retinaface
face-alignment
| retinaface | face-alignment | |
|---|---|---|
| 2 | 5 | |
| 958 | 6,811 | |
| - | - | |
| 7.7 | 4.8 | |
| 3 days ago | 6 months ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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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.
face-alignment
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500 Realistic Vision portraits, eyes aligned, sorted by happiness
I used this to detect face landmarks: https://github.com/1adrianb/face-alignment
- Can anyone explain this code
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How to deploy a ML model as an API using Google Compute engine, Docker and flask
FROM nvcr.io/nvidia/cuda:10.0-cudnn7-runtime-ubuntu18.04 RUN DEBIAN_FRONTEND=noninteractive apt-get -qq update \ && DEBIAN_FRONTEND=noninteractive apt-get -qqy install python3-pip ffmpeg git less nano libsm6 libxext6 libxrender-dev \ && rm -rf /var/lib/apt/lists/* COPY . /app/ WORKDIR /app RUN pip3 install --upgrade pip RUN pip3 install \ https://download.pytorch.org/whl/cu100/torch-1.0.0-cp36-cp36m-linux_x86_64.whl \ git+https://github.com/1adrianb/face-alignment \ -r requirements.txt ENTRYPOINT [ "python3" ] CMD [ "app.py" ]
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AR & AI Technologies For Virtual Fitting Room Development
Such an annotation format allows the differentiation of face contour, nose, eyes, eyebrows, and lips with a sufficient accuracy level. The data for training the face landmark estimation model might be taken from such open-source libraries as Face Alignment, providing face pose estimation functionality out-of-the-box.
What are some alternatives?
yolov8-face - yolov8 face detection with landmark
3DDFA - The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
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)
first-order-model - This repository contains the source code for the paper First Order Motion Model for Image Animation
facenet - Face recognition using Tensorflow
DensePose - A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
insightface - State-of-the-art 2D and 3D Face Analysis Project
deface - Video anonymization by face detection
ECAPA-TDNN - Unofficial reimplementation of ECAPA-TDNN for speaker recognition (EER=0.86 for Vox1_O when train only in Vox2)
VTuber_Unity - Use Unity 3D character and Python deep learning algorithms to stream as a VTuber!
tiny - Tiny Face Detector, CVPR 2017
face-detection-algorithms-comparison - Face detection algorithms