deepface
textgenrnn
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deepface | textgenrnn | |
---|---|---|
14 | 7 | |
9,920 | 4,943 | |
- | - | |
9.5 | 0.0 | |
9 days ago | almost 2 years ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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.
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"]
textgenrnn
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Modern alternative to textgenrnn?
Try this: 1) (Not sure if that's necessary.) Uninstall textgenrnn: pip3 uninstall textgenrnn. 2) Install it using one of this commands: * pip3 install git+git://github.com/minimaxir/textgenrnn.git * pip3 install git+https://github.com/minimaxir/textgenrnn.git (Try the first one, but if it'll raise an error, try the second one.) That's discussion about this "multi_gpu_model not found" error: https://github.com/minimaxir/textgenrnn/issues/222.
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How do you get a Python IDE to execute Python code?
Thanks! PyCharm seems to work well enough. However, I'm not sure how to run an existing project. I successfully imported this github release: https://github.com/minimaxir/textgenrnn But I don't see any "main" file that can be executed. If I run the "setup.py" file, it complains that there is "no command to be executed." Also, import commands seem to fail, even though I literally have the files in the project that I'm trying to import. :/ I don't know how I'm supposed to run commands defined in the project if they can't be imported into a script.
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I trained a neural network on every town and village name in England and then made a website that lets you generate them
This is an utterly fantastic question but I actually don't understand much about neural nets at all, and am just using a prebuilt python library is basically text based neural nets for idiots (https://github.com/minimaxir/textgenrnn) Happy to share data though if you want to find this out and would know how?
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The Office - an episode generated by NN
Python package: Textgenrnn
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makeitmetal.net - A metal band name generator using Python/Tensorflow
I started off with the model from textgenrnn, which is an RNN with LSTM layers. I'm not an expert on deep learning or different model architectures, and textgenrnn is a great starting point because you can use pretrained weights as a starting point for your model. I tweaked the model architecture slightly to allow multiple context labels, but most of the work on this project was porting the model to TensorFlow.js so it could run in the browser once I'd trained it in Python.
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What's wrong with my import?
Is it installed? https://github.com/minimaxir/textgenrnn#usage
What are some alternatives?
insightface - State-of-the-art 2D and 3D Face Analysis Project
gpt-2-simple - Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
facenet - Face recognition using Tensorflow
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
facematch - Facematch is a tool to verifies if two photos contain the same person.
Spectrum - Spectrum is an AI that uses machine learning to generate Rap song lyrics
yolov8-face - yolov8 face detection with landmark
DeepAA - make ASCII Art by Deep Learning
EagleEye - Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search.
autokeras - AutoML library for deep learning
CompreFace - Leading free and open-source face recognition system
build_a_neural_net_live - The LSTM Neural net code for @Sirajology on Youtube's live video