Support lower fixed input resolution (e.g. 768×768) for Detectron2 Mask R‑CNN sample

[luxi78]

The samples/python/detectron2 sample currently only demonstrates using a fixed input size of 1344×1344 for exporting and running the Detectron2 Mask R‑CNN model. In many deployment scenarios (edge devices, real‑time applications), this resolution is quite high in terms of memory and latency cost.​

Would it be possible to officially support or document a smaller fixed input resolution, such as 768×768 (or other lower sizes satisfying the model/plugin constraints)? Even just a short note or example on how to safely change the input resolution in the sample (and what limitations to expect) would be very helpful.

Thanks!