Dlib Image Processing
Dlib Image Processing is a sophisticated deep learning library designed for image management and manipulation. It utilizes array2d objects for pixel representation, supporting BGR and RGB formats. The library seamlessly integrates with OpenCV, facilitating object detection and advanced image processing functions, while enabling conversions between formats to enhance versatility in applications.
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Top Dlib Image Processing Features
- Array2d image management
- BGR pixel format support
- OpenCV integration compatibility
- Multiple image format saving
- Custom feature extraction flexibility
- Object detection training capability
- Built-in GUI image display
- CNN-based object detection tools
- Image segmentation visualization tools
- Reverse conversion to OpenCV
- Image processing function variety
- Gradients computation support
- Flexible candidate object evaluation
- Pixel type conversion on save
- CMake integration for setup
- DNG format support
- Support for JPEG compression
- WebP format support
- SURF algorithm variants
- User-defined generic image objects
