facenet-pytorch
facenet
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facenet-pytorch | facenet | |
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4 | 5 | |
4,072 | 13,452 | |
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3.8 | 0.0 | |
16 days ago | 8 months ago | |
Python | Python | |
MIT License | MIT License |
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facenet-pytorch
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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
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Random but unrepeated combinations?
For now, I am trying to evaluate and get the accuracy of the FaceNet module. Like this example on facenet-pytorch, getting the accuracy relies on this file (pairs.txt) provided by the official site. Format description below:
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Query regarding Multiple face recognization system
It's generally better to split the task into a multiple tasks. First I'd want to detect and extract faces. There are a number of pretrained models that you could use for that, e.g. https://github.com/timesler/facenet-pytorch, https://github.com/opencv/opencv/tree/master/data/haarcascades. Once you've extracted faces, you can train a facial recognition using something like a siamese network as you normally would.
facenet
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CompreFace - Free and open-source self-hosted face recognition system from Exadel
As for me, openface is already outdated - the latest release was in 2016. If you look for a library, the easiest to use is ageitgey/face_recognition. The more accurate libraries are davidsandberg/facenet and deepinsight/insightface.
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Man with foot up on desk in Pelosi's office at Capitol arrested
He might just be a solid techie because the scripts are freely available on github. https://github.com/davidsandberg/facenet
I did a quick google search and found this (Face Recognition using Tensorflow)[https://github.com/davidsandberg/facenet].
Technically anyone can do this, but you will need to know a bit of the tools (and possibly some programming). There's a bunch of models and techniques for image recognition (for example - https://github.com/davidsandberg/facenet)
What are some alternatives?
insightface - State-of-the-art 2D and 3D Face Analysis Project
deepface - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Face Recognition - The world's simplest facial recognition api for Python and the command line
CompreFace - Leading free and open-source face recognition system
anime-face-detector - Anime Face Detector using mmdet and mmpose
DeepStack - The World's Leading Cross Platform AI Engine for Edge Devices
OpenCV - Open Source Computer Vision Library
pytorch2keras - PyTorch to Keras model convertor
Tiny_Faces_in_Tensorflow - A Tensorflow Tiny Face Detector, implementing "Finding Tiny Faces"
face-api - FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS