Dlib
From Verify.Wiki
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| | |
| Dlib | |
|---|---|
| Type | Open source |
| Industry | Machine Learning |
| Founded | 2002 |
| Key people | Davis E. King (Original Author) |
| Related Certifications | Certificate in Machine Learning Industry Overview |
Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. [1]
Its software is capable of managing areas like:-
- Networking
- Graphical user interfaces
- Data structures and linear algebra
- Image processing
- XML and text parsing
- Numerical optimization
- Bayesian networks
DLib works on Windows, Linux, and OS X. and is licensed under the Boost Software License.
[2]
Contents
Features
Its major features include :
- Documentation - provides complete and precise documentation for every class and function. There are also debugging modes that check the documented preconditions for functions.
- High Quality Portable Code - All operating system specific code is isolated inside the OS abstraction layers which are kept as small as possible.
- Machine Learning Algorithms
- Numerical Algorithms
- Graphical Model Inference Algorithms
- Image Processing
- Data Compression and Integrity Algorithms
Controversies
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