face-parsing.PyTorch
deepface
face-parsing.PyTorch | deepface | |
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4 | 14 | |
2,092 | 10,005 | |
- | - | |
0.0 | 9.6 | |
12 months ago | 7 days ago | |
Python | Python | |
MIT License | MIT License |
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face-parsing.PyTorch
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How to do Human Head Segmentation from images?
Segmentation of head / body - I'd either use mediapipe pose and make something cleverly cut where I wanted based on the landmarks, or I'd use pytorch face parsing if you want to be very exact. I found both of these fairly easy to get to run.
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[P] I made FaceShop! Instance segmentation + CGAN for editing faces (badly)
BiSeNet
Uses a mix of instance segmentation (BiSeNet) and conditional GAN, and is heavily inspired by the Pix2PixHD and DeepSIM papers. Will have more details when I wake up!
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[P] Face make up powerd by deep learning | change color of lips, eyes and eyeglasses
I've developed a demo of human face make-up. The main tech used is face parsing.To get lips, eyes and eyeglasses mask, I perform face parsing based on face-parsing.PyTorch. After that, color changing is done in HSV color space.
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"]
What are some alternatives?
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
insightface - State-of-the-art 2D and 3D Face Analysis Project
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
facenet - Face recognition using Tensorflow
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
facematch - Facematch is a tool to verifies if two photos contain the same person.
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
textgenrnn - Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
SemanticSegmentation - A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation
yolov8-face - yolov8 face detection with landmark
CelebAMask-HQ - A large-scale face dataset for face parsing, recognition, generation and editing.
EagleEye - Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search.