Open Classmate-Huang opened 2 years ago
So that may very well be an issue with the cluster our models were trained and evaluated on, in particular the use of a much slower (but memory-heavier) GPU. The most important aspect is the relative inference speeds in the table, and the provided value should this give somewhat of a lower(-ish) bound on the inference speeds. Given the use of a GTX 2080Ti, higher inference speeds should thus be expected!
So that may very well be an issue with the cluster our models were trained and evaluated on, in particular the use of a much slower (but memory-heavier) GPU. The most important aspect is the relative inference speeds in the table, and the provided value should this give somewhat of a lower(-ish) bound on the inference speeds. Given the use of a GTX 2080Ti, higher inference speeds should thus be expected!
Got it, thank you for your reply!
Where can I find the code for measuring inference time?
I have a question about "inference time" the inference speed listed in your paper is 0.22s per image (~5FPS). But I tested the inference speed in this open-source code, which was very fast. About 20FPS, the GPU I use is a GTX 2080Ti. Why is that?