multi-object-tracker
Face Recognition
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| multi-object-tracker | Face Recognition | |
|---|---|---|
| 4 | 28 | |
| 610 | 47,661 | |
| - | - | |
| 3.9 | 3.3 | |
| 4 months ago | 13 days ago | |
| Python | Python | |
| MIT License | MIT License |
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multi-object-tracker
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Tracking mentions began in Dec 2020.
Face Recognition
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Made a easy to use face recognition library
It is similar to https://github.com/ageitgey/face_recognition, except that Ageitgey's cli only compares the first face found in the image to the first one found the the second.
- Face comparison in Stable Diffusion
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Any algorithm to get coordinates of classified face?
face_recognition - fairly easy install as long as dlib compiles for you. Should be able to get your face location ok. This is the older, most mature, but doesn't have as many features and might not have the accuracy of other models. Able to do face recognition.
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student in desperate need of help/ guidance
You could start with DLIB and Geitgey's Face Recognition. They are pretty off-the-shelf packages, which should run fine on a single Intel processor (considering it's not too old).
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suggestion on an image management/image regconition software
I tried https://github.com/ageitgey/face_recognition and https://github.com/esimov/pigo so far and they both work OK, but from there, you would need to add EXIF tags into your pictures, so they can be picked up by img-DB.
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How to embed a dlib based face recognition library written in python?
I want use this library: https://github.com/ageitgey/face_recognition. Its a python library based on https://dlib.net for face recognition
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Photo auto-tagging and facial rec scripts/apps
There's quite a few decent python scripts/libraries that would do the job quite simply, such as https://github.com/ageitgey/face_recognition so you could script something up reasonably easily.
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Database for Face Recognition
So I've been using this Python library to build a simple, Flask based application to recognize a face in an uploaded image from an already encoded set of known faces and it's works pretty well.
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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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Top 5 Python libraries for Computer vision
Face Recognition - Simple facial recognition library. Recognize and manipulate faces from Python or from the command line with the world's simplest face recognition library. Built using dlib's state-of-the-art face recognition built with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark.
What are some alternatives?
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
insightface - State-of-the-art 2D and 3D Face Analysis Project
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
CompreFace - Leading free and open-source face recognition system
Milvus - A cloud-native vector database with high-performance and high scalability.
OpenCV - Open Source Computer Vision Library
norfair - Lightweight Python library for adding real-time multi-object tracking to any detector.
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
Kornia - Open Source Differentiable Computer Vision Library
Dlib - A toolkit for making real world machine learning and data analysis applications in C++
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
SimpleCV - The Open Source Framework for Machine Vision