CompreFace
facenet-pytorch
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CompreFace | facenet-pytorch | |
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28 | 4 | |
3,810 | 4,072 | |
6.0% | - | |
8.3 | 3.8 | |
4 days ago | 16 days ago | |
Java | Python | |
Apache License 2.0 | MIT License |
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CompreFace
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Double-Take not getting enough events/images from Frigate?
# https://github.com/exadel-inc/CompreFace/blob/master/docs/Face-services-and-plugins.md)
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DeepStack (dead?) vs CompreFace (slow?)
I looked at Double Take (UI that lets you do the training of your face recondition easily) and found CompreFace as one of models they support. It looks like what I need but there is a catch... no OpenVino (intel CPUs AI accelerator) support. I really like my low power NVR setup and would like keep it that way. Running AI on CPU without acceleration is both power inefficient and much slower. I have a spare low end GPU but if dump it in the system the current AI acceleration brakes... (I know I can prob fix it but that is a rabbit hole I would prefer to avoid).
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self Hosted face recognition software
This has good UI and also good recognition: https://github.com/exadel-inc/CompreFace
- Do we have good, gpu accelerated, text-to-speech, speech-to-text, image/video-to-text face/object recognition that is open source and self-hosted ?
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need help installing a software in Ubuntus terminal
Not sure what exactly you think this software is going to help with but the install instructions are available here.
wget -q -O tmp.zip 'https://github.com/exadel-inc/CompreFace/releases/download/v1.1.0/CompreFace_1.1.0.zip' && unzip tmp.zip && rm tmp.zip
- Face comparison in Stable Diffusion
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hey guys which is the best tool for making facial recognition using single image in deep learning
If you are looking for open source stuff and are able to self-host it, maybe have a look at CompreFace.
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[P] Facial Recognition with AWS Rekognition or Azure Vision
For face recognition - CompreFace. Disclaimer - I created it, as an alternative you can use MachineBox, but it's not open source and has limits. Also, I think, you will use some software to control the system, e.g. Frigate or Home Assistant, I think this repository can be useful for you.
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Database for Face Recognition
If you have a really simple application, you can just save the encodings into the files. If not - it's better to use a database. SQL is ok. But for the best results, I would suggest using milvus.io, as it was created for saving vectors and finding the distances (I haven't tried it, though). If your final goal is not to learn face recognition basics, you can just use free ready to use solutions like CompreFace and Machinebox
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.
What are some alternatives?
double-take - Unified UI and API for processing and training images for facial recognition.
frigate - NVR with realtime local object detection for IP cameras
Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.
Face Recognition - The world's simplest facial recognition api for Python and the command line
insightface - State-of-the-art 2D and 3D Face Analysis Project
librephotos - A self-hosted open source photo management service. This is the repository of the backend.
facenet - Face recognition using Tensorflow
Milvus - A cloud-native vector database, storage for next generation AI applications
react-native-camera - A Camera component for React Native. Also supports barcode scanning!
anime-face-detector - Anime Face Detector using mmdet and mmpose
OpenCV - Open Source Computer Vision Library
core - .NET news, announcements, release notes, and more!