Introduction to DaCapo
Welcome to the DaCapo user guide!
DaCapo is a framework for toolset for easily accesing established machine learning approages to help identify objects e.g., organelles) in large, multi-dimensional images. It's goal is to bring the power of machine learning tools to all biologists, regardless of how much (or little) experience they have using these techniques.
Overview of DaCapo
In this wiki user guide, you can find what you need to use DaCapo.
- What files and applications you need before you start
- Setting up a DaCapo-specific environment on your computer
- Creating configuration files to tell DaCapo wht to do
- Evaluating your results.
dacapo allows you to configure machine learning jobs as combinations of DataSplits, Architectures, Tasks, Trainers, on arbitrarily large volumes of multi-dimensional images. dacapo is not tied to a particular learning framework, but currently only supports torch with plans to support tensorflow