https://github.com/hansbambel/cc-tv

City Comparison - Totally Virtual! Using a Flask application and an the openstreetmap database.
https://github.com/hansbambel/cc-tv

cities city-comparison openstreetmap

Last synced: about 1 month ago
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City Comparison - Totally Virtual! Using a Flask application and an the openstreetmap database.

• Host: GitHub
• URL: https://github.com/hansbambel/cc-tv
• Owner: HansBambel
• Created: 2019-11-09T13:15:51.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2019-12-18T09:43:34.000Z (about 5 years ago)
• Last Synced: 2024-10-30T17:11:58.671Z (3 months ago)
• Topics: cities, city-comparison, openstreetmap
• Language: Jupyter Notebook
• Homepage:
• Size: 158 KB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# CC-TV

City Comparison - Totally Virtual!

![Example of Website](/static/images/Example.png)

Using Openstreetmaps ([Link](https://nominatim.openstreetmap.org/)) I am able to get the overlay for a lot of cities. Using these, I calculate their sizes to scale them accordingly.

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#### Requirements

- flask

- geopandas

- Pillow

- shapely

- descartes

- matplotlib

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### Usage

1. Clone this repository

2. Enter repository

3. In command line: "flask run"

4. Go to "http://127.0.0.1:5000/" in your browser

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### Other Files

I also tried training a UNet architecture to detect urban areas, but for now this was not very successful.

As a result there are still files in this repository that I needed for that such as `trainCNN.py`, `GetData.ipynb`, `unet_model.py` and `unet_parts.py`