SolarPanelDataWrangler
SolarPanelDataWrangler copied to clipboard
brubsby
Unsure what caused it, will track here. Looks like maybe a file got corrupted? Should probably regenerate imagery at this tile if this happens. ``` Traceback (most recent call last):...
Output from my machine just now when batch deleting imagery during inference ``` 23.02 tiles/s | 18.29 avg tiles/s 18.17 tiles/s | 18.29 avg tiles/s Starting extraneous imagery cleanup/deletion Calculation...
NAIP 0.6 m data might be sufficient for classification (0.5 m data supposedly the cutoff) Lots of sources [here](https://docs.google.com/document/d/1tk9cF4O539TzaMaUufn9Ay4f6qKKEyoNKmzP03kbSDo) from Jack Kelly et al.
For a given polygon, we could source statistics from various places about solar pv adoption, and compare this to the existing OSM pv to find areas with the biggest disparity,...
Currently this is the slowest part of the process, taking up the majority of the time per tile. However CPU utilization bounces around and never reaches 100% for all cores,...
I didn't originally add docstrings throughout this codebase, but Sean Sall suggested it might help readability with multiple contributors. So feel free to add one docstring or many and submit...
Currently clustering is restartable, but doesn't add new positive cases to old clusters, just makes new clusters.
Possibly by grouping things into classes, using dunder method naming, etc.
I can't currently imagine exactly what the tests will look like, but we should write some.
I think due to some combination of SIGINT-ing processes and bugs, it's possible to collect a lot of imagery that isn't tracked in the database, therefore it would be helpful...