MidcurveNN is a project aimed at solving the challenging problem of finding the midcurve of a 2D closed shape using neural networks. The primary goal is to transform a closed polygon, represented by a set of points or connected lines, into another set of points or connected lines, allowing for the possibility of open or branched polygons in the output.
Instructions to Run
cd src conda env create -f environment.yml activate midcurvenn python simpleencoderdecoder\main_simple_encoderdecoder.py
Results of Simple Encoder Decoder Neural Network
Thoughts
Graph Summarization/Dimension-Reduction/Compression: Reducing a large graph to a smaller graph preserving its underlying structure, similar to text summarization, which attempts to keep the essence.