kelvins / lbph

Local Binary Patterns Histograms (LBPH) implementation in Go

Hey, I'm Kelvin! 👋

• 🧑‍💻 Machine Learning Engineer at Nubank
• 🇧🇷 From Rio Grande do Sul / Living in Santa Catarina
• 📓 I like to write about technology on Medium
• 💕 In love with Python, Go, Rust and Scala
• 🌱 Learning more about Cloud Architecture, Software Engineering and Machine Learning
• 🤝 You can also find me on LinkedIn

lbph's Issues

concatenate all histograms and create a new one which will be used to represent the image.

Please tell me how to do this work？How to concatenate in detail？Thank you！

complete simple demo how to use it in google language

complete simple demo how to use it in google language,

I will be interested to try it comparing from my picture to picture,
thanks

Would you please implement and include the histogram refinement explained in https://github.com/Ashwani21/Local-texture-descriptors in this repo.

Histogram refinement results in https://github.com/Ashwani21/Local-texture-descriptors are very promising.

Use the radius and neighbors parameters

Implement the feature to use the radius and neighbors parameters already provided by the Parameters structure.

[ Question ] Is there any way to save the trained model?

hello, i'm trying to implement your library to my project with 24000 faces which takes a long time to train every time i start the application. so i there any way i could save the trained model into a file and load it back?

Thank you