SyncPerception (SP) is a Grasshopper plugin for Grasshopper based on GNN model training. It can predict citizens' perception scores in six dimensions of beauty, safety, vitality, affluence, boredom, and depression in real time, simulating human visual perception of urban scenes. It proposes a dynamic method to incorporate citizens' perspectives into urban planning, providing a practical solution for promoting inclusive and people-oriented urban development.
Put the ".gha" file inside plugin folder into your grasshopper component library.
In SyncPerception_MainCode folder, you can find the source code about the plugin development.
Thanks to my collaborators Shangyu Lou. She has made great contributions to methodology, data processing and model training.
If you have any question, be free to contact me: ziqi.cui@polimi.it