deface
Video anonymization by face detection (by ORB-HD)
face-alignment
:fire: 2D and 3D Face alignment library build using pytorch (by 1adrianb)
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| deface | face-alignment | |
|---|---|---|
| 6 | 5 | |
| 540 | 6,793 | |
| 6.9% | - | |
| 6.1 | 4.8 | |
| 6 months ago | 6 months ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
deface
Posts with mentions or reviews of deface.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-17.
- Deface: Video Anonymization by Face Detection
-
is there a ez to use tool for automatic anonymization of faces in videos
i did find this but no good at programing i just drag and drop program i don`t have time to lurn to program as i for get how to spell that is all
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can some one make an inter face for this note i am no good at programing
as i am no good at programing i have been looking for a program that dose what this one dose with out the need of knowing how to use the command line this
- Caffè Italia * 02/01/22
face-alignment
Posts with mentions or reviews of face-alignment.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-22.
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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?
When comparing deface and face-alignment you can also consider the following projects:
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
3DDFA - The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
Face Recognition - The world's simplest facial recognition api for Python and the command line
first-order-model - This repository contains the source code for the paper First Order Motion Model for Image Animation
facenet-pytorch - Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
DensePose - A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body