guise
Dlib
guise | Dlib | |
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1 | 33 | |
0 | 13,031 | |
- | - | |
3.9 | 8.2 | |
about 1 year ago | 7 days ago | |
C++ | C++ | |
- | Boost Software License 1.0 |
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guise
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Made a easy to use face recognition library
The source code is on GitHub, https://github.com/ADBeveridge/guise, please star if you like it.
Dlib
- Modern Image Processing Algorithms Implementation in C
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[Cpp] Une assez grande liste de bibliothèques graphiques C ++
dlib
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32 years old. HRT in April or May. Things I can do to maximize results and what to expect.
The apparent gender estimates from photos are using dlib, and I really ought to get what I'm doing cleaned up in such a way that other people can use it easily.
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What are some C++ projects with high quality code that I can read through?
I really like dlib's code https://github.com/davisking/dlib
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C++ for machine learning
Additionally, C++ may be used for extremely high levels of optimization even for cloud-based ML. Dlib and Kaldi are C++ libraries used as dependencies in Python codebases for computer vision and audio processing, for example. So if your application requires you to customize any functions similar to those libraries, then you'll need C++ knowhow.
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What programming language should I learn after C++ for Audio DSP?
If you know C++, you don't need anything else. Go and learn APIs for C++ libraries. If you're into DSP, why not study Dlib?.
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Exponential vs linear progress?
The data is mostly in this spreadsheet. The apparently facial gender estimates are made with Dlib. The mental health assessments are from Beck's Depression Inventory and the Snaith-Hamilton Pleasure Scale. The graph is made with gnuplot.
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Flutter OpenCV and dlib for face detector & recognition
The plugin uses dlib library with a very fast HOG detector for both face recognition and detector following the relative examples.
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How long after starting HRT did facial recognition not recognize you?
The dlib facial recognition model thinks that I am now a distance of about 0.3 from where I started, which is far enough to start getting many false positive matches, but still within the design intent that different pictures of the same individual will be within 0.6 of each other.
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Does hrt effect facial recognition software?
Dlib's face recognition module thinks that I am about 0.25 units away from where I started; its design intent is that distinct individuals will be 0.6 or more apart, although in practice other people start showing up around 0.3.
What are some alternatives?
FacialRecognition - Face Recognition using face_recognition module and face encoding in Python
mlpack - mlpack: a fast, header-only C++ machine learning library
Random-Face-Generator - A Cross-Platform(Web, Android, iOS, Linux and Macos) app to Generate Faces of People (These people don't actually exist) made using Flutter.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
flutter_opencv_dlib - Flutter realtime face detection and face recognition using OpenCV and dlib
Boost - Super-project for modularized Boost
Face Recognition - The world's simplest facial recognition api for Python and the command line
OpenCV - Open Source Computer Vision Library
Caffe - Caffe: a fast open framework for deep learning.
javascript-algorithms - 📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
Qt - Qt Base (Core, Gui, Widgets, Network, ...)
rust-bert - Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)