yolov5-face
yolov8-face
| yolov5-face | yolov8-face | |
|---|---|---|
| 2 | 2 | |
| 1,941 | 386 | |
| 1.9% | - | |
| 3.7 | 4.7 | |
| about 1 month ago | about 1 month ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 only |
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yolov5-face
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What are the fastest face decection liblaries for detect faces in a video?
If they are few faces and close to the camera try Mediapipe. If they are many try https://github.com/deepcam-cn/yolov5-face or train your own.
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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
What are some alternatives?
AnonFACES
retinaface - RetinaFace: Deep Face Detection Library for Python
DeepPrivacy - DeepPrivacy: A Generative Adversarial Network for Face Anonymization
deepface - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Adaptive-Face-Recognition
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