Tiny_Faces_in_Tensorflow
retinaface
Tiny_Faces_in_Tensorflow | retinaface | |
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1 | 2 | |
379 | 958 | |
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0.0 | 7.7 | |
about 4 years ago | 2 days ago | |
Python | Python | |
MIT License | MIT License |
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Tiny_Faces_in_Tensorflow
retinaface
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what is the best and most optimized model for face detection/face alignment. best for cuda
I tried this implementation https://github.com/serengil/retinaface
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Using Edge Biometrics For Better AI Security System Development
For face detection, we used the RetinaFace model with a MobileNet backbone from the InsightFace project. This model outputs four coordinates for each detected face on an image as well as 5 facial landmarks. The fact that images captured at different angles or with different optics can change the proportions of the face due to distortion. This may cause the model to struggle identifying the person.
What are some alternatives?
facenet - Face recognition using Tensorflow
yolov8-face - yolov8 face detection with landmark
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
szabadfogasu-maszk - A face mask detection system using Tensorflow/Keras and OpenCV, for the "<19 Szabadfogású Számítógép" competition in 2020.
face-alignment - :fire: 2D and 3D Face alignment library build using pytorch
insightface - State-of-the-art 2D and 3D Face Analysis Project
ECAPA-TDNN - Unofficial reimplementation of ECAPA-TDNN for speaker recognition (EER=0.86 for Vox1_O when train only in Vox2)
tiny - Tiny Face Detector, CVPR 2017
facial-recognition - Controlling user authentication with facial recognition