#2149: gdal, ml, gtfs
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A new entry in the series of posts on using GDAL, this post describes how to visualize other types of data: measures such as elevation, cloud cover, city lights and vegetation
https://medium.com/@robsimmon/a-gentle-introduction-to-gdal-part-5-shaded-relief-ec29601db654 -
W.A.L.D.O. (Whereabouts Ascertainment for Low-lying Detectable Objects) is an ML model to detect features and classify them from aerial and satellite imagery based on YOLO-v7 and published as FOSS
https://github.com/stephansturges/WALDO -
GTFS files converted to Parquet format, served by http and queried via DuckDB-Wasm with SQL queries completed in the browser, as an alternative to using Postgres
http://saadiqm.com/gtfs-parquet-duckdb-wasm/
Raf