About This Project

The augmented model project was born during an experiment as part of the MAM project: Mediation and Augmented Modeling. Various workshops were organized in collaboration with LabEx IMU, ERASME Urban Lab and the École Urbaine de Lyon.

The project consists of a model of a city district made from Lego and created from a web platform. This model is made to be installed in public places and used in the context of mediation or neighborhood council.

About This Repository

⚠️ This version is using the tiles hosted on Exo-Dev's server ⚠️

This repository contains the backend code that enables and allows the platform's users to visualize, data processing and building the results on the front side.

This code will :

• Receive the Bbox of the selected zone
• Get the meshes from the WFS stream, merge it and clip it.
• Voxelize the meshes
• ...

Technical Information

Available Layer Services

• WFS 1.0.0, 1.1.0 & 2.0.0
• WMS 1.1.1, 1.3.0
• WMTS 1.0.0

Available WFS/WMS Output Results

• CSV
• GML
• GeoJson
• KML
• GeoRSS
• OpenLayer

Used EPSG Geodetic Parameters

• Bbox : EPSG:2154
• GeoServer Default Projection : EPSG:2154

How to deploy

⚠️ This requires a PostgreSQL database setup ⚠️

The /sql folder already contains the sql scripts to execute for creating and filling the database's tables.

Set Up a PostgreSQL Database

• Setup a PostgreSQL Server depending on the OS you're using.
• Execute the sql scripts available at the /sql folder ( create-tables.sql & insert-tables.sql )

docker exec -it maquette_augmentee_postgres psql -U postgres -d postgres -f /sql/create-tables.sql
docker exec -it maquette_augmentee_postgres psql -U postgres -d postgres -f /sql/insert-datas.sql

Run the app

• Clone the repository git clone https://github.com/datagora-erasme/maquette_back.git

• Change variables on the .env file (taking the .env.EXAMPLE as an example)

• Install Python PIP requirements :

pip install -r requirements.txt

• Start the API python run.py

Use-case Specification

Voxelization :

We tried to make and render the voxelization fully in python, using the Pyvista python module but the received data we are using wasn't that clean and easy to handle!

So, we prefered using another oriented/specific and straight-forward tool for voxelization called binvox that reads a 3D model file, rasterizes it into a binary 3D voxel grid, and writes the resulting voxel file.

Example

In this example we will use a part of Lyon 3 (around tour Part-Dieu) and the Bbox [843845.1134647338, 6519404.7046337575, 844253.0381356651, 6519813.770257493] using the /api/dataprocess endpoint.

Rendering

Voxelization