facenet-pytorch
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facenet-pytorch | deface | |
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4 | 6 | |
4,144 | 540 | |
- | 6.9% | |
3.8 | 6.1 | |
20 days ago | 6 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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Need to watch through 100s of hours of surveylance footage - AI solution?
with some python knowledge you can try a two step procedure: 1) extract a number of frames per second, for example five frames (images, i.e. still frames) per second using opencv or ffmpeg 2) Using facenet: detect faces in frames and then classify them by comparing each image to a known image of the person you are looking for.
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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.
deface
- Deface: Video Anonymization by Face Detection
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is there a ez to use tool for automatic anonymization of faces in videos
i did find this but no good at programing i just drag and drop program i don`t have time to lurn to program as i for get how to spell that is all
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can some one make an inter face for this note i am no good at programing
as i am no good at programing i have been looking for a program that dose what this one dose with out the need of knowing how to use the command line this
- Caffè Italia * 02/01/22
What are some alternatives?
anime-face-detector - Anime Face Detector using mmdet and mmpose
DeepCamera - Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more
CompreFace - Leading free and open-source face recognition system
Face Recognition - The world's simplest facial recognition api for Python and the command line
OpenCV - Open Source Computer Vision Library
face-alignment - :fire: 2D and 3D Face alignment library build using pytorch
pytorch2keras - PyTorch to Keras model convertor
PySceneDetect - :movie_camera: Python and OpenCV-based scene cut/transition detection program & library.
facenet - Face recognition using Tensorflow
OpenSeeFace - Robust realtime face and facial landmark tracking on CPU with Unity integration
DeepFake-Detection - Towards deepfake detection that actually works