facenet
Face recognition using Tensorflow (by davidsandberg)
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 (by SharpAI)
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facenet | DeepCamera | |
---|---|---|
5 | 9 | |
13,493 | 1,703 | |
- | 2.1% | |
0.0 | 2.3 | |
9 months ago | 8 months ago | |
Python | JavaScript | |
MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
facenet
Posts with mentions or reviews of facenet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-07.
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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As for me, openface is already outdated - the latest release was in 2016.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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Facial recognition using cluster
ML training is practically impossible on micro-controllers. Inferencing on the other hand is quite doable, especially if aided by a [TPU coprocessor](https://coral.ai/products/accelerator/). Supposedly with the TPU you can do some quantization-aware training, but I haven't tried this. I am working on a security system that does facial recognition to recognize me and some friends and considers anyone else as an intruder. How I am doing this is by retraining [Facenet](https://github.com/davidsandberg/facenet) with my facial embeddings. Use something like Haar Cascade in OpenCV to get the bounding box for a face and put it through the model to extract face embeddings. You can then save these embeddings as a sort of databases for the faces you want it to recognize during the inferencing phase. After that you can impose something like a SVM classifier to say who in your face database it is. One thing I will note is that the problem is even easier if you are only concerned with one face - in which case it is technically face identification - not recognition. If that is the case, you only need to do a difference calculation between the embeddings you saved during training and the result output from inferencing. If you do end up using the TPU, you can connect to it over USB from inside a container (I only know how to do this in Docker though) too. Hope this was helpful. I am actually looking to use a k8s cluster eventually too as a sort of smart hub for my security system and other devices so I can handle much more traffic (not sure if this is overkill or not on the pi 4s).
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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
DeepCamera
Posts with mentions or reviews of DeepCamera.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-30.
- Open-Source AI Camera
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Upgrade any camera/cctv to AI based intruder detection without monthly fee
Repo Link: https://github.com/SharpAI/DeepCamera
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Yolov7 Person recognition(REID) with Python
SharpAI yolov7_reid is an open source python application leverages AI technologies to detect intruder with traditional surveillance camera. Source code is hosted on github
- DeepCamera: Local inference engine, Home Assistant intrusion detection AI camera
- SharpAI Open Source intruder detection w Home-Assistant supports local deployment now
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New smart home project. Customer development stage.
For smart home, the best solution from open source community is Home-Assistant, 99% of home-assistant installation has camera integration. We open-sourced AI based intrusion detection with camera and integration with home-assistant: https://github.com/SharpAI/DeepCamera
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SharpAI open source camera based intrusion detection w/ Home-Assistant
7. How to deploy your own API server from source code
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SharpAI open source camera based intrusion detection w/ Home-Assistant integration
0. Register and Install sharpai-cli https://github.com/SharpAI/DeepCamera
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Private Home Security and AI
Shinobi + DeepCamera?
What are some alternatives?
When comparing facenet and DeepCamera you can also consider the following projects:
insightface - State-of-the-art 2D and 3D Face Analysis Project
frigate - NVR with realtime local object detection for IP cameras
deepface - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
DeepStack - The World's Leading Cross Platform AI Engine for Edge Devices
Face Recognition - The world's simplest facial recognition api for Python and the command line
CompreFace - Leading free and open-source face recognition system
deface - Video anonymization by face detection
ailia-models - The collection of pre-trained, state-of-the-art AI models for ailia SDK
anime-face-detector - Anime Face Detector using mmdet and mmpose
tensorflow-on-arm - TensorFlow for Arm