Right now rs masks is able to combine multiple slippy map directories with probabilities. The idea is that we can have multiple models and this feature allows us for model ensembles.
We should add functionality to upsample or downsample slippy map directories with probabilities based on zoom levels.
The use-case is as follows:
we train models to detect roads on zoom level 19, very close up with details
we train models to detect roads on zoom level 16, further away high-level view
we predict and get two slippy maps probs/19/x/y.png, probs/16/x/y.png
we want to combine these predictions into masks on a specific zoom level, say z18
we need to downsample the z19 predictions and upsample the z16 predictions
We can either extend rs masks to upsample or downsample. Or we add a new tool which can transform a slippy map directory on zoom level z0 into a slippy map directory on zoom level z1, with z0 != z1.
Implementation notes:
mercantile has functionality for children and parent tiles
Right now
rs masksis able to combine multiple slippy map directories with probabilities. The idea is that we can have multiple models and this feature allows us for model ensembles.We should add functionality to upsample or downsample slippy map directories with probabilities based on zoom levels.
The use-case is as follows:
probs/19/x/y.png,probs/16/x/y.pngWe can either extend
rs masksto upsample or downsample. Or we add a new tool which can transform a slippy map directory on zoom level z0 into a slippy map directory on zoom level z1, with z0 != z1.Implementation notes: