Image augmentation for machine learning experiments.
- image-augmentation
- machine-learning
- augmentation
- deep-learning
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Image augmentation for machine learning experiments.
Experimental node-based software for procedural content generation
VeloView performs real-time visualization and easy processing of live captured 3D LiDAR data from Velodyne sensors (Alpha Prime™, Puck™, Ultra Puck™, Puck Hi-Res™, Alpha Puck™, Puck LITE™, HDL-32, HDL-64E). Runs on Windows, Linux and MacOS. This repository is a mirror of https://gitlab.kitware.com/LidarView/VeloView-Velodyne.
Experimental High Level Framework for Vulkan
WebGL Shader demos - GPU rendering shader experiments with procedural 3D scene generation using ray marching and distance field (also known as 'sphere tracing') rendering techniques.
Vulkan Compute for C++ (experimentation project)
🎈 A 16kb Preact & Redux based Progressive Web App that offers an offline gallery experience of external images.
Experimental implementation of ECSY for babylon.js.
An experimental real-time vector render V module based on `sokol.sgl`