deepface
6DRepNet
| deepface | 6DRepNet | |
|---|---|---|
| 14 | 4 | |
| 10,092 | 499 | |
| - | - | |
| 9.6 | 3.7 | |
| about 18 hours ago | about 1 month ago | |
| Python | Python | |
| MIT License | MIT License |
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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"]
6DRepNet
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How to do Human Head Segmentation from images?
Well so it sounds like you want to do something like DeepFaceLab? I don't have a lot of experience with that but I believe they collect facial images based on their angles (pitch, roll and yaw) and match and merge them together. So something like this might help you there: https://github.com/thohemp/6DRepNet
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Head Pose Estimation
I found this was the easiest one to get installed and up and running: https://github.com/thohemp/6DRepNet
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[R] 6D Rotation Representation For Unconstrained Head Pose
Code for https://arxiv.org/abs/2202.12555 found: https://github.com/thohemp/6DRepNet
What are some alternatives?
insightface - State-of-the-art 2D and 3D Face Analysis Project
pytorch-geodesic-loss - A PyTorch criterion for computing the distance between rotation matrices.
facenet - Face recognition using Tensorflow
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
facematch - Facematch is a tool to verifies if two photos contain the same person.
pytorch-learn-reinforcement-learning - A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.
yolov8-face - yolov8 face detection with landmark
Machine-Learning-Collection - A resource for learning about Machine learning & Deep Learning
textgenrnn - Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
DeepPoseKit - a toolkit for pose estimation using deep learning
EagleEye - Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search.
PoseNDF - Implementation of Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields