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Graphics32 is a graphics library for Delphi and Lazarus. Optimized for 32-bit pixel formats, it provides fast operations with pixels and graphic primitives. In most cases Graphics32 considerably outperforms the standard TBitmap/TCanvas methods.

Pure Go GPU Application Framework — windowing, input, lifecycle, platform abstraction. Part of the GoGPU ecosystem.

A cross-platform image viewer which supports reading raw Luminance/YUV/RGB/ARGB/Bayer pixels data from file and rendering it.

  • yuv
  • yuv2rgb
  • yuv420
  • yuv-tool

Four engines to render SVG (Delphi Image32, SVGMagic, Skia4Delphi, Direct2D wrapper) and four components to simplify use of SVG images (resize, fixedcolor, grayscale...) for VCL and FMX platforms.

Bolt is a C++ template library optimized for GPUs. Bolt provides high-performance library implementations for common algorithms such as scan, reduce, transform, and sort.

Imgcompress is a self-hosted image processing toolbox that handles compression, format conversion, and AI background removal in a single web interface. It supports over 70 input formats (including PSD, HEIC, and RAW) and can output common formats or generate PDFs, all without sending files to external services.

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.

  • lidar
  • lidar-camera-calibration
  • lidar-data-manipulation
  • lidar-measurements

LidarView performs real-time reception, recording, visualization and processing of 3D LiDAR data. This repository is a mirror of https://gitlab.kitware.com/LidarView/lidarview.

ClojureCL is a Clojure library for parallel computations with OpenCL.

  • opencl
  • parallel-computations
  • clojure-library
  • clojure

OME (Open Microscopy Environment) develops open-source software and data format standards for the storage and manipulation of biological light microscopy data. A joint project between universities, research establishments and industry in Europe and the USA, OME has over 20 active researchers with strong links to the microscopy community. Funded by private and public research grants, OME has been a major force on the international microscopy stage since 2000.

  • omero
  • java
  • python
  • server