In Tissue.jl, computations to be done on an input stream are described by a directed-acyclic graph. Write how each node, called calculators, processes inputs into outputs, link these nodes together in a graph, and Tissue.jl takes care of running the whole thing, with each calculator in its own task. If each node is a biological cell, then a graph would be a tissue, wouldn't it?
Our documentation is hosted here.
Want to contribute to Tissue.jl? Great! Head over to the Issues tab to get a feel for where the project is headed, or just start hacking right away on whatever you like! Pull Requests will be greatly appreciated.
Tissue.jl was inspired by MediaPipe.
We adapt code from the OpenCV contrib repository to give an example of how to use Tissue.jl in our documentation. The files
docs/src/assets/opencv_face_detector_uint8.pbdocs/src/assets/opencv_face_detector.pbtxt
were taken from this repository.