pierotofy

Taking credit for other people's work while raising millions? Yeah, pretty bad and relevant.

To me, what's not rational is believing you must rent the tools of your trade while exposing all of your employer's intellectual property to a third party. Difference of opinion.

I use it for work.

Yep. Screw Anthropic, CloseAI and all other rent seekers in this space.

The inference process via ONNX (where most of the CPU time is spent) is multi-threaded. I briefly explored adding multiprocess capabilities for the tiling/downsampling/result merging parts of the codebase, but the improvements were marginal with a trivial implementation, so I didn't explore further (although I'm sure it could be improved).

On the ONNX choice: it's fairly lightweight to install and runs decently fast on a CPU. Other existing libraries forced me to install torch or tensorflow.

Hey, I wrote GeoDeep, what a cool writeup! Glad someone tried to run these on satellite imagery. I did most of my testing on drone derived orthophotos, so was curious to see how it would perform with lower resolution images. Some models like the car model seem like they did poorly. I suspect it's probably because the ground sampling distance (GSD) was in the 35-56 cm/px range, whereas the car model was trained for 10 cm/px. GeoDeep can downscale the input to match the model's input resolution, but can't (currently) upscale it.