Process parts of image individually / pad image to model aspect

[BenBE]

To avoid clipping the image partway it would be nice if the image may be split into two (or more) overlapping areas that are fed to the NN and recombined after detection (by e.g. ORing the results together). This is overall a bit slower but would allow for arbitrary aspect rations to be handled. This might also allow for feeding a scaled image into the NN and refining the result area by area.

[floe]

Hmmm, interesting idea. That might work with deeplab, worth a try. For the Google Meet model, I think it's mostly trained on images showing the full portrait in the center of the frame, so splitting the person across "tile" boundaries might not work at all...

[BenBE]

For the Google Meet model padding the image on top/bottom might be worth a try (resizing the image if necessary, even though slower that way).

[floe]

Good point, this should be easy to try.