Search Results for "effects"

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...

Consistent Depth is a research project developed by Facebook Research that presents an algorithm for reconstructing dense and geometrically consistent depth information for all pixels in a monocular video. The system builds upon traditional structure-from-motion (SfM) techniques to provide geometric constraints while integrating a convolutional neural network trained for single-image depth estimation. During inference, the model fine-tunes itself to align with the geometric constraints of 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).

libease is a shared library containing easing methods that can be used for graphical effects or mathematical calculations.

CthughaNix is the reincarnation of Cthugha-L, a Linux port of one of the first audio visualization software packages, known as "An Oscilloscope On Acid".

Library for calculating fields of view and lighting on low resolution rasters, suitable for roguelike games.

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.