deepface
yolov8-face
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deepface | yolov8-face | |
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14 | 2 | |
10,005 | 378 | |
- | - | |
9.6 | 4.7 | |
5 days ago | 27 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
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deepface
- AI face similarity checker
- [D] Fast face recognition over video
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How to do Human Head Segmentation from images?
You might also want to categorize using either mediapose's holistic model which includes the face mesh or maybe something that gauges emotion like this: https://github.com/serengil/deepface
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ai vs human guess age.
This is another one I tried but requires programming knowledge. https://github.com/serengil/deepface
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A novel approach to SD animation
It must be a matter of time before we have this, we have so many library's that can detect a face expression. For example: https://github.com/serengil/deepface
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DAM with face recognition
I bought a On1 license, but as you point out, it has no facial recognition nor any plans to add it. That also means it has no concept of face regions as implemented in XMP, so that cannot be retrofitted by running face recognition externally, e.g. using an open-source solution like Deepface.
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Any algorithm to get coordinates of classified face?
deepface - newer version which has multiple face detectors in it you can mess with, dlib included. Also does face recognition.
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hey guys which is the best tool for making facial recognition using single image in deep learning
If you're looking for models / planning to write some code yourself: Have a look at ArcFace for recognition and RetinaFace for face detection by Insightface. DeepFace repository might also be worth a try.
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Models for facial identification?
DeepFace: https://github.com/serengil/deepface
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Best Face Landmark Detection models
DeepFace utilizes a collection of different face detection models listed here: models = ["VGG-Face", "Facenet", "Facenet512", "OpenFace", "DeepFace", "DeepID", "ArcFace", "Dlib", "SFace"]
yolov8-face
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[D] Face encoding and face clustering
Hello. Q1: I have a large collection of files from which i have to encode faces. Until now, the fastest way i've found is to use a yolov8 finetune model (https://github.com/derronqi/yolov8-face) for face detection and the face_recognition library for encoding in a 128. I've tried using deepface but it's much slower.
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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
What are some alternatives?
insightface - State-of-the-art 2D and 3D Face Analysis Project
retinaface - RetinaFace: Deep Face Detection Library for Python
facenet - Face recognition using Tensorflow
yolov5-face - YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)
facematch - Facematch is a tool to verifies if two photos contain the same person.
Adaptive-Face-Recognition
textgenrnn - Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
facenet-pytorch - Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
EagleEye - Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search.
inference - A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
CompreFace - Leading free and open-source face recognition system
segment-anything-video - MetaSeg: Packaged version of the Segment Anything repository