Ad Gothi's 3D Houses Project
Repository:https://github.com/gothigithub/3D_houses Presentation:(link) Type of Challenge: Learning & Consolidation Duration: 2 weeks Deadline: 25/02/21 5:00 PM Deployment strategy : Github page | Powerpoint | Jupyter Notebook | Webpage | App Team challenge : solo
This is a repository showing all the files in this repository:
- MAIN.ipynb (Final Product )
- 3D HOUSE PRESENTATION.ppt (the powerpoint presentation )
- DATA (folder contains all data collection for the project .git ignore )
README.md <------------------- --------------You are here now!
Company LIDAR PLANES , Which is active in the Geospatial industy. We would like to use our data to launch a new branch in the insurrance business. So, we need you to build a solution with our data to model a house in 3D with only a home address.
Consolidate the knowledge in Python, specifically in : NumPy Pandas Matplotlib
3D lookup of houses.
Nice-to-have features: Optimize your solution to have the result as fast as possible. Features like the living area of the house in m², how many floors, if there is a pool, the vegetation in the neighborhood, etc... And a Better visualization.
- [ ]to be able to search and implement new librairies
- [ ]to be able to read and use shapefiles
- [ ]to be able to read and use geoTIFFs
- [ ]to be able to render a 3D plot
- [ ]to be able to present a final product
Understand: Lidar Segmentation DSM DTM Deliverables: source code on the GitHub repository.
- [X]Create the repository
- [X]Study the request (What & Why ?)
- [X]Download the maps
- [X]Canopy Height Model
- []Identify technical challenges (How ?)
- []Evaluation criterias
- []It works (no bugs in the console, no error)
- []You use Git from the start and during the entire process of the - []development (at least one push per day)
- []You convince us during the final presentation
Readme Update "about this repository" Mindmap procedural Collect all TIF files & Map in "DATA" folder ... ... Check if everything Works ...