DeepStack
facenet
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DeepStack | facenet | |
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8 | 5 | |
643 | 13,493 | |
- | - | |
0.0 | 0.0 | |
12 months ago | 9 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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.
DeepStack
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Code Project AI crashes constantly
I don't know the solution to your problem but you can download deep stack here
- CodeProject.AI Support?
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Deepstack link?
You can download the latest release from their github as well: https://github.com/johnolafenwa/DeepStack/releases/tag/2022.01.1
- Immich - Self-hosted backup photos/videos from your mobile phone (kinda Google Photos replacement) - Progress update May, 22nd 2022. Now with the web interface to view backup assets and user management.
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Error: DeepStack Alert Filter: DeepStack Alert Filter: The operation was canceled.
3) There appears to be a bug with the VISION-FACE module. Some details here: https://github.com/johnolafenwa/DeepStack/issues/99
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Deepstack: Open-Source AI Server
It took quite a bit of clicking to unearth the GitHub repo for this: https://github.com/johnolafenwa/DeepStack#readme and there seem to be plenty of other DeepStack-ish repos in the user's profile
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Any new cool Dockers I have missed the past couple years?
Deepstack - https://github.com/johnolafenwa/DeepStack
- Deepstack AI web site
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As for me, openface is already outdated - the latest release was in 2016.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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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
What are some alternatives?
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
insightface - State-of-the-art 2D and 3D Face Analysis Project
facial-recognition - Controlling user authentication with facial recognition
deepface - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
awesome-tiny-object-detection - 🕶 A curated list of Tiny Object Detection papers and related resources.
Face Recognition - The world's simplest facial recognition api for Python and the command line
vaultwarden - Unofficial Bitwarden compatible server written in Rust, formerly known as bitwarden_rs
CompreFace - Leading free and open-source face recognition system
overseerr - Request management and media discovery tool for the Plex ecosystem
anime-face-detector - Anime Face Detector using mmdet and mmpose
immich - High performance self-hosted photo and video management solution.
facenet-pytorch - Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models