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Facenet-pytorch Alternatives
Similar projects and alternatives to facenet-pytorch
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deepface
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InfluxDB
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pytorch_resnet_cifar10
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Real-time-GesRec
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better facenet-pytorch alternative or higher similarity.
facenet-pytorch reviews and mentions
Posts with mentions or reviews of facenet-pytorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-22.
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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.
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A note from our sponsor - WorkOS
workos.com | 23 Apr 2024
Stats
Basic facenet-pytorch repo stats
4
4,144
3.8
18 days ago
timesler/facenet-pytorch is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of facenet-pytorch is Python.
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