Efficiency

[rhett-ye]

When I used resnet50 as backbone training, the time per iteration was about 0.8s (bitchsize=4, gpu=4), and it was also about 0.8s per image at inference, which is a 10x difference from the paper(0.08s). Is this normal? The gpu is 2080ti.

train log:

inference log:

[rhett-ye]

I got it! this 0.8s is the inference time on 20 classes. detecting one novel class at one looping, and then for looping 20 times to detect all 20 novel classes.