Key-concepts#
A modular structure#
To make DF broadly applicable and allow users to customize their evaluation pipelines, we designed the plugin with a modular structure. By assembling and combining different components, users can tailor their workflows to fit specific project needs.
By combining different components, users can create a wide range of evaluation pipelines. The plugin includes components for:
Data preparation: Import and preprocess data from different sources.
Data analysis: Compute metrics and visualize results.
Data manipulation: Arrange and cluster scans or convert one datatype (e.g. brep) to another (e.g. cloud).
Data export: Export results to different formats.
Have a look at our documentation for all the components.
Evaluation pipelines#
In DF, evaluation pipelines to compare CAD and scans are sequences of components that process data from input to output. They can be as simple as a single component or as complex as a chain of multiple components. Normally it is composed of the following steps:
flowchart LR
A{Data input} -->
B(Data cleaning) -->
C(Registration) -->
D(Error Computation) -->
E{Data export}
D --> F[Visualization]
To show how this works in DF, we provide two examples of evaluation pipelines we have done for timber construction by combining different components:
You can create your own evaluation pipelines by combining different components and let us know if you want to share them with the community or you need a specific component that is not available yet, send an email to diffcheckorg@gmail.com!