A C++14 header-only library for high-performance video and image processing using meta-programming and SIMD optimizations.
Video++ is a C++14 header-only library for high-performance video and image processing. It uses meta-programming to generate compiler-optimized code, enabling developers to write efficient applications for multicore SIMD processors. The library provides generic image containers, parallel processing constructs, and seamless interoperability with OpenCV.
C++ developers working on performance-critical video and image processing applications, such as computer vision, real-time video analysis, or scientific imaging.
Video++ offers zero-cost abstractions and an embedded expression language, allowing developers to write high-level code that compiles into highly optimized SIMD and multicore machine instructions without sacrificing performance.
Video++, a C++14 high performance video and image processing library.
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Uses meta-programming to generate compiler-optimized code, ensuring high-level C++14 syntax compiles into efficient SIMD and multicore instructions without performance penalties, as emphasized in the philosophy.
Provides header-based conversions (e.g., from_opencv/to_opencv) for zero-copy data sharing between Video++ and OpenCV image types, enabling integration without buffer cloning, as detailed in the OpenCV section.
Offers pixel-wise, block-wise, row-wise, and column-wise kernels with OpenMP support, allowing easy parallelism on multicore CPUs for tasks like image filtering, as shown in the kernel examples.
Simplifies integration by requiring only header inclusion (vpp.hh) without complex linking, making it portable and easy to add to projects, as mentioned in the installation guide.
Only tested with specific compiler versions (G++6, Clang++ 3.8.0), which may be outdated and restrict cross-platform development or adoption of newer C++ features.
Requires Eigen3, Boost, and the iod library, adding setup complexity and increasing project footprint, as noted in the dependencies list, which can be a barrier for lightweight deployments.
Lacks extensive tutorials and community resources compared to alternatives like OpenCV, making it harder for new users to overcome the learning curve of meta-programming and advanced C++14 usage.