Nine object-detection models behind one MIT-licensed Python file

I spent a while comparing detection models for a side project and got tired of published benchmark numbers that assume TensorRT and FP16. So I measured nine of them the same way instead — one V100, plain PyTorch, no optimisation, 48 scenes including fog, thermal, motion blur and low light. Two things came out of it that I didn't expect. Measured latency was 1.6x to 11.6x higher than published, for every single model. That part isn't surprising on its own. What surprised me is that it reordered the ranking rather than shifting everything down equally. Both transformer detectors (RF-DETR, RT-DET