DLib
dlib provides C++ libraries for image processing, machine learning, and related algorithms.
About DLib
DLib provides C++ libraries for image processing, machine learning, and related algorithms. Its image processing documentation covers management and manipulation of images using array2d containers that hold different pixel types or user-defined generic image objects, with no separate explicit image object.
It defines pixel types including rgb_pixel, bgr_pixel, rgb_alpha_pixel, and HSI, HSV, and CIELab pixels, and only pixel types with a pixel_traits definition can be used. The site lists C++ and Python examples for tasks such as face detection, object detector training, and video object tracking.
Key features
- Image manipulation using array2d containers instead of explicit image object
- Supports rgb_pixel and bgr_pixel 24-bit RGB pixel types
- Supports rgb_alpha_pixel with 8-bit channels plus alpha channel
- Supports HSI, HSV, and CIELab color space pixels
- C++ examples for face detection and object detector training
- Python examples for face recognition, clustering, and video tracking
Best for: Developers working in C++ and Python who need image-processing components for machine learning workflows.
Good for
- Works with multiple built-in pixel types via pixel_traits
- Supports user-defined generic image objects
- Includes C++ and Python examples for detection and tracking tasks
Watch out for
- Only pixel types with a pixel_traits definition can be used
DLib at a glance
- Website
- dlib.net/imaging.html
- Category
- Development › Developer Tools
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Developer Tools
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