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A collection of parallel image processing algorithms in pure Go. The aim of this project is simplicity in use and development over absolute high performance, but most algorithms are designed to be efficient and make use of parallelism when available. It uses packages from the standard library whenever possible to reduce dependency use and development abstractions. All operations return image types from the standard library. Package convolution provides the functionality to create and apply a...
TFastDIB consists of a DIB class and units with optimized routines for common graphics tasks like resampling, blending, quantizing & dithering, color space conversions, bit depth conversions, rendering primitives, and a collection of filters and effects.
PopED (Population Experimental Design) is a software tool for computing optimal experimental designs. The software has been developed with an emphasis on drug trials based on population models (non-linear mixed effects models).
Image-In is a C++ based image processing and analysis application. It works on images, videos and cameras. Target is to help you to develop and test new algorithms via add-ons. Chains of filters can be arranged to achieve intelligent systems.