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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:
The text was updated successfully, but these errors were encountered:
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.
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:
The text was updated successfully, but these errors were encountered: