_recognition for encodings. I'm clustering with dbscan and extracting frames with ffmpeg with -hwaccel on. I'm planning to try this: https://github.com/timesler/facenet-pytorch as it looks like it would be the fastest thing avaiable to process videos? Keep in mind i need to perform encoding other than just detection because i want to use DBscan (and later also facial recognition, but this might be done separately just by saving the encodings). let me know if you have any other suggestions, and thanks again for your help
Adaptive-Face-Recognition
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[D] Face encoding and face clustering
Hey, checkout my github project for advanced facial recognition here. My system will be able to build these face descriptors per-person in the data loading set, and you should be able to (after providing an example per-person) build a recognition model to learn and therefore cluster the faces in your dataset
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Self-Improving Face Recognition System
Link to Project
What are some alternatives?
retinaface - RetinaFace: Deep Face Detection Library for Python
deepface - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
yolov5-face - YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)
facenet-pytorch - Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
inference - A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
anylabeling - Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!
segment-anything-video - MetaSeg: Packaged version of the Segment Anything repository