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Dlib might be a bit more popular than Face Recognition. We know about 17 links to it since March 2021 and only 12 links to Face Recognition. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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. Source: about 1 year ago
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. Source: over 1 year ago
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?. Source: over 1 year ago
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. Source: over 1 year ago
The plugin uses dlib library with a very fast HOG detector for both face recognition and detector following the relative examples. Source: over 1 year ago
Camera connected to a PI? Something like this could run locally: https://github.com/ageitgey/face_recognition. Source: 5 months ago
One of the most common challenges is the black-box problem, when the pipeline becomes too complex to understand it would happen. This can make it difficult to identify issues with the system or to understand why it isn't working as we expected or make accurate predictions that saiwa company find out the solution for Face Recognition. Another challenge is the time required for organizations to deploy a machine... Source: 11 months ago
Second link is an easy to implement python library is you want to build it yourself Https://github.com/ageitgey/face_recognition. Source: 12 months ago
It is similar to https://github.com/ageitgey/face_recognition, except that Ageitgey's cli only compares the first face found in the image to the first one found the the second. Source: about 1 year ago
You'd have alot more luck with something like DLIB or an open source implementation such as: https://github.com/ageitgey/face_recognition. Source: over 1 year ago
OpenCV - OpenCV is the world's biggest computer vision library
ML Kit (by Google) - Machine learning for mobile developers
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Hiface - Hiface is a facial simulation app that lets you decide what makeup or style suits you.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Smart Face Detector - Smart Face Detector is an application used to detect faces that try to enter your phone and restricted program.