ROCm/rpp
AMD ROCm Performance Primitives (RPP) library is a comprehensive high-performance computer vision library for AMD processors with HIP/OpenCL/CPU back-ends.
RPP is a high-performance library that helps professionals in computer vision and signal processing quickly prepare image, 3D voxel, and audio data for analysis. It takes raw or pre-processed data and applies various augmentations like noise, flips, or scalar operations to produce enhanced datasets. This tool is for scientists, researchers, and engineers working with large media datasets, especially those using AMD processors.
Use this if you need to rapidly pre-process or augment 2D images, 3D voxel data, or audio signals using AMD GPUs or CPUs for applications like medical imaging, autonomous driving, or sound analysis.
Not ideal if you primarily work with NVIDIA GPUs, require a Python-only solution without lower-level library integration, or are dealing with non-AMD hardware.
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72
Forks
51
Language
C++
License
MIT
Category
Last pushed
Mar 19, 2026
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