Name		Name	Last commit message	Last commit date
parent directory ..
0. Complete solution.ipynb		0. Complete solution.ipynb
1. AHN preprocessing.ipynb		1. AHN preprocessing.ipynb
1. Generate reference data.ipynb		1. Generate reference data.ipynb
2. Ground and Buildings.ipynb		2. Ground and Buildings.ipynb
3. Cables.ipynb		3. Cables.ipynb
4. Cars.ipynb		4. Cars.ipynb
5. Pole-like objects.ipynb		5. Pole-like objects.ipynb
6. Street furniture.ipynb		6. Street furniture.ipynb
README.md		README.md
Re-label tiles.ipynb		Re-label tiles.ipynb
Region growing.ipynb		Region growing.ipynb
Visualisations.ipynb		Visualisations.ipynb
set_path.py		set_path.py

README.md

Demo Notebooks

These jupyter notebooks serve as a tutorial and demonstration of the tools in this repository.

0. Complete solution -- an overview of the full pipeline.

1. AHN preprocessing -- detailed instructions for pre-processing AHN data.

1. Generate reference data -- detailed instructions for scraping and parsing reference data.

2. Ground and Buildings -- labelling ground and buildings using data fusion with AHN and BGT data.

3. Suspended cables and streetlights -- labelling suspended objects such as utility cables, tram cables, and streetlights.

4. Cars -- label objects as cars based on dimensions of a cluster and BGT data.

5. Pole-like objects -- labelling objects such as trees, street lights, and traffic signs using BGT data.

6. Street furniture -- labelling street furniture objects such as rubbish bins and city benches using clustering techniques and BGT data.

Region growing -- two region growing implementations for the refinement of labeled objects.

Visualisations -- examples of different data visualisations.